This roundtable discussion, moderated by Mr. Catalin Marinescu, focused on how digital technologies, data, connectivity, and artificial intelligence can be harnessed to build climate resilience, and how international cooperation can translate ambition into concrete action .
Keynote speaker Prof Bilge Demirköz offered a thought-provoking perspective, warning that information is being lost on Earth through species extinction at a rate of 150 species per day , and raising concerns about the growing energy consumption of AI data centres and their additional heat loads . She also highlighted emerging risks of moving AI compute to space, including radiation interference with AI model weights, and the carbon cost and e-waste implications of satellite deployment .
Country representatives underscored the urgency of integrating digital infrastructure into national resilience strategies. The Philippines described connectivity as a public good, citing over 24,000 free internet access points, 95% of public schools connected, and a super app with 55 million downloads , while stressing that emergency communications must remain functional during disasters . Malaysia outlined its Sustainability Framework and Roadmap 2030, highlighting a six-way mobile network-sharing agreement that delivers energy efficiency improvements of 20-40% and carbon footprint reductions of 10-20% . Uganda called for international support in capacity building, financing, and technical training to assess the environmental impact of new ICT deployments .
GIZ's Ingrid Hoven emphasised that closing the climate data gap could reduce forecast errors by 30% in Africa and generate up to $160 billion in wider economic gains annually . She described community-based weather station projects involving local fishermen to build trusted, locally relevant data . UNEP's Sally Radwan highlighted persistent barriers, including a lack of interoperability, data governance, and funding for foundational infrastructure, and called on donors to scale proven use cases rather than only funding new pilots .
Speakers broadly agreed that digital and climate agendas must converge rather than run in parallel . ITU's Tomas Lamanauskas noted that digital technologies could reduce greenhouse gas emissions by 20% by 2050 and that every dollar invested in early warning systems returns $8 in savings . The discussion concluded with a shared call for stronger international partnerships, common standards, and inclusive financing mechanisms to ensure that digital climate solutions benefit all countries, particularly the most vulnerable .
Overall Purpose
- The discussion aimed to explore how digital technologies, data, connectivity, and artificial intelligence can be harnessed to build climate resilience, and how collaboration across governments, UN entities, industry, and international partners can translate ambition into concrete delivery. ---
Major Discussion Points
- Digital infrastructure as a foundation for climate resilience: Multiple speakers emphasised that connectivity and digital infrastructure are no longer merely economic tools but essential components of national resilience. The Philippines highlighted that digital infrastructure determines who receives storm warnings, whether schools stay open, and whether governments can function during disasters, citing over 24,000 free public internet access points and 95% school connectivity. Malaysia similarly stressed that communications networks must remain reliable during floods and extreme weather, pointing to its six-way MOKEN network-sharing agreement as achieving energy efficiency improvements of 20-40% and carbon footprint reductions of 10-20%. - The climate data gap and the need for better data governance: Several speakers stressed that while more climate data is being produced than ever, significant gaps remain, particularly in the Global South. GIZ noted that the World Meteorological Organization estimates closing the essential weather and climate data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific, with potential annual economic benefits of up to US$160 billion. UNEP's representative identified interoperability, lack of data governance principles, insufficient capacity, and unclear quality metrics as the biggest systemic issues, and warned that donor funding tends to favour new use cases over foundational infrastructure and scalability.
- The environmental footprint of digital technologies and AI compute: Prof. Bilge Demirköz raised concern that the heat load and energy consumption of AI computing globally is contributing to climate pressures, and questioned whether moving data centres to space - as some companies propose - would genuinely reduce carbon emissions or simply create new problems such as metal oxide pollution in the atmosphere and radiation-induced data corruption. ITU's representative noted that data centres' electricity consumption is projected to double by 2030, with 2.5 million tonnes of e-waste and water consumption equivalent to the needs of 1.3 billion people in sub-Saharan Africa expected by the same year. - The need to move from pilots and commitments to scalable implementation: Multiple speakers called for a shift from discussion and isolated pilots to coordinated, scalable action. ITU's Green Digital Action initiative was cited as a key vehicle, having grown from an industry effort to a COP29 presidency initiative with over 80 countries and 1,800 non-state actors committing. GeSI's representative argued that data only creates resilience when it is trusted, interoperable, accessible, and translated into planning and investment decisions, and called for better metrics, policy integration, and stronger multi-stakeholder partnerships. GGGI highlighted that developing countries, many of which are in debt distress, risk being left behind without innovative financing mechanisms and de-risking instruments to attract private sector investment. - International cooperation, capacity building, and equity: Uganda and GGGI both underscored that many developing countries lack the engineering capacity to assess the environmental impact of new ICT deployments, including low Earth orbit satellites, and called for technical support, training, and financing from more advanced nations. China's representative highlighted the importance of international standards - such as ITU Study Group 5 work on energy efficiency and climate change - as enablers of collective progress, and invited global partners to contribute to joint use-case stocktaking exercises. ---
Overall Tone
- The overall tone of the discussion was constructive, collaborative, and earnest, with a consistent undercurrent of urgency. Speakers from both developed and developing nations shared a genuine commitment to partnership and practical action.
- Early in the session, Prof. Demirköz introduced a note of candid concern and even sadness, acknowledging that the global community appears to be prioritising adaptation over mitigation because it has accepted it cannot meet its original climate goals - a sobering admission that set a reflective mood. As the roundtable progressed, the tone became more solution-oriented and forward-looking, with speakers from the Philippines, Malaysia, GIZ, ITU, and Turkey sharing concrete examples and calling for deeper cooperation. However, voices from Uganda, GGGI, and UNEP introduced a note of realism, particularly regarding the inadequacy of financing, the risk of leaving developing nations behind, and donor reluctance to fund foundational work.
- By the close of the session, the tone returned to one of collective resolve and optimism, with the chair and speakers alike emphasising convergence, partnership, and the shared goal of a resilient digital future.
Expanded Summary: Building a Digital Climate Resilient Future - High-Level Roundtable Discussion
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Session Overview and Purpose
The roundtable was opened and moderated by Mr. Catalin Marinescu, who framed the session around a central challenge: as climate impacts become more frequent and complex, digital tools, data, connectivity, artificial intelligence, and partnership are increasingly central to how societies anticipate risks, inform decisions, and support implementation on the ground . The session aimed to explore how the green digital action agenda is evolving to respond to resilience needs, and how collaboration across governments, UN entities, industry, and partners can help move from ambition to delivery . The programme included a keynote address followed by a high-level round table with speakers from government, international organisations, and the private sector, with participants asked to keep their interventions to three minutes given the tight schedule .
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Keynote Address: Information Loss, AI Compute, and the Limits of Technological Optimism
Professor Bilge Demirköz, a physicist and astrophysicist from Middle East Technical University in Ankara and a member of the UN AI Scientific Panel, delivered the keynote on multilateral governance for new and emerging technologies . Her address was deliberately unconventional, opening with a reflection on what information means at a cosmic scale. She noted that physicists do not know how much information exists in the universe, nor whether information is being destroyed by black holes beyond the event horizon - one of the most actively debated questions in contemporary physics .
From this cosmic framing, Prof. Demirköz drew a striking parallel to Earth: she argued that information is disappearing on this planet too . Approximately 150 species are lost each day, and each species carries up to 1.5 gigabytes of genetic data at the DNA level - data that encodes not just biological information but the complex behaviours and life processes that constitute knowledge . She noted that humanity is experiencing the biggest loss of marine life since the extinction of the dinosaurs, and that with 72% of the world's oceans largely unexplored, information is being lost before it can even be discovered .
Prof. Demirköz then turned to the digital domain, raising concern about the growing energy consumption of AI data centres and the additional heat loads they generate globally . She expressed candid sadness that the international community appears to be prioritising adaptation and resilience-building over mitigation, stating directly that this reflects an awareness that climate goals cannot be met . This was a rare and sobering admission in a multilateral setting, effectively questioning the premise of the session's own framing. She noted that the additional heat loads from AI computing worldwide compound this problem and that these issues are expected to be discussed at COP31 in Turkey .
On the question of proposed solutions, Prof. Demirköz examined the idea of moving AI computing to space, where solar panels operate at higher efficiency than on Earth . However, she identified several serious risks: radiation in space can randomly alter the weights stored in AI models without detection, potentially causing catastrophic outcomes ; the carbon cost of launching data centres into orbit has not been adequately quantified ; and when satellites reach end of life and re-enter the atmosphere, the resulting e-waste generates metal oxide pollution with poorly understood consequences . She also noted that one company is planning to deploy 1.2 million satellites in the coming years, with this venture valued at US$1.6 trillion - described as the largest IPO in the world - raising further questions about the scale of environmental impact . She announced plans to raise the question of carbon emissions from space launches directly with SpaceX, noting that a panel on AI compute in space was scheduled for the following day at 2:30, to which she invited attendees . She also referenced the UN AI Panel's commitment to producing thematic briefs on quantum computing and space to fill identified knowledge gaps .
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The Philippines: Connectivity as a Survival Mechanism
Her Excellency Ms. Sarah Maria Q. Sison, Under Secretary for Policy and Legal Affairs in the Department of Information and Communication Technology of the Philippines, offered the first national perspective . She opened with a powerful reframing: for the Philippines, climate resilience is not a concept in a report - it is the weather . As an archipelago of more than 7,000 islands facing typhoons, floods, drought, and rising seas as a matter of routine, the Philippines has learned that resilience is no longer built only from concrete and steel but also from connectivity .
Ms. Sison argued that digital infrastructure now determines who receives a warning before a storm, whether a school stays open, whether a farmer remains connected to markets, and whether government can continue to function when floodwaters rise . The Philippines therefore does not treat digital transformation as a technology agenda but as a resilience strategy . She offered three concrete proofs of this approach: over 24,000 free public internet access points and 95% of public schools now connected ; more than 3,000 kilometres of national fibre backbone ; and a government super app - eGovPH - that has surpassed 55 million downloads and provides access to more than 260 public services on a single screen . She described these not as ICT projects but as resilience investments .
A fourth and, in her view, most critical element is emergency communications, being developed through the National Emergency Communications Plan . The principle is straightforward: connectivity must not disappear at the exact moment when people need it most, because in a disaster, communication is not a convenience - it is a warning, coordination, and rescue . Ms. Sison was also candid about limitations, acknowledging that more technology does not automatically mean more resilience, and that more data does not automatically mean better decisions . Data helps only when it is timely, trusted, and usable by those who must act on it - and this, she argued, is fundamentally a governance problem, not a hardware problem . She called for digital transformation and climate resilience to meet in planning, budgeting, standards, and security rather than running on parallel tracks , and acknowledged remaining gaps including uneven local capacity, siloed climate data, and financing that does not match the scale of risk . She concluded by invoking the Filipino concept of bayanihan - collective heroism in which neighbours lift each other up - as the model for a digital climate resilience future in which no community is left behind .
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Malaysia: Sustainability Frameworks and Infrastructure Sharing
His Excellency Mr. Datuk Abdul Halim bin Hamzah, Secretary General of the Ministry of Communications in Malaysia, presented Malaysia's national approach to integrating digital development with climate responsibility. He emphasised that as digital demand continues to grow, connectivity, innovation, and infrastructure must be developed in ways that also support climate resilience and long-term sustainability . Malaysia's commitment to the Paris Agreement and net zero by 2050 requires a whole-of-economy transition, and the communications sector must play a dual role: reducing its own footprint while enabling climate resilience across the wider economy .
The Malaysian Communications and Multimedia Commission (MCMC) has developed a Sustainability Framework and Roadmap 2030 covering three priority areas: climate action, social impact and inclusion, and technology and innovation . This is being translated into three concrete actions. First, resilient connectivity through infrastructure sharing: Malaysia became the first country globally to have its mobile network operators sign a six-way multi-operator core network (MOKEN) sharing agreement, supported by MCMC guidelines . This sharing model delivers energy efficiency improvements of between 20% and 40%, carbon footprint reductions of between 10% and 20%, and e-waste reductions of between 15% and 25% . Second, Malaysia is building a sector-wide greenhouse gas baseline covering Scope 1, Scope 2, and relevant Scope 3 emissions across major licensees, and is contributing to the ITU I2X Group on Telecommunications and ICT Indicators pilot initiative to align national data with emerging international benchmarks . Third, MCMC is working with industry and partners to identify emerging technologies for sustainable infrastructure, including the use of biochar as a partial substitute for cement in telecommunications poles, with early deployments indicating potential carbon reductions of around 10-15% compared with conventional concrete poles . Mr. Hamzah concluded by calling for stronger international cooperation, comparable data, shared technical knowledge, and solutions that can be adapted across different markets .
