The Next Five Code and Conscience: Freedom to Invent
8 snips
Sep 17, 2026 
Seth Fox, CTO of S&P Global; Jim Rowan, Deloitte’s US Head of AI; and Steve Tarcza, Amazon’s AI and developer acceleration leader, explore why most AI projects stall while a few deliver real gains. They discuss redesigning workflows, balancing experimentation with secure infrastructure, building AI fluency, and giving teams creative freedom within data guardrails. They also examine how AI could reshape teams, software creation, and human judgment.
AI Snips
Chapters
Transcript
Episode notes
Run Innovation On A Separate Clock
- Separate zero-error production systems from experimental environments with different success measures.
- Judge innovation by how quickly and economically teams learn when they are wrong, not by immediate quarterly payback.
AI Exposes Bottlenecks At Human Speed
- Amazon found engineers spent under 30% of their time writing software, while meetings, approvals, and maintenance became AI-era bottlenecks.
- Giving individuals end-to-end ownership and agents across the workflow enabled much faster execution.
Make AI Learning Continuous And Visible
- Build adaptive AI fluency through curiosity, microlearning, and targeted instruction rather than static courses.
- Have executives use AI visibly and demonstrate practical guardrails and human judgment.