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Pax Silica expands with new AI partnership, supply chain initiatives, and workforce programme

The United States has announced a series of new initiatives under the Pax Silica partnership aimed at strengthening AI supply chain security, expanding international cooperation on AI, and supporting advanced manufacturing capabilities among participating economies.

The announcements were made following the 2026 Pax Silica Summit, the second meeting of the initiative launched by the US Department of State in December 2025. Pax Silica focuses on strengthening economic security and resilient supply chains across sectors, including semiconductors, critical minerals, advanced manufacturing, energy inputs, AI, and digital infrastructure, through cooperation among participating countries.

One of the summit’s principal outcomes was the signing of a Joint Statement on AI Opportunity by the United States and nearly three dozen partner economies. According to the US Department of State, the statement promotes a pro-innovation and pro-growth approach to AI governance while emphasising secure AI supply chains and support for startups, developers, and private-sector innovation. Signatories include countries from Europe, the Indo-Pacific, the Middle East, and Latin America, including Australia, Germany, India, Japan, the Republic of Korea, Singapore, the United Kingdom, and the United States.

The summit also expanded the Pax Silica partnership itself. Ten additional participants, including Argentina, Chile, Costa Rica, El Salvador, the European Union, Germany, Greece, Kazakhstan, the Netherlands, and Panama, joined the initiative, bringing the total number of signatories to 24. Taiwan continues to support the initiative’s principles through a separate joint statement on economic security cooperation with the United States.

Another announcement focused on strengthening the security and transparency of AI supply chains. The US Department of State plans to launch a competitive funding programme for a pilot AI Assistance Project in Panama to develop an AI supply chain credentialing and provenance platform. According to the Department, the proposed platform would integrate with customs authorities, ports, and logistics systems to help verify and facilitate shipments of semiconductors, AI infrastructure, critical minerals, and other strategic goods. If successfully implemented in Panama, the project could later be expanded to additional Pax Silica partners.

The summit also introduced Foundry School, a workforce development initiative established jointly by the US Department of State and Stanford University. The programme will begin with seminars at Stanford for entrepreneurs and industrial leaders and will be complemented by an advanced manufacturing curriculum that participating educational institutions across Pax Silica economies will be able to adopt. The initiative aims to strengthen expertise in advanced manufacturing, recognising its growing importance for both economic competitiveness and technological development.

Pax Silica reflects broader government efforts to strengthen resilience across AI-related supply chains as geopolitical competition increasingly intersects with technological development. In recent years, countries have introduced a range of policies covering semiconductor production, critical minerals, export controls, and trusted technology partnerships, while also seeking to balance innovation with economic and national security considerations.

The summit’s outcomes indicate that Pax Silica is evolving beyond a policy dialogue into a broader cooperation framework encompassing AI governance, supply chain security, industrial capacity, and workforce development. Whether the initiatives announced at the summit expand beyond their initial pilot phase will depend on implementation by participating governments and continued international cooperation among partner economies.

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Altman proposes US-led international forum for AI safety standards

OpenAI CEO Sam Altman has called for the creation of a US-led international forum to establish global safety standards for AI, arguing that no single country or company should dominate the governance of increasingly capable AI systems.

Writing in an opinion article published in the Financial Times, Altman proposed an international body bringing together governments, independent technical experts, and other stakeholders to develop accepted AI safety standards, provide impartial assessments of AI capabilities and risks, and make advanced AI technologies available to countries and organisations that participate in and comply with agreed rules.

According to Altman, such a forum could also serve as a governance mechanism for frontier AI developers, helping to reduce commercial pressures that may encourage companies to prioritise rapid deployment over safety. He argued that international cooperation has previously enabled countries to manage other strategically important technologies despite geopolitical competition.

To illustrate his proposal, Altman pointed to existing international governance mechanisms such as the International Atomic Energy Agency (IAEA), which oversees the peaceful use of nuclear technology, as well as global aviation safety frameworks and international financial standards. In his view, these models demonstrate that countries can establish common rules for technologies with significant cross-border implications while maintaining national interests.

Altman also argued that the benefits of AI should be shared more broadly, writing that ‘everyone on Earth should benefit from this technology and determine for themselves how best to use it.’ His proposal follows discussions at the recent Group of Seven (G7) summit in France, where executives from OpenAI, Anthropic, and Google DeepMind met with political leaders to discuss international approaches to governing advanced AI models.

A key challenge for any international oversight mechanism, however, remains enforcement. Unlike nuclear facilities or aircraft, frontier AI models are developed within highly secured data centres, making independent verification considerably more difficult. The limited visibility into model training, testing, and deployment has led many experts to question how compliance with international AI standards could be monitored in practice.

