As AI governance moves towards operational deployment, venture capital investment is concentrating more and more in AI firms. The India AI Impact Summit 2026 convened at a moment of accelerated AI deployment. Governments and industry leaders are moving beyond experimentation toward integrating advanced AI systems across strategic sectors, consumer services and public administration. In this newsletter, revisit OECD–GPAI engagement at the India AI Impact Summit 2026, including: 🔹 New data on AI venture capital investments 🔹 Scenario-based foresight on AI trajectories through 2030 🔹 Trends in AI incidents and hazards reported by the media 🔹 The OECD.AI Index technical paper 🔹 Open source tools for trustworthy AI 🔹 AI for resilient and inclusive food systems ð—¥ð—²ð—®ð—± ð˜ð—µð—² ð—³ð˜‚ð—¹ð—¹ ð—»ð—²ð˜„ð˜€ð—¹ð—²ð˜ð˜ð—²ð—¿ ð—¯ð—²ð—¹ð—¼ð˜„. #TrustworthyAI #AIpolicy #OECD #VentureCapital #AIInvestment #OECDAI
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Visit our blog, the AI Wonk: https://oecd.ai/wonk/ The OECD AI Policy Observatory is a tool at the disposal of governments and businesses that they can use to implement the first intergovernmental standard on AI: the OECD AI Principles. The OECD AI Principles focus on how governments and other actors can shape a human-centric approach to trustworthy AI. The Observatory includes a blog for its group of international AI experts (ONE AI) to discuss issues related to defining AI and how to implement the OECD Principles. OECD countries adopted the standards in May 2019, along with a range of partner economies. The OECD AI Principles provided the basis for the G20 AI Principles endorsed by Leaders in June 2019. OECD.AI combines resources from across the OECD, its partners and all stakeholder groups. OECD.AI facilitates dialogue between stakeholders while providing multidisciplinary, evidence-based policy analysis in the areas where AI has the most impact. As an inclusive platform for public policy on AI – the OECD AI Policy Observatory is oriented around three core attributes: Multidisciplinarity The Observatory works with policy communities across and beyond the OECD – from the digital economy and science and technology policy, to employment, health, consumer protection, education and transport policy – to consider the opportunities and challenges posed by current and future AI developments in a coherent, holistic manner. Evidence-based analysis The Observatory provides a centre for the collection and sharing of evidence on AI, leveraging the OECD’s reputation for measurement methodologies and evidence-based analysis. Global multi-stakeholder partnerships The Observatory engages governments and a wide spectrum of stakeholders – including partners from the technical community, the private sector, academia, civil society and other international organisations – and provides a hub for dialogue and collaboration.
