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"pageEnd": 16 }, { "@type": "ai:Article", "headline": "Research and Development", "description": "AI model production, compute and infrastructure, data centers, energy impact, open-source software, publications, patents, and talent.", "pageStart": 17, "pageEnd": 66 }, { "@type": "ai:Article", "headline": "Technical Performance", "description": "AI capability trends, language, image and video understanding, reasoning, domain-specific performance, AI agents, robotics, and safety.", "pageStart": 67, "pageEnd": 123 }, { "@type": "ai:Article", "headline": "Responsible AI", "description": "Responsible AI dimensions, AI incidents, benchmarks, organizational adoption, governance, data privacy, fairness, transparency, safety, and tradeoffs.", "pageStart": 124, "pageEnd": 170 }, { "@type": "ai:Article", "headline": "Economy", "description": "AI investment, corporate economics, adoption, labor demand, workforce impact, productivity, and robot deployments.", "pageStart": 171, "pageEnd": 230 }, { "@type": "ai:Article", "headline": "Science", "description": "AI in scientific research, datasets, benchmarks, foundation models, AI agents, and cross-domain scientific workflows.", "pageStart": 231, "pageEnd": 255 }, { "@type": "ai:Article", "headline": "Medicine", "description": "AI in molecular biology, clinical applications, patient engagement, and ethical considerations in medicine.", "pageStart": 256, "pageEnd": 287 }, { "@type": "ai:Article", "headline": "Education", "description": "AI and computer science education trends, student use of AI tools, K-12 policies, and AI skill acquisition.", "pageStart": 288, "pageEnd": 322 }, { "@type": "ai:Article", "headline": "Policy and Governance", "description": "Global AI policy news, national strategies, AI sovereignty, legislative records, public investment, and regulatory developments.", "pageStart": 323, "pageEnd": 359 }, { "@type": "ai:Article", "headline": "Public Opinion", "description": "Global and US public sentiment on AI, trust, optimism, workplace use, expert views, and regulatory attitudes.", "pageStart": 360, "pageEnd": 382 }, { "@type": "ai:Article", "headline": "Appendix", "description": "Methodologies, data sources, and references for AI Index report 2026.", "pageStart": 383, "pageEnd": 423 } ], "mainEntity": [ { "@type": "Question", "name": "What are the top takeaways from the AI Index Report 2026?", "acceptedAnswer": { "@type": "Answer", "text": "AI capability is accelerating and reaching more people; U.S.-China AI performance gap closed; U.S. leads in AI investment; AI adoption is historic and uneven; AI impacts labor markets and environment; AI transforming science and medicine; Responsible AI lags capability; AI education growing but uneven; Policy and governance expanding globally; Public optimism and nervousness coexist." } }, { "@type": "Question", "name": "How is AI model development distributed globally?", "acceptedAnswer": { "@type": "Answer", "text": "AI model development is concentrated in the U.S. and China, with the U.S. leading in notable models and China leading in publication volume and patents. Open-source development is growing globally, redistributing participation." } }, { "@type": "Question", "name": "What are the trends in AI compute and infrastructure?", "acceptedAnswer": { "@type": "Answer", "text": "AI compute capacity has grown rapidly, with Nvidia dominating chip supply. The U.S. hosts most AI data centers, but global supply chains depend heavily on a single Taiwanese foundry. AI’s environmental footprint is increasing." } }, { "@type": "Question", "name": "What is the state of responsible AI benchmarking?", "acceptedAnswer": { "@type": "Answer", "text": "Responsible AI benchmarking is increasing but sparse. Hallucination rates vary widely among models. Organizations are formalizing responsible AI but face knowledge and budget gaps. Safety remains a challenge, with tradeoffs across fairness, privacy, and accuracy." } }, { "@type": "Question", "name": "How is AI impacting the economy and labor markets?", "acceptedAnswer": { "@type": "Answer", "text": "Global AI investment more than doubled in 2025, led by generative AI. AI adoption is rapid but uneven. Labor demand for AI skills is rising, with employment declines among younger workers in exposed occupations. Productivity gains are measurable but