The age of incredibly powerful ‘manager nerds’ is upon us, Anthropic cofounder says

• The “manager nerds” are coming, Anthropic’s cofounder Jack Clark said.

• He said AI meant managers would “manage fleets of AI agents” and do more with smaller teams.

• Clark said on a podcast that he foresaw managers having “AI agents doing large amounts of work.”

Managers need to have “soft skills” like communication alongside harder technical skills. But what if the job becomes more about managing AI agents than directing people?

Anthropic’s cofounder Jack Clark said AI agents are ushering in an era of the “nerd turned manager.”

“I think it’s actually going to be the era of the manager nerds now, where I think being able to manage fleets of AI agents and orchestrate them is going to make people incredibly powerful,” he said on an episode of the “Conversations With Tyler” podcast released last week.

“We’re going to see this rise of the nerd turned manager who has their people, but their people are actually instances of AI agents doing large amounts of work for them,” he added.

Clark said he’s already seeing this play out with some startups that have “very small numbers of employees relative to what they used to have because they have lots of coding agents working for them.”

He’s not the only tech exec to predict AI agents will let teams do more with fewer people.

Meta CEO Mark Zuckerberg said at the Stripe Sessions conference last week that tapping into AI could help entrepreneurs “focus on the core idea” of their business and operate with “very small, talent-dense teams.”

“If you were starting whatever you’re starting 20 years ago, you would have had to have built up all these different competencies inside your company, and now there are just great platforms to do it,” Zuckerberg said.

Y Combinator CEO Garry Tan said in March that he thinks “vibe coding” — or using generative AI tools to quickly develop and experiment with software development — would help smaller startup teams do the work of 50 to 100 engineers.

“People are getting to a million dollars to $10 million a year revenue with under 10 people, and that’s really never happened before in early-stage venture,” Tan said. “You can just talk to the large language models and they will code entire apps.”

AI researchers and other experts have said there are risks to overreliance on the technology, especially as a replacement for human power, including LLMs having hallucinations and concerns that vibe coding could make it harder in some instances to scale and debug code.