Development Archives | Digital Watch Observatory

International Labour Organization warns AI could reshape labour markets across the Arab region

The International Labour Organization (ILO) and the United Nations Economic and Social Commission for Western Asia (ESCWA) have examined how AI may reshape labour markets and employment patterns across the Arab region.

The organisations released a report exploring how AI adoption may transform jobs, productivity, and workforce dynamics by 2035. According to the report, outcomes will depend on policy choices related to skills development, labour protections, and social support systems.

The report outlines three possible scenarios ranging from inclusive AI-driven growth to increased inequality linked to insufficient labour protections and workforce adaptation measures.

One projected strong AI-driven economic growth, combined with large-scale investment in workforce transition and retraining programmes.

Another warned that rapid technological adoption without sufficient social safeguards could deepen inequality and displace large numbers of lower- and middle-skilled workers.

A third scenario envisaged a more gradual AI integration, supported by coordinated policy reforms and inclusive labour-market strategies.

The report identifies sectors such as healthcare, education, logistics, tourism, and digital services as areas where AI-related employment opportunities may emerge. At the same time, the organisations noted that automation could reduce demand for some routine and clerical occupations.

ILO Regional Director for Arab States Ruba Jaradat said AI technologies are already affecting workplaces across public administration and service sectors in the region. She added that nearly one-quarter of occupations may experience either displacement or technological augmentation linked to generative AI systems.

The analysis also highlighted widening skills mismatches between education systems and labour market demands, with some countries facing gaps ranging from 40% to 70%. The report also highlights the importance of investment in lifelong learning, labour market institutions, social protection, and AI governance frameworks.

The discussions took place during a preparatory session linked to the Arab Forum for Sustainable Development, where policymakers, labour organisations, and international experts examined how AI may affect youth employment, women workers, and lower-skilled populations across the region.

Why does it matter?

ILO highlights how developing and emerging economies may experience AI transitions differently depending on infrastructure, education systems, governance capacity, and investment levels. Policymakers across the Arab region are now under increasing pressure to modernise labour systems while ensuring that AI adoption supports inclusive growth instead of deepening social inequality.

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EU and Africa deepen cooperation on AI investment and digital infrastructure

European Commission has expanded cooperation discussions with African partners on AI through a new EU-Africa AI Tech Business Offer Event held in Brussels.

The event brought together policymakers, technology companies, development finance institutions, and digital cooperation organisations from Europe and Africa.

Government representatives from Kenya, Nigeria, Senegal, South Africa, and Tanzania participated in discussions alongside European digital companies and private sector organisations.

According to the European Commission, discussions focused on investment opportunities, AI infrastructure, and long-term cooperation between European and African digital ecosystems.

The initiative was organised under the Team Europe approach in cooperation with Smart Africa, the German development agency GIZ, and the Digital for Development Hub.

Why does it matter?

The event highlights increasing geopolitical and economic competition around ΑΙ partnerships, infrastructure, and digital influence across emerging markets. For Europe, cooperation with African countries supports broader goals linked to digital development, technological sovereignty, and global AI governance. For African governments, the partnerships may accelerate access to AI infrastructure, investment capital, skills development, and digital innovation ecosystems.

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EU lawmakers challenge confidentiality rules on data centre emissions data

A group of 35 Members of the European Parliament has called on the European Commission to review confidentiality rules affecting public access to environmental data from data centres. The request focused on the disclosure of information related to emissions, energy use, and water consumption.

According to reporting by Investigate Europe, the disputed wording was linked to proposals submitted during consultations by Microsoft and DIGITALEUROPE. The clause was later incorporated into the EU Energy Efficiency Directive and limits disclosure of certain information related to individual data centres.

Critics argue that the measure may reduce transparency regarding the environmental impact of expanding digital infrastructure. Some lawmakers and advocacy groups have also raised questions about compatibility with transparency principles under the Aarhus Convention. Reports said critics believe the rules reduce scrutiny of the environmental impact linked to expanding AI and cloud infrastructure.

The lawmakers called on the European Commission to reconsider the provision and publish more detailed environmental reporting data. The issue has contributed to broader discussions in the EU regarding environmental accountability and oversight of digital infrastructure.

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Switzerland advances National Cyberstrategy implementation

Switzerland has reported progress in implementing its National Cyberstrategy, with more than 90 projects underway and new measures addressing the role of AI in cybersecurity.

The Federal Council was informed of the 2025 implementation report. The implementation report was prepared by the National Cyberstrategy Steering Committee together with the National Cyber Security Centre. The report tracks work across five objectives:

Empowering the public
Securing digital services and critical infrastructure
Managing cyberattacks
Combating cybercrime
Strengthening international cooperation

The report identifies AI as an important area influencing both cybersecurity risks and defensive capabilities. The report describes measures related to AI-assisted cyber threats, AI-supported cyberdefence, research projects, and public awareness activities.

