Mark Zuckerberg Freezes AI Hiring Amid Bubble Fears
Original: Mark Zuckerberg freezes AI hiring amid bubble fears
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Regulars are buzzing about Mark Zuckerberg's sudden AI hiring freeze, sparking a lively debate about the tech giant's competence and strategic decision-making. Commenters riff on the whiplash-inducing about-face, with some joking that Meta signed massive contracts without a plan, while others speculate that the company may have been trying to scoop up talent before the market reacted. The discussion is laced with humor, with one commenter sarcastically suggesting that Meta's metaverse will be populated by AI characters, artificially inflating user metrics. As the conversation unfolds, it becomes clear that the community is both perplexed and entertained by the apparent flip-flopping, with many questioning the wisdom behind Meta's aggressive AI expansion.
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Perhaps it was this: Lets hit the market fast, scoop up all the talent we can before anybody can react, then stop.
I don't think there is anybody that would expect they would 'continue' offering 250million packages. They would need to stop eventually. They just did it fast, all at once, and now stopped.
Do I have this timeline correct?
* January, announce massive $65B AI spend
* June, buy Scale AI for ~$15B, massive AI hiring spree, reportedly paying millions per year for low-level AI devs
* July, announce some of the biggest data centers ever that will cost billions and use all of Ohio's water (hyperbolic)
* Aug, freeze, it's a bubble!
Someone please tell me I've got it all wrong.
This looks like the Metaverse all over again!
The MAU metric must continue to go up, and no one will know if it’s human or NPC
They're taking stock of internal staff + new acquisitions and how to rationalize before further steps.
Now, I think AI investments are still a bubble, but that's not why FB is freezing hiring.
Like a toddler collecting random toys in a pile and then deciding what to do with them.
They've also arrogantly gone against consumer direction time and time again (PowerPC, Lightning Ports, no headphone jack, no replaceable battery, etc.)
And finally, sometimes their vision simply doesn't shake out (AirPower)
Remember when he pivoted the entire company to the meta-verse and it was all about avatars with no legs? And how proud they trumpeted when the avatars were "now with legs!!" but still looked so pathetic to everyone not in his bubble. Then for a while it was all about Meta glasses and he was spamming those goofy cringe glasses no one wants in all his instagram posts- seriously if you check out his insta he wears them constantly.
Then this spring/summer it was all about AI and stealing rockstar ai coders from competitors and pouring endless money into flirty chatbots for lonely seniors. Now we have some bad press from that and realizing that isn't the panacea we thought it was so we're in the the phase where this is languishing so in about 6 months we'll abandon this and roll out a new obsession that will be endlessly hyped.
Anything to distract from actually giving good stewardship and fixing the neglect and stagnation of Meta's fundamental products like facebook and insta. Wish they would just focus on increasing user functionality and enjoyment and trying to resolve the privacy issues, disinformation, ethical failures, social harm and political polarization caused by his continued poor management.
Maybe he's like this because the first few times he tried it, it worked.
Insta threatening the empire? Buy Insta, no one really complains.
Snapchat threatening Insta? Knock off their feature and put it in Insta. Snap almost died.
The first couple times Zuckerberg threw elbows he got what he wanted and no one stopped him. That probably influenced his current mindset, maybe he thinks he's God and all tech industry trends revolve around his company.
DONT TOUCH THE MONEY-MAKER(S)!!!!
As a board member, I'd rather see a billion-dollar bubble test than a trillion-dollar mistake.
Easy, you finished building up a team. You can only have so many cooks.
Like do people here really think making some bad decisions is incompetence?
If you do, your perfectionism is probably something you need to think about.
Or please reply to me with your exact perfect predictions of how AI will play out in the next 5, 10, 20 years and then tell us how you would run a trillion dollar company. Oh and please revisit your comment in these timeframes
It’s not perfectionism, it’s a desire to dunk on what you don’t like whenever the opportunity arises.
> If you do, your perfectionism is probably something you need to think about.
> Or please reply to me with your exact perfect predictions of how AI will play out in the next 5, 10, 20 years and then tell us how you would run a trillion dollar company.
It's the effect of believing (and being sold) meritocracy, if you are making literal billions of dollars for your work then some will think it should be spotless.
Not saying I think that way but it's probably what a lot of people consider, being paid that much signals that your work should be absolutely exceptional, big failures just show they are also normal flawed people so perhaps they shouldn't be worth million times more than other normal flawed people.
He’s earned almost all his money through owning part of a company that millions of shareholders think is worth trillions, and does in fact generate a lot of profits.
A committee didn’t decide Zuckerberg is paid $30bn.
