Jyunmi Hatcher

Cloud-based autonomous labs like the one at Carnegie Mellon allow research to design and run experiments remotely without owning the hardware.

If self-driving labs become shared infrastructure, the way supercomputers and telescopes already are,

A research team at a small university could access the same experimental throughput as well as a well-funded pharmaceutical company.

That is genuine democratization of opportunity.

Through whether it materializes depends on whether access is kept open or concentrated among the companies building these platforms.

So, AI-powered labs, self-driving labs?

It's happening, and it seems to be only improving as they're building better and more advanced versions.

I do like that comparison of shortening from 20 years to one year and 100 million to 1 million.

That is a metric that you can really sink your teeth into and kind of hold them to what their progress is like.

And I'm always a fan of lowering the barrier so that even the small guy can get in there and achieve greatness.

Well, that's it for our AI and science story.

Before we close up for the day, was there anything else we need to cover?

All right.

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Aloha.

Aloha, everyone, and welcome on this Wednesday morning, February 25th, 2026.

Today, we're going to bring you some AI news.