Eye on AI
A veteran journalist methodically interviews the founders, engineers, and leaders building the future of artificial intelligence.
This is a long-form interview show where a seasoned journalist, not an AI practitioner, probes the builders of AI. Smith's questioning is direct and aims to understand the mechanics and implications of new technology, from enterprise platforms to foundational research. The main biweekly audio episodes are supplemented by short, daily video clips on YouTube, often excerpted from a single, longer conversation.
“The host's background as a foreign correspondent, rather than a technologist, brings a unique, probing, and context-rich interview style. The recent format of releasing a week of daily, themed video clips from a single guest interview is also a distinctive approach.”
Who hosts this show
Eye on A.I. is a biweekly podcast hosted by Craig S. Smith, a longtime foreign correspondent and former executive for The New York Times. In each episode, Smith interviews key figures in the artificial intelligence space to put incremental advances into a broader context. He retired from the Times in 2018 and now writes about AI for various publications while hosting the podcast.
Credentials & credits
- Former Correspondent, The New York Times
- Former Correspondent, The Wall Street Journal
- Former Special Government Employee, National Security Commission on Artificial Intelligence
- Master's Degree, Columbia University Graduate School of Journalism
- Undergraduate Degree, English Literature & Western Philosophy, Columbia University
Other ventures
- chat.eye-on.ai (AI-powered transcript search for the podcast)
- Writer on AI for The New York Times and other publications
What kind of podcast
- Country
- United States
- Region
- usa
When new episodes drop
- 01
- 02
- 03
- 04
- 05
- 06What if mrbeast's team found the ultimate way to buy back TIME? ⏱️Jun 24, 2026 · 23s
Notable episodes
- 01One Company Now Has More AI Agents Than Human Employees | Ryan Gavin of Slack
This episode, and the series of short clips it generated, provides a deep dive into how a major enterprise platform (Slack) is becoming an operating system for an AI-powered workforce.
- 02AI Is Reading 15 Million X-Rays a Year With No Human in the Loop | Prashant Warier, Qure.ai
A clear example of the podcast's focus on real-world AI implementation, this episode explores the use of AI in medical diagnostics to solve a specific, high-stakes problem.
- 03Interview with Geoff Hinton (2017)
In an interview, the host cites his 2017 New York Times profile of AI pioneer Geoff Hinton as a key moment that sparked his deep involvement in the field.
What you'll be asked on this show
The video format features split-screen remote interviews, with the host, Craig S. Smith, often appearing in red glasses. Recent short episodes on YouTube use a distinct "What if..." titling convention and a narrative description that contrasts a traditional assumption with an "elegant" new solution. These clips often feature text overlays and B-roll footage to emphasize key points.
Questions the host keeps coming back to
- “How does this technology integrate with existing systems, like CRMs?”
- “Where do the AI agents originate from, your platform or third parties?”
- “What problem does this solve for the end-user?”
- “How does this change the way a company operates?”
Signature segments
- · "What if..." episode titles for short-form clips.
- · Episode descriptions structured as "Traditional assumption... The [Product] answer is elegant..."
- · Host's red glasses.
- · Split-screen video interviews.
Topics covered repeatedly
Who gets booked here
Guests are typically founders, CEOs, and senior product or technology leaders at AI companies, ranging from major public corporations like Slack and Zendesk to specialized startups.
- Ryan Gavin (CMO of Slack)on One Company Now Has More AI Agents Than Human Employees
- Shashi Upadhyay (Head of Product, Engineering, and AI at Zendesk)on AI Is Already Resolving 90% of Customer Service Tickets - and It's Getting Smarter
- Prashant Warier (Co-founder and CEO of Qure.ai)on AI Is Reading 15 Million X-Rays a Year With No Human in the Loop
- Sanjeev Vohra (Chief Technology and Innovation Officer at Genpact)on Only 12% of Companies Generate Value From AI. Here's What They're Doing
Where to find this show
Audience & reach
The podcast appears to be self-funded, with no sponsors or ads mentioned in the provided evidence. The host is actively seeking a machine-learning fluent intern via the podcast description, suggesting a small, hands-on production team.
Subscriber and view counts are pulled live from YouTube and re-verified on a 30-day cycle. Listener estimates for the RSS feed aren't published here unless they're host-verified.
Pitch this show
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People also ask
- Who is the host of Eye on AI?
- The host is Craig S. Smith, a veteran journalist and former foreign correspondent for The New York Times and The Wall Street Journal.
- What is the podcast's format?
- The primary format is a biweekly, long-form audio interview. This is supplemented by daily short video clips released on YouTube, often focused on a single guest per week.
- Is the podcast still running?
- Yes, the podcast is active, with new long-form episodes released biweekly and short clips published almost daily as of late June 2026.
- Where can I listen to the podcast?
- The podcast is available on YouTube, Apple Podcasts, Spotify, and other major podcast platforms. The official website is eye-on.ai.
- How can I pitch a guest for the show?
- The YouTube channel description includes a Google Form link for guest pitches.
- What is chat.eye-on.ai?
- It is an AI-powered chatbot that allows users to search the transcripts of over 300 episodes of the podcast to find answers, guests, and topics.
Built from the show's public RSS feed, YouTube, the host's own websites, and the cited sources below. Computed and AI-extracted fields are labelled. Facts only — no private info, no fabrication, no transcripts republished.
Sources & how this page was built
This page is AI-assisted, grounded in the public sources cited below, and host-verifiable. We publish facts only; we do not republish transcripts. If anything here is wrong, the host can claim and correct the page above.Model: gemini-2.5-pro · high confidence
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