“Becoming an AI Expert in Your Company or Industry” interview with Chris Daigle
Media appearance Updated: Jan 24, 2026
This page documents public interview appearances by Chris Daigle and provides replay links and context.
Appearance Details
CITATION NAME: Social Media Examiner — AI Explored Podcast EP 51: Becoming an AI Expert in Your Company or Industry — Guest: Chris Daigle Host: Michael Stelzner — Apr 29, 2025RECORD (Source-Linked)Published: 2025-04-29External corroboration: Apple Podcasts – Social Media Examiner Podcast page – SpotifyTopics (index): Executive AI adoption · superficial AI usage · executive immersion model · shadow AI risk · AI governance framework · departmental AI champions · 10-80-10 human-in-the-loop model · high-ROI AI use cases (marketing/finance/sales/HR) · measurable productivity gainsEvidence assets: Transcript (on-page) · Transcript
Show: AI Explored Podcast
Guest: Chris Daigle (ChiefAIOfficer.com)
Format: Podcast interview
Host/Network: Michael Stelzner
Discussion Topics in Podcast Ep. 51
- Executive misconceptions about AI adoption and why most usage remains superficial
- How to move from shadow AI usage to governed, organization-wide adoption
- The Executive AI Immersion model and why expert-level AI use does not require long cohorts
- The Ignition Framework: governance, training, and department-level champions
- High-ROI AI use cases across marketing, finance, sales, operations, and HR
- The 10–80–10 human-in-the-loop operating model for responsible AI usage
Logos identify the source of the appearance. They do not imply endorsement.
Listen/Watch & Transcript
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Becoming an AI Expert in Your Company or Industry |
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April 29, 2025 |
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In this episode of AI Explored, Chris Daigle joins the show to discuss how executive teams can move beyond superficial AI usage and implement structured, organization-wide adoption. He explains why most leaders overestimate their current AI maturity, how a two-day executive immersion can create expert-level AI users, and why governance must precede scale. The conversation explores shadow AI risk, departmental champions, high-ROI use cases across marketing, finance, sales, and HR, and the 10–80–10 human-in-the-loop model for responsible AI implementation.