churning out assembly code would cost far more in tokens, wouldn't make financial sense for the improved performance which doens't matter that much for most use cases.
enterprises are not dumb, they look at the cost of their ai investment and reevaluate it every quarter. Uber recently capped their AI spending per employee, and then there's this article a couple of days ago: https://finance.yahoo.com/technology/ai/articles/ceos-being-...
the question is, why AI? there are good educational software and games in place that can are fun, engaging and provide meaningful stimulus for children at the age of five.
coding harnesses improvements mattered more than llm improvements this past year. You could solve problems on claude sonnet on claude code that you couldn't solve a year prior.
wouldn't take long for them to find out with the developer bragging about it. he one-shot vibe-coded a sass app (keyword: one-shot), that says alot about the quality.
you mentioned a very good point about scalability. we're seeing alot of productivity gains, but only from SWEs, which are but a very small segment of the global economy. all other economic use cases require thorough last-mile development and iteration that is not too different with current automation tools.