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The 2026 Global Partnership on AI (#GPAI) Council Meeting in New Delhi marked an important step forward in strengthening international co-operation on human-centric and trustworthy #AI.  Under the leadership of our co-chairs, Josephine Teo of Singapore and Kyunghoon Bae of Korea, members of GPAI reaffirmed their commitment to advancing AI that supports inclusive growth, innovation, safety and democratic values.  The Partnership also warmly welcomed Malta and Saudi Arabia as new GPAI members. Their participation strengthens our collective capacity to shape AI policies that are globally relevant and practically grounded. With thanks to India and the organisers of the #IndiaAIImpactSummit2026 for hosting this ministerial meeting and for fostering constructive dialogue at a pivotal moment for AI governance.  At the #OECD, we remain committed to supporting governments with evidence-based analysis and international standards to ensure AI works for people and societies.  Read the full Co-Chairs’ Summary Statement — link in the comments.  #OECDAIÂ
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What does meaningful progress on AI standards actually look like? The preliminary agenda for the AI Standards Hub Global Summit (16–17 March 2026) is now available. The agenda highlights the growing importance of international cooperation on AI measurement, standards and assurance. As a partner in the Summit, the #OECD is contributing to discussions on how standards can be translated from high-level principles into practical implementation. Over two days in Glasgow and online, participants will examine: • How AI standards and assurance mechanisms can strengthen trust in AI systems • Emerging approaches to measurement and conformity assessment • Ways to improve international coordination across governments, industry and standards bodies For the OECD, this work directly connects to the implementation of the #OECDAIPrinciples and to our broader efforts to support evidence-based AI governance. If you are working on #AIPolicy, technical standards, or AI assurance, the agenda offers a useful overview of where global discussions are heading. 🔗 ð—¦ð—²ð—² ð˜ð—µð—² ð—³ð˜‚ð—¹ð—¹ ð—½ð—¿ð—¼ð—´ð—¿ð—®ð—ºð—ºð—² ð—®ð—»ð—± ð—¿ð—²ð—´ð—¶ð˜€ð˜ð—²ð—¿ ð˜ƒð—¶ð—® ð˜ð—µð—² ð—¹ð—¶ð—»ð—¸ ð—¶ð—» ð˜ð—µð—² ð—°ð—¼ð—ºð—ºð—²ð—»ð˜ð˜€. United Nations Human Rights The Data Lab - Innovation Centre BSI National Physical Laboratory (NPL) UKAS Responsible Ai UK #AIStandards #TrustworthyAI #AIGovernance #OECDAI
