961–970 of 1001 posts
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They are for CEOs and have been for decades. We call them "golden parachutes", and a lot of people hate them.
I assumed we weren't talking about CEOs though. Can't say I've ever heard of a CEO being impacted by layoffs.
I'm going to start calling these "Canary" moments. Assuming we take everything at face value for these sorts of cuts, it creates the following scenario: A company finds itself with surplus labor capacity due to the efficiencies in AI while also posting substantial profit or revenue growth. The company could downsize the workforce to capitalize on short-term efficiencies and increase margins, though this will come at…
This was kind of my read as well. We are increasing our AI usage but not in a way that meaningfully affects our ability to deliver on our product roadmap, so the solution is to cut opex on people so we can devote more to compute. The last bit is obviously speculation but it doesn’t feel like a far leap.
Given the rapid progress in LLM capability in recent history, it's reasonable to expect that continues... at least to some degree.
Consequently, companies are going to need to continue to cut, and delaying those cuts will only leave them in a worse position.
Devil's advocate counterpoint: it's currently unclear where AI does and doesn't provide efficiency gains in a business, so some companies are making headcount reductions without knowing where they should target them
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I will reply here assuming that you posted with good intent. I think that their PR statement is reasonable from an investor perspective. Try to detach yourself from the personal effects of layoffs. In short, they are saying: Thanks to AI, we don't need as many people to run our business. It is pretty clear to me. Sure, you can be angry about the layoffs, but the economics are clear: AI is increasing profitability fas…
As an investor, it sounds fucking stupid. They aren't dogfooding, they're eating all the dogs' food. They fired some talented folks. Folks who could be retrained. Folks whose experience snd expertise is valuable. Don't kid yourself.
The norm - outside of outliers like Warren Buffett - is "when numbers go up then buy when numbers go down then sell".
The financialization / stonkmarketization of everything is slowly destroying our economies like a cancer.
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> 99% of these software startups are basic software that can be handled by a single dev; see Reddit apps and such. This sounds like specious reasoning, similar to the tired old interview question "how would you design Twitter". Twitter is just a table in a RDBMS, isn't it right? Any fool implements that in an afternoon. Except it isn't, and the actual complexity of real world software often lies in festures you are c…
> you are completely oblivious. Sounds like specious reasoning similar to the tired trope of "someone is wrong on the internet and I must correct them". Twitter is in the 1% not the "99% of these..." but don't let reading comprehension get in the way. I was a phonics kid not a 3-cuing student. Reading scores have nose dived since phonics was phased out. So I understand it's not entirely your fault.
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I feel like Amazon isn't a FAANG anymore. (What's the new A? Anthropic?)
Well FAANG is now MANGO and yes Amazon dropped out of the top tier of tech companies on the market per these acronyms. Theres a few others other there gaining popularity which also now exclude Amazon as a top tier tech company. Amazon is successful on the boring utility stuff (logistics, building data centers) but is broadly seen as unable to execute on higher value add things, which keeps it out of the top tier. The…
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Isn’t this illegal?
Only if you're dumb enough to leave a paper trail showing that's what you did.
This is awkward. Exhibit A - September 2025 - "Help build the future" - Cloudflare hires 1111 interns to "help build the future" [ https://blog.cloudflare.com/cloudflare-1111-intern-program/ ] Exhibit B - May 2026 - "Building for the future" - Cloudflare lays off 1100 people, about 20% of their workforce to "continue building the future" [ https://blog.cloudflare.com/building-for-the-future/ ] I'll finish on this quo…
Both of those are true assuming the lay offs come from different demographics. You lay off 1100 who are late in their career for younger people who will work more hours for less. You're building the future with new fresh people instead of the "dead weight"
Can't blame them it's the culture we have now especially in tech, and it's incentivized top-down.
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Both of those are true assuming the lay offs come from different demographics. You lay off 1100 who are late in their career for younger people who will work more hours for less. You're building the future with new fresh people instead of the "dead weight"
Being old doesn't always mean "dead weight". They are dropping experienced people, so from where are young people are going to get experience?
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Unfortunately I think we’ll see more and more of this as companies continue to encourage their employees to use LLMs everywhere and for everything. Eventually they will have to come to terms with the cost of such mandates, and it’s either ask your employees to “use AI less,” or it’s let some percentage go and continue to let the rest burn tokens.
I am perplexed at how it can cost so much. I have been using AI every day, all day for a few months now and I have not even gotten to spending $300 a month. I use Cursor for teams, so we get ~$80 of usage for our ~$40 per member, then we pay Cursor's upcharged API rates from there, and I STILL don't spend more than $300 a month, if that. What the hell is everyone doing with their fucking tokens?
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I believe they meant that the cost of using an LLM is extremely high! There are reports of people spending USD $500~1000 a day! There's the possibility of decoupling of effort and output! Which causes an illusion of work.
What kind of problems do people solve that require this amount of money per month, let alone per day? Is anyone reviewing the output of the generated work (PRs, docs etc)?