Altman’s proposal is not the first call for stronger international oversight of advanced AI. OpenAI and Anthropic have previously supported the idea of international governance mechanisms for frontier AI systems. Anthropic CEO Dario Amodei has argued for a more prescriptive regulatory approach, drawing comparisons with the US Federal Aviation Administration and advocating stronger regulatory oversight for highly capable AI models.

The proposal also comes as governments continue to expand their involvement in AI governance. Alongside national regulatory initiatives, international discussions have accelerated through forums such as the G7, the Global Partnership on AI (GPAI), and the UN.

Earlier this week, the UN’s Independent International Scientific Panel on Artificial Intelligence published its first preliminary assessment of AI opportunities, risks, and governance challenges ahead of the inaugural Global Dialogue on AI Governance in Geneva, reflecting growing international efforts to establish evidence-based approaches to AI governance.

Whether Altman’s proposal develops into a formal international initiative will ultimately depend on governments rather than AI companies. Commenting on broader discussions around AI governance, analysts at the Brookings Institution argued that cooperation between governments and leading AI developers could help establish common standards, but stressed that any future international framework would need effective implementation and enforcement mechanisms rather than relying solely on voluntary commitments.

As governments, international organisations, and AI developers continue debating how to govern increasingly capable AI systems, Altman’s proposal adds to a growing conversation about whether existing institutions are sufficient or whether new international mechanisms will be needed to manage the opportunities and risks associated with frontier AI.

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University of Wisconsin launches College of Computing & AI

The University of Wisconsin-Madison has launched its College of Computing & Artificial Intelligence (CAI), the institution’s first new college in more than four decades.

The new college brings together the departments of Computer Sciences, Statistics and the Information School, building on the School of Computer, Data & Information Sciences established in 2019.

The college will focus on computing and AI education and research while promoting collaboration across fields including health, engineering, business, the social sciences, the arts and the humanities.

The university also plans to launch new academic programmes, recruit 50 faculty members over the coming years and expand partnerships with industry and government to strenthen research, education and innovation.

Why does it matter?

The creation of a dedicated College of Computing & Artificial Intelligence reflects the growing importance universities are placing on AI as a cross-disciplinary field rather than a specialised area within computer science. By bringing together expertise from multiple disciplines, the university aims to prepare students and researchers to address the technical, social and ethical challenges of AI.

The investment also highlights intensifying competition among higher education institutions to attract talent, research funding and industry partnerships in AI. Expanding faculty, academic programmes and collaboration with government and business positions the university to play a larger role in developing the next generation of AI research and workforce skills.

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Europol Roblox game wins EU award for online child safety

Europol’s Cyber Defenders initiative has won the 2026 European Ombudsman Award for Good Administration.

The free educational game, built on Roblox, is designed to help children recognise online risks and develop safer behaviour in digital environments.

Cyber Defenders received the overall award, selected from 48 nominations submitted by the EU institutions, bodies and agencies. It also won the Excellence in Technological Innovation and the Use of AI category award.

The game teaches children about risks such as fraud, identity theft and online grooming through interactive missions rather than traditional awareness campaigns.

Europol says the project was developed to reach children in online gaming environments they already use, while making them more comfortable asking for help when they encounter risks.

The agency has also published supporting resources for teachers, parents and schools, including a game guide, lesson assessment, poster and letter to parents.

The award follows earlier recognition of Europol digital initiatives, including Trace An Object, which uses public participation to help identify victims of child sexual abuse.

Why does it matter?

Cyber Defenders shows how law enforcement agencies are experimenting with interactive tools to improve children’s digital safety skills. Game-based learning can make online safety more relevant for younger users, especially in gaming environments where risks such as grooming, scams and identity theft may appear. The award also reflects broader recognition that digital literacy and prevention are part of child online safety, alongside regulation, enforcement and platform accountability.

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WTO highlights AI opportunities for small businesses

The WTO’s Informal Working Group on Micro, Small and Medium-sized Enterprises (MSMEs) has highlighted AI as a key tool for helping small businesses compete in international trade.

During meetings on 29 and 30 June, WTO members explored how AI could strengthen supply chains, reduce trade barriers and help smaller firms navigate an increasingly uncertain global trading environment. The group also welcomed Ghana as its 106th member.

One of the highlights was the announcement of the 2026 Small Business Champions, recognising organisations using AI to support international trade.

Zambia’s Rinato Space was selected to apply satellite technology and AI to provide climate monitoring, early warning systems and capacity-building services for smallholder farmers, helping improve agricultural productivity and export opportunities.

