What’s the biggest AI bottleneck right now: compute, data, energy, or trust?

AI is moving fast, but it feels like the real limiting factor is changing.
A year ago, most people were focused on model quality. Now the conversation seems to be shifting toward infrastructure, energy demand, regulation, reliability, and public trust.
If you had to choose just one, what do you think is the biggest bottleneck for AI growth over the next 2–3 years?
Compute / chips
Data quality
Energy / infrastructure
Regulation
Trust / adoption
Something else?
Curious to hear how people here see it — especially whether the main constraint is now technical, economic, or political.