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Nobel laureates call for urgent AI economic planning

Sixteen Nobel laureates have joined leading economists and AI researchers in calling for urgent preparation for the economic changes that more powerful AI systems could trigger.

The statement, titled We Must Act Now: A Statement on AI’s Transformation of the Economy, was released by the Stanford Digital Economy Lab.

It was organised by economists Erik Brynjolfsson, Ajay Agrawal, Anton Korinek and Tom Cunningham, and has been signed by more than 200 experts.

The statement warns that AI may become radically more powerful over the next decade, potentially driving an economic transformation larger than the Industrial Revolution but unfolding over a much shorter period.

The signatories say AI could bring major gains in living standards, but also risks, including large-scale job displacement.

They argue that economists, policymakers and technology leaders must act now to understand these impacts and prepare society for the transition.

The statement calls for incentives, guardrails and institutions that steer AI towards complementing human labour and benefiting society.

Its authors stress that the economic outcome of AI is not predetermined and will depend on choices made by governments, companies and researchers.

Why does it matter?

The statement adds weight to the debate over AI’s economic impact because it brings together Nobel laureates, economists, AI researchers and technology leaders around a common warning: societies may have far less time to adapt to AI than they had during earlier technological shifts. Its central message is not that job displacement is inevitable, but that policy choices made now will shape whether AI raises living standards broadly or concentrates economic power and leaves many workers behind.

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WHO and Portugal to host global AI health conference

WHO/Europe and the Government of Portugal will co-host a global high-level conference on AI in health on 15 and 16 July 2026 in Lisbon.

The event will bring together senior government officials, regulators, clinicians, civil society, multilateral organisations, academics and industry representatives.

The conference aims to turn political commitment to AI in health into coordinated, practical and equity-oriented action.

Discussions will focus on where AI is already delivering value in health and care, how successful approaches can be scaled, and how countries can avoid common implementation failures.

Key themes include governance and strategic leadership, legal and ethical frameworks, accountability, liability, risk management, data governance, digital infrastructure and interoperability.

Participants will also examine workforce preparedness, institutional capacity, sustainable implementation models and responsible AI investment.

WHO said the discussions are designed to support countries at different levels of digital maturity and health-system capacity.

The conference is anchored in WHO’s global and regional priorities, including the need for resilient, data-driven health systems and responsible AI adoption grounded in equity, human rights, interoperability and institutional capacity.

Why does it matter?

AI in health can support diagnostics, service delivery, system planning and patient care, but unsafe or poorly governed deployment can create risks around bias, liability, privacy, interoperability and accountability. WHO/Portugal conference matters because it focuses on implementation rather than principles alone. Its agenda highlights the practical conditions countries need before scaling AI in health: strong governance, usable data infrastructure, prepared workforces, clear legal frameworks and sustainable investment.

Meta expands Louisiana AI data centre with $50 billion investment

Meta has announced plans to expand its data centre in Richland Parish, Louisiana, increasing the site’s AI computing capacity to 5 GW as part of the company’s broader investment in AI infrastructure. Meta said the expansion represents an investment of more than $50 billion and will support more than 1,000 permanent jobs once the facility becomes operational.

According to Meta, the project includes more than $1 billion in local infrastructure improvements, covering roads, water and wastewater systems. The company also said it has awarded more than $1.6 billion in contracts to Louisiana businesses since construction began in 2024.

The project also includes workforce development initiatives. Meta has committed $5 million to Louisiana Delta Community College for scholarships and training programmes related to data centre employment, while continuing to support local schools, businesses and community initiatives through grants and skills programmes.

Meta said the expanded campus forms part of its wider investment in AI infrastructure across the United States as demand for computing capacity continues to grow.

Why does it matter?

The expansion reflects the rapid growth in demand for AI computing infrastructure as technology companies invest heavily in data centres capable of training and running increasingly advanced AI models. Access to large-scale computing power is becoming a key competitive advantage in the AI industry.

