|
|
This year's AI Index reveals a widening gap between how quickly AI is advancing and our ability to measure and manage it.
While AI continues its rapid integration into the global economy – with technical capabilities improving, investment accelerating, and adoption spreading worldwide – the systems needed to govern, evaluate, and understand this technology are falling dangerously
behind. The report raises the central question: Can the systems we build around AI match the speed of AI itself?
|
|
|
|
|
The annual report reveals a field hitting breakthrough capabilities, while raising urgent questions about environmental
costs, transparency, and who benefits from the technology.
|
-
AI models are achieving breakthrough results in science and complex reasoning, but at a concerning environmental toll.
-
Today’s most capable modern models are now among the least transparent.
-
Meanwhile, AI’s workforce disruption has moved from prediction to reality, hitting young workers first.
|
|
|
|
Explore this year’s major breakthroughs, policy shifts, and evolving public sentiment, alongside the ethical questions that
continue to shape the field of AI. Join the conversation by participating in these upcoming events:
|
|
|
|
|
|
April 13, 2026 | 9:30 – 10:30 am PT | Online
|
|
The 2026 Stanford AI Index, widely recognized as the world's most comprehensive annual analysis of artificial intelligence,
just launched. LinkedIn and
the United
Nations Development Programme (UNDP) are teaming up to host the report’s lead researchers for an unfiltered
look at the latest insights on AI's technical progress, economic impact, and the road ahead.
Register
»
|
|
|
|
|
|
April 15, 2026 | 12:00 – 1:30 pm PT | Online
|
|
Join the
Brookings
Institution's AI & Emerging Technology Initiative and Stanford HAI for a conversation on the 2026 AI Index and
what it reveals about the state of AI development, adoption, and impact. A closing panel of experts will dive deeper into emerging trends in critical policy domains, identify gaps and barriers in data reliability, and explore what researchers, policymakers,
and companies can do to build a stronger empirical foundation for AI governance.
Register
»
|
|
|
|
|
|
May 20, 2026 | 12:00 – 1:15 pm PT | Stanford, CA / Online
|
|
What is changing in the field of AI? Join Stanford HAI's AI Index Lead
Sha
Sajadieh for an exclusive look into this trusted source of AI intelligence. Learn about the year’s major AI
breakthroughs, changes in the workplace, policy shifts, and an evolving public sentiment for this technology. From technical advances to ethical considerations, education trends to economic impact—get the unbiased, data-driven insights that executives, policymakers,
and global researchers rely on.
Register
»
|
|
|
|
|
In a field where data transparency is declining, independent measurement has never been more critical. This report provides
the most comprehensive, rigorously sourced analysis of AI's trajectory available – while acknowledging explicitly where the gaps remain.
|
|
|
|
Manage your
preferences | Opt
Out using TrueRemove™
Got this as a forward?
Sign
up to receive our future emails.
View this email
online.
|
|
Stanford University | Stanford, CA 94305 US
|
|
|
|
This email was sent to tcr...@stanford.edu.
To continue receiving our emails, add us to your address book.
|
|
|
|