Put On Your AI-Colored Glasses
summary
Companies report a jump to agentic workflows with about a million agents already running and product catalogs like half a million products automated for tagging and categorization, cutting manual steps by 50–60%. Teams adopt role‑specific training and AI guilds, build modular data pipelines so models are swappable, and prioritize instrumentation and feedback loops after encountering 70,000 enterprise AI products choices. Concrete patterns: buy for speed and build for differentiation, set confidence thresholds that route low‑trust outputs to humans, and measure P&L impact from speed and retention gains.
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chapters (12)
- 0:00Introduction and AI glasses
- 1:45AI revolution and exponential change
- 3:58AEO and user research transformation
- 5:43Economic earthquake and productivity demand
- 7:27Three steps to AI adoption
- 10:40Transforming processes with AI
- 12:07Using AI to inflect growth
- 13:10Building AI products and common mistakes
- 15:20Building for adaptability and scalability
- 16:45New organizational models for AI
- 18:55Four hard leadership questions
- 23:13Closing and call to action
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