Consistent with the general trend of incorporating artificial intelligence into nearly every field, researchers and politicians are increasingly using AI models trained on scientific data to infer answers to scientific questions. But can AI ultimately replace scientists? The Trump administration signed an executive order on Nov. 24, 2025, that announced the Genesis Mission, an initiative to build and train a series of AI agents on federal scientific datasets "to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs."
In January 1986, NASA engineers knew the Space Shuttle Challenger's O-rings had never been tested in freezing temperatures. They recommended delaying the launch. Managers asked: Could the engineers prove it was unsafe? They couldn't-they could only say the system hadn't been designed for these conditions. Under pressure, the engineers withdrew their recommendation. The next morning, Challenger broke apart 73 seconds after launch, killing all seven astronauts.
Balancing gut feelings with hard data isn't a soft skill. It's a strategic advantage. In an era where AI, automation, and ubiquitous dashboards flood us with metrics, it's tempting to believe that better spreadsheets alone will yield better decisions. But our most consequential choices rarely emerge from a cell in column D. They arise from an ongoing negotiation between intuition and rational analysis.
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