As this article aludes to, the big issue is we have no reliable industry standard metric for developer productivity. This sets the scene where the c-suite can f

As this article aludes to, the big issue is we have no reliable industry standard metric for developer productivity. This sets the scene where the c-suite can find metrics that tell them AI first strategies are working great, and engineering can find metrics (or experience) that tells them that AI isn't working great at all. So both sides claim victory and the truth becomes unimportant (whatever it may be) to the politics at play. This will feed into existing mistrust, that developers are whiny, just trying to pad out their resume with new shiny, tinkering as opposed to delivering value, and the c-suite are clueless and don't understand engineering. But we've never had a tool before (except maybe outsourcing) that can present itself to either party as either good AND bad depending on your beholding eye. So I feel like the coming years could be politically disasterous. One thing I find curious, is how the biggest tech companies today, got to where they are by carefully selecting 10* engineers, working hard on recruitment and trying to only select the very best. This has given them much comfort and a hugely profitable platform but now some of them seek to undermine and reverse the very strategy that got them there, in order to justify their investment in the technology. For the cynics, the question is, how long can the ship keep holding its course from the work already done combined with AI generated changes? As we see with Twitter and Musks ad-hoc firing strategy, the backend keeps trundling along, somewhat vindicating his decision. What's the canary for tech companies that spend the next few years firing devs and replacing them with AI? Another curious thought is the idea that concepts of maintainability will fly out the window, that the c-suite will pressure engineering to lower pull request standards to accept more autonomous AI changes. This might create an element of hilarity where complex code bases get so unmaintable to the eye that the only quick way of understanding them with be to use an AI to look at them for you. Which leads to what I think a long-term outcome of generative AI might be, in that it ends up being a layer between all human interaction, for better, for worse. I believe its possible to see early seeds of this in recruitment, where AI is used at the recruitment end to filter resumes and some applicants are using AI to generate a "tailor made" resume to adapt their experience to a given job posting. Its just AI talking to AI and I think this might start to become a common theme in our society.