Become a CTO, CEO or even a venture investor. "Here's $100K worth tokens, analyze market, review various proposals from Agents, invest tokens, maximize profit".
You know why not? Because it will be more obvious it doesn't work as advertised.
Also, creating software is much more testable and verifiable than what a CEO does. You can usually tell when the code isn't right because it doesn't work or doesn't pass a test. How can you verify that your AI CEO is giving you the right information or planning its business strategy effectively?
It's one of the biggest reasons that software development and art are the two domains in which AI excels. In software you can know when it's right, and in art it doesn't matter if it's right.
Tests (as usually written, in unit-test form) only tell you that it's not completely broken, they're not a good indicator of it working well otherwise "vibecoded slop" wouldn't be a thing. And the tests themselves are usually vibecoded too which doesn't help much in detecting issues off the happy path.
>you verify that your AI CEO is giving you the right information or planning its business strategy effectively
The same could be said for human CEOs. A lot of them don't really have good success rates either.
You can certainly end up with vibecoded slop that passes all the tests, but it won't pass other forms of evaluation (necessarily true, otherwise you could not identify it as vibecoded slop.)
> The same could be said for human CEOs. A lot of them don't really have good success rates either.
This is part of my point. The tight feedback loop that enables us to judge a model's efficacy in software, doesn't exist for the role of CEO.
It sounds like you're describing Manna by Marshall Brain
* AI can replace knowledge workers - most of existing software engineers, managers of all levels will loose their job and have to re-qualify.
* AI requires human in the loop.
In the first scenario, I see no reason to waste time and should start building plan B now (remaining job markets will be saturated at that point).
In the second scenario, tech-debt and zettabytes of slop will harm companies which relied on it heavily. In the age of failing giants and crumbling infrastructure, engineers and startups that can replace gigawatt burning data center with a few kilowatt rack, by manually coding a shell script that replaces Hadoop, will flourish.
Most probably it will be a spectrum - some roles can be replaced, some not.