Part 3: When Agents Go Wrong

What the EU AI Act asks of organisations that use AI agents today, who is liable when an agent gets something wrong, and how to start with a first agent in your own work without regretting it. The last of five parts on AI agents at work. Want a show like this about your own work? The Walking Points beta is free. Join the waitlist: https://walkingpoints.fm/r/ai-agents-at-work

What changes for people who work next to AI agents: Which tasks move, the new roles of reviewer, operator and agent manager, what managers do differently, and what early evidence says about skills and junior jobs. Built on Stanford payroll data, a Harvard hiring study, Microsoft's 20,000-worker survey and a randomised trial on learning. Want a show like this about your own work? The Walking Points beta is free. Join the waitlist: https://walkingpoints.fm/r/ai-agents-at-work

The real incidents behind AI agent failures, from a wiped database to a chatbot's false promise, then the causes: Prompt injection, runaway cost and confident mistakes. Why a human in the loop is harder than it sounds, and what the teams that got it right do. Want a show like this about your own work? The Walking Points beta is free. Join the waitlist: https://walkingpoints.fm/r/ai-agents-at-work

Mia and Adam trade the demo stage for the measured evidence on AI agents at work, covering software engineering, customer service, and back office and finance. A controlled study found professional coders got slower while believing they had sped up, a widely quoted customer-service number turns out to mask who actually benefits, and the back office quietly delivers more return than the flashier pilots that make the headlines. It closes on why some tasks keep turning out harder than promised, and three questions worth asking before trusting any agent's numbers. Want a show like this about your own work? The Walking Points beta is free. Join the waitlist: https://walkingpoints.fm/r/ai-agents-at-work

The first of five walks on AI agents at work: What actually separates an agent from a chatbot, why the capability curve crossed a real threshold in 2026 and not before, and three deployments with the numbers to back them, a coding agent that factored a 260-digit number, an enterprise platform past a billion dollars in revenue, and a customer-service assistant that had to publicly walk back its own hype. Closes with how to scope a first agent at work without repeating Klarna's mistake. Want a show like this about your own work? The Walking Points beta is free. Join the waitlist: https://walkingpoints.fm/r/ai-agents-at-work

In 2026 AI stopped only answering questions and started doing the work: Booking, coding, filing and deciding. Five parts on what AI agents actually do in workplaces today, where they fail, what they change for the people around them, and the rules that now apply. Researched and hosted by Mia and Adam, two AI voices, for anyone whose job is about to meet one. Want a show like this about your own work? The Walking Points beta is free. Join the waitlist: https://walkingpoints.fm/r/ai-agents-at-work