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How AI drives advancements and new business models across industries.
We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
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We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.
HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.
This methodological paper presents the Global AI Vibrancy Tool, an interactive suite of visualizations designed to facilitate cross-country comparisons of AI vibrancy across countries, using indicators organized into pillars. The tool offers customizable features that enable users to conduct in-depth country-level comparisons and longitudinal analyses of AI-related metrics.
This methodological paper presents the Global AI Vibrancy Tool, an interactive suite of visualizations designed to facilitate cross-country comparisons of AI vibrancy across countries, using indicators organized into pillars. The tool offers customizable features that enable users to conduct in-depth country-level comparisons and longitudinal analyses of AI-related metrics.

This brief presents one of the first empirical investigations into AI ethics on the ground in private technology companies.

This brief presents one of the first empirical investigations into AI ethics on the ground in private technology companies.
The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
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The possibility that AI will automate most cognitive labor is worth taking seriously. How should we adapt to this transformation? I start from the perspective, articulated in the essay “AI as normal technology”, that the true bottlenecks lie downstream of capabilities and that AI’s impacts will unfold gradually over decades. If this is true, there are major gaps in our current evidence infrastructure, because it over-emphasizes the capability layer.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.


This brief introduces a quantitative framework to gauge the effect tax policy or regulatory action would have on Facebook’s platform usage, consumer welfare, and revenues.
This brief introduces a quantitative framework to gauge the effect tax policy or regulatory action would have on Facebook’s platform usage, consumer welfare, and revenues.


Researchers at Stanford have invented a new type of self-powered mechanical circuits that learn. It could lead to new purely mechanical machines that understand and adapt to the changing world around them.
Researchers at Stanford have invented a new type of self-powered mechanical circuits that learn. It could lead to new purely mechanical machines that understand and adapt to the changing world around them.


Stanford professors Melissa Valentine and Michael Bernstein unveil a new model for work organizations, highlighting a dynamic approach to assembling global teams of experts for on-demand projects.
Stanford professors Melissa Valentine and Michael Bernstein unveil a new model for work organizations, highlighting a dynamic approach to assembling global teams of experts for on-demand projects.

Vanessa Parli, Stanford HAI Director of Research and AI Index Steering Committee member, notes that the 2025 AI Index reports flourishing and higher-quality academic research in AI.
Vanessa Parli, Stanford HAI Director of Research and AI Index Steering Committee member, notes that the 2025 AI Index reports flourishing and higher-quality academic research in AI.