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From the CNN report [1]: --- Al won’t just effect change at Amazon, Jassy said. AI "will change how we all work and live," including "billions" of AI agents “

From the CNN report [1]: --- Al won’t just effect change at Amazon, Jassy said. AI "will change how we all work and live," including "billions" of AI agents “across every company and in every imaginable field." However, much of this remains speculative. "Many of these agents have yet to be built, but make no mistake, they’re coming, and coming fast," Jassy said. --- [1] _ https://lite.cnn.com/2025/10/28/business/amazon-layoffs https://lite.cnn.com/2025/10/28/business/amazon-layoffs

nothrowaways 1y ago
Replace Jassy with AI
- iLoveOncall 1y ago
  GPT-1 or GPT-2, which would match his reasoning abilities, are unfortunately deprecated, so we can't.
- wiseowise 1y ago
  They will. But by the time it happens, Jassy already made millions in cash + much more in stocks and will retire comfortably while others will slave away for new AI overlords.
random9749832 1y ago
Prepare for the bogeyman.
gedy 1y ago
"Agents" is now a word on my corporate bullshit bingo card
schnable 1y ago
Continually AI is used to justify layoffs that seem like simple corrections to overhiring.
- HacklesRaised 1y ago
  I always wonder if the people responsible for the over-hiring are on the block? My personal experience suggests not.
  - schnable 1y ago
    I think it depends on the company. I don't know how bad of a problem it is for big businesses like Amazon. Sure there's some lost profits and a write-down with the layoff, but it's not like Amazon hasn't been successful and profitable in the meantime. The overhiring may be justifiable as a defensive strategy. I was at a smaller public company that overhired during COVID then struggled with profits (among other things). CEO and leadership lost a ton of money due to the share price drops from COVID peaks and CEO was ultimately pushed out.
  - mikeocool 1y ago
    Most boards(particularly of large publicly traded tech companies) don't hire CEOs to ensure their companies remain stable in the longterm at the expense of profits, they hire them to grow short term profits. Boards don't see the over-hiring as a mistake. On the contrary, had CEOs not moved to grow their companies relentlessy and pursue profits in the years during/after COVID when tech was booming, their boards would have fired them. Now that times are leaner, they need to rein in spending to maintain profits -- if they dont do that, then they'll be fired.
cromd 1y ago
Their addition of AI into Quicksight (their BI tool) really cemented for me how much they're willing to bluff to look relevant. They launched the AI addition at least a year ago, but recently rebranded the whole thing as "Quick Suite", promoting new AI capabilities. It really just seems like a new skin, with more purple. So far, out of 4 people at my org who tried it, all were disappointed after upgrading. I get much better results from sending a CSV to ChatGPT and asking for a graph. It just doesn't seem to work out of the box. I test drove it on 20 BI questions, and for trivial questions, it gets about 50% right, and for more nuanced questions, it gets about 20% right. For example, I have a table like "people" with a column like "job_title" which has 10 possible values in an uneven distribution, and I asked "what fraction of people are nurses?". It gives me a pie chart where each slice wrongly gets 10%, because of the 10 possible values. Or if I asked what the mix by decade was, it would just show a flat line, 10% each period. Then you have the more tricky questions, like "show me the revenue for each of the top 3 products in each quarter". It calculates an all-time top 3 first, and then shows the same products each quarter, instead of redoing it within each quarter. Reasonable enough, but when you try to correct it, it just gets stuck, possibly with an even worse answer, and there's no way out of the loop. Why would they let executives touch something so half-baked?

nothrowaways 1y ago

Replace Jassy with AI

iLoveOncall 1y ago
GPT-1 or GPT-2, which would match his reasoning abilities, are unfortunately deprecated, so we can't.
wiseowise 1y ago
They will. But by the time it happens, Jassy already made millions in cash + much more in stocks and will retire comfortably while others will slave away for new AI overlords.

random9749832 1y ago

Prepare for the bogeyman.

gedy 1y ago

"Agents" is now a word on my corporate bullshit bingo card

schnable 1y ago

Continually AI is used to justify layoffs that seem like simple corrections to overhiring.

HacklesRaised 1y ago
I always wonder if the people responsible for the over-hiring are on the block? My personal experience suggests not.
- schnable 1y ago
  I think it depends on the company. I don't know how bad of a problem it is for big businesses like Amazon. Sure there's some lost profits and a write-down with the layoff, but it's not like Amazon hasn't been successful and profitable in the meantime. The overhiring may be justifiable as a defensive strategy. I was at a smaller public company that overhired during COVID then struggled with profits (among other things). CEO and leadership lost a ton of money due to the share price drops from COVID peaks and CEO was ultimately pushed out.
- mikeocool 1y ago
  Most boards(particularly of large publicly traded tech companies) don't hire CEOs to ensure their companies remain stable in the longterm at the expense of profits, they hire them to grow short term profits. Boards don't see the over-hiring as a mistake. On the contrary, had CEOs not moved to grow their companies relentlessy and pursue profits in the years during/after COVID when tech was booming, their boards would have fired them. Now that times are leaner, they need to rein in spending to maintain profits -- if they dont do that, then they'll be fired.

cromd 1y ago

Their addition of AI into Quicksight (their BI tool) really cemented for me how much they're willing to bluff to look relevant. They launched the AI addition at least a year ago, but recently rebranded the whole thing as "Quick Suite", promoting new AI capabilities. It really just seems like a new skin, with more purple. So far, out of 4 people at my org who tried it, all were disappointed after upgrading. I get much better results from sending a CSV to ChatGPT and asking for a graph. It just doesn't seem to work out of the box. I test drove it on 20 BI questions, and for trivial questions, it gets about 50% right, and for more nuanced questions, it gets about 20% right. For example, I have a table like "people" with a column like "job_title" which has 10 possible values in an uneven distribution, and I asked "what fraction of people are nurses?". It gives me a pie chart where each slice wrongly gets 10%, because of the 10 possible values. Or if I asked what the mix by decade was, it would just show a flat line, 10% each period. Then you have the more tricky questions, like "show me the revenue for each of the top 3 products in each quarter". It calculates an all-time top 3 first, and then shows the same products each quarter, instead of redoing it within each quarter. Reasonable enough, but when you try to correct it, it just gets stuck, possibly with an even worse answer, and there's no way out of the loop. Why would they let executives touch something so half-baked?