> "Wow that company has so many employees and yet, in practice, does so little"

Some of it is real need for things like support, payments, and compliance in a bunch of languages and jurisdictions and across a bunch of platforms and combinations of platforms.

A lot of it's just that large businesses tend to be shockingly inefficient, often taking literally many hundreds of person-hours to do things that a small company or small team might do in low-tens. Coordination costs are high, processes are often really bad in ways that nobody who could fix them is empowered to, serious principal-agent problems are the norm rather than the exception, et c.

One of the weirdest things to me about the AI craze is that I don't see how it fixes organizational problems, and most big orgs are already burning more cash on waste due to those than they could possibly gain from fairly-optimistic LLM gains. Like, if they wanted to 5x development speed, they already can without a single LLM involved, by managing better. They could have done that ten years ago. All the more wild that they're flipping out over LLMs. You can't even come close to efficiently organizing the resources you already have...