Software teams are measuring AI features by retention, workflow fit, and operational value instead of launch-day novelty.
AI features are forcing design systems to handle uncertainty, streaming states, citations, and correction flows.
AI software vendors face more scrutiny as buyers compare usage pricing, margins, and the actual productivity returned by new features.