AI Risk Atlas Prototype/DemoUnofficial independent experiment. Not an official xAI product. Scores can be wrong.

Back to mitigations
ProposedOn the path to acceptable

Siting only where spare water and firm power already exist

No campus on a stressed aquifer or a thin grid. Publish the water and megawatt math.

No compiled flow or public database names this control yet.

Who should own it
States and utilities
Governments
How quickly it can land
Weeks
A dedicated squad can land it inside two months.
Expedited implementation
6 weeks
45 calendar days with a crash team
Normal implementation
6 months
180 calendar days as a planned program

Risk this mitigates

16
Training load on water and the grid

Given that AI data centres are already being cited by officials as a water-and-grid crisis, and household rates are being raised to underwrite them, there is a possibility of training and inference load outrunning local water, power, and political consent resulting in blackouts, agricultural water loss, and a public that experiences AI as a utility bill.

Residual composite 16 · still above the threshold

Effect if implemented

Applied to every failure scenario on that risk, then re-ranked. Axes are clamped at 1.

Likelihood
1
Consequence
1
Urgency
1