Not long ago I left a reasonably cool AI startup to join an ops heavy (like people physically doing work, running warehouses etc) company. There was some adjustment but the ability to deliver real, concrete, monetary value to people working in the field is incredibly rewarding (and oddly the pay is on par with most bay area startups).

I recently talked to a few companies in the AI space, from (smaller) frontier model labs to companies still looking to build "AI products" and my take away was that, if you're not working for one of the big players, the market hasn't really figured out if there is an "AI engineer" job yet.

I'm increasingly starting to believe that the future of work for people that have technical skills (more than just 'software') is likely going to be working in places that are less about "shipping software" and more about supporting teams doing something physical in the real world.

These companies are also the most ripe to truly leverage AI: they have tons of messy problems that need to be solved and iterated on extremely fast. Operations people tend to be "EoD" deadline people, not quarterly planners. Getting solutions solved in an actionable way on time often means really understanding the core business, the technical space surrounding it, and how to leverage AI to pull of some miracles. It can be stressful, but when you pull it off your stakeholder have sincere and real gratitude and you're actually moving the needle for the company.

I don't think the Bay area, even those sniffing the AI vapors the hardest, is really willing to accept what AI is going to do to software and software companies.

This is going to be the route for a lot of white collar people as they lose their jobs to AI.

Building a vertical backoffice for just 1 company used to be pointless and probably still is.