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GIZ: The Economic Case for Closing the Climate Data Gap
Ms. Ingrid-Gabriela Hoven, Managing Director of GIZ (the German Development Agency), focused her intervention on the critical importance of climate data and the economic rationale for closing existing gaps. She argued that better data enables earlier anticipation of risk, better targeting of limited resources to areas of greatest impact, and faster action on the ground - including real-time information for farmers and agencies that can reduce the economic and social costs of climate-related disasters . However, she stressed that the climate data gap remains very large, with basic ground observations missing in many parts of the world .
To make the case to decision-makers, Ms. Hoven cited compelling figures: the World Meteorological Organization estimates that closing the essential weather and climate data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific . According to World Bank data, better forecasts and their practical application could produce US$5 billion in annual direct benefits and US$160 billion in wider economic gains . She argued that this constitutes a clear business case that decision-makers should seize . Beyond the economic argument, she framed investment in climate data as a tool to empower local communities .
Ms. Hoven described GIZ's Fair Forward - AI for All initiative, through which 53 community-based weather stations and low-cost environmental sensors have been established across 10 provinces in partnership with local communities . Residents were actively involved in the design process - for example, fishermen helped identify ideal locations for the weather stations - producing locally relevant data that people trust and use because it comes from and is recognised by the communities themselves . This data now allows fishermen to decide when to go to sea, prepare for storms, and adjust their livelihoods . She noted that GIZ has developed more than 30 scalable open-source AI and data-powered climate solutions across Southeast Asia, Africa, and Latin America, which can be adapted to different local contexts and further developed by partners themselves, reducing digital dependencies . The consistent lesson across all of these initiatives, she argued, is that digital technologies strengthen climate resilience when they close the gap between data and action, and when they are built with the people who rely on them .
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Uganda: Capacity Gaps, Sovereignty, and the Need for Support
Dr. Abdul Salam, Head of Litigation, Prosecution and Legal Advisory at the Uganda Communication Committee, offered a perspective that shifted the discussion towards the challenges facing developing nations. He framed Uganda's approach around the principle that digital transformation should strengthen the ability to prepare for, respond to, and recover from climate-related risks while supporting sustainable development . From the regulator's perspective, connectivity is not merely an economic enabler but part of national resilience - during climate events, people need reliable communications to receive information, access services, coordinate responses, and support recovery .
Dr. Salam identified three national priorities: digital infrastructure must be reliable, inclusive, and resilient, especially for underserved communities and areas most exposed to climate risks ; digital and climate data must be translated into planning, investment, and decision-making rather than remaining as information in silos ; and digital transformation must be environmentally responsible, with management of energy use, e-waste, equipment lifecycle, and responsible infrastructure deployment . Uganda is already advancing practical work in these areas, including ICT waste management systems, sustainable digital inclusion, and planned work on the communications sector's energy and carbon footprint .
However, Dr. Salam introduced a critical dimension that had been largely absent from the discussion: the question of technical capacity. He asked directly how many engineers in Africa have the competence to conduct reliable environmental impact assessments of new ICT deployments such as low Earth orbit satellites . He questioned whether credible reports exist on what these satellite constellations will do to local populations and weather systems , and argued that as these innovations are brought to developing countries, technical support, training, and financing are urgently needed . This intervention powerfully linked technological sovereignty, environmental justice, and capacity building, and reinforced concerns raised by Prof. Demirköz in the keynote about the unexamined environmental risks of large-scale satellite deployment.
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ITU: Quantifying the Potential and Tracking Progress
Mr. Tomas Lamanauskas of the ITU provided an institutional overview of the digital-climate nexus, acknowledging both the risks and the potential of digital technologies. He noted that the digital sector accounts for up to 4% of global greenhouse gas emissions, that data centre electricity consumption is projected to double by 2030, that e-waste will reach 2.5 million tonnes annually by 2030, and that water consumption by the sector will be equivalent to the needs of 1.3 billion people in sub-Saharan Africa . These figures, he argued, represent a side of the story that must be taken seriously .
At the same time, Mr. Lamanauskas stressed the enormous positive potential of digital technologies: by some estimates, 20% of greenhouse gas emissions could be reduced by 2050 through smarter energy systems, efficient transport, and precision agriculture . Climate monitoring already contributes an estimated US$440 billion to global GDP, with further annual value being realised . On early warning systems - a key area of ITU's work in collaboration with WMO, UNDRR, and other partners - every dollar invested is estimated to return US$8 in savings and to reduce mortality at least tenfold .
Mr. Lamanauskas described ITU's efforts to operationalise this potential. ITU is working with the UNFCCC to integrate data and AI into the measurement of Nationally Determined Contributions (NDCs) . While 90% of reviewed climate pledges integrate digital solutions, most do so at a superficial level, indicating significant room for deeper operationalisation . ITU has also collected 150 use cases of digital technologies applied to climate action, with 25% integrating AI and machine learning . He described the evolution of the Green Digital Action initiative from an industry effort that began during the COVID-19 period, through to a COP29 presidency initiative with over 80 countries and 1,800 non-state actors committing through the Green Digital Action Declaration . At the Belém COP, the initiative moved further onto an implementation track, and has since been advanced through the Green Digital Action Hub, with GIZ as a key partner . Mr. Lamanauskas also referenced an AI environmental transfer initiative involving ITU and partners, with implementation planned in connection with the upcoming COP . An AI Climate Institute has additionally been launched to explore how AI can contribute to climate solutions . Looking ahead, Mr. Lamanauskas expressed strong collaboration with the COP31 presidency in Turkey, anticipating a Digital Day and a clear demonstration that AI can be part of the solution rather than the problem .
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UNEP: Structural Barriers in the Global Data Ecosystem
Ms. Golestan (Sally) Radwan, Chief Digital Officer of the UN Environment Programme (UNEP), offered what was perhaps the most candid and structurally critical perspective of the session. She described UNEP's Global Environmental Data Strategy, which examined the global environmental data ecosystem and identified several systemic issues: lack of interoperability, absence of clear data governance principles, insufficient capacity, limited access and affordability for many countries, and lack of clear metrics for quality measurement of environmental data .
When this strategy was presented to all 193 member states, the biggest concern expressed was not that UNEP was focusing on the wrong things, but that the strategy might add to their reporting obligations . This, she explained, is because many countries are already overwhelmed by their NDC reporting and other annual obligations, and simply do not have the infrastructure or capacity to comply . Ms. Radwan then identified what she described as her two key concerns with the donor funding landscape: donors do not fund foundational work, only use cases; and they only fund new use cases rather than solutions that can grow and scale across different countries . She stated plainly that there is no money in foundational infrastructure and no money in scalability .
She noted one exception: GIZ, which funded a pilot project on transboundary data sharing between three African countries, including Uganda, focused on flood early warning preparedness . She argued that environmental catastrophes know no boundaries, making transboundary data sharing vital, and that viable use cases with clear economic and societal benefits can overcome data sovereignty concerns when appropriate assurances are provided . Her plea to those with influence over funding was to look at scaling these use cases, replicating them, and delivering common data infrastructure that would allow countries to meet their reporting obligations and deploy AI-driven climate tools .
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GeSI: Private Sector Perspectives on Responsible Scaling
Mr. Luis Neves, Chief Executive Officer of the Global Enabling Sustainability Initiative (GeSI) - a trade association representing digital companies with a combined market value of US$6 trillion - noted that GeSI was founded 25 years ago as part of a UNEP initiative before becoming a private sector organisation . He argued that a fundamental shift is needed: digital transformation and climate resilience must stop being treated as two separate agendas . He acknowledged that digital technologies can clearly strengthen resilience through improved early warning systems, climate risk modelling, optimised energy and water systems, and better decision-making before, during, and after climate shocks . However, he stressed that the key word is not digital but decision: data only creates value when it is trusted, interoperable, accessible, and translated into planning, investment, and operational decisions, making digital public infrastructure, data governance, and common standards fundamental .
Mr. Neves also emphasised that digital resilience must itself be sustainable. AI, connectivity, and data-driven systems rely on data centres, networks, energy, water, hardware, and materials, and scaling digital climate solutions without managing their own footprint risks creating new environmental pressures while trying to solve existing ones . He called for planning computing infrastructure together with energy systems, water stewardship, and local resilience . From GeSI's perspective, the more difficult question is not whether digital technologies can contribute to climate resilience - they can - but how to govern, measure, and scale them responsibly . This requires better metrics measuring not only digital deployment but climate and resilience outcomes; better integration of digital, climate, energy, and infrastructure policy; and stronger multi-stakeholder partnerships . He argued that international cooperation must ensure digital climate solutions are not only available to the most advanced markets but also to the communities most exposed to climate risk .
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Turkey: COP31 as a Pivotal Implementation Milestone
Ms. Aysel Kandemir, General Director of Communications, Transport and Infrastructure from Turkey, described the intersection of digital transformation and climate change as a fundamental necessity rather than merely a policy choice . For Turkey, resilience-building is at the core of national strategies, with digital technologies - from advanced early warning systems to AI-driven resource management - serving as the central nervous system of climate adaptation efforts . Following the 2023 earthquakes, Turkey accelerated the integration of satellite data, AI-supported disaster modelling, and real-time sensor networks into its disaster management system, with meteorological and hydrological monitoring networks increasingly interoperable with early warning platforms .
Ms. Kandemir outlined Turkey's plans for COP31, to be held in Antalya from 9-20 November . These include organising a dedicated digitalisation thematic day within the COP31 programme, convening a ministerial dialogue, hosting high-level roundtables on the contribution of AI and digital technologies to climate action, holding implementation-oriented sessions on finance, capacity building, and partnerships, and facilitating ecosystem discussions with the private sector and technology companies . She described COP31 as a pivotal milestone to align the global digital agenda with climate action at scale, and invited all stakeholders to join in Antalya to forge actionable partnerships .
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GGGI: Inclusive Finance and the Risk of Leaving Developing Nations Behind
Dr. Malle Fofana, Deputy Executive Director of the Global Green Growth Institute (GGGI) - an intergovernmental organisation based in South Korea working across Africa, Asia, and Latin America - proposed adding two words to the session's title: 'shared' and 'inclusive', arguing that these qualities are not yet guaranteed in the digital climate resilience agenda . He highlighted a stark disparity: Africa has 18 times fewer meteorological stations than the US and EU, and all the solutions being discussed require investment from the continent least equipped to provide it . This creates compounding pressure on countries already managing climate change alongside socioeconomic development challenges .
Dr. Fofana argued that rather than always seeking entirely new infrastructure, developing countries should leverage existing data to deliver immediate benefits - citing GIZ's work with Ecuador, where existing data was used to provide at least 60 minutes of advance flood warning . He also addressed the private sector's role directly, acknowledging that companies will only engage where there is a return on investment, and calling for the development of viable business models supported by de-risking mechanisms and blended finance to attract technology deployment to communities that need it . He noted that most target countries are in debt distress, making traditional loan-based financing an additional burden rather than a solution, and called for sovereign funds and innovative finance mechanisms . His conclusion was that bringing private sector actors, technology providers, and governments together at an early stage - to develop solutions for the future rather than retrofitting them - is essential .
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China: Standards, Policy, and International Collaboration
Ms. Qi Shuguang, Vice Deputy Engineer at China Telecommunication Technology Labs, China Academy of Information and Communication Technology, shared three points from China's experience. First, on policy foundations: China has national-level policies pushing AI and digital technology into sectors such as energy, transportation, manufacturing, and infrastructure, alongside a strategy on electric power and computing power coordination covering the whole lifecycle . Second, on industry practice: the China Academy of ICT is working with ITU on a joint project - the Series of Activities on ICT Contribution to Sustainability and Climate Action - and invited all members to contribute use cases and share experiences as part of a mutual learning process . Third, on standards: Ms. Qi emphasised that international standards are critical enablers, citing ITU Study Group 5 work on energy efficiency, climate change mitigation, and adaptation as having helped push collective progress on this important topic . She concluded by expressing China's commitment to deepening collaboration on digital sustainability .
