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Comment by deterministic | Hacker News Reader

I completely agree. If AI can't do 100% of a job then you can't remove the job.

And most jobs that can be automated already has been automated using traditional software.

If AI does 90% of the work, you can either do more work with your current staff, or fire a portion and have them do the same amount of work.

Nope you can't. Because you need to do N x 10% work and N x babysit the AI making sure it doesn't make mistakes.

Remove the job.. but have one super skilled coordinator managing and teaching agents the last 10% (or doing the 10% of the job)

A lot of jobs that can be automated haven't been because it's not worth it is because the people with domain knowledge can't imagine automating it is other related problems.

I'm not sure if LLMs will change that or not

You can replace it with a much lower paid employee though.

A lower paid and less qualified employee won’t be able to spot when the AI screws up.

Having a higher-paid, qualified employee supervising multiple AIs as the human only needs to spot for mistakes - maybe.

I'm not sure that's entirely true. For most things, checking if a solution is correct is much easier than implementing it (page looks wrong, can't login etc...)

You’re looking at the end result, I’m looking at implementation. Engineering management, not QA.

You definitely cannot. Code org, architecture, and system design are senior level roles and responsibilities.

AI is already aware of the best practices. It does not just blindly do what you ask of it in the simplest way.

Best practices are always situation dependent.

Claude code will prompt you and explain to you what practice fits a situation. It might not do it perfectly, but the foundations are there.

That's not growth. Growth is having the existing employee do more.

I'm not arguing about growth. I was addressing this statement which seems to presume that AI has no effect if the job can't be removed.

> If AI can't do 100% of a job then you can't remove the job.

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