ai Archives | Page 3 of 405 | Digital Watch Observatory

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!