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ð—–ð—®ð—» ð—°ð—¼ð—ºð—½ð—®ð—»ð—¶ð—²ð˜€ ð—¶ð—»ð—»ð—¼ð˜ƒð—®ð˜ð—² ð˜„ð—¶ð˜ð—µ ð—”𗜠ð—®ð˜ ð˜€ð—½ð—²ð—²ð—± ð˜„ð—µð—¶ð—¹ð—² ð—²ð—®ð—¿ð—»ð—¶ð—»ð—´ ð˜ð—¿ð˜‚ð˜€ð˜ ð—®ð—°ð—¿ð—¼ð˜€ð˜€ ð—´ð—¹ð—¼ð—¯ð—®ð—¹ ð—ºð—®ð—¿ð—¸ð—²ð˜ð˜€? In this AI Wonk blog, Rashad Abelson and Barbara Bijelic examine why responsible AI is no longer optional for businesses operating across borders. As AI advances faster than its guardrails, companies face growing pressure to manage risks across the entire AI value chain, from data, labour and environmental impacts to privacy, misinformation and deepfakes. ð—§ð—µð—² ð—¢ð—˜ð—–ð——’𘀠ð—»ð—²ð˜„ ð——ð˜‚ð—² ð——ð—¶ð—¹ð—¶ð—´ð—²ð—»ð—°ð—² ð—šð˜‚ð—¶ð—±ð—®ð—»ð—°ð—² ð—³ð—¼ð—¿ ð—¥ð—²ð˜€ð—½ð—¼ð—»ð˜€ð—¶ð—¯ð—¹ð—² ð—”𗜠offers the first internationally agreed, government-backed framework to help enterprises identify, prevent and address AI-related risks. Grounded in the OECD AI Principles and the OECD Guidelines for Multinational Enterprises, it provides: 🔹 A step-by-step due diligence framework 🔹 A whole-of-value-chain approach 🔹 Alignment with evolving global AI risk management standards 🔹 Practical implementation examples for businesses For firms seeking a competitive advantage, responsible and trustworthy AI is becoming a market differentiator. 🔗 ð—¥ð—²ð—®ð—± ð˜ð—µð—² ð—³ð˜‚ð—¹ð—¹ ð—¯ð—¹ð—¼ð—´ ð—½ð—¼ð˜€ð˜ ð—¶ð—» ð˜ð—µð—² ð—°ð—¼ð—ºð—ºð—²ð—»ð˜ð˜€ ð—¯ð—²ð—¹ð—¼ð˜„ 👇 #OECD #ResponsibleBusinessConduct #AI #SupplyChains #OECDAI #TheAIWonk #OECDAIPrinciples
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ð—›ð—¼ð˜„ ð—°ð—®ð—» ð—”𗜠ð˜€ð˜ð—¿ð—²ð—»ð—´ð˜ð—µð—²ð—» ð—¶ð—»ð—°ð—¹ð˜‚ð˜€ð—¶ð˜ƒð—² ð—®ð—»ð—± ð—¿ð—²ð˜€ð—¶ð—¹ð—¶ð—²ð—»ð˜ ð—³ð—¼ð—¼ð—± ð˜€ð˜†ð˜€ð˜ð—²ð—ºð˜€? At the India AI Impact Summit 2026, the OECD - OCDE and the Government of the Netherlands will convene policymakers, OECD experts and academics to explore how artificial intelligence can support more transparent, responsible and sustainable agricultural value chains. ð—œð—³ ð˜†ð—¼ð˜‚ ð—®ð—¿ð—² ð—®ð˜ð˜ð—²ð—»ð—±ð—¶ð—»ð—´ ð˜ð—µð—² ð—¦ð˜‚ð—ºð—ºð—¶ð˜, ð—·ð—¼ð—¶ð—» ð˜‚𘀠ð—¼ð—» ð—™ð—²ð—¯ð—¿ð˜‚ð—®ð—¿ð˜† ðŸ®ðŸ¬. Opening remarks: 🔹 H.E. Mr. Harry Verweij, Ambassador at Large and Special Envoy AI for the Kingdom of the Netherlands 🔹 Ms. Audrey Plonk, Deputy Director, OECD Directorate for Science, Technology and Innovation Moderated by: 🔹 Ms. Sara Rendtorff-Smith, OECD Head of Division, AI and Emerging Digital Technologies Panellists: 🔹 H.E. Mr. Nezar Patria, Vice Minister of Communications and Digital Affairs of the Republic of Indonesia 🔹 Mr. Dejan Jakovljevic, Chief Information Officer (CIO) and the Director