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Most AI adoption stories start with a bold vision and a big budget. Argonne National Laboratory's story starts with a travel manual. Jesse Henning, Library and Information Manager at Argonne, joined Jon Herstein on the latest episode of the AI-First Podcast to talk about how one of the world's most advanced research institutions is approaching AI with the same mindset they apply to their most sensitive scientific experiments. Carefully. Deliberately. With safety built in from the start. The conversation is full of insights that apply well beyond the research world: 👉 AI without context is just fast guessing. The first time Argonne asked AI to find records without clear criteria, it pulled out 300 when they needed a handful. Once they told it what mattered, it got it right immediately. 👉 The supervised autonomy trap is real. Adding a human approval gate to every AI output does not make your workflow smarter. It makes your manual process slightly faster. The real unlock is building governance into the architecture. 👉 Start with what people hate doing. The AI pilots that stick are the ones that remove daily drudgery nobody wanted in the first place. "We wouldn't push a piece of scientific instrumentation to its physical limit. We don't do that with AI either." Watch the full episode here: https://lnkd.in/gTDsiPgq

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