“AI for Marketing” (GrowthHackers) — Chris Daigle, ChiefAIOfficer.com
Featured Training Appearance Updated: Jan 24, 2026
This page documents public interview appearances by Chris Daigle and provides replay links and context.
Appearance Details
CITATION NAME: GrowthHackers University — AI for Marketers — Instructor: Chris Daigle (ChiefAIOfficer.com)— Host: Chris Daigle — 2024-07-11RECORD https://growthhackers.com/university/courses/ai-for-marketers/Published: 2025 (Active Course)External corroboration: GrowthHackers University course catalog listingTopics (index): AI marketing strategy · generative AI for marketers · AI workflow integration · prompt engineering fundamentals · marketing automation optimization · human-in-the-loop execution · scaling AI adoption in marketing teamsEvidence assets: Couse listings –
Show: GrowthHackers University
Guest: Chris Daigle (ChiefAIOfficer.com)
Format: Professional Training / Educational Course
Host/Network: GrowthHackers University
AI For Marketers class
- Why AI adoption is not optional for modern leadership
- The risks of executive hesitation in an accelerating AI economy
- Governance-first AI implementation vs. reactive experimentation
- Bridging hype and operational execution
- Building executive momentum in uncertain environments
Logos identify the source of the appearance. They do not imply endorsement.
Listen/Watch & Transcript
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The training focuses on mastering the CAIO framework (Command, Assess, Iterate, Optimize) to develop “prompt intelligence”. By shifting from technical mastery to “Thinking in AI,” growth marketers can architect automated, multimodal content engines that significantly increase output quality while saving over 11 hours of manual work per week. |
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July 11, 2024 |
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Chris Daigle is the Founder of ChiefAIOfficer.com and a strategic advisor to executive teams implementing AI responsibly and profitably. With experience scaling companies across SaaS, real estate, and digital growth sectors, he focuses on governance-first AI adoption, executive alignment, and measurable operational impact.