An article in The AI Journal examines the emerging risks of agentic AI systems in life sciences, where incorrect outputs can translate directly into harmful actions rather than remaining theoretical errors. The piece highlights concerns about autonomous AI agents operating in biological and pharmaceutical research environments where mistakes may have significant practical consequences. The analysis suggests that the industry must develop new safeguards and oversight mechanisms tailored specifically to agentic AI applications in these high-stakes domains.