The report also refers to regulatory safeguards linked to Switzerland’s ratification of the Council of Europe Convention on AI. The report frames those steps as part of a broader response to the growing importance of AI in cybersecurity.

According to the report, the National Cyber Security Centre has received 222 reports since mandatory reporting requirements for cyberattacks on critical infrastructure entered into force in April 2025. Authorities say the reports improve national cyber situational awareness and support coordinated responses to threats.

The report also highlights developments involving sector-specific cybersecurity centres, information-sharing initiatives, and vulnerability management programmes. Switzerland also continued its federal bug bounty programme and other vulnerability management initiatives.

Capacity-building programmes include the Cyber-Defence Campus Fellowship, the Cyber Startup Challenge, and the national S-U-P-E-R.ch awareness campaign. The report also notes information-sharing work through Cyber-CASE, Cyber-STRAT, and NEDIK to support faster handling of digital crimes.

International activities included participation in cyber diplomacy and capacity-building initiatives linked to Geneva Cyber Week and UN and OSCE processes.

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NASA develops AI system to track harmful algal blooms using satellite data

NASA researchers have developed an AI system designed to combine satellite datasets to improve monitoring of harmful algal blooms.

The system uses self-supervised machine learning to analyse patterns across five satellite missions and instruments, helping researchers identify blooms in regions including western Florida and Southern California. According to researchers, the approach could support environmental monitoring and earlier identification of marine health risks.

Harmful algal blooms can affect ecosystems, wildlife, coastal environments, and public health. In parts of Florida, blooms caused by Karenia brevis have disrupted coastal communities for decades, while toxic blooms along the US West Coast have harmed dolphins, sea lions, and other marine species.

NASA researchers said the system combines information from multiple satellite observation technologies. Instruments such as the PACE satellite and the TROPOMI monitoring instrument help identify algae characteristics, including pigment, fluorescence, and biological activity across ocean surfaces.

The researchers said the self-supervised AI model identifies relationships between datasets without relying heavily on manually labelled data. The system was trained using satellite observations collected during 2018 and 2019 before being tested on later bloom events.

Michelle Gierach of NASA’s Jet Propulsion Laboratory said the system could help environmental agencies identify areas for water sampling earlier during bloom development. Researchers said combining satellite observations with field data may improve coordination between scientific and public health teams.

The project team said the system is being expanded using additional coastal and freshwater datasets.

Why does it matter?

NASA’s development highlights growing use of AI and satellite intelligence for environmental monitoring and climate-related risk management. Harmful algal blooms are becoming an increasing concern for coastal economies, fisheries, tourism, biodiversity, and public health systems worldwide.

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Canada advances 5G expansion with new spectrum and tower infrastructure reforms

Canada has announced measures to strengthen wireless connectivity, expand 5G infrastructure and accelerate the deployment of next-generation telecommunications technologies.

The government confirmed the rules for a planned 2027 millimetre-wave spectrum auction in the 26 GHz and 38 GHz bands. The auction will make 4.8 GHz of spectrum available to support advanced 5G applications and future 6G technologies. An additional 850 MHz of spectrum in the 26 GHz band will be made available through a future non-competitive licensing process.

The auction framework includes spectrum caps intended to ensure that several operators can access spectrum in each area. It also introduces smaller licensing areas, allowing operators to target spectrum access according to regional and business needs.

Alongside the spectrum measures, the government is proposing reforms to modernise Canada’s wireless tower-siting process. Planned changes include a standardised digital approval process and a publicly accessible online portal for applications and consultations. The reforms are intended to reduce administrative burden, improve transparency and support faster infrastructure deployment.

Minister of Industry Mélanie Joly said reliable and affordable connectivity is essential for economic growth, public safety and quality of life. The government said faster and more efficient infrastructure approvals would support competition, innovation and expanded wireless coverage across the country.

Officials also noted that millimetre wave spectrum can carry large amounts of data over short distances, supporting applications such as industrial automation, smart agriculture, private networks and fixed wireless services in rural and remote communities.

Why does it matter?

The announcement shows how 5G and future 6G planning increasingly depend on both spectrum policy and infrastructure deployment rules. By combining new mmWave spectrum with tower-siting reforms, Canada is trying to increase wireless capacity, reduce rollout delays and support data-intensive applications in industry, agriculture, private networks and rural connectivity.

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Meta reportedly cuts 8,000 jobs as AI investment and restructuring accelerate globally

Meta is reportedly cutting about 8,000 jobs globally as part of a restructuring aimed at reducing costs while increasing spending on AI infrastructure and products.

According to media reports, the cuts represent about 10% of Meta’s workforce and are intended, in part, to offset the cost of the company’s expanding AI investments. The reductions are expected to affect engineering and product teams in particular, with employees in several regions notified as the restructuring begins.

Reports also indicate that around 7,000 employees are being reassigned to new AI-focused teams, while thousands of open roles have been closed. The restructuring reflects Meta’s effort to redirect resources towards AI products, infrastructure and agent-based tools across its platforms.

