Talk Keynote · 45–60 min

Your AI Strategy Is Probably Theater

Most organizations have an AI strategy that's really a press release.

Most organizations have an AI strategy that's really a press release. This talk is a practical breakdown of where AI creates real product leverage today, where it's still noise, and how to build a defensible point of view before the next cycle makes yours obsolete.

Why this talk, now

Every organization has an AI initiative and a slide deck now; few have a working definition of where AI actually changes the P&L. Saying no to a pilot has started to look riskier than funding one that never ships anything real — which is exactly backwards.

This isn't a tools showcase or a hype-versus-skepticism debate. It's an argument about executive judgment: as AI implementation gets cheaper, the cost of weak direction goes up, not down. The organizations getting real leverage aren't the ones running the most pilots — they're the ones with someone senior enough, and specific enough, to say where AI doesn't belong.

Best for Executive teams · product leaders · innovation & AI-focused conferences Audience leaves with

A practical test for separating real AI leverage from costly performance
Where AI creates defensible advantage today, and where it's still noise
How to build a point of view that survives the next hype cycle

How the talk unfolds

1

The press release problem

Most AI strategies are communications documents wearing a strategy's clothes — a slide, a pilot, a quote for the annual report. How to tell the difference from the outside.
2

Where the leverage actually is

A practical test, built from running AI strategy for an operating company today, for separating implementation from advantage.
3

The deepfake case

What it took to build an AI enforcement product at SuperBam — where the cost of being wrong wasn't a bad demo, it was a bad legal outcome.
4

The judgment gap

Why cheaper implementation raises the cost of a wrong call instead of lowering it, and why most orgs are set up to miss that.
5

What a real point of view looks like

A test the audience can apply on Monday morning to their own AI roadmap.

Where this comes from

BoltOS — Director of Innovation

Currently shaping product and go-to-market strategy for AI-native operating infrastructure — the live version of this argument, not a retrospective.
SuperBam — CPO → Interim CEO

Built an AI deepfake enforcement product from the ground up, where AI had to hold up against real-world stakes, not just demo well.
Read more →

Built to adapt

Executive / board — condensed to a decision framework for a leadership offsite
Product & engineering — focused on implementation judgment and where AI creates defensible leverage vs. busywork
General business / association — a practical filter for separating AI signal from AI noise, no technical background assumed