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Closing Remarks and Overall Assessment
In his closing remarks, Mr. Marinescu thanked all speakers and noted that a consistent theme across all interventions was eagerness and commitment to working in partnership . He affirmed the session's central conclusion: digital and environmental agendas cannot be thought of separately, and convergence between them is essential .
The roundtable demonstrated a high degree of consensus across a diverse group of participants on several core principles: that digital technologies are essential tools for climate resilience and must be treated as resilience investments rather than technology agendas ; that more data alone is insufficient without governance, trust, and usability ; that the digital sector's own environmental footprint must be actively managed ; that climate data gaps are large and urgent with measurable economic returns from closing them ; that international cooperation must move from discussion to implementation ; and that digital and climate agendas must converge rather than run on parallel tracks .
Beneath this surface consensus, however, lay several substantive tensions. Prof. Demirköz's keynote implicitly challenged the session's own framing by suggesting that the emphasis on resilience-building signals an admission that mitigation goals are not being met - a concern that was not directly taken up by subsequent speakers in their interventions, even as they enthusiastically embraced resilience as a national priority . The question of whether AI and digital technologies are primarily part of the climate solution or a compounding part of the problem was framed differently by different speakers, with Demirköz foregrounding the costs and Lamanauskas and Neves foregrounding the potential . The financing architecture was identified as structurally misaligned with developing country needs - with Radwan criticising donor behaviour and Fofana pointing to private sector incentive structures - without a concrete resolution being reached. And the governance gap around large-scale satellite deployment, raised independently by both Demirköz and Salam , remained unaddressed by any other speaker, pointing to a significant area requiring urgent attention.
The session concluded with a shared call for stronger international partnerships, common standards, inclusive financing mechanisms, and a commitment to ensuring that digital climate solutions benefit all countries - particularly the most vulnerable - as the world moves towards COP31 in Antalya .
Digital infrastructure as a resilience investment, not merely a technology agenda - connectivity determines who receives warnings, whether schools stay open, and whether governments function during disasters
Arg. 1For the Philippines, digital transformation is not treated as a technology agenda but as a resilience strategy. Connectivity determines who receives early warnings before storms, whether schools remain operational, and whether governments can continue functioning when disasters strike. This reframing positions digital infrastructure as a fundamental component of national resilience.
The Philippines has established over 24,000 free public internet access points, connected 95% of public schools, built over 3,000 kilometres of national fibre, and launched an e-government super app with more than 55 million downloads offering over 260 public services . The country is also building a National Emergency Communications Plan (NACP) to ensure connectivity does not disappear during disasters .
on: Digital technologies and connectivity are fundamental tools for climate resilience, not merely technology agendas
on: Adaptation versus mitigation: whether prioritising resilience-building represents a pragmatic necessity or a troubling concession of defeat on climate goals
Data helps only when it is timely, trusted, and usable by the people who must act on it — this is fundamentally a governance problem, not a hardware problem
Arg. 2The speaker argues that having more technology or more data does not automatically translate into better resilience or better decisions. The critical factor is whether data is timely, trusted, and actionable by those who need it. This makes data governance — not hardware procurement — the central challenge.
The speaker explicitly stated that more technology does not automatically mean more resilience and more data does not automatically mean better decisions, emphasising that data helps only if it is timely, trusted, and usable by the people who must act on it, and that this is a governance problem, not a hardware problem .
on: More data alone does not create resilience — data must be timely, trusted, usable, and translated into decisions through sound governance
International cooperation must help countries deploy digital climate solutions rather than merely discuss them, moving from commitments to implementation through shared standards, financing, and capacity building
Arg. 3The speaker calls for international cooperation to go beyond discussion and actually support the deployment of digital climate solutions. She acknowledges that the Philippines still has gaps, including remote areas with uneven local capacity, siloed climate data, and insufficient financing. The world must step in to help bridge these gaps.
The speaker noted that digital and climate data sits in silos, financing does not match the scale of risk, and that international cooperation must help countries deploy solutions rather than merely discuss them . She invoked the Filipino concept of bayanihan - neighbours lifting each other up - to illustrate the principle that governments, communities, industries, and partners must all carry the digital climate resilience agenda together so no community is left behind .
on: Digital and climate agendas must converge and be integrated in planning, budgeting, standards, and governance rather than running on parallel tracks
The Philippines' concept of bayanihan — neighbours lifting each other up — reflects the principle that governments, communities, industries, and partners must all carry the digital climate resilience agenda together so no community is left behind
Arg. 4The speaker draws on the Filipino cultural concept of bayanihan, rooted in the word for heroism, to articulate a vision of collective responsibility in building a digital climate resilient future. This principle holds that no single actor — government, community, industry, or partner — can carry the agenda alone. It serves as a call for inclusive, collaborative action.
The speaker explained that bayanihan stems from the root word for heroism and means neighbours lifting each other up, applying this to a digital climate resilience future where government, communities, industries, and partners all carry the agenda together so that no community is left behind . She also referenced the national commitment to the theme 'no Filipino left behind, no Filipino left offline' .
Information is being lost on Earth just as it may be lost in the universe — 150 species are lost daily, each carrying up to 1.5 gigabytes of genetic data, and 72% of the world's oceans remain largely unexplored
Arg. 1Drawing on her background as a physicist, the speaker draws a parallel between the unresolved question of information loss in black holes and the ongoing loss of biological information on Earth. She argues that species extinction represents a profound and irreversible loss of information encoded at the genetic level. The largely unexplored oceans compound this problem, as information is being lost before it can even be discovered.
The speaker noted that 150 species are lost each day, with each species carrying 1.5 gigabytes of data at the DNA level . She also highlighted that 72% of the world is underwater and mostly unexplored, meaning information is being lost before it can even be discovered . She drew an analogy with the physics debate over whether black holes destroy or preserve information beyond the event horizon .
Moving AI computing to space introduces new risks, including radiation altering AI model weights unpredictably, carbon emissions from launches, and metal oxide pollution from e-waste re-entering the atmosphere
Arg. 2The speaker critically examines the proposed solution of relocating AI computing infrastructure to space, where solar panels have higher efficiency than on Earth. She identifies several serious risks: space radiation can randomly alter the weights stored in AI models, potentially causing catastrophic outcomes; launching data centres into space generates significant carbon emissions; and when hardware reaches end of life and re-enters the atmosphere, it produces metal oxide pollution.
The speaker noted that radiation in space can change AI model weights without detection, potentially causing catastrophic outcomes . She questioned how much carbon would be emitted to put data centres into space and raised concerns about metal oxides entering the atmosphere from e-waste re-entry . She also referenced a company planning 1.2 million satellites valued at a $1.6 trillion IPO .
The prioritisation of resilience-building and adaptation over mitigation reflects a troubling acknowledgement that climate goals are not being met, compounded by additional heat loads from AI computing worldwide
Arg. 3The speaker expresses concern that the growing emphasis on resilience and adaptation signals a collective acknowledgement that mitigation targets are no longer achievable. She finds this troubling as a physicist, particularly because the additional heat loads generated by AI computing around the world are not being adequately accounted for in climate discussions. This represents a compounding problem that is not yet being honestly confronted.
The speaker stated that the use of the word 'resilience building' reflects a prioritisation of adaptation over everything else because 'we are aware that we cannot meet the goal', which she described as sad . She also noted that additional heat loads from AI compute around the world are not being adequately addressed, and expressed hope that this would be discussed at COP in Turkey .
on: The environmental footprint of digital technologies — including energy consumption, e-waste, and carbon emissions — must be actively managed alongside their deployment
on: Whether AI and digital technologies are primarily part of the climate solution or a compounding part of the problem
The UN AI Scientific Panel has committed to producing thematic briefs on quantum and space computing to fill knowledge gaps in the governance of emerging technologies
Arg. 4The speaker references the UN AI Scientific Panel's commitment to producing thematic briefs on specific emerging technology areas, including quantum computing and space computing. These briefs are intended to address acknowledged gaps in current knowledge and governance frameworks. This represents a concrete step towards more comprehensive multilateral governance of new and emerging technologies.
The speaker noted that the UN AI Panel report promised thematic briefs on quantum and space computing to fill gaps in knowledge . She also announced a panel the following day at 2:30 on AI compute in space, with SpaceX participating, where she planned to ask about carbon emissions from putting data centres into space .
Closing the essential weather and climate data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific, with better forecasts potentially producing US $5 billion in annual direct benefits and US $160 billion in wider economic gains
Arg. 1The speaker makes a strong economic and developmental case for investing in climate data infrastructure. Better data enables earlier risk anticipation, more targeted use of limited resources, and faster action on the ground. The figures cited from the World Meteorological Organization and World Bank demonstrate that closing the climate data gap is not only a development priority but a smart economic investment.
The World Meteorological Organization estimates that closing the essential weather and climate data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific . According to World Bank data, better forecasts and their practical application could produce US $5 billion in annual direct benefits and US $160 billion in wider economic gains .
on: Climate data gaps are large and urgent, and closing them requires investment that delivers measurable economic and societal returns
Community-based weather stations and low-cost environmental sensors, developed with local partners including fishermen who helped identify ideal locations, produce locally trusted data that directly informs livelihoods
Arg. 2The speaker argues that investing in climate data is not only an economic priority but also a tool for empowering local communities. Through GIZ's Fair Forward AI for All initiative, community-based weather stations were set up with resident involvement, producing data that people trust and use because it was created with them. This locally relevant data directly supports the livelihoods of fishermen and other community members.
Through the Fair Forward AI for All initiative, GIZ and local partners set up 53 community-based weather stations and low-cost environmental sensors across 10 provinces, with residents actively involved in their development . Fishermen helped identify ideal locations for the weather stations , and the resulting data now allows fishermen to decide when to go out to sea, prepare for storms, and adjust their livelihoods .
on: More data alone does not create resilience — data must be timely, trusted, usable, and translated into decisions through sound governance
on: How to address the climate data gap: building new community-based infrastructure versus leveraging existing data
Open-source AI and data-powered climate solutions developed across Southeast Asia, Africa, and Latin America can be adapted to different local contexts and further developed by partners themselves, reducing digital dependencies
Arg. 3The speaker highlights GIZ's portfolio of more than 30 scalable open-source AI and data-powered climate solutions as a model for reducing digital dependencies in developing countries. Because these solutions are open source, they can be adapted to different local contexts and further developed by local partners without reliance on external providers. The consistent lesson across all of them is that digital technologies strengthen climate resilience when they close the gap between data and action and are built with the people who rely on them.
GIZ has developed more than 30 scalable open-source AI and data-powered climate solutions across Southeast Asia, Africa, and Latin America . As open-source solutions, they can be adapted to different local contexts and further developed by partners themselves, reducing digital dependencies . The overarching lesson is that digital technologies strengthen climate resilience when they close the gap between data and action and are built with the people who rely on them .
The global environmental data ecosystem suffers from lack of interoperability, unclear data governance principles, insufficient capacity, limited access and affordability, and absence of clear quality metrics
Arg. 1The speaker describes the findings of UNEP's Global Environmental Data Strategy, which critically examined the global environmental data ecosystem and identified several systemic issues. The most significant of these is interoperability, but the strategy also identified gaps in data governance principles, capacity, access, affordability, and quality measurement. When presented to all 193 member states, the biggest concern raised was not about the diagnosis but about the risk of adding to already overwhelming reporting obligations.
UNEP's Global Environmental Data Strategy identified the biggest issues as interoperability, lack of clear data governance principles, lack of capacity, lack of access and affordability, and absence of clear quality metrics . When presented to all 193 member states, the biggest concern was that it would add to their reporting obligations, as countries are already overwhelmed with NDCs, NPSAPs, and other annual reporting requirements .
on: Climate data gaps are large and urgent, and closing them requires investment that delivers measurable economic and societal returns
Donors tend not to fund foundational work or scalability, preferring new use cases, which leaves critical data infrastructure gaps unfilled and countries overwhelmed with reporting obligations
Arg. 2The speaker identifies a structural problem in international development financing: donors prefer to fund new, discrete use cases rather than foundational infrastructure or the scaling of proven solutions across countries. This creates a persistent gap in the data infrastructure that developing countries need to meet their reporting obligations. The result is that countries remain overwhelmed and critical systemic gaps go unfilled.