In Ireland, reports said around 350 jobs were affected, representing a significant share of Meta’s local workforce. The company has not publicly confirmed all regional figures, but said affected employees and authorities had been notified.

The cuts come as Meta prepares for a major increase in AI-related capital expenditure. Reports say the company expects spending to rise sharply in 2026 as it builds infrastructure for AI models, personalised assistants and other AI-powered features across Facebook, Instagram, WhatsApp and its wider product ecosystem.

Staff concerns have also emerged around the pace of restructuring, internal communication and workplace monitoring linked to AI development. Reports cited employee unease over plans to monitor computer activity as part of AI training practices.

Why does it matter?

Meta’s restructuring shows how major technology companies are reallocating labour and capital around AI. The reported job cuts are not only a cost-saving exercise, but part of a wider shift in which companies are redirecting resources towards AI infrastructure, automation and agentic systems. The development also highlights a growing tension in the tech sector: AI is being presented as a long-term growth engine, while workers face uncertainty over how that transition will reshape roles, teams and investment priorities.

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Việt Nam highlights AI in national digital transformation strategy

Việt Nam’s Ministry of Science and Technology has highlighted AI as part of the country’s digital transformation and innovation strategy. Officials said AI is being prioritised alongside technologies including big data, cloud computing, blockchain, and the Internet of Things.

The comments were made during a workshop focused on AI products and technology cooperation. Participants said businesses are showing growing interest in AI adoption while facing implementation and investment challenges.

Discussions also addressed data infrastructure, computing capacity, and explainable AI systems for public administration and urban management.

Participants said stronger infrastructure, workforce development, and research support could help expand Việt Nam’s role in the regional AI and digital technology sectors. The workshop took place in Hà Nội, Việt Nam.

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Singapore and Google strengthen collaboration on AI innovation and digital governance

Google and Singapore’s Ministry of Digital Development and Information have announced an expanded National AI Partnership designed to accelerate the deployment of frontier AI technologies across the country’s economy and public sector.

The initiative builds on earlier collaboration between Google and Singapore’s digital authorities and aims to support healthcare innovation, scientific research, workforce development, enterprise transformation, and AI governance. Officials said the partnership aligns with Singapore’s National AI Strategy and broader ambitions to position the country as a global AI hub.

A major focus of the collaboration involves healthcare and life sciences. Google DeepMind is exploring AI co-clinician systems with Singapore’s public healthcare sector, examining how AI agents could support doctors and patients throughout medical treatment and decision-making processes.

Google DeepMind will also collaborate with the National Research Foundation to train researchers on agentic AI systems designed to accelerate scientific discovery. Additional partnerships with the Agency for Science, Technology and Research will focus on AI-enabled research and secure cloud-based scientific analysis tools.

The agreement also expands AI deployment in education. Google and Singapore’s Ministry of Education plan to strengthen educator training programmes and integrate AI-powered teaching support tools across schools. Officials said the partnership aims to improve digital learning capabilities while supporting broader AI workforce readiness initiatives.

Singapore and Google additionally announced plans to collaborate on AI safety, governance, and cybersecurity frameworks. A joint initiative involving Cyber Security Agency of Singapore and other agencies is examining how AI agents interact with real-world digital systems and how governance rules should evolve around autonomous AI technologies.

Officials described the partnership as part of a wider effort to deploy frontier AI responsibly while supporting economic growth, public services, and digital transformation.

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Study examines local warming effects linked to data centre expansion

New research suggests that expanding data centre infrastructure may contribute to localised warming effects similar to urban heat islands.

The study, published in the Journal of Engineering for Sustainable Buildings and Cities, examined several data centres in the Phoenix metropolitan area and found measurable increases in surrounding air temperatures. Researchers reported temperature increases ranging from approximately 1.5 to 4 degrees Fahrenheit within areas located downwind from facilities.

Data centres generate waste heat through cooling systems used to support high-performance computing operations.

According to the researchers, large data centre campuses can generate concentrated thermal output associated with high energy consumption.

The findings come as global demand for AI, cloud computing, and digital services continues to drive the construction of new facilities across the US and other regions. Northern Virginia, Phoenix, and several European locations have become major hubs for hyperscale infrastructure development.

The researchers said the observed effects differ from traditional urban heat islands because of continuous cooling activity and continuous energy consumption. The study noted that clusters of facilities may produce cumulative effects that require further investigation.

The researchers discussed potential implications for energy demand, infrastructure planning, and surrounding communities. The study said elevated local temperatures could influence cooling demand and related environmental conditions.

Furthermore, scientists stressed that additional peer-reviewed research remains necessary to determine the long-term climatic significance of large-scale data centre expansion.

Why does it matter?

The findings reflect growing scrutiny surrounding the environmental footprint of AI infrastructure. Data centres already face criticism over electricity consumption, water usage, and grid pressure. The possibility that concentrated AI infrastructure may also influence local temperatures introduces another dimension to debates surrounding sustainable digital expansion.

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