AI agents: where autonomy breaks past five steps

MBA Training AI · Sep 4, 2026 · 4m · transcript

Every vendor now ships an "AI agent", so what is actually different from a chatbot? The answer here is mechanical: an agent wraps a language model in a think, act, observe loop and lets it call tools such as search, email, code execution or a database query. The position taken is that autonomy multiplies errors rather than averaging them out, and that 90 percent reliability across ten chained steps leaves about a 35 percent chance of finishing correctly. You walk away with a test for any pitch: count the steps, ask what happens when step four is wrong and who catches it. Examples include…