# AI & the Great Acceleration Page: https://stenobird.com/podcast/generative-ai-101-6932184/ai-the-great-acceleration Text version: https://stenobird.com/podcast/generative-ai-101-6932184/ai-the-great-acceleration.md Podcast: [Generative AI 101](https://stenobird.com/podcast/generative-ai-101-6932184) Published: 2026-05-11T10:13:00+00:00 Episode link: https://generativeai101.podbean.com/e/ai-the-great-acceleration/ Audio file: https://mcdn.podbean.com/mf/web/3gyinje7r4ja7a8n/Acceleration.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/generative-ai-101-6932184/episodes/ai-the-great-acceleration Duration seconds: 722 ## Resource 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 ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/generative-ai-101-6932184/episodes/ai-the-great-acceleration/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/generative-ai-101-6932184/ai-the-great-acceleration.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.