# The throughput trap: AI-powered teams ship more code but deliver less > Source: > Published: 2026-08-11 07:36:53+00:00 **Key takeaways** - Tokens, lines of code, and pull requests measure **activity**, not** business impact**. - AI can increase developer output while **shifting the bottleneck** into review, testing, integration, and maintenance. **Leaders should measure the full path from idea to customer value**, then use AI where the real constraint lies. We have all seen the posts by now. Technical and non-technical people alike are celebrating how they use [AI agents ](https://leaddev.com/technical-direction/how-to-prepare-for-ai-agents)to [maximize their code output](https://leaddev.com/ai/as-ai-helps-us-write-more-code-whos-catching-the-bugs). They share the number of lines generated, pull requests (PRs) opened, tasks completed, and tokens consumed. The numbers are oftentimes enormous, which makes them easy to celebrate.