Building a working prototype used to take a quarter and a dedicated team, so the lab’s job was mostly logistics: get the resources, protect the timeline, produce the demo. That scarcity is mostly gone — a small team can produce a credible AI prototype in weeks.
A polished AI demo is no longer a signal of anything beyond effort.
The bottleneck moved from building the thing to deciding which thing. When ten prototypes are cheap, the constraint becomes picking the one worth a real commitment — thesis discipline, not production speed. A working prototype with no internal buyer dies in committee, so the lab now needs a GTM motion inside the company, not just outside it. And the core business has to be willing to operate what the lab proves, which is an organisational problem the lab cannot solve alone.
For corporate venture teams, this changes what diligence should test. The question that matters is whether the venture has a thesis specific enough to be wrong, and whether anyone inside the company is actually accountable for scaling it if it works — not how convincing the demo looked in the room.
Innovation labs are not obsolete, but their job description changed: fewer prototypes shipped, more theses tested to a real yes-or-no, with an internal owner named before the prototype starts.
