Schmidt argues AI could reduce corporate coordination work and change staffing needs
The former Google chief’s example of a 10,000-person company is an attributed prediction, not a measured universal job-loss rate.
Former Google chief executive Eric Schmidt has argued that AI agents could reduce the work involved in coordinating large organisations. In an October 21 conversation with Nicolai Tangen on In Good Company, he suggested that a hypothetical company with 10,000 employees might need a couple of thousand fewer people.
That example expresses Schmidt’s judgement about possible organisational change. It is not a finding from a representative employment study, a forecast for a named employer or evidence that a fixed share of every company’s jobs can be removed.
Coordination becomes the focus
Schmidt’s discussion centres on the effort spent gathering updates, planning and moving information between teams. The podcast’s official description places the conversation in a wider discussion of agents, corporate leadership and superintelligence.
AI may make some of these activities easier, but a job usually combines several responsibilities. Passing information is different from resolving a disagreement, recognising when an exception matters or accepting responsibility for a decision. Evaluating the technology at task level makes that distinction visible.
Productivity does not dictate one staffing outcome
An organisation can use saved time to take on more work, improve service, change roles or reduce headcount. Which outcome follows depends on demand, management decisions and the work that remains. A prediction about technical capability cannot settle those choices by itself.
The useful implication of Schmidt’s remarks is to examine how coordination actually works before reorganising it. Teams can identify repetitive handovers, check whether an assistant improves them and retain clear ownership when judgement is required. Evidence from that workflow is a firmer basis for staffing decisions than treating an illustrative estimate as a universal rule.
Sources
- [Eric Schmidt: The Age of Agents, Superintelligence, and Why Europe Is Falling Behind](https://www.nbim.no/no/nyheter-og-innsikt/podkast-in-good-company/2026/eric-schmidt-the-age-of-agents-superintelligence-and-why-europe-is-falling-behind/) — Norges Bank Investment Management - [Interview transcript and discussion](https://podscripts.co/podcasts/in-good-company-with-nicolai-tangen/eric-schmidt-the-age-of-agents-superintelligence-and-why-europe-is-falling-behind) — In Good Company / Podscripts
*Image: AI-generated editorial illustration; not a photograph of a documented event or an authentic product screen.*