>> There’s a bunch of new code, but not anything customers are going to pay more for.
This isn't an AI problem, it's a management issue. Why are you getting devs to build things that aren't going to generate revenue?
This isn't an AI problem, it's a management issue. Why are you getting devs to build things that aren't going to generate revenue?
It’s not just us: where’s the revenue in the entire market? We can see all the public filings. There haven’t been any revenue gains. The only people making money from AI are the LLM providers. And even they are losing money. Even the biggest tech companies are limiting token spend. At best the tech is a new cost just to maintain parity, and I think most businesses look at it as a way to cut dev costs (trading for token spend). I think they will learn that it’s less of a win than they hoped. If a dev was spending 50% of their time coding, and you reduce that to 10% - that’s a big change but it isn’t really making you more because it’s all that time we hate in meetings, understanding customer needs, etc, that make us money.
Identifying the next few things to improve the product is hard work, with market investigation, competitive analysis, synthesizing user feedback... some of this gets faster with LLMs, certainly.
I think most tech companies haven't figured out how to rebalance product to engineering to ensure engineering teams are doing work that grows the business funnel rather than expending tokens on other work.