of Digital FAO and Agro-Informatics Division of the Food and Agriculture Organization of the United Nations (FAO) 🔹 Ms. Debjani Ghosh, Distinguished Fellow, NITI Aayog | Chief Architect, NITI Frontier Tech Hub 🔹 Dr. Arun Pratihast, Senior Researcher, Wageningen University Environmental Research ð—¥ð—²ð—´ð—¶ð˜€ð˜ð—²ð—¿ ð—®ð˜ ð˜ð—µð—² ð—¹ð—¶ð—»ð—¸ ð—¶ð—» ð˜ð—µð—² ð—°ð—¼ð—ºð—ºð—²ð—»ð˜ð˜€ ð—¯ð—²ð—¹ð—¼ð˜„  #OECDAI #FoodSystems #Agriculture #IndiaAIActionSummit2026
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ð—”𗜠ð—¶ð˜€ ð˜ð—®ð—¸ð—¶ð—»ð—´ ð—¼ð˜ƒð—²ð—¿ ð˜ƒð—²ð—»ð˜ð˜‚ð—¿ð—² ð—°ð—®ð—½ð—¶ð˜ð—®ð—¹ — ð—¯ð˜‚ð˜ ð—µð—¼ð˜„ ð—³ð—®ð˜€ð˜, ð—®ð—»ð—± ð˜„ð—µð—²ð—¿ð—²? ð—œð—» ðŸ®ðŸ¬ðŸ®ðŸ±, ð—°ð—¼ð—ºð—½ð—®ð—»ð—¶ð—²ð˜€ ð—±ð—²ð˜ƒð—²ð—¹ð—¼ð—½ð—¶ð—»ð—´ ð—”𗜠ð˜ð—²ð—°ð—µð—»ð—¼ð—¹ð—¼ð—´ð—¶ð—²ð˜€ ð—°ð—®ð—½ð˜ð˜‚ð—¿ð—²ð—± ðŸ²ðŸ % ð—¼ð—³ ð—®ð—¹ð—¹ ð—´ð—¹ð—¼ð—¯ð—®ð—¹ ð˜ƒð—²ð—»ð˜ð˜‚ð—¿ð—² ð—°ð—®ð—½ð—¶ð˜ð—®ð—¹ ð—³ð˜‚ð—»ð—±ð—¶ð—»ð—´ — roughly USD 258.7 billion out of USD 427.1 billion in total VC deals worldwide — a share that has more than doubled since 2022. ð—šð—²ð—»ð—²ð—¿ð—®ð˜ð—¶ð˜ƒð—² ð—”𗜠ð—®ð—¹ð—¼ð—»ð—² ð—®ð—°ð—°ð—¼ð˜‚ð—»ð˜ð—²ð—± ð—³ð—¼ð—¿ ð—® ð˜€ð—¹ð—¶ð—°ð—² ð—¼ð—³ ð—³ð˜‚ð—»ð—±ð—¶ð—»ð—´ ð˜ð—µð—®ð˜ ð—¿ð—¼ð˜€ð—² from about 2% of AI VC in 2022 ð˜ð—¼ ðŸðŸ°% ð—¶ð—» ðŸ®ðŸ¬ðŸ®ðŸ±, totalling ð—¨ð—¦ð—— ðŸ¯ðŸ±.🯠ð—¯ð—¶ð—¹ð—¹ð—¶ð—¼ð—». 🌠ð—§ð—µð—² ð—¨ð—»ð—¶ð˜ð—²ð—± ð—¦ð˜ð—®ð˜ð—²ð˜€ ð—°ð—¼ð—»ð˜ð—¶ð—»ð˜‚ð—²ð˜€ ð˜ð—¼ ð—±ð—¼ð—ºð—¶ð—»ð—®ð˜ð—² ð˜ð—µð—² ð—³ð—¶ð—²ð—¹ð—±, attracting around 75 % of AI VC deal value — far ahead of the EU, China, and the UK — while “mega deals†over USD 100 million now make up around 73 % of total AI investment, signalling increasing concentration of capital. These insights come from the latest OECD policy brief, which uses Preqin data via the OECD.AI Policy Observatory to track trends in venture capital flowing into AI firms through the end of 2025. 🔠From global funding patterns to shifts in where and how VCs are backing AI-enabled innovation, this brief is essential for policymakers, investors and innovation leaders trying to understand the dynamics shaping the future of AI ecosystems. 👉 ð—¥ð—²ð—®ð—± ð˜ð—µð—² ð—³ð˜‚ð—¹ð—¹ ð—½ð—¼ð—¹ð—¶ð—°ð˜† ð—¯ð—¿ð—¶ð—²ð—³ — ð—¹ð—¶ð—»ð—¸ ð—¶ð—» ð˜ð—µð—² ð—°ð—¼ð—ºð—ºð—²ð—»ð˜ð˜€ ð—¯ð—²ð—¹ð—¼ð˜„. Francesca Rossi Amir Banifatemi Joanna Shields Mohamed Nanabhay Wan Sie LEE #OECDAI #VentureCapital #ArtificialIntelligence #GenerativeAI
