Why smaller is smarter: How SLMs make GenAI operational and affordable

I have learned to treat small language models (SLMs) as less of a model category and more of a portfolio strategy. They are the pragmatic answer to a question leaders end up asking sooner or later: How do we scale GenAI across real workflows without turning inference cost, latency, data ownership and boundaries into a systemic risk? The short answer is SLMs make GenAI operational.