The speaker described her two 'pet peeves' with donors: they do not want to fund foundational work, only use cases, and they only want to fund new use cases rather than things that grow and scale across different countries . She noted there is 'no money in foundation' and 'no money in scalability' , and called on anyone with influence over funding to look at scaling use cases and delivering a common data infrastructure .
on: International cooperation must move beyond sharing experience to collaboration, moving from commitments to implementation
on: Whether donors and funders should prioritise foundational data infrastructure and scalability or focus on discrete use cases
A transboundary data-sharing pilot between three African countries on flood early warning preparedness demonstrated that viable use cases with clear economic and societal benefits can overcome sovereignty concerns
Arg. 3The speaker presents a concrete example of how transboundary data sharing can be made to work in practice. A GIZ-funded pilot project involving three African countries, including Uganda, focused on sharing data for flood early warning preparedness. The project demonstrated that when a use case delivers clear economic and societal benefits and provides appropriate assurances around data sovereignty, countries are willing to share data across borders.
GIZ funded a pilot project on transboundary data sharing between three African countries, including Uganda, specifically to share data on preparedness for early warnings for floods . The speaker noted that environmental catastrophes know no boundaries, making transboundary data sharing vital, and that once a viable use case with economic and societal benefits is created, sovereignty concerns can be addressed .
Digital technologies have the potential to reduce up to 20% of greenhouse gas emissions by 2050 through smarter energy systems, efficient transport, and precision agriculture
Arg. 1The speaker presents the positive potential of digital technologies as a counterbalance to their environmental costs. He argues that digital technologies, if properly deployed, can be a major tool for addressing the climate crisis rather than merely contributing to it. The 20% reduction figure by 2050 encompasses a range of applications including smarter energy systems, efficient transport, and precision agriculture.
The speaker cited statistics indicating that digital technologies could reduce 20% of greenhouse gas emissions by 2050 through enabling smarter energy systems, efficient transport, and precision agriculture . He also noted that climate monitoring already contributes an estimated $440 billion to global GDP, with a further $250 billion in annual value being utilised .
on: Digital technologies and connectivity are fundamental tools for climate resilience, not merely technology agendas
on: Whether AI and digital technologies are primarily part of the climate solution or a compounding part of the problem
The digital sector accounts for up to 4% of global gas emissions, data centre electricity consumption is set to double by 2030, e-waste will reach 2.5 million tonnes annually by 2030, and water consumption will be equivalent to that of 1.3 billion people in sub-Saharan Africa
Arg. 2The speaker presents the environmental costs of the digital sector as a serious concern that must be addressed alongside the sector's potential benefits. He outlines a set of alarming statistics about the sector's growing footprint across multiple dimensions: greenhouse gas emissions, electricity consumption, e-waste, and water use. These figures underscore the urgency of managing the digital sector's own environmental impact.
The speaker cited that the digital sector accounts for up to 4% of gas emissions, that data centre electricity consumption will probably double by 2030, that e-waste will reach 2.5 million tonnes annually by 2030, and that water consumption will be equivalent to that of 1.3 billion people in sub-Saharan Africa .
on: The environmental footprint of digital technologies — including energy consumption, e-waste, and carbon emissions — must be actively managed alongside their deployment
ITU is collecting 150 use cases of digital technologies applied to climate, with 25% integrating AI and machine learning, and is assessing how current climate pledges integrate digital solutions
Arg. 3The speaker describes ITU's ongoing work to document and assess the practical application of digital technologies to climate challenges. The collection of 150 use cases, a quarter of which integrate AI and machine learning, provides an evidence base for understanding what is already being done. The assessment of climate pledges reveals that while 90% integrate digital solutions, most do so at a superficial level, indicating significant room for deeper integration.
ITU has collected 150 use cases of how digital technologies can be used for climate, with 25% integrating AI and machine learning . An assessment of current climate pledges found that 90% integrate digital solutions, but most do so at a rather superficial level . ITU is also working with UNFCCC on platforms to integrate data and AI into measurement of NDCs .
on: Climate data gaps are large and urgent, and closing them requires investment that delivers measurable economic and societal returns
The Green Digital Action Declaration at COP29, endorsed by over 80 countries and 1,800 non-state actors, marked a significant political milestone in aligning digital and climate agendas
Arg. 4The speaker traces the evolution of the Green Digital Action initiative from its origins as an industry effort during COVID-19 to a major political milestone at COP29. The declaration, endorsed by over 80 countries and 1,800 non-state actors as a presidency initiative, represented a significant convergence of political will around integrating digital and climate agendas. The initiative has since moved from political momentum to an implementation track.
The Green Digital Action initiative began as an industry effort during COVID-19 and evolved to COP29, where a Green Digital Action Declaration was launched as a presidency initiative with over 80 countries committing and 1,800 non-state actors endorsing it . The initiative has since moved to an implementation track with the Green Digital Action Hub and the launch of the AI Climate Institute .
on: Digital and climate agendas must converge and be integrated in planning, budgeting, standards, and governance rather than running on parallel tracks
The G7 AI environmental transfer initiative, supported by ITU and partners, represents a concrete governance mechanism ready for implementation and to be brought to COP
Arg. 5The speaker references a G7 AI environmental transfer initiative as a concrete governance mechanism that ITU and its partners are ready to implement. This initiative represents a step beyond declarations and towards operational delivery, with the intention of bringing it to COP as a tangible outcome. It reflects the broader shift from ambition to implementation in the digital climate agenda.
The speaker mentioned a G7 announcement of an AI environmental transfer initiative, with ITU, the UNFCCC, and other partners ready for its implementation, which they plan to bring to COP . He invited all participants to join or continue joining this effort .
Digital transformation strengthens the ability to prepare for, respond to, and recover from climate-related risks while supporting sustainable development
Arg. 1The speaker articulates Uganda's vision of a digital climate resilient future as one in which digital transformation actively strengthens the country's capacity across the full cycle of climate risk management: preparation, response, and recovery. This vision links digital transformation directly to sustainable development goals. Connectivity is framed not merely as an economic enabler but as a component of national resilience.
The speaker stated that for Uganda, a digital climate resilient future means ensuring that digital transformation strengthens the ability to prepare for, respond to, and recover from climate-related risks while supporting sustainable development . He noted that expanding connectivity, digital services, and ICT access creates opportunities to improve resilience through better access to information, early warning communication, climate monitoring, and data-driven planning .
on: Digital technologies and connectivity are fundamental tools for climate resilience, not merely technology agendas
As connectivity, devices, and digital services expand, the environmental footprint of the ICT sector — including energy use, e-waste, and responsible infrastructure deployment — must be actively managed
Arg. 2The speaker argues that digital transformation must be environmentally responsible, not just economically beneficial. As Uganda and other countries expand their digital infrastructure, they must simultaneously manage the environmental consequences, including energy consumption, e-waste, and the broader footprint of ICT deployment. Uganda is already advancing practical work in these areas.
The speaker identified digital transformation's environmental responsibility as a third priority, noting that as connectivity, devices, and digital services expand, the environmental footprint of the ICT sector - including energy use, e-waste, equipment lifecycle management, and responsible infrastructure deployment - must be managed . Uganda is already implementing ICT waste management systems, sustainable digital inclusion, sector environmental and health safety reporting, and planned work on the communication sector's energy and carbon footprint .
on: The environmental footprint of digital technologies — including energy consumption, e-waste, and carbon emissions — must be actively managed alongside their deployment
African and developing-country engineers often lack the capacity to conduct reliable environmental impact assessments of new ICT deployments such as low Earth orbit satellites, and need technical support, training, and financing
Arg. 3The speaker raises a critical capacity gap: as new ICT technologies such as low Earth orbit satellites are deployed in Africa and other developing regions, local engineers often lack the expertise to assess their environmental impacts. This creates a situation where countries are subject to the effects of technologies they cannot independently evaluate. The speaker calls for technical support, training, and financing to address this gap.
The speaker questioned how many engineers in Africa have the capacity and competence to conduct reliable environmental impact assessments of new ICT deployments such as low Earth orbit satellites, and whether credible reports exist on their effects on weather and people . He called for support - both technical and in the form of training and financing - to help minimise the potential environmental degradation resulting from ICT deployments .
on: International cooperation must move beyond sharing experience to collaboration, moving from commitments to implementation
Building a sector-wide greenhouse gas baseline covering Scope 1, 2, and relevant Scope 3 emissions is essential to give policymakers and regulators a clearer evidence base for planning and decision-making
Arg. 1The speaker describes Malaysia's effort to build a comprehensive greenhouse gas baseline across the communications and multimedia sector. This baseline covers Scope 1, 2, and relevant Scope 3 emissions across major licensees and is being aligned with emerging international benchmarks through participation in the ITU I2X Group pilot initiative. The goal is to provide policymakers, regulators, and industry with a clearer evidence base for infrastructure planning and prioritisation.
Malaysia is building a sector-wide greenhouse gas baseline covering Scope 1, Scope 2, and relevant Scope 3 emissions across major licensees . Malaysia is also contributing to the ITU I2X Group on Telecommunications and ICT Indicators pilot initiative, aligning national data with emerging international benchmarks to give policymakers, regulators, and industry a clearer evidence base .
on: Climate data gaps are large and urgent, and closing them requires investment that delivers measurable economic and societal returns
Malaysia's six-way multi-operator core network sharing agreement — the first of its kind globally — demonstrates how infrastructure sharing can achieve energy efficiency improvements of 20–40%, carbon footprint reductions of 10–20%, and e-waste reductions of 15–25%
Arg. 2The speaker presents Malaysia's multi-operator core network (MOKEN) sharing agreement as a concrete example of how infrastructure sharing can deliver significant environmental benefits. As the first country globally to implement a six-way MOKEN sharing agreement, Malaysia demonstrates that coordinated network planning and sharing between operators can simultaneously improve energy efficiency, reduce carbon emissions, and cut e-waste. This model offers a replicable approach for other countries.
Malaysia became the first country globally to have its mobile network operators sign a landmark six-way MOKEN sharing agreement, supported by MCMC's guidelines on network and infrastructure sharing . The sharing model enables energy efficiency improvements of 20-40%, carbon footprint reductions of 10-20%, and e-waste reductions of 15-25% .
on: International cooperation must move beyond sharing experience to collaboration, moving from commitments to implementation
Digital solutions must move beyond pilots to become scalable, sustainable tools that help cities manage heat, flooding, and water stress, and help governments allocate resources faster
Arg. 1The speaker argues that the key challenge for digital climate solutions is not whether they work in principle but how to scale them responsibly beyond pilot projects. He frames the question in terms of concrete outcomes: whether digital solutions help cities manage specific climate stresses, help companies understand supply chain risk, and help governments allocate resources more efficiently. The focus is on moving from demonstration to systemic deployment.
The speaker stated that GeSI focuses on how digital solutions can move beyond pilots and become scalable, sustainable tools for sustainability outcomes . He posed concrete questions about whether digital solutions help cities manage heat, flooding, and water stress, help companies understand and reduce supply chain risk, and help governments allocate resources faster and more fairly .
on: Digital and climate agendas must converge and be integrated in planning, budgeting, standards, and governance rather than running on parallel tracks
on: Whether AI and digital technologies are primarily part of the climate solution or a compounding part of the problem
Digital resilience must itself be sustainable — scaling digital climate solutions without managing their own footprint risks creating new environmental pressures while trying to solve existing ones
Arg. 2The speaker makes the point that digital climate solutions are not inherently green and that their own environmental footprint must be managed. AI, connectivity, and data-driven systems all rely on data centres, networks, energy, water, hardware, and materials. Scaling these solutions without addressing their own impact risks compounding the very problems they are meant to solve.
The speaker noted that AI, connectivity, and data-driven systems rely on data centres, networks, energy, water, hardware, and materials, and that scaling digital climate solutions without managing their own footprint risks creating new pressures while trying to solve existing ones . He emphasised the need to plan computing infrastructure together with energy systems, water stewardship, and local resilience .
on: The environmental footprint of digital technologies — including energy consumption, e-waste, and carbon emissions — must be actively managed alongside their deployment
GeSI, representing digital companies with a combined market value of US $6 trillion, emphasises that international cooperation must create common frameworks and ensure digital climate solutions are available to communities most exposed to climate risk, not only advanced markets
Arg. 3The speaker positions GeSI as a major private sector voice in the digital climate resilience agenda, representing companies with a combined market value of $6 trillion. He argues that international cooperation has a concrete role to play in creating common frameworks, sharing implementation experience, and supporting capacity building. Critically, he stresses that digital climate solutions must be accessible to the communities most exposed to climate risk, not only to the most advanced markets.
