alt Hacker News> I don’t think a lot of us employees will be happy to admit that AI is turning out to be a legitimate productivity aid that is allowing individuals to accomplish more work per person.
Growth companies respond to efficiency by asking "what can we do now that we can get more done."
Stagnant companies say "how can we cut costs."
The math is pretty simple. If you expect that doing more will have positive ROI, you do more; if you think your position is about as strong as it can ever be, and don't have ideas for growing the space or your spot in it, you assume that more spend on new things would be negative ROI.
And if you're stagnant and there are prevailing narratives giving you an excuse to cut costs without scaring investors into thinking you've lost optimism, you jump on it even if you haven't even verified if the productivity gains are real for your employees.
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Essentially what I am suggesting is companies leaving growth phase or who are generally “stagnant” to not just cut employee headcount but instead redeploy them to seek out new opportunities. This is especially true if the company isn’t facing any pressing financial crisis or net loss.
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You are thinking growth in product and opportunities. But that doesn't always require or translate to more engineering especially in the face of AI efficiency if that work to support that growth can come from AI (NOTE: I'm not saying it can; I believe some people believe and are acting like it can which is enough). For these people the new bottleneck to growth may be new market segments, adoption and integration which could mean more sales like staff - AI seems more of a boon to the non technical, AI hypers and sales pitchers IMO than it is to engineers. On a side note personally this makes the industry less desirable to work in - it devalues effort/intelligence/craftsmanship/product and values connections, marketing, status and "the hustle" a lot more.
As the supply curve of software becomes more vertical due to AI the argument that growth equals a proportional amount of engineering demand may be violated. We may see 2x growth in some companies even as the "people engineers" are cut. They could still be pursuing growth; it just that engineering costs are now lower or are less of a need to pursue that growth in general.
AI is the first technology that I've seen that has potentially hurt technology engineering demand rather than creating it; which is why the usual arguments don't always apply here.