The Little Engine That Could: How Small Language Models Are Rewriting the Economics and Strategy of AI

Introduction: From Scale Obsession to Efficiency Dominance For much of the past decade, progress in artificial intelligence has been synonymous with scale. The dominant paradigm—pursued by leading organizations such as OpenAI, Google, and Meta—rested on a simple assumption: larger models trained on more data with greater computational resources would yield superior intelligence. This approach produced…