The speaker noted that GeSI brings together the biggest digital companies in the world with a combined market value of $6 trillion . He argued that international cooperation can help create common frameworks, share implementation experience, support capacity building, and ensure that digital climate solutions are not only available to the most advanced markets but also to communities most exposed to climate risk . He also noted that GeSI was born at ITU 25 years ago as a UNEP initiative .
on: International cooperation must move beyond sharing experience to collaboration, moving from commitments to implementation
Digital tools such as AI-driven resource management and advanced early warning systems serve as the central nervous system of climate adaptation efforts
Arg. 1The speaker frames digital technologies as the central nervous system of Turkey's climate adaptation strategy, not merely as supplementary tools. She argues that the intersection of digital transformation and climate change is a fundamental necessity rather than a policy choice. However, she also acknowledges the challenge of ensuring that digital transformation explicitly supports climate resilience without creating trade-offs.
The speaker stated that Turkey sees digital technologies - from advanced early warning systems to AI-driven resource management - as the central nervous system of its climate adaptation efforts . She cited Turkey's experience following the 2023 earthquakes, when satellite data, AI-supported disaster modelling, and real-time sensor networks were integrated into the disaster management system . Meteorological and hydrological monitoring networks are increasingly interoperable with early warning platforms, allowing authorities to anticipate disasters rather than simply react .
on: Digital technologies and connectivity are fundamental tools for climate resilience, not merely technology agendas
on: Adaptation versus mitigation: whether prioritising resilience-building represents a pragmatic necessity or a troubling concession of defeat on climate goals
COP31 in Antalya presents a pivotal opportunity to align the global digital agenda with climate action at scale, including a dedicated digitalisation thematic day, high-level roundtables on AI and digital technologies, and implementation-oriented sessions on finance and capacity building
Arg. 2The speaker presents COP31, to be hosted by Turkey in Antalya in November 2025, as a pivotal milestone for aligning the global digital agenda with climate action. She outlines a concrete programme of activities planned for the event, including a dedicated digitalisation thematic day, high-level roundtables on AI and digital technologies, and implementation-oriented sessions on finance, capacity building, and partnerships. She invites all stakeholders to join.
Turkey is hosting COP31 in Antalya from 9-20 November 2025 . Planned activities include a dedicated digitalisation thematic day, an administrative dialogue, high-level roundtables on AI and digital technologies' contribution to climate action, implementation-oriented sessions on finance, capacity building, and partnerships, and ecosystem discussions with the private sector and technology companies . The speaker invited all stakeholders to join in Antalya to forge actionable partnerships for a digital climate resilient future .
on: Digital and climate agendas must converge and be integrated in planning, budgeting, standards, and governance rather than running on parallel tracks
Africa has 18 times fewer meteorological stations than the US and EU, and existing data must be leveraged to help developing countries catch up rather than waiting for entirely new infrastructure
Arg. 1The speaker highlights the stark disparity in meteorological infrastructure between Africa and developed regions, arguing that this gap cannot be closed quickly through new infrastructure alone. Instead, he advocates for leveraging existing data to deliver practical benefits to developing countries now. The focus should be on what can be done with current data rather than waiting for entirely new systems.
The speaker noted that Africa has 18 times fewer meteorological stations than the US and EU . He argued that using existing data is a fundamental approach, citing GIZ's work with Ecuador to use existing data to provide at least 60 minutes of advance warning for floods . He emphasised that it is not always about having new additional infrastructure but about what can be done with current data to help countries catch up .
on: Climate data gaps are large and urgent, and closing them requires investment that delivers measurable economic and societal returns
on: How to address the climate data gap: building new community-based infrastructure versus leveraging existing data
Using existing data to provide at least 60 minutes of advance warning for floods, as demonstrated in Ecuador, shows that catching up does not always require entirely new infrastructure
Arg. 2The speaker uses the example of GIZ's work with Ecuador to illustrate that meaningful climate resilience improvements can be achieved by better utilising existing data rather than building entirely new infrastructure. Providing 60 minutes of advance flood warning using existing data is a practical, cost-effective approach that can help developing countries improve their resilience without waiting for large-scale infrastructure investments.
The speaker described GIZ's work with Ecuador on an early warning system using existing data that provides at least 60 minutes of advance warning for floods . He used this as evidence that catching up does not always require entirely new infrastructure, but rather better use of what already exists .
Private sector involvement requires viable business models with return on investment, supported by de-risking mechanisms and blended finance, to ensure technology deployment reaches communities that need it
Arg. 3The speaker argues that private sector engagement in digital climate solutions will only materialise if there is a clear return on investment. He calls for the development of business models that make private sector participation financially viable, supported by de-risking mechanisms and blended finance. Without these, private capital will not flow to the communities and countries that most need these technologies.
The speaker stated that the private sector will only be involved if there is a return on investment and called for business models that allow the private sector to see profit while also scaling solutions . He noted that most countries seeking these changes are in debt distress, making loans an additional burden, and called for sovereign funds and innovative finance mechanisms to help them move in this direction .
on: Whether donors and funders should prioritise foundational data infrastructure and scalability or focus on discrete use cases
National-level policies pushing AI and digital technology into sectors such as energy, transportation, manufacturing, and infrastructure are essential to drive cross-industry data flows
Arg. 1The speaker describes China's national-level policy framework as a foundation for driving the integration of AI and digital technologies across key economic sectors. She acknowledges that enabling cross-industry data flows is challenging but essential. China's strategy on electric power and computing power coordination, covering the full lifecycle, is cited as an example of how policy can drive systemic change.
The speaker referenced China's State Council opinions on accelerating comprehensive green transformation of economic and social development, which push AI and digital technology into sectors such as energy, transportation, manufacturing, and infrastructure . She also noted China's strategy on electric power and computing power coordination, which covers the whole lifecycle from beginning to end .
International standards — such as ITU Study Group 5 standards on energy efficiency, climate change mitigation, and adaptation — serve as critical enablers for pushing collective progress on digital sustainability
Arg. 2The speaker argues that international standards are a critical enabler for advancing digital sustainability at a global level. She highlights China's work with global partners to develop international standards through ITU, particularly in Study Group 5 on energy efficiency, climate change mitigation, and adaptation. Standards provide a common framework that allows countries and industries to align their efforts and push collective progress.
The speaker noted that China works with global partners on international standards in ITU, including Study Group 5 standards on energy efficiency, climate change mitigation, and adaptation . She also referenced a joint project with ITU called the Series of Activities on ICT Contribution to Sustainability and Climate Action, which involves collectively stock-taking use cases and invites members to contribute their experiences .
Digital tools, data, connectivity, artificial intelligence, and partnership are increasingly central to anticipating climate risks, informing decisions, and supporting implementation on the ground
Arg. 1The chair opens the session by framing the growing importance of digital technologies in responding to climate impacts. He argues that as climate impacts become more frequent and complex, these tools are not peripheral but central to how societies anticipate risks and act on them. This sets the thematic context for the entire roundtable discussion.
The chair stated that as climate impacts become more frequent and complex, digital tools, data, connectivity, artificial intelligence, and partnership are increasingly central to how we anticipate risks, inform decisions, and support implementation on the ground .
on: Digital technologies and connectivity are fundamental tools for climate resilience, not merely technology agendas
The green digital action agenda must evolve to respond to resilience needs through collaboration across governments, UN entities, industry, and partners to move from ambition to delivery
Arg. 2The chair frames the session's purpose as exploring how the green digital action agenda can be adapted to meet resilience needs. He emphasises that progress requires collaboration across a wide range of actors and that the critical challenge is translating ambition into concrete delivery. This positions the roundtable as an implementation-focused dialogue rather than a purely aspirational one.
The chair stated that the session would explore how the green digital action agenda is evolving to respond to resilience needs and how collaboration across governments, UN entities, industry, and partners can help move from ambition to delivery .
The first two interventions from the Philippines and Malaysia both called for international cooperation, not only for sharing experience but for working together towards a better digital future
Arg. 3The chair observes and affirms the convergence of the first two speakers around the theme of international cooperation. He notes that this cooperation is framed not merely as an exchange of experiences but as collaboration towards a shared digital future. This observation reinforces the session's emphasis on partnership as a core mechanism for progress.
After the interventions from the Philippines and Malaysia, the chair noted that it was very encouraging that the first two interventions were calling for cooperation, not only for sharing experience but for working together for a better digital future .
on: International cooperation must move beyond sharing experience to collaboration, moving from commitments to implementation
Digital and environmental agendas cannot be treated separately, and convergence between them is essential
Arg. 4In his closing remarks, the chair draws together the themes of the roundtable by asserting that digital and environmental agendas must converge rather than operate in parallel. He affirms that the session has demonstrated broad commitment to partnership and that treating digital and environmental issues separately is no longer viable. This serves as a synthesising conclusion to the discussion.
In his closing remarks, the chair stated that he had heard everybody is eager and committed to working in partnership, and emphasised that convergence is necessary, noting that we cannot think of digital separately from environment .
on: Digital and climate agendas must converge and be integrated in planning, budgeting, standards, and governance rather than running on parallel tracks
Session Knowledge Graph
Speakers · Topics · Arguments · Relationships
All speakers converged on the view that digital technologies are not peripheral but central to climate resilience. The Philippines explicitly stated that digital transformation is treated as a resilience strategy rather than a technology agenda , with connectivity determining who receives early warnings before storms . Uganda framed connectivity as part of national resilience . Turkey described digital technologies as the central nervous system of its climate adaptation efforts . Malaysia demonstrated concrete environmental benefits through infrastructure sharing . ITU cited the potential for digital technologies to reduce 20% of greenhouse gas emissions by 2050 . The chair opened the session by affirming that digital tools are increasingly central to anticipating risks and informing decisions .
Digital infrastructure as a resilience investment, not merely a technology agenda - connectivity determines who receives warnings, whether schools stay open, and whether governments function during disasters
Malaysia's six-way multi-operator core network sharing agreement — the first of its kind globally — demonstrates how infrastructure sharing can achieve energy efficiency improvements of 20–40%, carbon footprint reductions of 10–20%, and e-waste reductions of 15–25%
Digital transformation strengthens the ability to prepare for, respond to, and recover from climate-related risks while supporting sustainable development
Digital tools such as AI-driven resource management and advanced early warning systems serve as the central nervous system of climate adaptation efforts
Digital technologies have the potential to reduce up to 20% of greenhouse gas emissions by 2050 through smarter energy systems, efficient transport, and precision agriculture
Digital tools, data, connectivity, artificial intelligence, and partnership are increasingly central to anticipating climate risks, informing decisions, and supporting implementation on the ground
Multiple speakers agreed that the challenge is not simply producing more data but ensuring it is actionable. The Philippines stated explicitly that more data does not automatically mean better decisions and that this is a governance problem, not a hardware problem . GIZ demonstrated this through community-based weather stations where locally trusted data directly informed fishermen's decisions . UNEP's Global Environmental Data Strategy identified interoperability, unclear governance principles, and lack of quality metrics as the core systemic issues . GeSI reinforced that data only creates value when it is trusted, interoperable, accessible, and translated into planning and operational decisions .
Data helps only when it is timely, trusted, and usable by the people who must act on it — this is fundamentally a governance problem, not a hardware problem
Community-based weather stations and low-cost environmental sensors, developed with local partners including fishermen who helped identify ideal locations, produce locally trusted data that directly informs livelihoods
The global environmental data ecosystem suffers from lack of interoperability, unclear data governance principles, insufficient capacity, limited access and affordability, and absence of clear quality metrics
Digital solutions must move beyond pilots to become scalable, sustainable tools that help cities manage heat, flooding, and water stress, and help governments allocate resources faster
Speakers across government, academia, and the private sector agreed that the digital sector's own environmental footprint is a serious concern. Prof. Demirköz expressed concern about additional heat loads from AI computing and the failure to meet climate goals . ITU cited alarming statistics: up to 4% of gas emissions, data centre electricity consumption doubling by 2030, 2.5 million tonnes of e-waste annually, and water consumption equivalent to 1.3 billion people in sub-Saharan Africa . Uganda identified energy use, e-waste, and responsible infrastructure deployment as priorities to manage . GeSI warned that scaling digital climate solutions without managing their own footprint risks creating new pressures . Malaysia demonstrated practical mitigation through its MOKEN sharing agreement achieving 10-20% carbon footprint reductions .
