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

Back to mitigations
In progress

Closed-loop cooling as a permit condition

Evaporative cooling is not a default in dry basins.

No compiled flow or public database names this control yet.

Who should own it
Data-centre operators
Enterprises
How quickly it can land
Months
A planned program, one to two quarters.
Expedited implementation
2 months
60 calendar days with a crash team
Normal implementation
7 months
210 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
0