The AI org-chart experiment | BCG's Julie Bedard on accountability, error rates and token spend

Roughly a third of companies now talk about AI as a teammate or an employee, and between a fifth and a third say it has already carried over into the org chart. The argument for doing it has always been familiarity: give people a human reference point and they will use the thing. Julie Bedard and her co-authors tested that with 1,200 to 1,300 managers in HR and finance, all reviewing the identical document, with only the stated author changed. Adoption intent did not move. Personal accountability dropped, escalations rose, and reviewers who thought an AI employee wrote the work caught fewer errors and passed them on. Timestamps: 03:08 - BCG's 10/20/70, and the 70% nobody budgets for 05:44 - The experiment: one document, three different "authors" 08:59 - The finding that killed the familiarity argument 11:27 - "Our governance systems haven't caught up with agents" 17:25 - Reviewers caught fewer errors and escalated more 23:34 - Test track versus New York City at rush hour 27:56 - Token-based competition, and why usage is the wrong thing to reward 36:04 - The first 90 days for a CHRO or a chief AI officer