alt Hacker News> I swear people should start blacklisting CEOs and refuse to work under them if they're part of the blacklist.
Look at the job market. They know they can get away with it and so they don't care.
My current theory is that this is partly why executives are desperate to get AI to work, and why investors are ploughing billions into AI. They know they've burnt too many bridges, and they need AI to work so they never have to turn to us again. Otherwise the pendulum will swing even farther in the opposite direction, putting even more bargaining power in the hands of employees than the post-COVID job market.
Unfortunately, AI does seem to be working very well, and I don't see great outcomes for us on the current trajectory. I expect turmoil before a new social contract is established.
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It seems AI code is producing technical debt at an alarming speed. What many people think of as "AIs don't need code to be pretty" is misunderstanding the purpose of refactoring, code reuse, and architectural patterns that AIs appear to skip or misunderstand with regularity. A reckoning will come when the tech debt needs to be paid and the AIs are going to be unable to pay it, the same way it happens when humans produce technical debt at a high rate and do not address it in a timely manner.
Your theory is wrong.
Someone will inevitably have to prompt AIs, CEOs and other executives are NOT going to be doing it themselves. The people driving those AI will have greater leverage as less and less people choose a career in tech.
Also, when an AI fucks up in a way only a human can fix, the human must be available.
What I see more likely is a future where software engineers do even less work but frustratingly you still need them around to fix problems whenever they come up. Kind of like firefighters.
> Unfortunately, AI does seem to be working very well, and I don't see great outcomes for us on the current trajectory.
The people decreasing headcount are already behind the curve. They're thinking about how many people they need to run things instead of how many people they need to reinvent an industry.