The prioritisation of resilience-building and adaptation over mitigation reflects a troubling acknowledgement that climate goals are not being met, compounded by additional heat loads from AI computing worldwide
The digital sector accounts for up to 4% of global gas emissions, data centre electricity consumption is set to double by 2030, e-waste will reach 2.5 million tonnes annually by 2030, and water consumption will be equivalent to that of 1.3 billion people in sub-Saharan Africa
As connectivity, devices, and digital services expand, the environmental footprint of the ICT sector — including energy use, e-waste, and responsible infrastructure deployment — must be actively managed
Digital resilience must itself be sustainable — scaling digital climate solutions without managing their own footprint risks creating new environmental pressures while trying to solve existing ones
Malaysia's six-way multi-operator core network sharing agreement — the first of its kind globally — demonstrates how infrastructure sharing can achieve energy efficiency improvements of 20–40%, carbon footprint reductions of 10–20%, and e-waste reductions of 15–25%
There was strong consensus that international cooperation must shift from discussion to delivery. The Philippines called for international cooperation to help countries deploy solutions rather than merely discuss them . Malaysia expressed commitment to working with ITU and the international community to co-develop solutions and scale approaches . Uganda called for support in technical capacity, training, and financing to assess and manage the impacts of new ICT deployments . UNEP identified structural financing gaps, noting donors prefer new use cases over foundational work or scalability . GeSI argued that international cooperation must ensure digital climate solutions reach communities most exposed to climate risk, not only advanced markets . The chair affirmed this convergence after the first two interventions .
International cooperation must help countries deploy digital climate solutions rather than merely discuss them, moving from commitments to implementation through shared standards, financing, and capacity building
Malaysia's six-way multi-operator core network sharing agreement — the first of its kind globally — demonstrates how infrastructure sharing can achieve energy efficiency improvements of 20–40%, carbon footprint reductions of 10–20%, and e-waste reductions of 15–25%
African and developing-country engineers often lack the capacity to conduct reliable environmental impact assessments of new ICT deployments such as low Earth orbit satellites, and need technical support, training, and financing
Donors tend not to fund foundational work or scalability, preferring new use cases, which leaves critical data infrastructure gaps unfilled and countries overwhelmed with reporting obligations
GeSI, representing digital companies with a combined market value of US $6 trillion, emphasises that international cooperation must create common frameworks and ensure digital climate solutions are available to communities most exposed to climate risk, not only advanced markets
The first two interventions from the Philippines and Malaysia both called for international cooperation, not only for sharing experience but for working together towards a better digital future
Multiple speakers identified climate data gaps as a critical and urgent problem. GIZ cited WMO estimates that closing the data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific, with World Bank data suggesting $5 billion in annual direct benefits and $160 billion in wider economic gains . UNEP's Global Environmental Data Strategy identified interoperability, governance, capacity, and quality metrics as systemic gaps . ITU noted that while 90% of climate pledges integrate digital solutions, most do so superficially . GGGI highlighted that Africa has 18 times fewer meteorological stations than the US and EU . Malaysia is building a sector-wide greenhouse gas baseline to provide a clearer evidence base for policymakers .
Closing the essential weather and climate data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific, with better forecasts potentially producing US $5 billion in annual direct benefits and US $160 billion in wider economic gains
The global environmental data ecosystem suffers from lack of interoperability, unclear data governance principles, insufficient capacity, limited access and affordability, and absence of clear quality metrics
ITU is collecting 150 use cases of digital technologies applied to climate, with 25% integrating AI and machine learning, and is assessing how current climate pledges integrate digital solutions
Africa has 18 times fewer meteorological stations than the US and EU, and existing data must be leveraged to help developing countries catch up rather than waiting for entirely new infrastructure
Building a sector-wide greenhouse gas baseline covering Scope 1, 2, and relevant Scope 3 emissions is essential to give policymakers and regulators a clearer evidence base for planning and decision-making
Speakers consistently argued that digital and climate agendas must be integrated rather than treated as separate tracks. The Philippines stated that digital transformation and climate resilience can no longer run on parallel tracks and must meet in planning, budget, standards, and security . ITU described the Green Digital Action Declaration at COP29 as a political milestone aligning these agendas, with over 80 countries and 1,800 non-state actors endorsing it . GeSI called for digital policy, climate policy, energy policy, and infrastructure planning to converge . Turkey framed COP31 as a pivotal milestone to align the global digital agenda with climate action at scale . The chair concluded by affirming that digital and environmental issues cannot be thought of separately .
International cooperation must help countries deploy digital climate solutions rather than merely discuss them, moving from commitments to implementation through shared standards, financing, and capacity building
The Green Digital Action Declaration at COP29, endorsed by over 80 countries and 1,800 non-state actors, marked a significant political milestone in aligning digital and climate agendas
Digital solutions must move beyond pilots to become scalable, sustainable tools that help cities manage heat, flooding, and water stress, and help governments allocate resources faster
COP31 in Antalya presents a pivotal opportunity to align the global digital agenda with climate action at scale, including a dedicated digitalisation thematic day, high-level roundtables on AI and digital technologies, and implementation-oriented sessions on finance and capacity building
Digital and environmental agendas cannot be treated separately, and convergence between them is essential
Both GIZ and UNEP shared a viewpoint grounded in practical, pilot-based approaches to closing climate data gaps in developing countries, particularly in Africa. GIZ described setting up 53 community-based weather stations across 10 provinces with resident involvement, producing locally trusted data that fishermen use to decide when to go to sea . UNEP described a GIZ-funded transboundary data-sharing pilot between three African countries, including Uganda, on flood early warning preparedness, demonstrating that viable use cases with clear benefits can overcome data sovereignty concerns . Both speakers also identified the same structural financing problem: donors prefer new use cases over foundational infrastructure or scalability , and both called for investment in common data infrastructure that empowers communities . Representatives from the Philippines, Uganda, and the Global Green Growth Institute shared a viewpoint emphasising that digital infrastructure must serve as a resilience tool for developing and vulnerable countries, and that existing resources must be better leveraged rather than waiting for entirely new systems. The Philippines described digital infrastructure as a resilience investment determining who receives warnings and whether governments function during disasters . Uganda framed connectivity as part of national resilience and identified digital transformation as a means to prepare for, respond to, and recover from climate risks . GGGI highlighted the stark disparity — Africa has 18 times fewer meteorological stations than the US and EU — and argued for using existing data to provide practical benefits such as 60 minutes of advance flood warning in Ecuador . Prof. Demirköz, GeSI, and ITU shared a viewpoint that the digital sector's own environmental footprint is a serious and growing problem that must be confronted honestly. Prof. Demirköz raised concerns about additional heat loads from AI computing worldwide and the risks of proposed solutions such as space-based data centres, including carbon emissions from launches and metal oxide pollution from e-waste re-entry . ITU quantified the sector's footprint with alarming statistics on emissions, electricity consumption, e-waste, and water use . GeSI warned that scaling digital climate solutions without managing their own footprint risks creating new environmental pressures while trying to solve existing ones, and called for planning computing infrastructure together with energy systems and water stewardship . Malaysia and China shared a viewpoint emphasising the importance of measurement, standards, and evidence-based policy as foundational enablers for digital sustainability. Malaysia is building a sector-wide greenhouse gas baseline covering Scope 1, 2, and relevant Scope 3 emissions, aligned with emerging international benchmarks through the ITU I2X Group pilot initiative . China highlighted the importance of international standards through ITU Study Group 5 on energy efficiency, climate change mitigation, and adaptation, and described a joint project with ITU on ICT contribution to sustainability and climate action . Both speakers positioned standards and measurement not as bureaucratic exercises but as practical tools for enabling better decisions and collective progress. GIZ and GGGI shared a viewpoint that practical, locally adapted solutions using existing or low-cost resources are more effective and accessible for developing countries than waiting for entirely new infrastructure. GIZ described more than 30 scalable open-source AI and data-powered climate solutions across Southeast Asia, Africa, and Latin America that can be adapted to local contexts and further developed by partners themselves, reducing digital dependencies . GGGI cited the Ecuador example where existing data was used to provide 60 minutes of advance flood warning, arguing that catching up does not always require entirely new infrastructure . Both speakers emphasised that the lesson is consistent: solutions built with and for the people who rely on them are more effective . ITU and Turkey shared a viewpoint that COP processes represent critical political milestones for aligning digital and climate agendas, and that COP31 in Antalya is a pivotal opportunity to move from political momentum to implementation. ITU described the evolution from COP29's Green Digital Action Declaration — endorsed by over 80 countries and 1,800 non-state actors — to an implementation track with the Green Digital Action Hub and AI Climate Institute . Turkey outlined a concrete programme for COP31, including a dedicated digitalisation thematic day, high-level roundtables on AI and digital technologies, and implementation-oriented sessions on finance and capacity building . Both speakers explicitly invited all stakeholders to join this effort .
It was unexpected that a physicist from the UN AI Scientific Panel and the ITU Deputy Secretary-General would both implicitly or explicitly acknowledge that the growing emphasis on resilience and adaptation signals a failure to meet mitigation targets. Prof. Demirköz stated directly that the use of the word 'resilience building' reflects a prioritisation of adaptation over everything else 'because we are aware that we cannot meet the goal', which she described as sad . ITU's presentation of alarming statistics about the digital sector's footprint - including data centre electricity consumption doubling by 2030 and 2.5 million tonnes of e-waste annually - implicitly reinforced this concern by highlighting how the digital sector itself is compounding the problem. This candid acknowledgement of failure to meet climate goals was unexpected in a forum typically oriented towards showcasing progress and solutions.
It was unexpected that GeSI, representing the world's largest digital companies with a combined market value of $6 trillion , would align so closely with developing country representatives on the principle that digital climate solutions must be accessible to the most vulnerable communities, not only advanced markets. GeSI explicitly stated that international cooperation must ensure digital climate solutions are not only available to the most advanced markets but also to communities most exposed to climate risk . This aligned with Uganda's call for technical support, training, and financing to assess the impacts of new ICT deployments , GGGI's emphasis on the 18-fold disparity in meteorological stations between Africa and developed regions , and the Philippines' invocation of bayanihan as a principle of collective responsibility ensuring no community is left behind . The convergence of a major private sector trade association with developing country governments on equity and inclusion was notably strong.
It was unexpected that a physicist from the UN AI Scientific Panel and the chief executive of a major private sector trade association would converge on the same critical concern: that proposed technological solutions to climate and digital sustainability challenges may themselves create new environmental problems. Prof. Demirköz specifically examined the proposal to move AI computing to space, identifying risks including radiation altering AI model weights, carbon emissions from launches, and metal oxide pollution from e-waste re-entering the atmosphere . GeSI, from a private sector perspective, warned more broadly that scaling digital climate solutions without managing their own footprint risks creating new pressures while trying to solve existing ones . This shared scepticism about technological solutionism - from both a scientific and a private sector voice - was unexpected and notable.
It was unexpected that both UNEP and GGGI would so candidly identify structural failures in the international financing ecosystem as a core barrier to progress. UNEP's Chief Digital Officer described her two 'pet peeves' with donors - that they do not fund foundational work, only use cases, and only new use cases rather than things that scale - and noted there is 'no money in foundation' and 'no money in scalability' . GGGI similarly identified that most countries seeking these changes are in debt distress, making loans an additional burden, and called for sovereign funds and innovative finance mechanisms . Both speakers converged on the view that the current financing architecture is structurally misaligned with the needs of developing countries, which was a notably frank critique in a forum typically oriented towards showcasing cooperation and progress.
The roundtable demonstrated a high level of consensus across a diverse group of speakers - including government ministers from the Philippines, Malaysia, Uganda, and Turkey; UN agencies (ITU, UNEP, GIZ); a private sector trade association (GeSI); an intergovernmental organisation (GGGI); a Chinese technical standards body; and a physicist from the UN AI Scientific Panel. The main areas of agreement were: (1) digital technologies are essential tools for climate resilience and must be treated as resilience investments rather than technology agendas ; (2) more data alone is insufficient - governance, trust, and usability are the critical factors ; (3) the digital sector's own environmental footprint must be actively managed ; (4) climate data gaps are large and urgent, with measurable economic returns from closing them ; (5) international cooperation must move from discussion to implementation ; and (6) digital and climate agendas must converge rather than run on parallel tracks . Unexpected areas of consensus included candid acknowledgements that climate mitigation goals are not being met , that proposed technological solutions may create new environmental problems , that the financing architecture is structurally misaligned with developing country needs , and that the private sector and developing countries share a commitment to ensuring digital climate solutions reach the most vulnerable communities .