The project also illustrates the broader economic impact of AI infrastructure investments. Beyond computing capacity, hyperscale data centres require significant spending on energy, water, transport and workforce development, making them increasingly important drivers of regional economic development.

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Intel invests €5 billion in Ireland chip expansion

Intel has announced a €5 billion investment to expand semiconductor manufacturing at its Leixlip campus in Ireland, increasing production capacity for processors used in AI and high-performance computing.

The investment is intended to meet growing demand for AI and high-performance computing by expanding production of Intel Xeon 6 and next-generation Intel Xeon processors built on the Intel 3 process node. Intel said the project will also support research and development while making greater use of existing cleanroom capacity.

Construction began earlier this year and is expected to create permanent high-tech jobs while supporting specialised construction and equipment installation work. Planned upgrades also include expanding the campus’s automated track system to improve manufacturing efficiency.

Intel said the investment will strengthen Europe’s semiconductor supply chain and support its foundry customers. The company added that the expansion builds on more than €30 billion invested in Ireland since 1989, reinforcing the country’s position as one of Europe’s leading semiconductor manufacturing hubs.

Why does it matter?

The investment reflects continued growth in demand for processors supporting AI and high-performance computing, as semiconductor manufacturers expand existing facilities to increase production capacity. It also highlights the strategic importance of advanced chip manufacturing as governments and industry seek to strengthen resilient semiconductor supply chains.

For Europe, the expansion supports wider efforts to increase domestic semiconductor production and reduce dependence on overseas manufacturing. Investments in established fabrication sites such as Leixlip could play an important role in strengthening the region’s long-term technological competitiveness and digital sovereignty.

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UNESCO promotes inclusive digital transformation at WSIS Forum 2026

UNESCO used the WSIS Forum 2026 to promote a vision of digital transformation centred on inclusion, multilingualism, human rights and the public interest, arguing that emerging technologies should remain accessible, ethical and beneficial for everyone.

A central theme of UNESCO’s participation was multilingual digital inclusion. The organisation argued that people should be able to access digital services, create knowledge, preserve cultural heritage and participate online using their own languages and writing systems.

Together with ICANN, UNESCO launched a joint policy brief on Universal Acceptance, calling on governments, industry and the technical community to ensure that all domain names and email addresses work seamlessly across different languages and writing systems.

UNESCO also reaffirmed the importance of human rights-centred governance for AI and emerging technologies. Discussions focused on embedding ethics into digital transformation, strengthening international cooperation on AI governance and preparing for the transition to quantum-safe technologies through transparent, inclusive and rights-based policy approaches.

The organisation also highlighted the role of libraries and other trusted public institutions in narrowing the digital divide by expanding access to digital services, digital skills and reliable information.

Why does it matter?

UNESCO’s participation at WSIS Forum 2026 highlights a vision of digital transformation that extends beyond technological innovation to include cultural diversity, inclusion and human rights. Rather than treating AI, internet governance and emerging technologies as purely technical issues, the organisation argues they should be shaped by public-interest principles that ensure everyone can participate in the digital economy.

By linking multilingual internet access, ethical AI, quantum governance and trusted public institutions, UNESCO is promoting a comprehensive approach to digital governance that could influence future international cooperation as governments implement the outcomes of WSIS+20 and the Global Digital Compact.

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Music industry introduces labels for AI-generated songs

Major music industry organisations have announced a voluntary labelling system to help listeners understand when AI has been used in songs.

Groups including the RIAA, IFPI, the Recording Academy, SAG-AFTRA, IMPALA, WIN, A2IM and the Human Artistry Campaign back the initiative.

The labels will distinguish between ‘AI-generated’ and ‘AI-assisted’ music.

An ‘AI-generated’ label will apply when most or nearly all of the creative elements in a recording are artificial, such as an AI-generated lead vocal, instrumental performance or a song created from a prompt.

