AI and the Capability Trap

It's become clear to me that successful AI transformation requires more hiring, not less.

That sounds counterintuitive, and I've spoken to many senior leaders who are frustrated that they're not seeing wider adoption of AI in their businesses. Everyone is looking to AI for cost reduction, and the default move is to create pressure: tighten the belt, push to "do more with less," and expect new tools to fill the productivity gap. Somehow this is expected to motivate the employees to embrace the change.

We are already seeing cracks in this approach. Look at Meta: despite an aggressive push into AI, recent reporting points to record-low employee morale alongside surging internal AI costs. High pressure, high spend, and low morale is rarely the recipe for durable transformation.

As someone who has spent over a decade building a business, I understand how leaders justify these decisions. After learning about system dynamics, I think there is a problem: Pressure doesn't force transformation. It often stalls it.

The Capability Trap

My brilliant professors John Sterman and Nelson Repenning taught me about the Capability Trap: when an organization is overloaded and lacks spare capacity, it stops investing in the very capabilities that would make it better. People just work harder, burn out, and lose the ability to change the system.

That is the exact risk with AI today.

If your teams are drowning in deliverables, they don't have the mental space to rethink their workflows. If you cut headcount early, the tacit knowledge you need to map those workflows walks out the door.

AI transformation isn't primarily a technology problem. It's a workflow problem.

You cannot automate or augment work you haven't deeply understood. And you cannot deeply understand it without the participation of the people actually doing the work.

The winning move might be the hardest one to sell right now: create slack (or if you want a board-room friendly version: A strategic reserve of spare capacity).

Give your teams the capacity to step back, document their knowledge, rethink their processes, and actually build new agentic systems. That might mean temporarily hiring more capacity so the organization can reap the benefits in the long term.

Workflow first. Technology second. Real transformation follows.