uneven." } }, { "@type": "Question", "name": "What is the role of AI in science and medicine?", "acceptedAnswer": { "@type": "Answer", "text": "AI is transforming scientific research workflows and medicine, with advances in protein modeling, virtual cell models, clinical AI tools, and AI-powered diagnostics. Clinical evidence and experimental validation remain limited." } }, { "@type": "Question", "name": "What are the trends in AI education?", "acceptedAnswer": { "@type": "Answer", "text": "AI-related postsecondary degrees are growing, especially in software fields, but gender and racial gaps persist. K-12 AI education is emerging but uneven, with widespread student use of AI tools despite limited policies and teacher training." } }, { "@type": "Question", "name": "How are governments responding to AI policy and governance?", "acceptedAnswer": { "@type": "Answer", "text": "National AI strategies are expanding globally, especially in emerging economies. AI sovereignty is a central policy theme. Legislative activity is growing, with diverse approaches to data, compute, and model sovereignty. Public investment is modest compared to private." } }, { "@type": "Question", "name": "What are public perceptions of AI globally and in the U.S.?", "acceptedAnswer": { "@type": "Answer", "text": "Public optimism about AI benefits is rising alongside nervousness. Southeast Asia is most optimistic and trusting. The U.S. public is more pessimistic than AI experts, especially on jobs and economy. Trust in government regulation varies widely." } }, { "@type": "Question", "name": "What are the main challenges in AI benchmarking?", "acceptedAnswer": { "@type": "Answer", "text": "Benchmarks face saturation, reliability, and contamination issues. Newer benchmarks test human-AI collaboration and interactive tasks. Benchmarking of responsible AI dimensions is limited and inconsistent." } } ], "hasDefinedTermSet": { "@type": "DefinedTermSet", "name": "AI Index 2026 Defined Terms", "description": "Key terms defined in the AI Index 2026 report across AI capabilities, responsible AI, economy, science, medicine, education, and policy.", "hasDefinedTerm": [ { "@type": "DefinedTerm", "name": "AI Capability", "description": "The measurable technical performance and functional abilities of AI systems." }, { "@type": "DefinedTerm", "name": "Responsible AI", "description": "Practices and governance to ensure AI systems are safe, fair, transparent, and accountable." }, { "@type": "DefinedTerm", "name": "AI Sovereignty", "description": "A nation's capacity to control AI infrastructure, data, models, applications, and talent." }, { "@type": "DefinedTerm", "name": "Generative AI", "description": "AI systems that generate content such as text, images, or code." }, { "@type": "DefinedTerm", "name": "AI Agent", "description": "AI systems that autonomously perform tasks by interacting with tools and environments." }, { "@type": "DefinedTerm", "name": "AI Adoption", "description": "The extent to which AI systems are used across organizations, sectors, and populations." }, { "@type": "DefinedTerm", "name": "AI Talent", "description": "Individuals with skills and expertise in AI development, deployment, and governance." }, { "@type": "DefinedTerm", "name": "AI Benchmark", "description": "Standardized tests and evaluations used to measure AI system performance." }, { "@type": "DefinedTerm", "name": "AI Incident", "description": "Documented cases where AI systems caused or nearly caused harm." }, { "@type": "DefinedTerm", "name": "AI Consumer Surplus", "description": "The estimated economic value consumers derive from using AI tools." } ] }, "hasPart": [ { "@type": "HowTo", "name": "How to Cite the AI Index Report 2026", "description": "Proper citation format for referencing the AI Index Report 2026.", "hasPart": [ { "@type": "HowToStep", "position": 1, "name": "Use full author list", "text": "Include all authors as listed in the report." }, { "@type": "HowToStep", "position": 2, "name": "Include report title", "text": "Use 'The AI Index 2026 Annual Report' as the title." }, { "@type": "HowToStep", "position": 3, "name": "Add publisher and date", "text": "Include Stanford Institute for Human-Centered AI and April 2026." }, { "@type": "HowToStep", "position": 4, "name": "Add license information", "text": "Note the report is licensed under Attribution-NoDerivatives 4.0 International." } ] } ] }