Drug discovery AI stops predicting single steps: agents now plan, synthesize and test in a loop, graded on a six-level autonomy spectrum
AI in drug discovery is shifting from single-task prediction tools to agents that decompose a goal, call tools and replan on experimental feedback, and a review grades these systems on a six-level autonomy spectrum, placing today's most advanced work at Levels 2 to 4.