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ð—™ð—¶ð—»ð—± ð—¢ð—˜ð—–ð——.ð—”𗜠ð—®ð˜ ð˜ð—µð—² ð—œð—»ð—±ð—¶ð—® ð—”𗜠ð—œð—ºð—½ð—®ð—°ð˜ ð—¦ð˜‚ð—ºð—ºð—¶ð˜ As the global policy discussion on artificial intelligence increasingly turns to implementation, the OECD is contributing to the India AI Impact Summit in New Delhi, focusing on practical approaches that support inclusive growth, resilience, and sustainable development. In our latest newsletter, we set out how the OECD and its Global Partnership on AI are providing evidence, policy tools and open discussions that address current priorities. The Summit provides an opportunity to examine how AI systems are applied in areas such as public services, labour markets and food systems across diverse national contexts. ð—¥ð—²ð—®ð—± ð˜ð—µð—² ð—»ð—²ð˜„ð˜€ð—¹ð—²ð˜ð˜ð—²ð—¿ ð˜ð—¼ ð—²ð˜…ð—½ð—¹ð—¼ð—¿ð—² ð˜ð—µð—² ð—¢ð—˜ð—–ð——’𘀠ð—®ð—´ð—²ð—»ð—±ð—®, events and resources at the New Delhi Summit. ð—™ð—¼ð—¹ð—¹ð—¼ð˜„ ð—¢ð—˜ð—–ð——.ð—”𗜠ð—¼ð—» ð—Ÿð—¶ð—»ð—¸ð—²ð—±ð—œð—» for updates and insights as the Summit approaches. #OECDAI #IndiaAIImpactSummit2026 #TrustworthyAI #AIPolicy
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ð—§ð—¿ð˜‚ð˜€ð˜ ð—¶ð—» ð—”𗜠ð—±ð—¼ð—²ð˜€ð—»â€™ð˜ ð—²ð—ºð—²ð—¿ð—´ð—² ð—®ð˜‚ð˜ð—¼ð—ºð—®ð˜ð—¶ð—°ð—®ð—¹ð—¹ð˜† — ð—¶ð˜ ð—±ð—²ð—½ð—²ð—»ð—±ð˜€ ð—¼ð—» ð˜ð—µð—² ð—½ð—²ð—¼ð—½ð—¹ð—² ð—¯ð˜‚ð—¶ð—¹ð—±ð—¶ð—»ð—´ ð—®ð—»ð—± ð˜€ð—µð—®ð—¿ð—¶ð—»ð—´ ð˜ð—µð—² ð—¿ð—¶ð—´ð—µð˜ ð˜ð—¼ð—¼ð—¹ð˜€. And open-source tools are a critical part of that process. Across the AI ecosystem, developers and researchers are building open-source solutions that assess safety, measure risks, document systems, and strengthen accountability. ð—§ð—¼ ð—¯ð—² ð—²ð—³ð—³ð—²ð—°ð˜ð—¶ð˜ƒð—², ð˜ð—µð—²ð˜€ð—² ð˜ð—¼ð—¼ð—¹ð˜€ ð—ºð˜‚ð˜€ð˜ ð—¯ð—² ð—®ð—°ð—°ð—²ð˜€ð˜€ð—¶ð—¯ð—¹ð—². ð—ªð—² ð—®ð—¿ð—² ð—»ð—¼ð˜„ ð—¶ð—»ð˜ƒð—¶ð˜ð—¶ð—»ð—´ ð˜€ð˜‚ð—¯ð—ºð—¶ð˜€ð˜€ð—¶ð—¼ð—»ð˜€ ð—¼ð—³ ð—¼ð—½ð—²ð—»-ð˜€ð—¼ð˜‚ð—¿ð—°ð—² ð˜ð—¼ð—¼ð—¹ð˜€ ð˜ð—¼ ð˜ð—µð—² ð—¢ð—˜ð—–ð——.ð—”𗜠ð—–ð—®ð˜ð—®ð—¹ð—¼ð—´ð˜‚ð—² ð—¼ð—³ ð—§ð—¼ð—¼ð—¹ð˜€ & ð— ð—²ð˜ð—¿ð—¶ð—°ð˜€ ð—³ð—¼ð—¿ ð—§ð—¿ð˜‚ð˜€ð˜ð˜„ð—¼ð—¿ð˜ð—µð˜† ð—”ð—œ. We encourage you to submit open-source AI tools for consideration that support: • evaluation of AI safety or robustness • security testing and risk monitoring • transparency, documentation and auditing • measurement of performance and impact ðŸ—“ï¸ If you submit them by 31 March they will be eligible for promotion across our public channels!  🔗 ð—¦ð˜‚ð—¯ð—ºð—¶ð˜€ð˜€ð—¶ð—¼ð—» ð—±ð—²ð˜ð—®ð—¶ð—¹ð˜€ ð—¶ð—» ð˜ð—µð—² ð—°ð—¼ð—ºð—ºð—²ð—»ð˜ð˜€ Help us to enrich the global trustworthy AI ecosystem. A big thanks to our partners: Mozilla, AI Security Institute Mistral AI Roost Audrey Herblin-Stoop, Mark Surman Adam B. Oliver Jones Anne Bertucio Camille Françoise #OpenSourceAI #TrustworthyAI #AIPolicy #OpenSource #OECDAI #OECDAI #CallforSubmissions