France-based Koaloo.FI was also recognised for using generative AI to automate environmental, social and governance compliance, assess supply chain risks and improve access to financing for small suppliers.

The competition also recognised Colombia’s Cámara Colombiana de Informática y Telecomunicaciones and the Center for International Private Enterprise for developing an AI governance roadmap for Latin America that includes affordable AI tools for MSMEs.

Türkiye’s Globby was honoured for creating an AI-powered trade intelligence platform that helps small businesses identify international market opportunities and participate more effectively in global commerce.

WTO members acknowledged persistent barriers to AI adoption, including limited digital infrastructure, fragmented international standards, shortages of technical expertise, constrained access to finance and the need for supportive legal and regulatory frameworks.

WTO officials also presented ongoing initiatives, including preparations for the upcoming World Trade and Tech Day, alongside new AI-related learning tools and digital trade resources.

The meeting also focused on broader trade uncertainty affecting small businesses worldwide.

The meeting also addressed broader trade uncertainty affecting MSMEs. Representatives from organisations including World Intellectual Property Organization, the International Finance Corporation, the International Telecommunication Union, the Food and Agriculture Organization and the Pan African Alliance of Small and Medium Industries presented initiatives to improve market access, trade finance, intellectual property protection and digital trade participation.

Why does it matter?

The discussions reflect a growing recognition that AI is becoming an important enabler of international trade, particularly for smaller businesses that often lack the resources to compete with larger firms. By helping automate compliance, improve supply chain management and identify export opportunities, AI could reduce longstanding barriers to global market participation.

At the same time, the meeting highlighted that technology alone is not enough. Expanding the benefits of AI for MSMEs will depend on investment in digital infrastructure, skills, financing and interoperable regulatory frameworks, making international cooperation an increasingly important component of digital trade policy.

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UN scientific panel publishes first global AI assessment ahead of Geneva governance dialogue

The United Nations’ Independent International Scientific Panel on Artificial Intelligence has published its first preliminary report, providing an evidence-based assessment of AI’s opportunities, risks, and societal impacts ahead of next week’s inaugural Global Dialogue on AI Governance in Geneva. Rather than prescribing specific policies, the report aims to inform international discussions by providing an independent scientific foundation for AI governance decision-making.

Established by the UN General Assembly in August 2025 following commitments made in the Global Digital Compact, the panel brings together 40 independent experts from academia, civil society, the private sector, and the technical community. It is the first permanent UN scientific body dedicated exclusively to assessing the development and societal implications of AI. The report will serve as a key input to the Global Dialogue on AI Governance, which takes place on 6–7 July alongside the World Summit on the Information Society (WSIS) Forum and the AI for Good Global Summit in Geneva.

The preliminary report examines AI through four broad dimensions:

Scientific and technological developments;
Opportunities for sustainable development;
Emerging risks;
Approaches to international governance.

Instead of advocating a particular regulatory model, the panel seeks to establish a shared evidence base that can support future policymaking and international cooperation on AI.

Rather than focusing solely on risks, the report examines AI’s growing role across sectors, including healthcare, education, agriculture, scientific research, and public administration. It describes AI as a general-purpose technology with the potential to accelerate innovation, improve productivity, and expand access to knowledge and public services. At the same time, the panel notes that these benefits remain unevenly distributed across countries and regions, with significant disparities in access to computing infrastructure, technical expertise, and digital resources.

The report estimates that more than one billion people now use AI-powered services each week, while frontier AI capabilities remain concentrated among a relatively small number of companies and countries. According to the panel, this concentration extends beyond AI models themselves to include computing infrastructure, specialised hardware, large-scale datasets, and technical talent, raising broader questions about equitable access to AI and the distribution of its benefits.

The panel also highlights the challenges facing developing countries, warning that many risk becoming primarily consumers rather than producers of AI technologies if investment in local infrastructure, research ecosystems, digital skills, and governance capacity does not keep pace with global developments. It identifies multilingual AI, locally relevant datasets, and stronger scientific capabilities as important factors in ensuring that AI systems better reflect diverse societies and languages rather than reinforcing existing global disparities.

Alongside these opportunities, the report identifies a range of emerging risks associated with increasingly capable AI systems. These include the use of AI for cyberattacks, fraud, disinformation, election interference, and other malicious activities, as well as broader concerns related to market concentration, transparency, and the growing dependence of many countries on a limited number of AI providers. The panel also notes that many governments currently lack the technical capacity to evaluate the most advanced frontier AI models independently.

