Sam Altman has a message for anyone worried about AI's environmental impact: stop complaining. At a recent event, the OpenAI CEO dismissed concerns about AI's massive water and energy consumption by comparing it to the resources required to raise humans. "Training humans also uses a lot of energy," he said, calling water-usage concerns "fake."

Let me translate that for you: "Sure, my data centers use millions of gallons of water, but have you considered that babies also drink water?" It's the kind of argument that sounds clever until you think about it for five seconds.

Here's what Altman's dismissiveness ignores: AI data centers are already straining water supplies in drought-prone regions. A single large language model training run can use as much water as a small town. Data centers need water for cooling—lots of it. And unlike humans, who at least have the decency to spread out geographically, AI infrastructure concentrates in specific regions.

The comparison to human resource consumption is particularly galling. Humans are, you know, humans. We have intrinsic value beyond our productivity. AI models are tools. Comparing the two reveals more about Silicon Valley's value system than it does about environmental policy.

Altman's company is building infrastructure that uses extraordinary amounts of resources. Municipal water authorities in places like Arizona and Texas are raising concerns about data center water demands competing with residential and agricultural use.

This is the tech industry's climate reckoning moment. The question isn't whether AI is useful enough to justify its resource consumption—that's a legitimate debate. The question is whether dismissing environmental concerns as "fake" is a responsible way for a CEO to engage with the issue.

I've built tech. I know the difference between genuine innovation and hype. AI has real applications. But so does water. And last I checked, you can't train a language model to make it rain.