Artificial Intelligence Index Report 2025
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Abstract (arXiv)
Welcome to the eighth edition of the AI Index report. The 2025 Index is our most comprehensive to date and arrives at an important moment, as AI's influence across society, the economy, and global governance continues to intensify. New in this year's report are in-depth analyses of the evolving landscape of AI hardware, novel estimates of inference costs, and new analyses of AI publication and patenting trends. We also introduce fresh data on corporate adoption of responsible AI practices, along with expanded coverage of AI's growing role in science and medicine. Since its founding in 2017 as an offshoot of the One Hundred Year Study of Artificial Intelligence, the AI Index has been committed to equipping policymakers, journalists, executives, researchers, and the public with accurate, rigorously validated, and globally sourced data. Our mission has always been to help these stakeholders make better-informed decisions about the development and deployment of AI. In a world where AI is discussed everywhere - from boardrooms to kitchen tables - this mission has never been more essential. The AI Index continues to lead in tracking and interpreting the most critical trends shaping the field - from the shifting geopolitical landscape and the rapid evolution of underlying technologies, to AI's expanding role in business, policymaking, and public life. Longitudinal tracking remains at the heart of our mission. In a domain advancing at breakneck speed, the Index provides essential context - helping us understand where AI stands today, how it got here, and where it may be headed next. Recognized globally as one of the most authoritative resources on artificial intelligence, the AI Index has been cited in major media outlets such as The New York Times, Bloomberg, and The Guardian; referenced in hundreds of academic papers; and used by policymakers and government agencies around the world.
Key facts. Cited by 64 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Apr 2025.
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Citing papers per year: 2025: 18; 2026: 46.
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- 2025Don't Pass@k: A Bayesian Framework for Large Language Model Evaluationcited by 15
- 2025TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Controlcited by 14
- 2025The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperationcited by 13
- 2026Generative Visual Code Mobile World Modelscited by 13
- 2025Position: The Real Barrier to LLM Agent Usability is Agentic ROIcited by 12
- 2026GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Modelscited by 11
- 2026The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?cited by 10
- 2025LLM Fingerprinting via Semantically Conditioned Watermarkscited by 9
- 2025Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agentscited by 7
- 2026Interpretability Can Be Actionablecited by 7
- 2025Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usagecited by 5
- 2025State over Tokens: Characterizing the Role of Reasoning Tokenscited by 5
38 more
- 2026Social physics in the age of artificial intelligencecited by 5
- 2025NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimationcited by 4
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluationscited by 4
- 2026Artificial intelligence is creating a new global linguistic hierarchycited by 3
- 2026This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMscited by 3
- 2026mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFTcited by 3
- 2026CRAFT: Grounded Multi-Agent Coordination Under Partial Informationcited by 3
- 2026Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Modelscited by 3
- 2025Rethinking Evidence Hierarchies in Medical Language Benchmarks: A Critical Evaluation of HealthBenchcited by 2
- 2025The Mathematician's Assistant: Integrating AI into Research Practicecited by 2
- 2025Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systemscited by 2
- 2026AI as Entertainmentcited by 2
- 2026Routing, Cascades, and User Choice for LLMscited by 2
- 2026Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rulescited by 2
- 2026The ATOM Report: Measuring the Open Language Model Ecosystemcited by 2
- 2026SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attackscited by 2
- 2025Dimensional Characterization and Pathway Modeling for Catastrophic AI Riskscited by 1
- 2025Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeedcited by 1
- 2026Universal computation is intrinsic to language model decodingcited by 1
- 2026Are AI Capabilities Increasing Exponentially? A Competing Hypothesiscited by 1
- 2026Lemon Agent Technical Reportcited by 1
- 2026SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testingcited by 1
- 2026Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelinescited by 1
- 2026Behavioral Consistency and Transparency Analysis on Large Language Model API Gatewayscited by 1
- 2025Pruning Everything, Everywhere, All at Oncecited by 0
- 2025Limitations on Accurate, Trusted, Human-level Reasoningcited by 0
- 2025Artificial Intelligence Applications in Horizon Scanning for Infectious Diseasescited by 0
- 2026Selecting Language Models for Social Science: Start Small, Start Open, and Validatecited by 0
- 2026AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experimentcited by 0
- 2026AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainabilitycited by 0
- 2026Fault-Tolerant Evaluation for Sample-Efficient Model Performance Estimatorscited by 0
- 2026Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmarkcited by 0
- 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studiescited by 0
- 2026Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemmacited by 0
- 2026An Onto-Relational-Sophic Framework for Governing Synthetic Mindscited by 0
- 2026AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Modelcited by 0
- 2026The Future of AI is Many, Not Onecited by 0
- 2026Toward Reusability of AI Models Using Dynamic Updates of AI Documentationcited by 0
50 most cited of 64 All 64 (JSON)
- 2026The AI Evaluation Ecosystem7 Oct 2026
- 2026Statistical attribute alignment for black-box generative AI via output post-processing25 Sep 2026
- 2026"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse13 Sep 2026
- 2026The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment11 Sep 2026
- 2026Using profiles of cognitive capability to assess AI suitability for workplace tasks26 Aug 2026
- 2026An Evaluation Framework for National AI Regulation15 Aug 2026