An ‘AI-assisted’ label will apply when humans mainly create a track but use AI for some expressive elements.

Industry leaders said the aim is to give fans clearer information about how music is made, while protecting human creativity, authorship and artistic intent.

The move comes as streaming platforms face rising volumes of AI-made content and low-quality uploads.

Deezer said in April that AI-generated tracks accounted for 44% of all new music uploaded to its platform each day.

Spotify also removed around 75 million spam tracks in 2025, as platforms increase efforts to identify low-quality, fraudulent or unauthorised content.

Why does it matter?

The labelling initiative shows how the music industry is trying to build transparency around AI use without waiting for formal regulation. Clear labels could help listeners distinguish fully synthetic music from human-led work that uses AI as a tool. They may also support copyright, attribution and platform-governance efforts as streaming services face growing volumes of AI-generated tracks, recycled content and spam uploads.

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Philippines uses AI and satellites to strengthen food security

The Philippine Department of Agriculture and the Philippine Statistics Authority are partnering to use AI and satellite technology to improve agricultural data collection, strengthen national food security and support more informed policymaking. Agriculture Secretary Francisco Tiu Laurel Jr. stated that enhanced data sharing between the two agencies would enable policymakers to make more informed decisions on food production, logistics and supply.

The Philippine Statistics Authority has begun piloting AI and satellite imagery to estimate crop production, building on approaches already used in several countries. National Statistician Claire Dennis Mapa said the technology would become more accurate as the Department of Agriculture expands field verification to validate satellite-generated data. The agencies also agreed to broaden the use of digital technologies in agricultural statistics and strengthen the capacity of local government units.

Agriculture Secretary Tiu Laurel also renewed calls to rebuild the department’s network of agricultural extension workers, describing them as its missing ‘boots on the ground’. Expanding the field workforce would support near real-time data collection, improve production forecasts and enable faster responses to challenges affecting farmers and fisherfolk. He also welcomed this year’s national census, saying updated population data would improve food demand forecasting.

The partnership aims to shift the Department of Agriculture from reactive to proactive food security management. Updated agricultural and population data will help the government better estimate future food demand, refine production targets and improve budget planning. According to Tiu Laurel, data should help policymakers anticipate future challenges rather than simply document past events in the Philippines.

Why does it matter?

The initiative illustrates how AI and Earth observation technologies are becoming practical tools for agricultural governance. More timely and accurate data can help governments improve production planning, respond more quickly to climate-related disruptions and strengthen long-term food security.

The partnership also highlights that digital transformation depends on both technology and institutional capacity. By combining AI, satellite imagery and field verification through agricultural extension workers, the Philippines is seeking to build a more reliable and responsive agricultural information system that could serve as a model for other countries facing similar food security challenges.

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CERN scientists see AI shaping next-generation collider research

CERN researchers are expanding the use of AI across particle physics, deploying AI both during experiments and in the analysis of collision data.

According to CERN physicists, AI systems are already being used to help identify potentially significant particle collisions in real time, enabling researchers to process the enormous volumes of data generated by the Large Hadron Collider (LHC).

Scientists say AI’s role is expected to grow as CERN upgrades the LHC to the High-Luminosity LHC and develops plans for the Future Circular Collider (FCC), a proposed successor that is expected to begin operation in the 2040s. Beyond analysing experimental data, researchers are exploring how AI could support the design of detectors, optimise collider components and improve operational efficiency.

According to CERN physicist Maurizio Pierini, new AI techniques, including neural-network-based trigger systems and anomaly detection, could help identify unexpected events that existing theories do not predict. Researchers also expect AI to improve the precision of data analysis and assist with the design and operation of future particle physics experiments.

Why does it matter?

CERN’s work illustrates how AI is becoming part of the scientific research infrastructure rather than simply a tool for analysing results after experiments. The technology is increasingly being integrated into the design, operation and interpretation of large-scale scientific facilities, with potential implications for how future discoveries are made across research disciplines.

