The $20 subscription era is over. Anthropic estimates enterprise developers now spend $900 per month on AI. Microsoft and Windsurf are switching to usage-based billing. Here is what it means for engineering teams.
Hi, my name is Tom Smykowski, I'm a staff full-stack engineer. I build and scale SaaS platforms to millions of users, working end-to-end from system architecture to frontend to mobile. On this blog I analyze how economic shifts in AI tooling affect software development practices.
When mobile phones became available, we paid per SMS and per minute. When the internet arrived, we paid by the megabyte. In both cases, as technology improved, prices went down.
With AI, the pattern is surprisingly different. It seems to bend the laws of economics.
The days when $20 could power serious development work are basically over. According to Business Insider, Anthropic estimates that an enterprise developer spends around $900 per month on their AI tools. Microsoft is changing GitHub Copilot to usage-based billing. Windsurf has moved to quota-based pricing.
This article explores the paradox of cheaper inference but higher user costs, why AI companies appear to be playing a short game, and the 10 behavioral shifts I am seeing across engineering teams adapting to this new reality.
I also share what this means for founding engineers and technical leads planning their budgets, and why teams that build cost-awareness into their culture now will have significant advantages later.