Forget the safety debates for a moment; an AI slowdown is coming, dictated not by ethical considerations or existential risks, but by the hard, unyielding laws of physics and economics. The exponential growth we’ve witnessed in AI capabilities, fueled by Moore’s Law and massive data centers, is hitting fundamental limits. The energy required to train and run these colossal models is becoming astronomically expensive and environmentally unsustainable, pushing the boundaries of what’s economically viable. Furthermore, the physical infrastructure—the chips, the servers, the cooling systems—is reaching its own thermodynamic ceiling. We’re approaching a point where the marginal cost of further advancements, in terms of both energy and raw materials, will simply outweigh the marginal benefit, forcing a recalibration of our expectations and a potential plateau in the relentless march of AI progress. This isn’t a choice; it’s an inevitability that will reshape the future of artificial intelligence, regardless of how we address its safety implications.
Adapted from: WSJ.com: Markets
