In a quiet but consequential turn, researchers have built a system called Virtual Biotech — not a tool that answers questions, but a community of thousands of AI agents that ask them. Positioned at the intersection of artificial intelligence and pharmaceutical science, this multi-agent framework attempts to replicate the collaborative dynamics of a human research team, distributing the vast complexity of drug discovery across specialized agents that communicate, hypothesize, and iterate together. The ambition is to compress timelines that have historically spanned decades and consumed billions