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I'm certain that if they would start doing that, without a proper strategy / workflow when it comes to QA, it will be GitHub reloaded. You'll be able to watch the decline in real-time.

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But that’s the issue the parent is highlighting, you can’t just throw AI at these problems because the bottleneck is decision making, it always is, and AI is bad at that.

So nothing really changes in terms of product development velocity, it’s just headcount reduction.

But that’s not what their own marketing strategy communicates.

I think what OP means is that these companies keep promising AI is exceptional for one thing but for some reason it's never used for that. The only visible outcome of AI in these companies is that they spend so much on it they end up laying off employees.

Has any of the companies who went all in on AI gotten better at their job because they went all in on AI?

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