Krause: Large Alloy Manufacturers Are Bearish on AI for Science Hype
Joseph Krause · 🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI · Jun 17, 2026 · at 52:57
Joseph Krause, CEO of Radical AI, discusses how incumbent materials manufacturing companies view AI-driven discovery.
0:00 / 0:18exact quote · 18.3s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“We do talk to a lot of companies in our field who make materials at scale in, in the alloy space who are thinking about this, and they look at it from a different lens. You know, they're not all hype on AI for science, and actually I'd say a lot of them are kind of bearish. They're like, you don't know what we know, and we've been doing it for a long time, and that's okay.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Joseph Krause
Krause: AI models cannot qualify new aerospace alloys without physical experiments
“A model can't figure out your way through the qualification pipeline for a new alloy for a jet turbine. You have to do experiments to do that”
Krause: Materials industry is constrained by experiments, not compute
“We're not compute constraint in the materials industry. We're experiment constraint.”
Krause: China will beat the US in R&D without automated self-driving labs
“That's how I think we can compete. That's the only way we can compete. I think if we want to move forward, if we do not do that, then they will continue to win because they will outpace us on cost and they will outpace us on people.”
Krause: Most AI models will be open source in five years
“We actually think in five years, most models will be open source.”