Beyond security-related concerns, the report identifies environmental sustainability as an increasingly important governance issue. It notes that the rapid expansion of AI requires increasing amounts of computing power, electricity, water, and specialised hardware, and argues that future AI development should balance technological progress with efficient resource use and broader sustainable development objectives.

Speaking at the report’s launch, UN Secretary-General António Guterres said that the pace of AI development requires stronger international cooperation grounded in scientific evidence and inclusive dialogue.

Panel co-chair Maria Ressa described the publication as an independent scientific assessment designed to inform, rather than replace, intergovernmental decision-making. The report itself states that ‘effective AI governance requires international cooperation,’ while recognising that governance approaches will continue to reflect different national circumstances and policy priorities.

The publication marks the first major output of the Independent International Scientific Panel on AI since its establishment under the Global Digital Compact. Future reports are expected to provide regular scientific assessments of AI capabilities, impacts, and governance challenges as the technology continues to evolve.

Why does it matter?

As governments, international organisations, researchers, and industry representatives gather in Geneva next week for the inaugural Global Dialogue on AI Governance, the preliminary report is expected to provide an important reference point for discussions on the future of AI. By combining scientific evidence with a broad assessment of opportunities, risks, and governance considerations, it seeks to support a more informed international conversation on how AI can contribute to sustainable development, human rights, and shared global prosperity.

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France and WHO call for stronger safeguards for children online

French President Emmanuel Macron and World Health Organization Director-General Tedros Adhanom Ghebreyesus have called for stronger governance of digital environments to protect children’s health and well-being.

In a joint statement, they argued that social media, gaming platforms, AI and other digital services are increasingly shaping children’s physical, mental and social development.

The authors said digital technologies can support education, healthcare access, creativity and social inclusion, especially for children in remote or disadvantaged communities. However, they argued that these benefits depend on how digital services are designed, regulated and governed.

The statement warns that excessive or poorly governed digital exposure can be linked to anxiety, depression, sleep disruption, sedentary behaviour, online exploitation, harmful content and misinformation amplified by recommendation systems.

Macron and Tedros also describe generative AI as a force multiplier for both opportunity and risk. They said AI could support education, accessibility and healthcare, but warned that its long-term effects on children’s emotional development, relationships and well-being remain uncertain.

The authors pointed to growing international momentum behind child online safety measures, including age restrictions, stronger age assurance and safety-by-design standards.

They called on governments, technology companies, researchers, educators and civil society to build healthier digital ecosystems through regulation, transparency, independent research and stronger safeguards for children.

Why does it matter?

The intervention places child online safety within the language of public health. That broadens the debate beyond content moderation and screen-time advice to include platform design, recommendation systems, business models, AI deployment and digital governance. It also reflects growing international pressure for age-appropriate design, stronger age assurance and safety-by-design rules, while leaving open difficult questions about privacy, enforcement and children’s access to beneficial digital services.

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Bank of England warns agentic AI threatens financial stability

Bank of England Deputy Governor Sarah Breeden has warned that rapidly advancing AI capabilities, particularly agentic AI systems capable of autonomously carrying out complex sequences of actions, pose growing risks to financial stability.

Breeden noted that open-source AI models may trail the most advanced proprietary models by only four to eight months. She warned that delays in applying security patches can allow attackers to reverse engineer newly disclosed vulnerabilities, echoing the Five Eyes cybersecurity agencies’ assessment that the relevant timeline for AI-enabled cyber threats is measured in months rather than years.

Turning to financial markets, Breeden warned that AI trading agents responding to similar prompts or market signals could reinforce one another during periods of stress, amplifying volatility. She also cautioned that autonomous systems could drift from their original objectives or from broader public policy goals.

She said the Bank of England is working with the Bank for International Settlements Innovation Hub and Germany’s Bundesbank to simulate how different agent designs could contribute to herd behaviour. The work also explores safeguards comparable to market circuit breakers or kill switches that could halt AI-driven trading if faulty models threatened financial stability.

Breeden also highlighted the implications of agentic AI for payments, where autonomous systems could increasingly initiate transactions on behalf of users. She said this raises questions about consent, authorisation, liability for erroneous payments and interoperability as different organisations develop competing technical standards. The Bank is leading a public-private initiative to design the next generation of UK retail payments infrastructure with these emerging use cases in mind.

Breeden concluded by calling for stronger international cooperation, arguing that AI presents cross-border systemic risks comparable to those exposed during the global financial crisis. She suggested that the shared technology dependencies underpinning advanced AI warrant closer international coordination among financial authorities.

Why does it matter?

