About this episode
Emily Laird discusses the rapid acceleration of AI technologies and their implications for society.
Host Emily Laird blasts past the “AI is slowing down” takes and shows why the machine is actually speeding up, from frontier models to coding benchmarks to data centers humming like the Death Star. This episode breaks down Stanford HAI’s 2026 AI Index with sharp wit, real numbers, and a healthy suspicion of quarter-zip prophecy. It is a high-voltage look at adoption, jobs, schools, and the big question: can human judgment keep up with the shiny machines?Join the AI Weekly MeetupsConnect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about the current state of AI acceleration in 2026. Connect with Emily Laird on LinkedIn
People in this episode
Host: Emily Laird
Topics covered
- AI acceleration
- machine learning
- data centers
- job market
- education
- human judgment
Keywords
- AI
- acceleration
- Stanford HAI
- data centers
- jobs
- education
- human judgment
Mentioned in this episode
Organizations: Stanford HAI
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