A single data point from one Reddit user is not a trend, but it is a mirror. A familiar tension emerges: a small team of seven, a workload of three or four production AI projects a year, and a pile of additional analyses that sit outside that core mandate. What stands out is the isolation. The user says the team rarely collaborates. That is not a workflow quirk. That is a ceiling on what AI can deliver inside a company.
When AI work becomes a solo sport, the projects themselves suffer. A model built in a silo is a prototype in search of a problem. The user is delivering, but the delivery is linear: one project ends, another begins, and the accumulated knowledge stays in one head. That might work for a single use case, but it does not scale into a capability. The company gets a few models, not a practice. The team gets busier, not better. The gap between what AI could do and what it actually does widens with every project that ends without a shared lesson.
The practical takeaway for anyone reading this is not to demand more headcount or a fancier tool. It is to change the default from delivery to workflow. That means asking different questions. Not "How do I finish this model?" but "Who else needs to understand what I learned?" Not "How do I hit the number?" but "How does this project make the next one faster?" The user's own numbers show the pressure: three or four projects a year is a steady cadence, but if each one starts from zero, the team is leaving most of its potential on the table. A shared framework, a common set of patterns, a repository of failures and fixes, these turn individual effort into institutional momentum.
The companies that will feel the least pain are the ones that treat AI as a team sport, not a hero's journey. That does not require a massive platform or a dedicated MLOps crew. It requires a simple commitment: no project is done until its lessons are documented, shared, and reusable. The user's team of seven does not need to collaborate on every task. They need to collaborate on the process that makes each task easier. Start there. Build a template for handoff. Schedule a thirty-minute retro after each launch. Write the one-page summary that the next person will read. The goal is not to do more projects. It is to make each one cost less in effort and return more in insight. That is how a small team stops being a bottleneck and starts being a foundation.