The bottleneck at larger orgs is mostly always decision-making.

Getting code written and reviewed is the trivial part of the job in most cases, discovering the product needs, considering/uncovering edge-cases, defining business logic that is extensible or easily modifiable when conditions change, etc. are the parts that consume 80% of my time.

We in the engineering org at the company I work for have raised this flag many times during adoption of AI-assisting tools, now that the rollout is deeply in progress with most developers using the tools, changing workflows, it has become the sore thumb sticking out: yes, we can deliver more code if it's needed but for what exactly do you need it?

So far I haven't seen a speed up in decision-making, the same chain of approvals, prioritisation, definitions chugs along as it was and it is clearly the bottleneck.