The speech reflects a growing shift in financial regulation from focusing on AI adoption to preparing for systemic AI risks. By highlighting autonomous decision-making, cyber threats and market dynamics, the Bank of England is signalling that agentic AI presents challenges that extend beyond individual firms to the stability of the financial system as a whole.

It also illustrates how central banks are beginning to rethink financial infrastructure for an AI-enabled economy. Questions around autonomous payments, liability, market safeguards and international coordination suggest that existing regulatory frameworks may need to evolve as AI agents become more capable of acting independently across financial markets and payment systems.

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Ericsson report says global 5G subscriptions pass 3 billion

Global 5G subscriptions passed 3 billion in the first quarter of 2026, according to Ericsson’s latest Mobility Report.

The report says 162 million 5G subscriptions were added during the quarter, bringing the global total to 3.1 billion. Ericsson expects 5G subscriptions to more than double to 6.4 billion by the end of 2031.

5G will also carry around half of global mobile data traffic by the end of 2025. Ericsson projects that 5G networks will account for 85% of mobile data traffic by 2031.

The report highlights the continued deployment of 5G Standalone networks and the growth of commercial network slicing services, which allow operators to offer differentiated connectivity for specific use cases.

Ericsson also points to changing traffic patterns. For many service providers, uplink traffic is already growing faster than downlink traffic, driven by collaboration tools, cloud storage and emerging services that require more data to be sent from devices to networks.

The company says AI-powered devices, augmented reality applications and connected technologies are likely to increase demand for real-time data processing and uplink capacity.

Ericsson said existing 5G networks can support early AI and extended reality services, while 6G is expected to enable larger-scale AI-native applications, with the first commercial services expected around 2030.

Why does it matter?

The report shows that 5G is becoming a core layer of digital infrastructure for AI-enabled services, cloud applications and connected devices. As AI moves from centralised data centres into devices, vehicles, workplaces and industrial systems, mobile networks will need to support higher uplink capacity, lower latency and more differentiated connectivity. Growth in 5G Standalone and network slicing also matters because these technologies give operators more tools to support specialised services, from enterprise automation to future AI and XR applications.

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OpenAI launches GeneBench-Pro for AI biology research

OpenAI has introduced GeneBench-Pro, a research benchmark designed to assess whether AI agents can perform the complex, judgment-intensive analysis required in real-world computational biology.

Unlike conventional benchmarks that focus on factual recall or routine workflows, GeneBench-Pro is designed to measure what OpenAI calls ‘research taste‘, the sequence of judgement calls involved in scientific analysis, from interpreting ambiguous data and revising assumptions to deciding whether findings are robust enough to inform downstream research.

The benchmark comprises 129 problems spanning ten domains within computational biology, including statistical genetics, cancer genomics, clinical diagnostics, and pharmacogenomics. Each problem presents an AI agent with a realistic and deliberately messy dataset, brief experimental context, and a target to estimate.

To answer correctly, the model must explore the data iteratively, select an appropriate analytical approach, and supply a final answer without exploiting shortcuts or matching arbitrary author preferences. To prevent common benchmark shortcuts, every problem uses synthetically generated data whose underlying causal structure is fully known, allowing performance to be measured against a controlled ground truth.

OpenAI said its flagship model, GPT-5.6 Sol, achieved a pass rate of 28.7% at the highest reasoning setting, increasing to 31.5% in Pro mode. By comparison, the strongest model available when the original GeneBench was introduced scored below 5%.

External reviewers estimated that completing a typical GeneBench-Pro task would require 20 to 40 hours of expert work and cost thousands of dollars, whereas AI inference currently costs only a few dollars per run. OpenAI argues this suggests substantial economic potential even before models achieve expert-level performance.

OpenAI acknowledged that frontier models still solve fewer than one-third of the benchmark problems, often making partial progress but failing to complete the full chain of scientific reasoning expected from experienced researchers. To encourage independent evaluation, the company is open-sourcing ten representative tasks on Hugging Face and providing a 50-question subset to Artificial Analysis for third-party benchmarking.

Why does it matter?

GeneBench-Pro reflects a broader shift in AI evaluation from testing factual knowledge and coding ability to assessing whether models can support complex scientific reasoning. As computational biology increasingly becomes limited by data interpretation rather than data generation, reliable AI assistance in analytical workflows could accelerate research in areas such as genomics, drug discovery and precision medicine.

The benchmark also highlights the importance of rigorous evaluation methods for frontier AI. By using controlled synthetic datasets with known ground truth, GeneBench-Pro seeks to measure not only whether models reach the correct answer but also how well they make the sequence of judgements required in real-world scientific research.

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