The AI Model Glut Has Outpaced Our Ability to Learn

The relentless release cycle of large language models and AI systems has created a saturation problem: organizations and individuals now face more capable tools than they can evaluate, integrate, or master within realistic timeframes. This inverts the traditional tech adoption curve where scarcity drives competition and urgency. Abundance instead breeds decision paralysis and waste, as teams abandon half-implemented systems to chase the next release while vendors compete on novelty rather than solving actual user problems.