How Agentic AI Finally Solves the ML Tax Problem

Agentic AI systems promise to fundamentally reshape machine learning by automating the operational overhead that consumes 80% of data scientists' time. By collapsing the distance between data, compute, and reasoning, autonomous agents can orchestrate the entire ML lifecycle—from feature engineering to pipeline debugging—without manual intervention, finally enabling models to move from notebooks to production at scale.