ChatGPT can now write code to run lab equipment — removing the biggest barrier keeping non-programmers out of experimental science

Researchers showed that large language models like ChatGPT can write working control software for complex laboratory instruments, eliminating the need for specialized programming expertise. This means a biologist or chemist can now describe what they want an instrument to do in plain language, and the AI will generate the code — removing a technical barrier that has historically locked non-programmers out of custom experimental setups.

For decades, building or modifying lab equipment required hiring a programmer or learning to code — a barrier that kept most experimentalists dependent on commercial turnkey systems or forced them to work within narrow constraints. This changes the economics of experimental design. A researcher can now iterate on instrument control in conversation with an AI, testing ideas that would have required weeks of programmer time or been abandoned as impractical. The actual constraint shifts from "can I write the code" to "do I have the equipment and the science question." That's a structural shift in who can build what.