We've built organizations around standardization: job titles, role definitions, career ladders. It worked when tasks were predictable and specialized. But when AI makes capabilities accessible across traditional boundaries, standardization breaks down.

Most organizations respond by panicking — trying to force old structures onto new realities. What they're missing: evolution didn't build us for standardization. It built us for diversity. Different cognitive wiring. Different risk profiles. Different strengths.

In this talk, I'll give tech executives a framework grounded in evolutionary psychology for seeing and building teams around how people actually work — not around job titles.

We'll explore:

What changes — Why traditional role-based hiring and promotion stops working
What doesn't — The human principles that remain constant (psychological safety, growth, autonomy)
How to see people differently — Using evolutionary psychology to understand cognitive diversity on your team
How to build around nuance — Practical frameworks for hiring, promoting, and restructuring teams based on actual strengths, not titles
New team topologies — What org charts look like when roles are defined by capability clusters instead of titles, and how EMs adapt culture and workflows around that
By the end, CTOs and engineering leaders will have a model for building teams that leverage people's real capabilities — and a path for embedding this in promotion, hiring, and org-design decisions.