I Manage AI Agents Now, Not People

I manage AI agents now, not people. I run Orbyt with a fleet of Claude Code agents instead of a team of humans. The work that used to be motivation, 1:1s, and morale is now specification, tests, and review. Half of management transferred cleanly. The other half, the human half, simply went away. This is what the shift is actually like, what it costs, and what it means for anyone whose title still says "manager."

You do not motivate an agent. You specify it.

I am not describing the orchestration plumbing here. How the terminals run is a separate story. This is about leadership: what happens to the job of directing work when the workers are not people.

What changes the moment your reports are agents?

The single hardest part of management disappears. Getting a human to want the work, to care, to show up engaged on a Tuesday, is the central labor of leading people. With agents, that labor is zero. An agent does not need to be inspired. It needs to be told, precisely, what "done" looks like.

So the job inverts. With people, you spend most of your energy on the want and a little on the what. With agents, the want is free and the entire job becomes the what. Clarity stops being a nice-to-have and becomes the only thing that matters.

The valuation of a manager is being rewritten in real time. Wang Guanchun, CEO of Laiye, told the World Economic Forum that the metric is no longer how many people report to you. It is how many digital workers you can direct, and how well you prompt them to do their best work. That single shift quietly kills the org chart.

What manager skills actually transfer?

Five carry over, untouched. They were always the real job.

Clarity transfers. A vague spec produces vague work whether the worker is human or machine. Agents are just more honest about it. They build exactly what you said, which exposes every gap in what you meant.

Delegation transfers. Knowing what to hand off, scoped correctly, with the right context, is the same muscle. Agents punish bad delegation faster, but the skill is identical.

Setting the bar transfers. A team rises or sinks to the standard the leader enforces. With agents, the standard is encoded in tests and audits instead of spoken in meetings, but it is the same act of refusing to accept "good enough."

Review transfers, and gets bigger. The manager who can look at finished work and see what is wrong is now doing that all day. Review is no longer a gate at the end. It is the job.

Taste transfers, and matters most of all. Agents generate infinite options. Only judgment picks the right one. Knowing what good looks like, and why, is the one thing that does not commoditize.

I kept the half of management that was leadership and deleted the half that was overhead.

What skills stop mattering entirely?

Four evaporate, and they are not small.

Motivation is gone. No pep talks, no recognition programs, no reading the room. The energy I used to spend making people care is just deleted.

Politics is gone. No managing up, no turf, no alliance maintenance. An agent has no agenda to manage around.

Career growth is gone. There is no one to promote, no development plan, no stretch assignment. The agent on its thousandth task is the same agent it was on its first.

Morale is gone. There is no team mood to protect, no burnout to watch for, no culture to tend. The fleet does not have a bad week.

Be honest about that list. Three of the four were the human heart of management. Removing them is efficient, and it is also a real subtraction. I will come back to the cost.

How does the new management stack work?

It has three layers, and a manager occupies the top one.

The operator sets intent. You decide what gets built, why, and what "correct" means. This is product judgment and standard-setting, compressed into specs.

The agents execute. They write the code, the tests, the pages, the migrations. They work in parallel, tirelessly, at a volume no human team matches.

The verification layer reviews. Tests, audits, and harnesses catch what the agents get wrong before it reaches production. On Orbyt that means over 11,000 tests and a 35-dimension audit harness standing between an agent's output and a customer.

Andrej Karpathy framed the why. In an interview summarized by Simon Willison, he sets the bar for a real agent as an intern or employee you could hand work to, and argues today's agents do not yet clear it: not capable enough to be left autonomous, missing the intelligence, multimodality, computer use, and continual learning it would take. That is exactly why the human stays on top of the stack. The agent does the work. I verify it. Every passing test is a thing I no longer have to read by hand, and every failing one is feedback that arrives in seconds instead of a sprint.

The 1:1 is dead. The spec and the test replaced it. My feedback loop is no longer a weekly conversation. It is a passing or failing assertion.

What does this do to span of control?

It detonates the most boring metric in management. For most of history, the limit on how many people one leader could direct was coordination cost. Talent was never the ceiling. Coordination was.

Economists now model AI not as a tool that does tasks but as something that compresses that cost directly. Alex Farach's paper AI as Coordination-Compressing Capital treats agent capital as an input that reduces the friction of supervising work. In his newsroom example, one section editor's span rises from about 3.3 reporters at zero agent capital to 20 at higher capital. When coordination cost falls, the middle layer becomes redundant and the top can supervise everyone directly.

This is already visible in human orgs. Gallup measured average direct reports per manager rising from 10.9 in 2024 to 12.1 in 2025. Gartner forecasts that through 2026, 20% of organizations will use AI to flatten structure, eliminating more than half of current middle-management positions. Treat that as a forecast, not a finished fact. The direction is not in doubt.

The deeper signal comes from the data. Babina, Fedyk, He, and Hodson, in NBER Working Paper 31325, combined worker resumes with job postings and found that firms investing in AI flatten their hierarchies. The share of senior roles falls, the share of junior roles rises, and the workforce skews more educated and more specialized. The pyramid loses its middle.

I do not put a count on my fleet, because no honest number lives outside my own logs. The qualitative truth is enough. One person now directs the work of many. The constraint is no longer headcount. It is how much judgment the operator can supply.

What is actually lost when the team is gone?

The honest answer is a lot, and the bill arrives late.

There is no mentorship. No junior learning the craft by watching someone senior work through a hard problem. No culture, because there is no one to share it with. No team, in the human sense that made the good days good.

And there is a pipeline I am not building. Knowledge at Wharton makes the case plainly. Cutting junior and management layers severs the path that turns juniors into seniors and seniors into leaders, because that transfer needs prolonged mentorship that disappears when the seats are gone. The cost is invisible now and structural later. It surfaces in 2030, not this quarter.

I will not pretend that trade is free. I gained leverage that would have been impossible with a team. I lost the thing a team was. Both are true. A leader who calls this shift pure upside has not run it.

What should a manager do about this?

Stop measuring yourself by headcount. The leaders who win the next decade are not the ones with the biggest teams. They are the ones who can turn intent into specification, set a bar high enough to enforce through tests, and review output faster than agents can produce it.

Invest in the skills that transfer. Clarity, delegation, taste, and review are now your entire job, so get exceptional at them. The WEF puts it bluntly: prompting and judgment become core management skills, while empathy and ethics stay human. Its Future of Jobs Report 2025 expects 39% of workers' core skills to change by 2030.

Then decide, deliberately, what human capacity you keep. The mentorship and culture you delete are real losses. Some of them you may want to rebuild on purpose, with the few humans you keep, rather than lose by default.

The constraint on your span was never talent. It was coordination, and AI just removed it.

See this in practice: Orbyt, built and run solo, the first product out of Purecraft.

Related reading:

• I Run a Stack of Terminals. The Bottleneck Was Never the Code.
• Are You Actually AI-Native? The Test
• Why the Future Belongs to X-Shaped Leaders
• No Agent Ever Got Fired. managing agents means owning their output
• Leaders Who Don't Build Are Guessing why directing agents fuses the leader and the builder into one role