And most people are looking at the wrong part of the opportunity.
Not how to rebuild the company around AI. Where to connect it first, what stays human, and how to tell whether it worked.
See the session for business owners I want to work in AIYou don't have to become a machine-learning researcher. You have to become useful at the intersection — and there's evidence of what's being asked for.
See the career sessionTwo sides of the same shift. Pick yours — the content is different.
These are real names of roles companies are posting. Almost none of them existed under that name two years ago.
Now they show up together, in the same job post. That overlap is the new layer.
They need someone to turn AI into working systems.
They want to become valuable in an economy that changed its rules.
We sit in the middle: we implement on one side and train operators on the other. That's why the content on each path is different — and why both are real.
Free, live, not a recycled recording. Pick the one that's yours — mixing them helps nobody.