And id say his work is pretty exceptional. If it wasn’t then his company wouldn’t be growing. And he’d probably be pressured into resigning as CEO
Being rewarded for creating a privacy destroying advertising empire, exceptional work. Imagine a world where the incentives were a bit different, we might have seen other kind of work rewarded instead of social media and ads.
The other thing - Peter's principle is that people rise until they hit a level where they can't perform anymore. Zuck is up there as high as you can go, maybe no one is really ready to operate at that level? It seems both him and Elon made a lot of bad decisions lately. It doesn't erase their previous good decisions, but possibly some self-reflection is warranted?
Google gave me a paywalled link to FTCWatch that supposedly has the details, but I can’t check.
FB acquired IG because it was blowing up in SF and MZ (other leaders too) were looking at how quickly it appeared to be growing and how good it was.
Insta was a huge hit for sure but since then Meta Capital allocation has been a disaster including a lot of badly timed buybacks
the product is used by advertisers to sell stuff to those humans.
Then they can bankroll their own new entrepreneurial ideas risk-free, essentially.
I have hundreds of hours building and tinkering on the original kickstarter kit and then they sold to FB and shut down all the open source stuff.
It’s easy to cherry pick a few bets that flopped for every mega tech company: Amazon has them, Google has them, remember Windows Phone? etc.
I see the failures as a feature, not a bug - the guy is one of the only founder CEOs to have ever built a $2T company (trillion with a T). I imagine part of that is being willing to make big bets.
And it also seems like no individual product failure has endangered their company’s footing at all.
While I’m not a Meta or Zuck fan myself, using a relatively small product flop as an indication a $2T tech mega corp isn’t well run seems… either myopic or disingenuous.
Oculus Quest are decent products, but a complete flop compared to their investment and Zuck's vision of the metaverse. Remember they even renamed the company? You could say they're on betting on the long run, but I just don't see that happening in 5 or even 10 years.
As an owner of Quest 2 and 3, I'd love to be proven wrong though. I just don't see any evidence of this would change any time soon.
Even if they aren’t great products or just wither into nothing, I don’t think we will be see a HBS case study in 20 years saying, “Meta could have been a really successful company, but were it for their failure in these two product lines”
There are literally books that make this argument from insider perspectives (which doesn't mean it's true, but it is possible, and does happen regularly).
A basketball team can be great even if their coach sucks.
You can't attribute everything to the person at the top.
He is a very hands CEO, not one who is relying on experts to run things for him.
In contrast, I’ve heard that Elon has a very good senior management team and they sort of know how to show him shiny things that he can say he’s very hands on about while they focus on what they need to do.
Facebook made the transition to mobile faster than other competitors and successfully kept G+ from becoming competition.
The instagram purchase felt insane at the time ($1b to share photos) but facebook was able to convert it into a moneymaking juggernaut in time for the flattened growth of their flagship application.
Zuck hired Sheryl Sandburg and successfully turned a website with a ton of users into an ad-revenue machine. Plenty of other companies struggled to convert large user bases into dollars.
This obviously wasn't all based on him. He had other people around him working on this stuff and it isn't right to attribute all company success to the CEO. The metaverse play was obviously a legendary bust. But "he just got lucky" feels more like Myspace Tom than Zuckerberg in my mind.
And what did he do to keep G+ from becoming a valid competitor? It killed itself. I signed up but there was no network effect and it kind of sucked. Google had a way of shutting down all their product attempts too
That has a lot to do with the fact that it's a business centric company. His acumen has been in user growth, monetization of ads, acquisitions and so on. He's very similar to Altman.
The problems start when you try to venture into hard technological topics, like the Metaverse fiasco, where you have to have a sober and engineering oriented understanding of the practical limits of technology, like Carmack who left Meta pretty frustrated. You can't just bullshit infinitely when the tech and not the sales matter.
Contrast it with Gates who had a serious programming background, he never promised even a fraction of the cringe worthy stuff you hear from some CEOs nowadays because he would have known it's nonsense. Or take Apple, infinitely more sane on the AI topic because it isn't just a "more users, more growth, stonks go up" company.
> The instagram purchase felt insane at the time ($1b to share photos) but facebook was able to convert it into a moneymaking juggernaut in time for the flattened growth of their flagship application.
Facebook's API was incredibly open and accessible at the time and Instagram was overtaking users' news feeds. Zuckerberg wasn't happy that an external entity was growing so fast and onboarding users so easily that it was driving more content to news feeds than built-in tools. Buying Instagram was a defensive move, especially since the API became quite closed-off since then.
Your other points are largely valid, though. Another comment called the WhatsApp purchase "inspired", but I feel that also lacks context. Facebook bought a mobile VPN service used predominantly by younger smartphone users, Onavo(?), and realized the amount of traffic WhatsApp generated by analyzing the logs. