Falling AI Costs Don't Mean Saving Money
BlackHC · x · 2026-07-16
This post responds to an AI fact-checking article, with the author emphasizing that several points remain valid:
- Memory shortages are a real issue; Gartner noted that sub-$500 PCs might disappear by 2028
- Power grid strain is a genuine concern
- AI's profit model remains unsolved
They also make a sharper point: efficiency gains don't naturally translate to cost savings. Instead, they are reinvested into expanding capabilities—a classic case of the Jevons Paradox—rather than being a case of "engineers doing a bad job."
Related event: Idle GPUs and Power Shortages Highlight AI Economic Bottlenecks(3 posts)→
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