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How should software engineers adapt to AI-driven layoffs?
11–20 of 26 posts
Re: How should software engineers adapt to AI-driven layoffs?
#12[deleted]
Re: How should software engineers adapt to AI-driven layoffs?
#13It’s funny, when this article was submitted earlier today… https://www.wsj.com/lifestyle/careers/you-blamed-dei-for-hur... Someone said that people would start blaming AI. It’s not AI. There are too many people chasing too few jobs and the BigTech companies aside from Google are focusing on profitable segments. The IPO market is dead and which caused the entire VC Ponzi scheme to collapse. As far as upcoming CS gradu…
New grads will work for less and less compensation?
Re: How should software engineers adapt to AI-driven layoffs?
#14It’s funny, when this article was submitted earlier today… https://www.wsj.com/lifestyle/careers/you-blamed-dei-for-hur... Someone said that people would start blaming AI. It’s not AI. There are too many people chasing too few jobs and the BigTech companies aside from Google are focusing on profitable segments. The IPO market is dead and which caused the entire VC Ponzi scheme to collapse. As far as upcoming CS gradu…
New grads will work for less and less compensation?
And they are spending months doing negative work. How much use are new grads for the first year? Especially with remote work, you can find plenty of experienced CRUD/enterprise/framework devs willing to work for $125K.
Re: How should software engineers adapt to AI-driven layoffs?
#15So, Salesforce stops hiring software engineers, but OpenAI has 20 pages of open positions? That doesn't sound quite right.
That makes complete sense to me. OpenAI is selling shovels and putting $$$ into improving and selling those shovels. Salesforce (and other app builders) are buying those shovels (AI) to lower costs to build applications
Keeping this analogy, I guess it would be like not using shovels to build a shovel factory. Obviously, OpenAI needs a group of very talented experts, which are not getting replaced by AI soon, but they hire for all kinds of positions, including regular software engineers.
Re: How should software engineers adapt to AI-driven layoffs?
#16Start a food company. People need to eat.
That's where my thoughts are
Re: How should software engineers adapt to AI-driven layoffs?
#17I recently wrote my thoughts on this topic. https://github.com/paradite/ai-replace-swe Short answer: Leverage AI, become more productive with AI and make sure you can output more value than just AI itself. Also move up the value chain to product management, team management.
It’s a strange idea that team management is going to be more valuable if individual engineers are more productive.
I’m actually _more_ worried about team managers than line engineers when it comes to AI impact.
Re: How should software engineers adapt to AI-driven layoffs?
#18Learn a trade.
Re: How should software engineers adapt to AI-driven layoffs?
#19Earlier quoted context omitted.
That makes complete sense to me. OpenAI is selling shovels and putting $$$ into improving and selling those shovels. Salesforce (and other app builders) are buying those shovels (AI) to lower costs to build applications
Keeping this analogy, I guess it would be like not using shovels to build a shovel factory. Obviously, OpenAI needs a group of very talented experts, which are not getting replaced by AI soon, but they hire for all kinds of positions, including regular software engineers.
Even if OpenAI hires 1000 people this year at $1M salary each, that’s just $1B. This year they plan to spend $8.7B. People they hire are still competitive with their best models, so why not hire people?
Though I’ll be surprised if they’re still hiring two years from now.
Re: How should software engineers adapt to AI-driven layoffs?
#20I recently wrote my thoughts on this topic. https://github.com/paradite/ai-replace-swe Short answer: Leverage AI, become more productive with AI and make sure you can output more value than just AI itself. Also move up the value chain to product management, team management.
It’s a strange idea that team management is going to be more valuable if individual engineers are more productive. I’m actually _more_ worried about team managers than line engineers when it comes to AI impact.
AI can’t attend meetings and converse with humans on other teams to understand what the priorities are, what features need to be built, what issues are happening, etc.