I don't think anyone is happy that AWS is missing the bus on AI.
I don't think anyone is happy that AWS is missing the bus on AI.
Amazon has a partnership with and investment in Anthropic, but I don't consider Anthropic to much good for various technical reasons not having to do with their model. Essentially, Anthropic is user-hostile in many ways. Also, Anthropic keeps spamming me daily with pointless legal changes, sneakingly adding marketing materials into their legal emails.
The talent is repeatedly run off by managers and executives who don't know how to manage talent. At this point, I'm convinced it's actually part of the Amazon culture to not excel at AI/ML. Mediocre, or else. It's so weird (and abusive) to be around. 10/10 not a rewarding place to work.
I am personally more surprised that Microsoft did not miss that train with AI and now are pretty aggressive with integration of AI everywhere. Though I wonder if Microsoft would not have missed mobile and search if Nadella was CEO after Gates. Satya is ruthless. Even despite not being first in cloud, they still are able to compete with AWS.
And AI is moving way too fast and the execs who took a wait and see approach are now in panic mode. AI tooling should be a straight forward investment regardless of outcome.
Adam Selipsky -> Was an Harvard MBA
Andy Jassy -> Joined as Marketing manager as Harvard MBA
Matt Garman -> Was first product manager of EC2 but also a business MBA
Jeff Bezos for all his slightly goofy style, graduated from Princeton with degrees in Electrical Engineering and Computer Science. In the meanwhile people like James Hamilton, Werner Vogels, or others that could look like their heirs are very, very invisible.
My prediction is that Jeff Bezos will be back within 2 to 3 years if not sooner.
I don't know much about Selipsky or Garman, but Jassy absolutely was/is technical enough to get to AWS to where it was today (or know when not to get in the way of those more technical than him).
Watch any of his interviews from before he was Amazon CEO. The man knew his shit.
One example: Amazon generated $14.65 billion from its advertising services. And Google a gazillion more. But if I send an AI agent searching for me or shop on Amazon, they don't care about the ads.
Let me give some concrete examples:
- Decisions like having the 3 availability zones, at a minimum, and with no exceptions, for every Region, come up of minds like James Hamilton. They are driven first from an ambition of technical quality, then you just tell the MBA's how much it will cost... If you run it via an MBA they will just see it as a nice to have. And that is why for GCP or Azure those are not always there.
- Decisions like the development of the Nitro System are again comming from a quality ambition. Then again...you just tell the MBA's how much it will cost.
Did you notice since 2023 Amazon made over 30,000 layoffs including this year by the hundreds within AWS? Technical roles who can find jobs at Netflix, Google or OpenAI or Microsoft or others look...And make their conclusions...And yes many of those are also doing layoffs
Wall Street is currently full of praise for the stunning balance sheet performance of Amazon, but Wall Street MBA's never see more than the next quarter.
Now go listen to the available recording of Amazon last Q1 earnings call, and amaze yourself with the softball questions, almost like a battle of flowers, that earnings calls transformed themselves into nowadays.
For example you will not hear the following critical questions, and for which there are no answers in the earnings release document, from any of the analysts in the call:
- How much of the net income growth can be attributed to cost-cutting measures versus new business growth?
- What are the primary factors contributing to the much lower profitability of the International segment compared to North America?
- What is Amazon's strategy for addressing the increasing competition in the cloud computing market, particularly from companies like Microsoft and Google?
I wonder when we can start drawing the conclusions we already have in our minds.
Who knows? We’ve all been hoping to see Sergey Brinn and Larry Page to come back to google for like ten years now?
I’m not sure I would hold my breath
Hasn't Meta committed to becoming an AI leader and releasing their models for free? Users will need to run those models somewhere.