AI's Affordability Crisis

The piece examines the escalating costs of training and deploying large AI models, highlighting that only a few tech giants can afford frontier-level compute. It points to a growing gap between investment and returns, predicting a shakeout as companies fail to monetize AI at scale. The author suggests that smaller players and open-source initiatives may be squeezed out, leading to consolidation and reduced innovation. The crisis extends to energy consumption, hardware shortages, and talent wars, making AI's future uncertain without a fundamental shift in approach.