Meta and X (formerly Twitter) have signed deals to monetize their AI projects, including xAI renting data center capacity to Anthropic for $15 billion per year and Meta charging AI developers for access to advanced models. The moves come as a National Bureau of Economic Research study found that 90% of executives reported no impact from AI on employment or productivity over the past three years. Uber's chief operating officer also noted it's becoming harder to justify AI costs internally.
meta and x are scrambling to make ai profitable. xai is renting server space to rival anthropic for $15b a year, meta is selling model access and even embedding staff at partner companies. meanwhile a study says 90% of execs saw zero productivity gain from ai. uber's coo says the cost justification is getting tough.
These monetization efforts signal that the AI industry is under growing pressure to show real returns after trillions in infrastructure spending. If major players like Meta and X are resorting to renting capacity to competitors and embedding staff, it suggests the promised AI revolution may not be delivering as quickly as expected. The disconnect between investment and actual business impact could lead to a correction in the AI market.
the ai hype machine is hitting a wall. when the biggest players start renting out servers to rivals and embedding engineers just to get their tech used, it's a sign the magic isn't working as advertised. the gap between what was promised and what's delivered is getting hard to ignore, and the bubble might be closer to popping than anyone wants to admit.
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