SAN FRANCISCO – Warning that society must make “hard trade-offs” to sustain the future of artificial intelligence, prominent tech billionaire Sham Vaultman reportedly expressed frustration this week over what he described “non-productive tiny human resources” or also known as children consuming vast amounts of water and electricity that could otherwise be allocated to high-performance data centers.
Speaking at a sustainability forum sponsored by several cloud infrastructure firms, the executive unveiled a series of slides comparing the lifetime resource consumption of a human child to that of a mid-sized AI training cluster, concluding that the latter offered “dramatically superior output per gallon.”
“Look, I’m not anti-human,” he clarified, adjusting a chart labeled ROI: Toddler vs. Transformer Model. “I’m simply asking whether we’ve considered that raising a child for 20 years, feeding them daily, educating them, and hoping they eventually contribute something to society is, from a compute perspective, an extremely inefficient training pipeline.”
Audience members nodded as the billionaire explained that while children require continuous hydration, nutrition, and emotional support, state-of-the-art models only need clean electricity, chilled water for cooling, and the occasional firmware update. “We’re talking about systems that can generate essays, code, and entire business strategies on demand,” he said. “Meanwhile, a six-year-old still can’t reliably tie their shoes without supervision.”
According to sources, the remarks were part of a broader proposal urging policymakers to prioritize “high-yield intelligence infrastructure” when allocating scarce resources such as water, land, and grid capacity. One slide suggested that reallocating just 2% of suburban lawn irrigation could “unlock exponential gains in global cognitive output,” provided the water was redirected to server farms instead of “unstructured biological learners.”
Parents attending the forum reportedly grew uneasy as the executive fielded questions about long-term societal impacts. “Humans are great, of course,” he reassured the room. “Some of my best employees are human. But from a scaling perspective, you can’t just spin up a million more children overnight. With AI, we can deploy new instances instantly. It’s about agility.”
At press time, the executive had announced a pilot program encouraging families to “offset their household child footprint” by subscribing to a premium AI plan, promising that each upgrade would help “train a smarter future without the unpredictability of raising another human.”
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