Prof. Demirköz expressed explicit sadness that the word 'resilience building' is being used because 'we are prioritising adaptation over everything else because we are aware that we cannot meet the goal' . She found it troubling that additional heat loads from AI computing are not being confronted. By contrast, H.E. Sison framed resilience as a lived necessity for the Philippines - 'resilience is no longer built only from concrete and steel, it is also built from connectivity' - and Ms. Kandemir described resilience-building as 'at the core of our national strategies' , treating adaptation as a legitimate and urgent priority rather than a concession of failure. The disagreement reflects a fundamental tension between those who see adaptation as a distraction from mitigation and those for whom it is an immediate survival imperative.
The prioritisation of resilience-building and adaptation over mitigation reflects a troubling acknowledgement that climate goals are not being met, compounded by additional heat loads from AI computing worldwide
Digital infrastructure as a resilience investment, not merely a technology agenda - connectivity determines who receives warnings, whether schools stay open, and whether governments function during disasters
Digital tools such as AI-driven resource management and advanced early warning systems serve as the central nervous system of climate adaptation efforts
Prof. Demirköz raised concern that 'we cannot even come to terms with the fact that we have so many additional heat loads coming from AI compute all around the world' , framing AI as a compounding environmental burden. She also warned that space-based AI computing introduces risks of radiation altering model weights and metal oxide pollution from e-waste re-entry . Mr. Lamanauskas, by contrast, argued that digital technologies could reduce 20% of greenhouse gas emissions by 2050 and that 'AI could actually be the solution, not the problem' . Mr. Neves similarly argued that digital technologies 'can clearly strengthen resilience' , while acknowledging the need to manage their footprint . The disagreement is one of emphasis and framing: Demirköz foregrounds the costs, while Lamanauskas and Neves foreground the potential.
The prioritisation of resilience-building and adaptation over mitigation reflects a troubling acknowledgement that climate goals are not being met, compounded by additional heat loads from AI computing worldwide
Digital technologies have the potential to reduce up to 20% of greenhouse gas emissions by 2050 through smarter energy systems, efficient transport, and precision agriculture
Digital solutions must move beyond pilots to become scalable, sustainable tools that help cities manage heat, flooding, and water stress, and help governments allocate resources faster
Ms. Hoven described GIZ's approach of setting up 53 community-based weather stations and low-cost environmental sensors across 10 provinces , presenting new locally-built infrastructure as the model for closing the climate data gap. Dr. Fofana, however, argued that 'it's not about having new additional system infrastructure' and that 'with the current data we have so far, what can be done to just help countries to catch up?' . He cited GIZ's work with Ecuador using existing data to provide 60 minutes of flood warning as evidence that new infrastructure is not always necessary. While both speakers ultimately value practical solutions for developing countries, they differ on whether the primary path is building new infrastructure or optimising use of what already exists.
Community-based weather stations and low-cost environmental sensors, developed with local partners including fishermen who helped identify ideal locations, produce locally trusted data that directly informs livelihoods
Africa has 18 times fewer meteorological stations than the US and EU, and existing data must be leveraged to help developing countries catch up rather than waiting for entirely new infrastructure
Ms. Radwan criticised the funding landscape, stating that 'there is no money in foundation' and 'no money in scalability', with donors preferring to fund new use cases rather than foundational infrastructure or scaling proven solutions . She called on those with influence over funding to look at scaling use cases and delivering common data infrastructure . Dr. Fofana, while not directly contradicting Radwan, approached the financing problem from a different angle, arguing that private sector involvement requires viable business models with return on investment and de-risking mechanisms such as blended finance . He also noted that most target countries are in debt distress, making loans an additional burden . The two speakers thus diagnose the financing gap differently: Radwan focuses on donor behaviour, while Fofana focuses on private sector incentive structures.
Donors tend not to fund foundational work or scalability, preferring new use cases, which leaves critical data infrastructure gaps unfilled and countries overwhelmed with reporting obligations
Private sector involvement requires viable business models with return on investment, supported by de-risking mechanisms and blended finance, to ensure technology deployment reaches communities that need it
This disagreement was unexpected in the context of a roundtable ostensibly united around a shared agenda. Prof. Demirköz, as the keynote speaker, used her platform to express that the growing use of the word 'resilience building' reflects a troubling prioritisation of adaptation 'because we are aware that we cannot meet the goal', which she described as 'sad' . This implicit critique of the session's own framing - a roundtable on building a digital climate resilient future - was not directly addressed or rebutted by any other speaker, yet H.E. Sison , Ms. Kandemir , and Dr. Sallam all proceeded to enthusiastically embrace resilience-building as a core national strategy without acknowledging the tension Demirköz had identified. The unexpectedness lies in the fact that the keynote speaker effectively questioned the premise of the entire session, yet the discussion continued as if this challenge had not been raised.
Both Prof. Demirköz and Dr. Sallam raised concerns about the environmental and governance implications of large-scale satellite deployments, but from strikingly different angles that were not reconciled in the discussion. Demirköz focused on the physical and environmental risks of space-based AI computing - radiation altering AI weights, carbon emissions from launches, and metal oxides from e-waste re-entry - and announced plans to question SpaceX directly on carbon emissions . Dr. Sallam, by contrast, raised the capacity gap: 'how many engineers in Africa, for example, have the capacity and the competence to conduct reliable environmental impact assessment of the effect of some of these new ICT deployments?' . He questioned whether credible reports exist on the effects of low Earth orbit satellites on weather and people . This was unexpected because neither speaker was directly responding to the other, yet together they exposed a significant and unaddressed governance gap around satellite deployment that no other speaker engaged with, and which sits at the intersection of AI governance, environmental impact, and North-South capacity divides.
This disagreement was unexpected because all three speakers are broadly aligned on the need to close the climate data gap in developing countries, yet they implicitly diagnosed the financing problem in incompatible ways. Ms. Radwan was the most direct, stating that 'there is no money in foundation' and 'no money in scalability' and criticising donors for only funding new use cases . She called for a common data infrastructure . Dr. Fofana, however, argued that the private sector will only engage if there is a return on investment and that most target countries are in debt distress , pointing to the need for sovereign funds and innovative finance rather than donor reform. Ms. Hoven, representing GIZ - the very donor that Radwan praised as an exception - presented GIZ's community-based and open-source solutions as a model without acknowledging the structural critique Radwan raised. The unexpected element is that a representative of the organisation praised as an exception to the donor problem did not engage with the systemic critique, leaving a significant tension unresolved.
The roundtable exhibited a surface-level consensus around the importance of digital technologies for climate resilience, international cooperation, and the need to move from ambition to implementation. However, beneath this consensus lay several substantive disagreements. The most significant concerned: (1) whether prioritising resilience and adaptation represents pragmatic necessity or an admission of failure on mitigation, with Prof. Demirköz implicitly challenging the session's own framing while other speakers embraced resilience-building unreservedly ; (2) whether AI and digital technologies are primarily part of the climate solution or a compounding environmental problem, with Demirköz and Lamanauskas/Neves taking markedly different positions; (3) how to address the climate data gap - through new community-based infrastructure or better use of existing data ; and (4) how to fix the financing architecture - through donor reform or private sector business models . There were also unexpected governance gaps exposed around satellite deployments that no speaker directly addressed.
All four speakers agreed that data alone does not create resilience and that the quality, trustworthiness, and usability of data are critical. H.E. Sison stated that 'data helps only if it is timely, trusted, and usable by the people who must act on it' and called this 'a governance problem, not a hardware problem' . Ms. Hoven emphasised that community-based data is trusted and used 'because they come from the people and are being recognised' . Mr. Neves argued that data 'only creates value when it is trusted, interoperable, accessible and translated into planning, investment and operational decisions' . Ms. Radwan identified interoperability and lack of clear data governance principles as the biggest systemic issues . However, they diverged on solutions: Sison focused on governance frameworks, Hoven on community co-creation, Neves on digital public infrastructure and standards, and Radwan on fixing the global data ecosystem and donor behaviour.
Data helps only when it is timely, trusted, and usable by the people who must act on it — this is fundamentally a governance problem, not a hardware problem Community-based weather stations and low-cost environmental sensors, developed with local partners including fishermen who helped identify ideal locations, produce locally trusted data that directly informs livelihoods Digital solutions must move beyond pilots to become scalable, sustainable tools that help cities manage heat, flooding, and water stress, and help governments allocate resources faster The global environmental data ecosystem suffers from lack of interoperability, unclear data governance principles, insufficient capacity, limited access and affordability, and absence of clear quality metrics
All five speakers agreed that international cooperation is essential and must move beyond discussion to implementation. H.E. Sison called for cooperation to 'help countries deploy these solutions and not merely discuss them' . H.E. Hamzah called for 'stronger international cooperation, comparable data, shared technical knowledge and solutions' . Dr. Sallam called for 'practical tools, capacity building, standards, financing, knowledge sharing' . Mr. Lamanauskas described the Green Digital Action Declaration as a political milestone and emphasised moving to an implementation track . Mr. Neves argued that international cooperation 'can help create common frameworks, share implementation experience, support capacity building' . However, they differed on emphasis: Sison and Sallam stressed the needs of vulnerable and developing countries, Hamzah highlighted bilateral and multilateral technical sharing, Lamanauskas focused on political momentum and institutional mechanisms, and Neves stressed private sector-led scaling.
International cooperation must help countries deploy digital climate solutions rather than merely discuss them, moving from commitments to implementation through shared standards, financing, and capacity building Malaysia's six-way multi-operator core network sharing agreement — the first of its kind globally — demonstrates how infrastructure sharing can achieve energy efficiency improvements of 20–40%, carbon footprint reductions of 10–20%, and e-waste reductions of 15–25% African and developing-country engineers often lack the capacity to conduct reliable environmental impact assessments of new ICT deployments such as low Earth orbit satellites, and need technical support, training, and financing The Green Digital Action Declaration at COP29, endorsed by over 80 countries and 1,800 non-state actors, marked a significant political milestone in aligning digital and climate agendas GeSI, representing digital companies with a combined market value of US $6 trillion, emphasises that international cooperation must create common frameworks and ensure digital climate solutions are available to communities most exposed to climate risk, not only advanced markets
All four speakers acknowledged that the digital sector has a significant and growing environmental footprint that must be managed. Prof. Demirköz raised concerns about AI heat loads and the risks of space-based computing including carbon emissions and metal oxide pollution . Mr. Lamanauskas cited alarming statistics on data centre electricity consumption doubling by 2030, 2.5 million tonnes of e-waste annually, and water consumption equivalent to 1.3 billion people . Mr. Neves warned that 'scaling digital climate solutions without managing their own footprint risks creating new pressures while trying to solve existing ones' . Dr. Sallam called for managing 'energy use, e-waste, equipment lifecycle management, and responsible infrastructure deployment' . However, they differed in tone and urgency: Demirköz was the most alarmed and critical, while Lamanauskas and Neves treated it as a manageable challenge alongside digital's positive potential.
Moving AI computing to space introduces new risks, including radiation altering AI model weights unpredictably, carbon emissions from launches, and metal oxide pollution from e-waste re-entering the atmosphere The digital sector accounts for up to 4% of global gas emissions, data centre electricity consumption is set to double by 2030, e-waste will reach 2.5 million tonnes annually by 2030, and water consumption will be equivalent to that of 1.3 billion people in sub-Saharan Africa Digital resilience must itself be sustainable — scaling digital climate solutions without managing their own footprint risks creating new environmental pressures while trying to solve existing ones As connectivity, devices, and digital services expand, the environmental footprint of the ICT sector — including energy use, e-waste, and responsible infrastructure deployment — must be actively managed
All three speakers agreed on the value of practical, locally relevant use cases as a starting point for building climate data resilience in developing countries. Ms. Hoven highlighted GIZ's open-source solutions across Southeast Asia, Africa, and Latin America and the community-based weather station initiative . Ms. Radwan described a GIZ-funded transboundary data-sharing pilot between three African countries on flood early warning . Dr. Fofana cited GIZ's work with Ecuador using existing data for flood warnings . However, they diverged on the next step: Hoven emphasised investing more and doing it with communities , Radwan called for scaling use cases and building common data infrastructure , and Fofana emphasised that private sector business models and de-risking mechanisms are needed to sustain and scale these efforts .
