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Meta employees sue over alleged AI-assisted layoff decisions

A group of 26 Meta employees has sued the company, alleging that AI-assisted systems used in layoff decisions disproportionately affected workers who had taken medical, parental, or family leave.

The lawsuit was filed in federal court in Oakland, California, and relates to Meta’s May announcement that it would cut about 8,000 jobs, or roughly 10% of its workforce.

According to the complaint, Meta used internal AI systems, activity-monitoring data, token-usage dashboards and algorithmically assisted performance rankings to help select workers for layoffs.

The plaintiffs argue that those metrics could not be fairly accumulated by employees on protected leave or by workers whose output was affected by disability-related accommodations.

All 26 plaintiffs had taken protected leave and had requested or received disability-related accommodations. They have been notified of their layoffs but remain employed, with separations expected to begin on 22 July.

The complaint alleges violations of US labour and civil rights laws, including the Family and Medical Leave Act, the Americans with Disabilities Act, the Pregnancy Discrimination Act and the Pregnant Workers Fairness Act.

Meta denied the allegations, saying the claims lack merit and that people, not AI, made workforce decisions.

The case adds to broader scrutiny of algorithmic systems in employment decisions, especially where performance metrics may have a disparate impact on workers who exercise protected rights.

Why does it matter?

The lawsuit puts algorithmic management directly into the employment-discrimination debate. If AI-assisted performance metrics do not account for protected leave, disability accommodations or caregiving responsibilities, they can appear neutral while producing unequal outcomes. The case could therefore become an important test of how existing labour and civil rights laws apply when companies use AI systems, productivity data and automated rankings in workforce decisions.

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South Korea to launch free national AI service

South Korea’s Ministry of Science and ICT has announced plans to launch the ‘AI for Everyone’ project this year, providing a homegrown AI service that anyone in the country can use free of charge without usage limits.

The ministry will select participating companies through an open call for proposals. A beta version is scheduled for late September, followed by the launch of a general-purpose AI chatbot and an AI agent to help users search for and apply for public services.

According to the ministry, the project aims to reduce reliance on overseas AI services while narrowing the digital divide. It also responds to concerns about restrictions on free AI services and possible changes by global technology companies. The nationwide service is expected to launch before the end of 2026.

Why does it matter?

The initiative combines digital inclusion with technological sovereignty by offering unrestricted access to a domestically developed AI service. Removing cost and usage limits could broaden AI adoption while integrating generative AI more closely into public services.

The project also reflects a wider international trend of governments investing in national AI capabilities to reduce dependence on foreign providers. As AI becomes part of essential digital infrastructure, countries are increasingly seeking greater control over the services, platforms and data that underpin public-sector AI deployment.

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UK to introduce AI for police evidence disclosure

The UK Home Office has announced major reforms to criminal evidence disclosure that will introduce AI tools to automatically review and summarise police evidence, modernising procedures that have remained largely unchanged since 1996.

The reforms respond to the growing volume of digital evidence in criminal investigations. According to the Home Office, a single fraud case can now involve more than four million documents, while some investigations contain digital material equivalent to 500,000 e-books. Existing guidance often requires officers to manually review and summarise potentially relevant material before prosecutors determine whether it is needed.

The government’s National Centre for Police AI, backed by £75 million in funding, will pilot AI tools capable of automatically summarising digital evidence. The technology will help officers identify, organise and process large volumes of files currently reviewed manually. According to the Home Office, the reforms could free up around six million hours annually by 2028, equivalent to approximately 3,000 additional UK frontline officers.

The government has also accepted recommendations to establish centralised procurement of police technology and create a national disclosure governance forum bringing together representatives from policing, the judiciary, prosecutors and government to oversee the introduction of new technologies. The Director of the Serious Fraud Office described the reforms as an important step towards modernising disclosure practice.

Why does it matter?

The reforms recognise that criminal justice systems increasingly struggle to manage the volume of digital evidence generated by smartphones, cloud services and online communications. Automating routine evidence review could allow investigators to spend more time on investigations while improving the speed of case preparation.

The initiative also illustrates a growing approach to AI adoption in the public sector, where AI supports administrative and analytical tasks rather than replacing human judgement. By introducing governance arrangements alongside the technology, the UK is attempting to balance efficiency gains with accountability in one of the justice system’s most sensitive areas.

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UK launches £800,000 AI Upskilling Challenge Fund in Barnsley

The UK government has opened applications for the £800,000 AI Upskilling Challenge Fund under the Barnsley Tech Town programme to support AI skills development for workers, businesses and local communities.

Training providers, charities, colleges, businesses and technology companies across the UK can apply, provided their projects are delivered in Barnsley. Priority groups include manufacturing workers, older residents, small businesses and people entering the workforce.

