AI100 Report: AI has entered the mainstream and is reshaping society
Generative AI is transforming science, industry, and society while raising urgent questions about governance and public participation.
<a href="https://myappsplus.com/nyt-strands-hints-and-answers-for-wednesday-november-11-game-983/” title=”NYT Strands hints and answers for Wednesday, November 11 (game #983)”>November 10, 2026
Artificial Intelligence
To the point
- Life with AI: Artificial intelligence has evolved from a specialised technology into an integral part of everyday life for millions of people.
- Long-term AI study: In their third report, an international panel of experts in computer science, philosophy, sociology, and other disciplines as part of the AI100 long-term project at Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI), evaluate how AI has evolved since the previous report in 2021.
- Every five years: Published every five years since 2016 as part of a 100-year study, the report examines the development of artificial intelligence and its impact on individuals, communities, and society from technical, ethical, economic, and societal perspectives.
- Contents of the study: The 2026 AI100 Report is the panel’s third report and examines topics including the scaling of data and computing power underlying generative AI, advances in scientific research, investments in AI infrastructure, the concentration of frontier AI development, cybersecurity and military applications, the trustworthiness of digital media, emerging risks, public participation, and international governance structures.
Artificial intelligence has moved from a specialised technology to an everyday reality for millions of people. According to the latest report from the One Hundred Year Study on Artificial Intelligence (AI100), the past five years have marked a watershed moment in AI’s development, driven by advances in large-scale computing, vast datasets, and the rapid rise of generative AI. The report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, was released by AI100, a longitudinal project administered by Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI). Published every five years, the study examines AI’s development and its impact on people, communities, and society across technical, ethical, economic, and societal domains.
Among the members of the 2026 AI100 Study Panel was Iyad Rahwan, Director of the Center for Human and Machines at the Max Planck Institute for Human Development. The international panel brought together experts from computer science, philosophy, sociology, and related disciplines to assess how AI has evolved since the previous report in 2021.
The 2026 AI100 report examines the scaling of data and computing resources behind generative AI, advances in scientific discovery, investment in AI infrastructure, the concentration of frontier AI development, cybersecurity and military applications, the trustworthiness of digital media, emerging risks, public participation, and international governance.
The report’s 12 key takeaways
- Scaling is the paradigm that has powered the chief advances in generative AI over the last five years: building AI systems using ever more compute and ever more data. But the scaling paradigm is running into data and compute constraints, shifting the frontier toward reasoning and inference-time compute.
- Like the World Wide Web, AI is a disruptive technology. It is already transforming the creative industries, mathematics, and software development, all fields that believed themselves beyond its reach. They join a long list of sectors upended by technology over the past 30 years, from journalism and the music industry to retail. Other areas that believe themselves immune from AI also stand to be disrupted in short order.
- AI is transforming science at remarkable speed, a fact recognized by the 2024 Nobel Prizes in both Physics and Chemistry. It is compressing research timescales that used to be measured in years down to months or weeks, yet it also raises many new scientific grand challenges that demand attention.
- Capital investment in AI infrastructure is unprecedented in scale and speed, propping up parts of the U.S. economy, dominating capital markets, fuelling fears of a financial bubble, and straining energy and freshwater supplies.
- Frontier AI development is concentrated among a small number of U.S. and Chinese actors, raising international concerns about who will ultimately own and have access to leading-edge AI technologies.
- Cybersecurity has emerged as a major area of risk for the abuse of AI, and as a possible area in which powerful AI systems might cause real-world harms.
- Military AI has gone from being a hypothetical point of speculation to a transformative force in active conflicts.
- AI-generated imagery, audio, and video have ended the century-old assumption that evidence based on photographs and audio and video recordings is inherently trustworthy.
- AI is reshaping the lives of billions of people, yet the public has had little say in how it is developed and deployed.
- AI risks once seen as pure science fiction are now emerging, while existing ethical concerns require ever more attention.
- AI governance is fragmented and increasingly framed in terms of national security, with little international consensus among states on its direction.
- The pace of AI development over the past five years has been unprecedented, and few people predicted where AI would be today, even five years ago. If the current pace is sustained, we should expect the next five years to surprise us just as much.
“The 2021 AI100 report was very optimistic about the potential for rapid AI progress. What we did not foresee was the ‘ChatGPT moment’ that took the world by storm. AI suddenly became a mainstream topic, and today billions of people interact with AI on a regular basis. This shift has fundamentally changed how society, business, and industry view the technology,” says Iyad Rahwan, member of the 2026 AI100 Study Panel.
The latest AI100 report builds on previous editions from 2016 and 2021 and documents how artificial intelligence has evolved from a specialised research technology into a pervasive social force. It responds to 12 standing questions about AI’s advances, opportunities, dangers, and societal effects, includes deep dives into AI geopolitics and the scaling era, and compares developments since 2021 with the previous panel’s assessments.
For the researchers on the Study Panel, one thing is clear: The coming years will be decisive in shaping the opportunities and risks of this technology.
About the One Hundred Year Study on Artificial Intelligence
Launched in 2014, the One-Hundred-Year Study on Artificial Intelligence (AI100) is a longitudinal project led by an international Standing Committee of AI experts and administered out of Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). Every five years, AI100 convenes a Study Panel to assess AI’s progress and its influences on people, communities, and society across technical, ethical, economic, and societal domains. Learn more at ai100.stanford.edu.
More information: https://ai100.stanford.edu
