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Artificial Intelligence Index Report 2025
Nestor Maslej, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Toby Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, Sukrut Oak
April 8, 2025
arXiv.org
179 citations
12 influential
Key Takeaways
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Corporate adoption of responsible AI practices is now being systematically tracked, indicating that businesses are increasingly implementing governance measures alongside AI deployment, though the report suggests this remains an evolving area requiring continued monitoring.
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AI hardware landscape and inference costs are emerging as critical factors in understanding AI's real-world deployment and accessibility, with the 2025 report providing novel cost estimates that help clarify the practical economics of AI systems beyond just model development.
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AI's role in science and medicine is expanding significantly, with the report providing expanded coverage of these applications, suggesting that AI's impact extends beyond commercial uses into domains affecting public health and scientific discovery.
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Geopolitical competition in AI is intensifying, as the report tracks shifting global dynamics in AI development and deployment, which has implications for how different countries and regions approach AI governance and regulation.
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Longitudinal data tracking is essential for informed decision-making in AI policy and deployment, as the report emphasizes that understanding trends over time—rather than snapshot moments—helps policymakers, executives, and the public make better decisions about AI's development and societal integration.