It’s true, although the smart companies aren’t laying off workers in the first place, because they’re treating AI as a tool to enhance their productivity rather than a tool to replace them.
I don’t know if it even helps with productivity that much. A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc. I mean, it’s fine for a quick Python script or whatever but that might save an experienced developer 20 minutes max.
And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point? All the nuance is lost. Specialized A.I. is great! I’m all for it combing through giant astronomy data sets or protein folding and stuff like that. But I don’t know that I’ve seen generative A.I. without a specific focus increase productivity very much.
As a senior developer, my most productive days are genuinely when I remove a lot of code. This might seem like negative productivity to a naive beancounter, but in fact this is my peak contribution to the software and the organization. Simplifying, optimizing, identifying what code is no longer needed, removing technical debt, improving maintainability, this is what requires most of my experience and skill and contextual knowledge to do safely and correctly. AI has no ability to do this in any meaningful way, and code bases filled with mostly AI generated code are bound to become an unmaintainable nightmare (which I will eventually be paid handsomely to fix, I suspect)
If your job is just doing a lot of trivial code that just gets used once, yeah I can see it improving productivity.
If your job is more tackling the least trivial challenges and constantly needing to understand the edge cases or uncharted waters of the framework/tool/language, it’s completely useless.
This is why you get a lot of newbies loving AI and a lot of seniors saying it’s counter productive.
Microsoft did the June layoffs we knew were coming since January and pinned it on “AI cost savings” so that doing so would raise their stock price instead of lower it.
It’s true, although the smart companies aren’t laying off workers in the first place, because they’re treating AI as a tool to enhance their productivity rather than a tool to replace them.
I don’t know if it even helps with productivity that much. A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc. I mean, it’s fine for a quick Python script or whatever but that might save an experienced developer 20 minutes max.
And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point? All the nuance is lost. Specialized A.I. is great! I’m all for it combing through giant astronomy data sets or protein folding and stuff like that. But I don’t know that I’ve seen generative A.I. without a specific focus increase productivity very much.
As a senior developer, my most productive days are genuinely when I remove a lot of code. This might seem like negative productivity to a naive beancounter, but in fact this is my peak contribution to the software and the organization. Simplifying, optimizing, identifying what code is no longer needed, removing technical debt, improving maintainability, this is what requires most of my experience and skill and contextual knowledge to do safely and correctly. AI has no ability to do this in any meaningful way, and code bases filled with mostly AI generated code are bound to become an unmaintainable nightmare (which I will eventually be paid handsomely to fix, I suspect)
Getting to deprecate legacy support… Yes please, let me get my eraser.
I find most tech debt resolution adds code though.
Fuuuck, this infuriates me. I wrote that shit for a reason. People already don’t read shit before replying to it and this is making it so much worse.
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Idk about engaging productivity.
If your job is just doing a lot of trivial code that just gets used once, yeah I can see it improving productivity.
If your job is more tackling the least trivial challenges and constantly needing to understand the edge cases or uncharted waters of the framework/tool/language, it’s completely useless.
This is why you get a lot of newbies loving AI and a lot of seniors saying it’s counter productive.
Does anyone have numbers on that? Microsoft just announced they’re laying off around 10k.
Microsoft did the June layoffs we knew were coming since January and pinned it on “AI cost savings” so that doing so would raise their stock price instead of lower it.