The AI Margin Squeeze: When Every New Customer Costs More to Serve
(Illustration of a profit margin squeezed between client price pressure and rising AI cost to serve in IT companies) Ask any IT services founder what a new customer means, and you’ll hear the same thing: growth. A signed contract, a bigger pipeline, a better quarter. But there’s a question that rar
(Illustration of a profit margin squeezed between client price pressure and rising AI cost to serve in IT companies) Ask any IT services founder what a new customer means, and you’ll hear the same thing: growth. A signed contract, a bigger pipeline, a better quarter. But there’s a question that rarely gets asked in the celebration meeting: what does it cost us to serve this customer?
For decades, the answer was predictable. A new client meant a few more engineers, a few more laptops, and a project manager. The cost scaled in a straight line with revenue, and as long as the rate card stayed healthy, so did the margin.
AI has bent that line. And for many average IT companies, it has bent it in the wrong direction. What “Cost to Serve” Really Means Cost to serve is everything it takes to deliver value to one customer, beyond the obvious salary line.
It includes the people who build the work, the tools they use, the cloud resources they consume, the managers who review the output, the support that follows the launch, and the rework when something goes wrong. Traditional IT firms tracked this loosely. Utilization and billing rates were the headline numbers, and as long as they looked healthy, nobody dug deeper.
That worked when delivery was mostly human effort. It doesn’t work when delivery is a blend of people, models, pipelines, and usage-based bills that change every month. The Promise: AI Will Lower Our Costs Let’s be fair to the optimists.
AI really does reduce effort in many places: Developers get first drafts of code in seconds Test cases can be generated automatically Documentation and release notes take minutes instead of hours First-level support can be handled by chatbots Routine analysis and reporting can be automated Used well, these gains are real. The trouble is what happens to them after they appear. The Reality: Costs Didn’t Disappear.
They Moved. Here’s the part that surprises many leaders. When you remove one kind of cost, you rarely end up with zero.
You end up with a different kind. In AI-assisted delivery, the cost profile shifts in several ways.