LG Unleashes AI-Powered Autonomous Lab, Revolutionizing Scientific Discovery by Year-End

LG is set to launch its cutting-edge AI-run autonomous laboratory by the end of this year, a game-changer where robots and artificial intelligence will independently manage the entire experimental process, from identifying new chemical compounds to detailed analysis. This groundbreaking facility, revealed at the LG AI Talk Concert 2026, aims to dramatically speed up scientific discovery and industrial problem-solving by letting AI not just automate, but actively decide on and learn from experiments. In a stunning early success, LG Household & Health Care, using LG EXAONE Discovery system, found a hair-loss mitigation substance called Rhamsydil in just one day, a task that typically eats up 22 months of research time. This autonomous lab is a core piece of LG AI Research wider 'Expert AI' strategy, designed to tackle tough industry challenges across science, manufacturing, and finance. Unlike general-purpose AI, these specialized models are trained to excel in specific domains, combining advanced AI for experiment design with precision robotic arms. The company is already putting this to work, collaborating with LG Chem on next-generation immersion cooling fluids for AI data centers and exploring new materials with GS Caltex. This move positions LG at the forefront of the global race to leverage AI and robotics for faster, more efficient R&D, a trend gaining serious traction in materials science and chemistry. Looking ahead, LG plans to expand its 'Physical AI' initiatives, aiming for 'autonomous factories' where AI orchestrator will oversee entire production lines, coordinating robots, inspection systems, and optimization modules. This vision, which includes collaborations with tech giants like Nvidia for humanoid robots and AI factories, signals a future where AI not only provides answers but also takes decisive actions in the real world. The continued development of foundation models like EXAONE and the focus on ethically grounded AI systems are expected to drive significant advancements, making research and industrial operations far more efficient and innovative.