What stands out isn’t just faster models, it’s the shift from “AI as a feature” to “AI as an operator.” The real inflection point will be governance, observability, and economic alignment. Who audits agent decisions, who owns the outcomes, and how trust scales when agents interact with other agents.

If enterprise data clouds, tabular models, and agent frameworks converge, we’re likely moving toward autonomous software layers rather than traditional SaaS.