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ð—¦ð—”ð—©ð—˜ ð—§ð—›ð—˜ ð——ð—”ð—§ð—˜! ðŸ®ðŸ¬ ð—™ð—²ð—¯ð—¿ð˜‚ð—®ð—¿ð˜† ðŸ®ðŸ¬ðŸ®ðŸ², ðŸ®:ðŸ¯ðŸ¬ – ðŸ¯:ðŸ¯ðŸ¬ ð—½ð—º (ð—œð—¦ð—§) ð—§ð—µð—² ð—žð—¶ð—»ð—´ð—±ð—¼ð—º ð—¼ð—³ ð˜ð—µð—² ð—¡ð—²ð˜ð—µð—²ð—¿ð—¹ð—®ð—»ð—±ð˜€ and the ð—¢ð—˜ð—–ð—— are pleased to invite you to ð—®ð—» ð—¶ð—»-ð—½ð—²ð—¿ð˜€ð—¼ð—» ð—³ð—¹ð—®ð—´ð˜€ð—µð—¶ð—½ ð—²ð˜ƒð—²ð—»ð˜ ð—®ð˜ ð˜ð—µð—² ð—œð—»ð—±ð—¶ð—® ð—”𗜠ð—œð—ºð—½ð—®ð—°ð˜ ð—¦ð˜‚ð—ºð—ºð—¶ð˜ ðŸ®ðŸ¬ðŸ®ðŸ², focused on the role of Artificial Intelligence in strengthening the sustainability, inclusiveness and resilience of global food systems. ð—œð—»ð˜ð—¿ð—¼ð—±ð˜‚ð—°ð˜ð—¼ð—¿ð˜† ð—¿ð—²ð—ºð—®ð—¿ð—¸ð˜€ ð˜ð—¼ ð—¶ð—»ð—°ð—¹ð˜‚ð—±ð—² ð—±ð—¶ð˜€ð˜ð—¶ð—»ð—´ð˜‚ð—¶ð˜€ð—µð—²ð—± ð˜€ð—½ð—²ð—®ð—¸ð—²ð—¿ð˜€: Welcome remarks: Audrey Plonk, OECD Deputy Director, Science, Technology and Innovation #OECD ð—›.ð—˜. Harry Verweij, Ambassador at Large and Special Envoy AI for the Kingdom of the #Netherlands Moderated by Audrey Plonk, OECD Head of Artificial Intelligence and Emerging Ecomomies Unit, OECD This session leverages the work of the India AI Impact Summit Working Group on Economic Growth and Social Good, co-chaired by the Netherlands and Indonesia. It explores how AI can support the transition toward more transparent, responsible, and inclusive agricultural production and distribution as part of food systems. Discussions will draw on national initiatives and concrete use cases to highlight practical and scalable approaches for improving data sharing, interoperability, risk management and access to high-quality agricultural data. ð—žð—²ð˜† ð˜ð—µð—²ð—ºð—²ð˜€ ð—³ð—¼ð—¿ ð˜ð—µð—² ð—½ð—®ð—»ð—²ð—¹ ð—±ð—¶ð˜€ð—°ð˜‚ð˜€ð˜€ð—¶ð—¼ð—» ð—¶ð—»ð—°ð—¹ð˜‚ð—±ð—²: 🔹 Democratising AI benefits across food systems; 🔹 Enabling policies and data infrastructure for agricultural innovation; 🔹 Implementing and scaling sustainable AI solutions worldwide; 🔹 Strengthening partnerships among national governments, multilateral organisations, agribusiness, farmers, civil society, researchers, innovative SMEs and technology providers. The panellists will identify actionable pathways to ensure that AI fosters innovation and meaningful participation by all stakeholders in global food systems. We look forward to your participation and to an engaging discussion on advancing trustworthy and inclusive AI for food systems worldwide. ð—¥ð—²ð—´ð—¶ð˜€ð˜ð—¿ð—®ð˜ð—¶ð—¼ð—» (both required) ð—œð—»ð—±ð—¶ð—® ð—”𗜠ð—œð—ºð—½ð—®ð—°ð˜ ð—¦ð˜‚ð—ºð—ºð—¶ð˜ ð—¥ð—²ð—´ð—¶ð˜€ð˜ð—¿ð—®ð˜ð—¶ð—¼ð—»: https://lnkd.in/g2rs5tRv ð—™ð—²ð—¯ð—¿ð˜‚ð—®ð—¿ð˜† ðŸ®ðŸ¬ð˜ð—µ ð—¥ð—²ð—´ð—¶ð˜€ð˜ð—¿ð—®ð˜ð—¶ð—¼ð—»: https://lnkd.in/gVxiXxcz 📠Venue: Room 18 Bharat Mandapam Convention Centre, New Delhi, India Main Building, Level 1, Meeting Room No. 18, Near Gate 7 #IndiaAIImpactSummit2026 #ResponsibleAI #PeoplePlanetProgress #OECDAI Government of the Netherlands Marjoleine Hennis Ph.D Sara Rendtorff-Smith Celine Caira Lucia Russo
