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Eye On A.I. Podcast Transcripts

Craig S. Smith · 391 episodes with transcripts

Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence.

Spoken has transcripts of 391 Eye On A.I. episodes, with the speakers named. The newest listed here is from November 13, 2026.

Every Eye On A.I. transcript in one script

391 episodes of Eye On A.I. have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1438378439/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

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Latest Eye On A.I. transcripts

Why Enterprise AI Isn't Delivering ROI | Ahmed Bashir, DevRev

November 13, 2026

Craig S. Smith (0:00)

And the problem, and I've heard this from a lot of people, is that Enterprise AI demos work amazingly, but once you get them in the Enterprise and the complexity of the Enterprise, everyone's disappointed.

Ahmed Bashir (0:12)

While everybody claimed to have industry-leading AI., CIOs were betting on AI heavily, and very few were actually unlocking real R1. There was a gap in the level of governance, the level of orchestration, the level of semantic understanding at scale. And that's exactly what shared memory provides. I think that the…

Craig S. Smith (0:37)

Swapping in a smarter model didn't win you that much, that what mattered was the plumbing of the system. Is that right? And if so, did that surprise you?

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Any Eye On A.I. episode comes back as Markdown with the speakers named, one credit each.

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  https://spoken.md/transcripts/1000801739330

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