The government said successful projects should demonstrate the potential to be scaled nationally. Lessons from the programme will contribute to its goal of equipping 10 million workers with AI skills by 2030.

Applications open on 15 July through the government’s Find a Grant platform. Barnsley Council said the funding forms part of wider plans to strengthen the town’s digital economy and support its manufacturing and logistics sectors.

Why does it matter?

The programme illustrates how AI policy is increasingly shifting from national strategies towards place-based implementation. By testing AI training programmes in a manufacturing-focused community, the government hopes to identify approaches that could be replicated elsewhere as AI adoption accelerates across the economy.

The initiative also reflects the growing recognition that AI competitiveness depends not only on developing new technologies but also on expanding workforce skills. Helping workers and small businesses adopt AI could improve productivity while reducing the risk that parts of the labour market are left behind during the transition.

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EPO highlights Europe’s growing quantum innovation ecosystem

The European Patent Office (EPO) highlighted Europe’s growing quantum and AI innovation ecosystem during Servus Scale Up 2026 in Munich, pointing to rapid growth in quantum patenting and new initiatives to help startups commercialise deep-tech innovation.

The event brought together around 200 French and Bavarian startups, investors, researchers, technology transfer experts and policymakers to strengthen cross-border cooperation and support deep-tech entrepreneurship in strategically important technologies.

EPO Vice President Christoph Ernst said quantum patenting in Europe has increased fivefold over the past decade. According to recent EPO findings, annual growth has averaged around 20%, significantly outpacing overall patent growth.

Europe’s share of international patent families in quantum technologies also increased from 19% to 25%, reinforcing the continent’s position in one of the world’s fastest-growing technology fields.

The EPO also showcased initiatives designed to support innovators and investors. Its Deep Tech Finder now includes nearly 150 European quantum startups.

Other initiatives, including the EPO Observatory on Patents and Technology, the joint OECD study on quantum technologies, the Quantum Technology Platform and the recently launched EPO Data Desk, provide patent intelligence, market insights and analytical tools to help identify emerging opportunities and support investment decisions.

The EPO noted that although Europe has a strong research and innovation base in quantum technologies, access to funding remains more limited than in the United States. By combining patent data with market intelligence, the Office aims to help startups scale, attract investment and strengthen Europe’s long-term competitiveness in quantum technologies and AI.

Why does it matter?

Quantum technologies are expected to play an increasingly important role in fields ranging from cybersecurity and communications to healthcare and advanced computing. Strong patent activity suggests Europe remains competitive in research, but commercial success will also depend on access to investment and the ability to scale innovative companies.

By combining patent intelligence with tools for investors and startups, the EPO is seeking to strengthen Europe’s deep-tech ecosystem and improve the commercialisation of emerging technologies. This reflects a broader European effort to translate scientific leadership into long-term industrial competitiveness.

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South Korea prioritises AI and semiconductor investment in the 2027 budget

South Korea plans to introduce a record national budget exceeding KRW 800 trillion (around €500 billion) in 2027, with semiconductors, AI and youth employment at the centre of its investment strategy.

Announced during the National Fiscal Strategy Meeting, the proposed budget would increase by more than 10% compared with 2026, reflecting the government’s focus on strengthening industrial competitiveness, technological leadership and long-term economic growth.

A significant share of the funding will support three flagship initiatives focused on semiconductors, AI data centres and physical AI technologies.

The government also plans to accelerate the development of Yongin and the Honam region as major semiconductor manufacturing hubs through administrative measures including fast-track licensing and exemptions from preliminary feasibility studies for strategic projects.

Beyond industrial policy, the budget includes measures aimed at supporting citizens directly. A new Future Response Fund will finance the training of 200,000 young professionals, help create around 300,000 jobs and improve housing stability.

South Korea also plans to expand employment insurance and workers’ compensation coverage for platform workers while establishing a new K-Labour Council to strengthen labour protections.

To address fiscal sustainability, the government announced a comprehensive review of public spending aimed at generating around KRW 50 trillion in efficiency savings, described as the largest restructuring of government expenditure in the country’s history.

According to the government, the combination of strategic investment and spending reforms is intended to promote innovation while maintaining long-term fiscal sustainability.

Why does it matter?

The budget demonstrates how industrial policy is becoming a central tool for strengthening technological competitiveness. By prioritising semiconductors, AI infrastructure and advanced manufacturing, South Korea is seeking to reinforce its position in sectors that are increasingly viewed as critical to economic growth and national security.

The package also shows that governments are increasingly pairing technology investment with workforce development and labour reforms. Building AI and semiconductor capacity will require not only infrastructure and capital but also a skilled workforce capable of supporting long-term innovation.

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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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