Mark Cuban is half right about enterprise AI's biggest problem
2026-06-04
Mark Cuban says the biggest problem with enterprise AI is that you still can't guarantee everyone gets the same answer to the same question every time.
He's half right. The problem isn't the variance. It's that we treat all variance the same.
Humans don't give the same answer every time either. We don't try to force them to.
The question was never how to eliminate variance. It's knowing where variance is useful and where it is unacceptable.
Writing a marketing email? Variance is useful.
Approving a loan, detecting fraud, or determining a treatment plan? Variance becomes a governance and accountability problem. Not because the answer changed, but because someone has to own the consequence.
Which is why the next wave of enterprise AI won't be won by the organizations with the best models.
It will be won by those who best encode objectives, constraints, policies, and judgment into operational decision systems.
Intelligence generates possibilities.
You get paid for the decision.
Source: the Mark Cuban thread that prompted this.
First published on LinkedIn, 4 June 2026. Lightly revised. Original post.