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ð—ªð—µð—®ð˜ ð—°ð—¼ð˜‚ð—¹ð—± ð—”𗜠ð—¹ð—¼ð—¼ð—¸ ð—¹ð—¶ð—¸ð—² ð—¯ð˜† ðŸ®ðŸ¬ðŸ¯ðŸ¬ — ð—®ð—»ð—± ð˜„ð—µð—®ð˜ ð˜€ð—µð—¼ð˜‚ð—¹ð—± ð—½ð—¼ð—¹ð—¶ð—°ð˜†ð—ºð—®ð—¸ð—²ð—¿ð˜€ ð—½ð—¿ð—²ð—½ð—®ð—¿ð—² ð—³ð—¼ð—¿? The OECD has just published a new report outlining four plausible AI capability scenarios through 2030, intended to help governments and institutions think rigorously about uncertainty rather than make single predictions. The four scenarios for progress in AI are as follows: 1ï¸âƒ£ ð—¦ð˜ð—®ð—¹ð—¹ð˜€ – Progress in AI capability largely stops. Technical, economic or data constraints stall advances, and we see only incremental improvements in narrow applications. 2ï¸âƒ£ ð—¦ð—¹ð—¼ð˜„𘀠– AI continues to improve, but the rate of advancement eases meaningfully relative to recent years. Breakthroughs become harder to achieve, and overall capability growth flattens. 3ï¸âƒ£ ð—–ð—¼ð—»ð˜ð—¶ð—»ð˜‚ð—²ð˜€ – The recent pace of capability gains broadly holds. In this scenario, AI systems routinely perform well-scoped software engineering and other specialised tasks that currently take humans days to complete. 4ï¸âƒ£ ð—”ð—°ð—°ð—²ð—¹ð—²ð—¿ð—®ð˜ð—²ð˜€ – Progress picks up speed, potentially because AI systems increasingly assist in their own development. This could lead to faster improvements across many domains and capabilities, rivalling or exceeding human performance. These structured scenarios are designed to support strategic preparedness across diverse possible futures. They also served as a core analytical input to the International AI Safety Report 2026, chaired by Yoshua Bengio, helping frame discussions on emerging risks at the frontier of AI capabilities. As Prof. Bengio has noted: “𘈠ð˜¸ð˜ªð˜´ð˜¦ ð˜´ð˜µð˜³ð˜¢ð˜µð˜¦ð˜¨ð˜º, ð˜¸ð˜©ð˜¦ð˜µð˜©ð˜¦ð˜³ ð˜ºð˜°ð˜¶'ð˜³ð˜¦ ð˜ªð˜¯ ð˜¨ð˜°ð˜·ð˜¦ð˜³ð˜¯ð˜®ð˜¦ð˜¯ð˜µ ð˜°ð˜³ ð˜ªð˜¯ ð˜£ð˜¶ð˜´ð˜ªð˜¯ð˜¦ð˜´ð˜´, ð˜ªð˜´ ð˜µð˜° ð˜±ð˜³ð˜¦ð˜±ð˜¢ð˜³ð˜¦ ð˜§ð˜°ð˜³ ð˜¢ð˜ð˜ ð˜µð˜©ð˜¦ ð˜±ð˜ð˜¢ð˜¶ð˜´ð˜ªð˜£ð˜ð˜¦ ð˜´ð˜¤ð˜¦ð˜¯ð˜¢ð˜³ð˜ªð˜°ð˜´.†That means building governance frameworks that are robust, adaptive and ready for diverse outcomes. 📘 ð—¥ð—²ð—®ð—± ð˜ð—µð—² ð—¢ð—˜ð—–ð—— ð—¿ð—²ð—½ð—¼ð—¿ð˜ to explore the scenarios in depth – 🔗 link in the comments below. 💬 ð—ªð—µð—¶ð—°ð—µ ð˜€ð—°ð—²ð—»ð—®ð—¿ð—¶ð—¼ ð˜€ð—µð—¼ð˜‚ð—¹ð—± ð—½ð—¼ð—¹ð—¶ð—°ð˜†ð—ºð—®ð—¸ð—²ð—¿ð˜€ ð—½ð—¿ð—¶ð—¼ð—¿ð—¶ð˜ð—¶ð˜€ð—² ð—½ð—¿ð—²ð—½ð—®ð—¿ð—¶ð—»ð—´ ð—³ð—¼ð—¿ ð˜ð—¼ð—±ð—®ð˜†? Tell us in the comments. #AI #AIScenarios #AIGovernance #AISafety #OECD #ResponsibleAI AI Security Institute Department for Science, Innovation and Technology OECD - OCDE
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