Frontier AI companies are extending AI beyond molecular design and screening by connecting research agents with automated wet laboratories. The report says Anthropic proposed the MHS hardware standard to give agents unified access to instruments, while Google introduced VERID, a framework for tracking laboratory states and operation histories. It also reports that Google’s agents completed three design-test-analysis cycles for an adapter-design experiment. OpenAI and Ginkgo Bioworks reportedly ran six cycles involving more than 36,000 reaction combinations and reduced cell-free protein-synthesis costs by about 40%. These demonstrations are described by the report as early closed-loop systems, with data interoperability and reliable laboratory-state modeling still key challenges.