World Model Readiness Who builds it, who keeps it running

Module · Who builds it, who keeps it running

The AI Talent & Skills Assessment

Every AI roadmap assumes people who can build, integrate, and maintain it. This module tests whether that assumption holds: the depth of your bench, the realism of your hiring plans, how much you lean on consultants who leave with the knowledge, and whether the people who understand your systems have any reason to stay.

Question 1 of 5 · Bench can build it

Can your own people build and run the AI systems on your roadmap, without a vendor in the room?

Not whether anyone has touched a model: whether you have people who can ship an AI system into production and keep it alive when it breaks at 3am. Slideware skills and delivery skills are different things.

Question 2 of 5 · Hiring plan is real

Is your plan to hire the AI skills you need grounded in what the market will actually give you?

Job descriptions that ask for five years of experience in a two-year-old field do not get filled. The question is whether your hiring plan matches salary bands, timelines, and the competition you are up against.

Question 3 of 5 · Upskilling actually happens

Are you deliberately turning existing staff into people who can work with AI?

The cheapest AI talent already works for you and knows your business. Without a real programme, budget, and protected time, upskilling stays a line in a strategy deck that nobody acts on.

Question 4 of 5 · Key people will stay

Do the people who understand your AI systems have a reason to stay?

The person who built the model carries context no documentation holds. If they can double their salary elsewhere and nothing but inertia keeps them, you are one resignation away from a black box.

Question 5 of 5 · Not consultant-dependent

If your consultants walked off the project tomorrow, could you keep the AI systems running?

Consultants are fine for a push and dangerous as a permanent crutch. The test is whether knowledge transfers to your staff as you go, or whether every system they build leaves with them.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

Where does your AI expertise mainly come from today?

Mostly in-house
Mostly consultants
Roughly even mix
Almost none yet

How hard is it to hire the AI talent you need?

Not hard
Manageable
Very hard
Effectively impossible
Not hiring for it

If your lead AI person resigned tomorrow, what happens?

We would be fine
Slowed but coping
Serious disruption
Systems at risk
We are not sure

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.