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UNESCO study highlights AI gender gap in South Asia

UNESCO has published the Outlook Study on Artificial Intelligence and Gender in South Asia, the first regional assessment of women’s participation in AI across Bangladesh, Bhutan, India, Maldives, Nepal and Sri Lanka.

Developed by the UNESCO Women for Ethical AI (W4EAI) South Asia Chapter, the report examines women’s representation across the AI ecosystem, from education and research to employment and entrepreneurship, highlighting the structural barriers that limit leadership opportunities.

The study finds that greater access to higher education has not translated into equal participation in AI-related fields. Women account for only around one-third of STEM students across the region and remain significantly underrepresented in computing, engineering and AI disciplines.

Although women contribute to AI research, they hold only 26% of corresponding or lead authorship positions, reflecting limited representation in research leadership. In the labour market, women remain concentrated in lower-value AI roles, while technical positions involving AI model development continue to be dominated by men.

Female entrepreneurs also face persistent barriers, including limited access to investment, technical expertise and institutional support.

Drawing on education and labour statistics, bibliometric analysis, LinkedIn Economic Graph data and interviews with women working in AI, UNESCO concludes that AI could either reinforce existing inequalities or become a catalyst for greater gender equality, depending on policy choices.

The report calls for greater investment in inclusive AI education, skills development, leadership opportunities and ethical AI governance to ensure women can participate fully in shaping the region’s AI future.

Why does it matter?

The report shows that gender inequality in AI extends well beyond education, affecting research leadership, employment, entrepreneurship and access to decision-making roles across South Asia. As countries invest in AI-driven economic growth, broader participation will be important not only for fairness but also for innovation and the development of AI systems that reflect diverse perspectives.

The findings also reinforce the growing link between AI governance and inclusion. Building ethical and trustworthy AI depends not only on technical safeguards but also on ensuring that women have equal opportunities to shape how AI technologies are designed, developed and deployed.

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Greece begins parliamentary debate on EU AI Act implementation

Greece has introduced a draft law to implement the EU AI Act, becoming one of the first EU member states to establish a comprehensive national governance framework for enforcing the regulation.

The legislation aims to promote the safe, trustworthy and human-centred use of AI while protecting fundamental rights and supporting innovation, entrepreneurship and economic competitiveness.

The draft law designates the Hellenic Data Protection Authority as the national market surveillance authority and national contact point under the AI Act, while assigning the Hellenic Telecommunications and Post Commission as the notifying authority.

It also establishes an Artificial Intelligence Coordination and Know-how Centre to provide technical expertise to regulators, alongside a unified complaints mechanism and an administrative sanctions framework to support enforcement.

To encourage responsible innovation, the proposal introduces an AI regulatory sandbox, allowing startups and small and medium-sized enterprises to test AI applications under regulatory supervision.

The legislation also creates a Unified Registry of Public Artificial Intelligence Systems to strengthen transparency and accountability, while expanding the role of Greece’s AI Observatory in monitoring implementation of the National AI Strategy.

According to the Ministry of Digital Governance, the framework follows the AI Act’s risk-based approach by applying oversight measures proportionate to the risks posed by different AI systems.

The proposal builds on Greece’s broader AI strategy, including the creation of the Special Secretariat for Artificial Intelligence and Data Governance, with the aim of balancing innovation, economic development and the protection of fundamental rights.

Why does it matter?

Greece is positioning itself among the first EU member states to translate the AI Act into operational national institutions and enforcement mechanisms. By establishing supervisory authorities, a regulatory sandbox and governance structures ahead of key implementation deadlines, the country aims to provide greater legal certainty for businesses while supporting responsible AI innovation.

The legislation also illustrates how the AI Act will increasingly be implemented through national institutions rather than EU bodies alone. As other member states develop their own enforcement frameworks, differences in implementation could shape how consistently the regulation is applied across the European Union.

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