Dan Olsen is a product management consultant, educator, and author best known for his work on product-market fit. A veteran of the Mind the Product community, he runs hands-on AI workshops for product teams across industries — battle-testing tools so busy PMs don't have to. In this episode of Now Shipping, Dan joins host Mike Belsito to dissect the biggest AI story of the past month — Google I/O — and examine what the rapid expansion of agentic tools means for product managers navigating an increasingly automated world of work.

We discuss:

1. How Gemini Spark, Google Stitch, and Antigravity collectively signal that Google has moved from playing catch-up to serious competition with Anthropic and OpenAI
2. The clear arc of the agentic arms race: OpenClaw showed what was possible, Claude Cowork made it accessible, and Gemini Spark is Google's bid to own the personal AI agent space
3. Why running agents in the cloud — not just on a laptop — solves real reliability problems for knowledge workers
4. How the bottleneck in software development is shifting from engineering to product management, and why that makes strong PM judgment more valuable, not less
5. Why vibe coding and agentic tools increase the temptation to skip discovery and rush straight into solution space
6. Why product sense and product taste are the new differentiators — when anyone can build anything quickly, what you choose to build is what matters most
7. Why investing in hands-on AI learning is no longer a nice-to-have for product managers

Referenced:

• Claude Cowork: https://www.anthropic.com
• Gemini Spark / Google I/O: https://io.google
• Microsoft Copilot (M365): https://www.microsoft.com/en-us/microsoft-365/copilot
• Lovable (AI prototyping): https://lovable.dev
• Cursor (AI IDE): https://cursor.com
• The Goal — Eliyahu M. Goldratt: https://en.wikipedia.org/wiki/The_Goal_(novel)
• Andrew Ng on the shifting PM bottleneck
• Mind the Product Chicago — 7 October 2026 (workshop 6 October): https://www.mindtheproduct.com

Mike Belsito hosts Now Shipping, Mind the Product's weekly AI news briefing for product practitioners. This episode brings together three stories that share a single throughline: the model era is giving way to the deployment era. Belceto unpacks Microsoft's $2.5bn bet on embedded AI delivery, the same company's simultaneous 4,800-person headcount reduction, and an enterprise benchmark study revealing that 71% of executives at billion-dollar companies say their own organisation is the biggest barrier to AI performance.


Chapters:
(0:00) Introduction
(0:23) Three stories, one thread
(1:31) Microsoft Frontier Company
(5:17) The AI layoff wave
(11:39) The organisational readiness gap
(15:10) Wrap-up