- 2026Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion15 Jul 2026
- 2026Does Anthropomorphic Language Impact Public Perceptions of AI?28 Jun 2026
- 2026Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data22 Jun 2026
- 2026OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals19 Jun 2026
- 2026Beyond Algorithms: Conceptual Innovation in Medical Imaging AI17 Jun 2026
- 2026Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI10 Jun 2026
38 more
- 2026SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks4 Jun 2026
- 2026Position: AI Lock-In Is in Progress, and We Must Be Prepared28 May 2026
- 2026A Tool to Map AI Programs in the U.S.: A Snapshot from April 2026 and an Analysis of Requirements for AI Majors and Minors14 May 2026
- 2026Interpretability Can Be Actionable11 May 2026
- 2026Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways22 Apr 2026
- 2026Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models22 Apr 2026
- 2026Toward Reusability of AI Models Using Dynamic Updates of AI Documentation19 Apr 2026
- 2026Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines16 Apr 2026
- 2026The ATOM Report: Measuring the Open Language Model Ecosystem8 Apr 2026
- 2026Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules3 Apr 2026
- 2026The Future of AI is Many, Not One30 Mar 2026
- 2026CRAFT: Grounded Multi-Agent Coordination Under Partial Information26 Mar 2026
- 2026AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Model24 Mar 2026
- 2026mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT23 Mar 2026
- 2026An Onto-Relational-Sophic Framework for Governing Synthetic Minds19 Mar 2026
- 2026This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMs16 Mar 2026
- 2026RCTs for Frontier AI Governance: Methodological Challenges and Solutions for Human Uplift Studies11 Mar 2026
- 2026Social physics in the age of artificial intelligence4 Mar 2026
- 2026SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing2 Mar 2026
- 2026Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma28 Feb 2026
- 2026Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark23 Feb 2026
- 2026Artificial intelligence is creating a new global linguistic hierarchy12 Feb 2026
- 2026Routing, Cascades, and User Choice for LLMs10 Feb 2026
- 2026Fault-Tolerant Evaluation for Sample-Efficient Model Performance Estimators6 Feb 2026
- 2026Lemon Agent Technical Report6 Feb 2026
- 2026GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models6 Feb 2026
- 2026Are AI Capabilities Increasing Exponentially? A Competing Hypothesis4 Feb 2026
- 2026Generative Visual Code Mobile World Models2 Feb 2026
- 2026The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?30 Jan 2026
- 2026AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability27 Jan 2026
- 2026AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment19 Jan 2026
- 2026Selecting Language Models for Social Science: Start Small, Start Open, and Validate16 Jan 2026
- 2026AI as Entertainment13 Jan 2026
- 2026Universal computation is intrinsic to language model decoding12 Jan 2026
- 2025State over Tokens: Characterizing the Role of Reasoning Tokens14 Dec 2025
- 2025Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases3 Dec 2025
- 2025Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems13 Nov 2025
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations6 Nov 2025
50 newest of 64 All 64 (JSON)
- 2025The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperationcited by 13
- 2025Position: The Real Barrier to LLM Agent Usability is Agentic ROIcited by 12
- 2025Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agentscited by 7
- 2026CRAFT: Grounded Multi-Agent Coordination Under Partial Informationcited by 3
- 2026Lemon Agent Technical Reportcited by 1
- 2026Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelinescited by 1
- 2026Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmarkcited by 0
- 2026The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deploymentcited by 0
- 2026The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment11 Sep 2026
- 2026Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines16 Apr 2026
- 2026CRAFT: Grounded Multi-Agent Coordination Under Partial Information26 Mar 2026
- 2026Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark23 Feb 2026
- 2026Lemon Agent Technical Report6 Feb 2026
- 2025The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation4 Nov 2025
- 2025Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents29 Sep 2025
- 2025Position: The Real Barrier to LLM Agent Usability is Agentic ROI23 May 2025
- 2026Generative Visual Code Mobile World Modelscited by 13
- 2026Generative Visual Code Mobile World Models2 Feb 2026
- 2025TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Controlcited by 14
- 2026GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Modelscited by 11
- 2026The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?cited by 10
- 2026Interpretability Can Be Actionablecited by 7
- 2025Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usagecited by 5
- 2026Social physics in the age of artificial intelligencecited by 5
- 2025NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimationcited by 4
- 2025Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluationscited by 4
- 2026Artificial intelligence is creating a new global linguistic hierarchycited by 3
- 2026This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMscited by 3
- 2026mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFTcited by 3
- 2026Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Modelscited by 3
12 most cited of 49 All 49 (JSON)
- 2026The AI Evaluation Ecosystem7 Oct 2026
- 2026Statistical attribute alignment for black-box generative AI via output post-processing25 Sep 2026
- 2026"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse13 Sep 2026
- 2026Using profiles of cognitive capability to assess AI suitability for workplace tasks26 Aug 2026
- 2026An Evaluation Framework for National AI Regulation15 Aug 2026
- 2026Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion15 Jul 2026
- 2026Does Anthropomorphic Language Impact Public Perceptions of AI?28 Jun 2026
- 2026Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data22 Jun 2026
- 2026OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals19 Jun 2026
- 2026Beyond Algorithms: Conceptual Innovation in Medical Imaging AI17 Jun 2026
- 2026Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI10 Jun 2026
- 2026Position: AI Lock-In Is in Progress, and We Must Be Prepared28 May 2026
12 newest of 49 All 49 (JSON)