Lucas and Luna dig into the quiet revolution happening inside AI agents: they're not just answering questions anymore, they're negotiating contracts, haggling over software licenses, and even settling disputes. The episode kicks off with a surprising stat — ServiceNow's stock jumped 16.5 percent in five days after it unveiled an agentic negotiation layer — and then traces how we got here, from simple rule-based bots to today's large language models that can read context, gauge tone, and make trade-offs. Lucas breaks down the underlying tech: game theory meets reinforcement learning, and he names real examples like AWS's new negotiation agent and a startup called Pactum that's already handling millions of micro-negotiations. Luna pushes back on the hype, asking whether these agents are truly strategic or just doing sophisticated pattern matching. They explore the ethical stakes — what happens when an AI fights for a raise on your behalf, or when two bots haggle over a supply contract with no human in the loop. The episode closes with a look at where this is heading: a world where negotiation is a service, and humans are the ones who need to learn the skill. If today's tech conversation gave you something usable, the show stays ad-free thanks to listener support at buy me a coffee dot com slash fexingo.