The Speed Trap: Why the Fastest AI Adopters Aren’t Winning

Most AI conversations pick one side of the same debate: adopt faster, or slow down and be careful.

Singularity Expert Tricia Wang rejects that whole frame. Her argument is that the human is not what AI replaces. As machine intelligence gets cheap, human judgment gets scarce, and the leaders who win are the ones who know exactly where to put it.

Tricia is not the “responsible AI” voice and not the hype voice. She offers a viable, affirmative answer to the anxiety every executive is feeling right now: if the machine does the routine work, what are we for?

The market is starting to prove her right in real time. In May, Uber’s own COO admitted the company cannot draw a clear line between its AI spend and the value it ships. That is the exact gap Tricia has been naming for a decade, across three technology waves. This is her chance to explain it before it becomes conventional wisdom.

In this session, Tricia Wang will cover:

- Why the fastest AI adopters aren't the ones winning, and what the companies pulling ahead are doing differently

- What thick data is, why it's not simply more data, and why the human signal underneath the numbers is the thing your dashboards and your AI can't show you

- Where human judgment actually goes once AI absorbs the routine work, so "the human is the bottleneck" stops being the strategy