AI for science is becoming a builder workflow, not a lab demo

The next valuable shift in AI focuses on helping people conduct better investigations, evolving from answering questions to supporting research workflows. This is exemplified by Google's Gemini for Science, highlighting AI tools built around practical research processes. This model is valuable not only for scientists but for anyone who needs to turn messy information into defensible results, encouraging sharper questions and testing assumptions.