AI can speed up routine development work. It does not take over product decisions, integration, review, security, maintenance or responsibility in production.
So the bottleneck moves away from simply producing code, towards deciding what to build and checking that it works reliably. This is how we read what we see in practice, not an independently measured market fact.
In the teams we talk to, this usually means:
- less need for isolated execution capacity;
- more need for engineers who understand problems on their own;
- closer integration between product, software, data and operations;
- higher demands on communication and ownership.