1000 Dollars to Bottleneck

~440 Words | ~2min Read

For roughly $1,000 a month, individual developers can now produce 10x the output they could five years ago. This isn’t theoretical—it’s happening now. But there’s the tension in that headline. That 10x development speed doesn’t automatically translate to 10x business value. In fact, it often reveals a hidden crisis.

The problem isn’t technical. It’s economic and organizational. We’re now paying for two cost streams instead of one. You have fixed subscription costs (Licencese) , and variable usage costs (Tokens). And as your team learns to use AI effectively, those token costs will fluctuate. While they are learning, costs will spike. As they land on suitable patterns, they will plateau. Finally, optimization and fine-tuning will bring the usage down some. Engineering leaders need to understand what they’re actually trying to buy. It’s not lines of code, but functionality that reaches customers. That’s the real unit of value.

But there’s a catch. That tension from the headline I mentioned. The Theory of Constraints tells us every system has one real bottleneck. For years, that bottleneck appeared to be developer productivity. Now it’s shifted. AI has compressed development time-costs. But what about our approval processes, governance reviews, and deployment pipelines? We designed them for the old pace of delivery. Consdier this: your review board takes six months to approve a design. And now your developers can build that design in two weeks. You haven’t gained anything. Developers can’t work on the next design because it’s still in review. You’ve just created expensive idle time!

The math on this is brutal! Divide your backlog depth by 10. Is the resulting depth shorter than your approval cycle time? If so, developers become a cost center waiting for permission! Good news though: This crisis is preventable. But only if you act now!

Start by understanding your real costs and your real bottleneck. Calculate what you’re actually spending on developer time plus token usage. Then ask: where do decisions get made in your process? Use decision velocity metrics. Track whether approvals happen at the Directly-Responsible-Individual (DRI) level (0) or get escalated up the chain (+1, +2, +N). Those escalation patterns reveal your bureaucratic bottlenecks. Work to reduce the score, move decisions down the orgnaization. And that means putting money where your mouth is. And then, help do the same for your business proposals!

Run a pilot program. Experiment with controlled autonomy. Define acceptable risk boundaries and new decision-making rules upfront. Let your team learn what AI can do while you learn what your organization can safely automate. Because the real 10x isn’t in code generation. It’s in aligning development velocity with organizational throughput. That’s where the value actually lives.