Jassy wrote that employees should learn how to use AI tools and experiment and figure out “how to get more done with scrappier teams.”
The directive comes as Amazon has laid off more than 27,000 employees since 2022 and made several cuts this year. Amazon cut about 200 employees in its North America stores unit in January and a further 100 in its devices and services unit in May.
Amazon had 1.56 million full-time and part-time employees in its global workforce as of the end of March, according to financial filings. The company also employs temporary workers in its warehouse operations, along with some contractors.
As a dev, I gotta be honest, I wish I was 5 years closer to retirement.
Start eith the ceos
I’m sure that’ll end well, especially as generative AI continues to consume more and more content from itself. What could possibly go wrong?
Amazon is the new Sears and looks like it will end similarly.
Not really, amazon has a very diverse income stream and AWS isn’t going to stop making them obscene money.
Plus with project Kupier starting to launch they will have another infinite money printer just like SpaceXs starlink that has been generating significant revenue for them.
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Although controversial, I support this move as it will lead to the eventual demise of Amazon. I hate to be a technology accelerationist, but fuck Amazon.
The nation’s workforce. Forbes predicts a 25% reduction in the US job market by 2035, and Republicans included a provision in the budget reconciliation that prohibits any regulations on AI technology for 10 years to ensure that happens.
It absolutely wont. The only people who believe this are trying to sell AI, or repeating the ones selling AI.
Nobody has a marketable AI product, nobody is making any money on AI, nobody is effectively using AI as a replacement for workers except in the content-slop industry. Not out of charity, but because LLMs can’t do the things that are being constantly promised.
Amazon spend a hundred billion dollars on AI, and made 5 billion on it. That’s income, not profit. OpenAI is scraping together more capital because they’re going broke from not having a product to sell. Everyone using LLMs for anything right now is paying FAR under operating costs, and would stop immediately if they weren’t being funded by VC.
LLMs are not personnel replacement ready yet. ML is rapidly taking over logistics and manufacturing.
Sure, a mechanical sorting machine using ML software is something completely different from what they’re talking about here though
Machine learning is a subset of AI, just as large language models are. They’re referring to text input machine learning as generative AI here:
Amazon is using generative AI broadly across its internal operations, including in its fulfillment network where the technology is being deployed to assist with inventory placement, demand forecasting and the efficiency of warehouse robots, Jassy said.
It’s only considered generative based on the user input method of text or speech. If it learned solely from observation, it would be considered machine learning, and if it used algorithms to create the most efficient model of itself, it would be considered deep learning. They’re all forms of AI though.
That’s gonna be a lot of people unable to afford their bread and circuses.
How is AI supposed to throw the wrong item in a box that is far too large without any packing material?
I mean, that is what it would do if it had a physical form, but it doesn’t.
The only workforce that can be reduced by LLMs are those that just send emails back and forth and don’t actually do any real work.
The fact that Executives and Middle-managers are also the highest paid part of the workforce, maybe it can reduce payroll after all.
Even for those, it won’t, because those people are either:
- Actually making decisions. or B. Jobs on paper for nepos.
When the decisions they are making are “Outsource everything to India/China/ChatGTP” and “Fire all the employees doing the work”, they can quite easily be replaced.
Since AI are capable of absorbing vast ammounts of information, and if well coded and trained can avoid a lot of human biases, I would believe that AI could do well in a management position, and since this is simply a way to save money, they should go for the highest position to replace, the CEO.