Open-source AI and data-powered climate solutions developed across Southeast Asia, Africa, and Latin America can be adapted to different local contexts and further developed by partners themselves, reducing digital dependencies A transboundary data-sharing pilot between three African countries on flood early warning preparedness demonstrated that viable use cases with clear economic and societal benefits can overcome sovereignty concerns Using existing data to provide at least 60 minutes of advance warning for floods, as demonstrated in Ecuador, shows that catching up does not always require entirely new infrastructure
- Digital infrastructure must be treated as a resilience investment rather than merely a technology agenda, as connectivity determines who receives disaster warnings, whether public services remain operational, and whether governments can function during climate emergencies.
- Digital technologies hold significant potential to reduce up to 20% of global greenhouse gas emissions by 2050 through smarter energy systems, efficient transport, and precision agriculture, but this potential remains largely unrealised at scale.
- The global climate data ecosystem suffers from critical gaps, including lack of interoperability, unclear governance principles, insufficient capacity in developing countries, and absence of standardised quality metrics, all of which undermine effective climate action.
- The digital sector itself carries a substantial environmental footprint — accounting for up to 4% of global gas emissions, with data centre electricity consumption set to double by 2030, e-waste projected at 2.5 million tonnes annually by 2030, and water consumption equivalent to that of 1.3 billion people in sub-Saharan Africa.
- Community-centred, locally developed digital solutions — such as community-based weather stations co-designed with fishermen — produce more trusted and actionable data than top-down approaches, and open-source tools reduce digital dependency.
- Developing countries, particularly in Africa, face a compounded burden: they have far fewer meteorological stations than developed nations, lack engineering capacity to assess the environmental impact of new ICT deployments, and are already overwhelmed by reporting obligations.
- Data alone does not create resilience; it only creates value when it is timely, trusted, interoperable, accessible, and translated into planning, investment, and operational decisions — making data governance a more fundamental challenge than hardware provision.
- International cooperation must shift from discussion and commitment to concrete implementation, including shared standards, financing mechanisms, capacity building, and deployment support for the communities most exposed to climate risk.
- Emerging technologies such as AI computing in space introduce new and poorly understood risks, including radiation-induced corruption of AI model weights, carbon emissions from launches, and metal oxide pollution from e-waste re-entering the atmosphere, requiring urgent governance attention.
- The prioritisation of resilience and adaptation over mitigation reflects a troubling acknowledgement that global climate targets are not being met, compounded by the additional heat loads generated by AI computing infrastructure worldwide.
- Political momentum is building around the alignment of digital and climate agendas, as evidenced by the Green Digital Action Declaration at COP29 endorsed by over 80 countries and 1,800 non-state actors, and the forthcoming COP31 in Antalya, which presents a pivotal opportunity to advance implementation.
- Private sector engagement requires viable business models with clear return on investment, supported by de-risking mechanisms and blended finance, to ensure digital climate solutions reach the communities that need them most.
“Information is disappearing on this planet. 150 species are lost each day, each carrying 1.5 gigabytes of genetic data. We have the biggest loss of marine life since the dinosaurs, and 72% of the world being underwater, mostly unexplored, we're losing information even before we can discover it. As data turns into information, it should turn into knowledge and then maybe wisdom. I am worried because we are using the word 'resilience building' — we are prioritising adaptation over everything else because we are aware that we cannot meet the goal.”
“For the Philippines, climate resilience is not a concept in a report. It is the weather. Digital infrastructure now decides who gets a warning before the storm. It decides whether a school stays open. It decides whether a farmer stays in the market and whether government can still function when the water rises. We do not treat digital transformation as a technology agenda. We treat it as resilience.”
“The World Meteorological Organization estimates that closing the essential weather and climate data gap could reduce forecast errors by 30% in Africa and 20% in the Pacific. Better forecasts could produce US$5 billion in annual direct benefits and US$160 billion in wider economic gains. Investing in climate data is not only a development priority and a smart economic investment — it is also a tool to empower local communities.”
“How many engineers in Africa have the capacity and competence to conduct reliable environmental impact assessments of the effect of some of these new ICT deployments? Do we know what low Earth orbit satellites will do to our people? What will happen to our weather? Do we have any credible reports? As these innovations are being brought to our countries, we need your support — both technical but also training and financing.”
“By far the biggest concern member states had with our Global Environmental Data Strategy was not that we were focusing on the wrong things — it was that they worried it would add to their reporting obligations. There is no money in foundational work. Donors don't want to fund foundational work; they only want to fund use cases, and not things that grow and scale across different countries.”
“We need to stop treating digital transformation and climate resilience as two separate agendas. Data alone does not create resilience. It only creates value when it is trusted, interoperable, accessible and translated into planning, investment and operational decisions. Digital resilience must itself be sustainable — if we scale digital climate solutions without managing their own footprint, we risk creating new pressures while trying to solve existing ones.”
“I will add two elements to the title. I will say a 'shared and inclusive' digital climate resilient future. Africa has 18 times fewer meteorological stations than the US and EU. Private sector will be involved only if there is a return on investment. So how can we build a business model that the private sector will see profit, but also scale, and put the right mechanism — especially de-risking mechanisms — so they will see value in putting those technologies there?”
What is the carbon footprint of launching AI data centres into space, and how does this compare to the environmental cost savings they might offer?
Prof. Demirköz raised this as a critical unanswered question she intends to pose to SpaceX, highlighting that the carbon emissions from rocket launches to place data centres in orbit may undermine any environmental benefits gained from using more efficient solar panels in space.
What happens to e-waste from space-based data centres when they re-enter the atmosphere at end of life, particularly regarding metal oxide contamination?
This question was explicitly raised by Prof. Demirköz as an unresolved environmental concern. Metal oxides released into the atmosphere from re-entering satellites and hardware represent a novel and poorly understood pollution risk that requires urgent investigation.
How does radiation in space affect the integrity of AI model weights stored in space-based computing infrastructure, and what are the potential consequences of such random alterations?
Prof. Demirköz identified this as a significant technical and safety concern. Cosmic radiation can randomly alter stored data in AI systems, potentially causing catastrophic and undetected errors in AI decision-making, which demands further research before large-scale space-based AI compute is deployed.
Do engineers in Africa and other developing regions have sufficient capacity to conduct reliable environmental impact assessments of new ICT deployments, including low Earth orbit satellites?
Dr. Sallam raised this as a pressing capacity gap, noting that as new technologies such as satellite constellations are deployed in developing countries, local engineers may lack the expertise to assess their environmental and health impacts, creating a significant governance and safety risk.
What are the actual environmental and health effects of low Earth orbit satellite constellations on local populations and weather systems in developing countries?
Dr. Sallam questioned whether credible, independent research exists on the effects of large satellite constellations on weather patterns and human health, particularly in Africa, suggesting this is an area where further rigorous scientific investigation is urgently needed.
How can the global community develop scalable and replicable models for transboundary environmental data sharing, particularly for early warning systems in developing countries?
Ms. Radwan highlighted that while a pilot project on transboundary flood data sharing between three African countries showed promise, scaling such initiatives remains a major challenge due to funding constraints and donor preferences for novel use cases over foundational infrastructure.
How can funding mechanisms be restructured to support foundational data infrastructure and the scaling of proven digital climate solutions, rather than only funding new and isolated use cases?
Ms. Radwan identified this as one of her key concerns, noting that donors typically refuse to fund foundational work or the replication and scaling of existing solutions, which prevents the development of the common data infrastructure needed for countries to meet their reporting obligations and deploy AI-driven climate tools.
How can reporting obligations related to environmental and climate data be streamlined or automated so as not to overwhelm developing countries that already lack the infrastructure and capacity to comply?
Ms. Radwan noted that when UNEP presented its Global Environmental Data Strategy to 193 member states, the primary concern was not the content but the fear of additional reporting burdens. This points to a need for research into how digital tools and shared infrastructure can reduce rather than increase compliance costs.
What business models can be developed to attract private sector investment into digital climate resilience solutions in developing countries, particularly where return on investment is not immediately apparent?
Dr. Fofana stressed that private sector actors will only engage where there is a clear return on investment, and called for the development of viable business models and de-risking mechanisms, such as blended finance, to incentivise technology companies to deploy solutions in climate-vulnerable developing nations.
How can existing climate and environmental data be better utilised to help developing countries build early warning and resilience systems without requiring entirely new infrastructure?
Dr. Fofana argued that rather than always seeking new infrastructure, there is significant untapped potential in leveraging existing data. He cited an example from Ecuador where existing data was used to provide 60 minutes of flood warning, suggesting this approach deserves further research and replication.
How can innovative sovereign or blended finance mechanisms be designed to support digital climate resilience investments in debt-distressed developing countries without adding further fiscal pressure?
Dr. Fofana highlighted that most countries seeking to adopt new digital climate technologies are already in debt distress, meaning traditional loan-based financing tools are inappropriate. New financial instruments, such as sovereign funds or innovative blended finance structures, need to be researched and developed.
How can the environmental footprint of AI and digital infrastructure, including data centre energy and water consumption and e-waste, be effectively measured and governed to ensure digital climate solutions do not create new environmental pressures?
Both Mr. Lamanauskas and Mr. Neves raised this dual concern: while digital technologies offer enormous potential to reduce greenhouse gas emissions, their own growing footprint (up to 4% of global emissions, doubling data centre electricity consumption by 2030, 2.5 million tonnes of e-waste annually) must be rigorously measured and managed. Better metrics and governance frameworks are needed.
How can digital solutions be more deeply and substantively integrated into Nationally Determined Contributions (NDCs) and national climate pledges, moving beyond superficial references?
Mr. Lamanauskas noted that while 90% of reviewed climate pledges reference digital solutions, most do so at a superficial level. Further research and practical guidance are needed to help countries meaningfully embed digital technologies into their climate commitments and implementation plans.
What international standards and common frameworks are needed to ensure that digital climate data is interoperable, trustworthy, and usable across different countries and sectors?
Multiple speakers identified interoperability and the absence of common data governance principles and quality metrics as major barriers. Ms. Radwan flagged it as the biggest issue in the global environmental data ecosystem, Mr. Neves called for common standards as a prerequisite for scaling solutions, and Ms. Qi highlighted ongoing international standardisation work through ITU as a key enabler.
How can the additional heat load generated by AI computing infrastructure be accurately quantified and factored into global climate targets and adaptation strategies?
Prof. Demirköz expressed concern that the additional thermal energy produced by AI compute worldwide is not being adequately accounted for in climate discussions. She noted this would be a topic at COP31 in Antalya, suggesting it remains an open area requiring scientific investigation and policy attention.
What are the thematic implications of quantum computing and space-based computing for climate resilience and AI governance, and how should these be addressed in future UN AI Panel reports?
Prof. Demirköz referenced the UN AI Panel's commitment to producing thematic briefs on quantum computing and space, acknowledging these as identified knowledge gaps. Further research is needed to understand how these emerging technologies intersect with climate resilience and what governance frameworks are appropriate.
How can community-based and locally co-designed data collection approaches, such as low-cost weather stations developed with fishermen and local residents, be scaled and replicated across different regions?
Ms. Hoven presented GIZ's Fair Forward initiative as a successful model for building trusted, locally relevant climate data through community participation. She argued this approach should be scaled, but the conditions under which it can be replicated in different cultural and geographic contexts require further investigation.
How can the estimated economic benefits of closing the climate data gap, such as the World Bank's figures of US$5 billion in direct benefits and US$160 billion in wider economic gains, be better communicated to decision-makers to unlock greater investment?
Ms. Hoven argued that a compelling business case already exists for investing in climate data infrastructure but that decision-makers remain unconvinced. Further research into how to frame and communicate this economic case, and to whom, is needed to translate evidence into political and financial commitment.
How can digital infrastructure planning, energy policy, climate policy, and water stewardship be better integrated at the national and international level to avoid creating new resource pressures while scaling digital climate solutions?
Mr. Neves stressed that scaling AI and data-driven climate solutions without managing their own resource footprint risks creating new environmental problems. He called for convergence across policy domains, which requires further research into governance models that can coordinate these currently siloed agendas.
