Zero RFI
You hired a 40-person design team. You’re paying for 40 people. But how many of those people are actually doing the thinking that matters?
This is the question AI is forcing into the open. And for building owners, the answer is going to reshape what good project delivery looks like, and what you should be paying for.
What headcount actually measures
The traditional model of professional services is built on people. More staff equals more capacity. A bigger team means more bandwidth. It’s intuitive. It’s also becoming less and less true.
AI is compressing the work that used to require ten people into the work that three people can handle. Not because the three people are working harder, but because the tools they have are genuinely powerful. Drafting, coordination, documentation, routine analysis. These tasks are moving fast toward automation.
What’s left is judgment. Context. Accountability. The person who can look at a 300-page output and know immediately what’s wrong with it. The person who knows your project, your business, and your risk tolerance well enough to make the right call under pressure.
That person’s value just went up significantly. The person who was filling time doing tasks a machine can now do, their role is changing.
What this means on your project
You’ve probably noticed that some of your service providers are more responsive than others. Some flag problems early. Some explain tradeoffs clearly. Others generate volume (reports, drawings, submittals) without the insight that helps you make decisions.
AI doesn’t change that distinction. It sharpens it. The firms that will actually move your project forward are the ones where every person in the room has genuine expertise and genuine judgment. Not the ones with the biggest org chart.
This isn’t an argument for hiring tiny firms. It’s an argument for asking different questions when you evaluate a team. Don’t just ask how many people they’re assigning. Ask what each person is responsible for. Ask how they make decisions when things go sideways. Ask what tools they’re using and how those tools change what you should expect.
Revenue per head is a signal worth reading
There’s a metric worth understanding: revenue per employee. It measures how much output a firm generates per person on payroll. In high-performing, technology-enabled companies, this number is substantial. The best software firms generate millions of dollars per employee.
Most AEC firms are nowhere close. But that gap is closing, and the firms that close it fastest will look very different from the ones that don’t.
They’ll be smaller. More expert. More reliant on tools that multiply their output. And paradoxically, they’ll often be more responsive and more effective for their clients than larger firms with more people and more process overhead.
The owner’s advantage
Most owners miss this: the shift underway is actually good for you.
The old constraint was that high-quality, personalized service didn’t scale. You could get a great small firm that knew your business deeply, or you could get a big firm with more resources but less attention. The middle ground was messy.
AI changes that equation. A 25-person firm with the right tools can deliver intimacy at the scale of a 250-person operation. They can handle documentation, coordination, and analysis without adding headcount. What you get is focused expertise, people who know your project cold, without losing capacity.
But only if you know how to look for it.
What to watch for in your next hire
When you’re evaluating firms, pay attention to how they talk about their team structure. Do they describe roles in terms of hours and deliverables? Or do they describe roles in terms of decisions and accountability?
The firms building for this new reality are the ones who can tell you exactly who is responsible for what, not just who is assigned to it. They have senior people doing senior work, not senior titles on an org chart that funnels everything through junior staff.
The question isn’t how many people are on your project. It’s who they are and what they’re actually doing.
Ask that directly. The answer tells you a lot about what you’re really buying.
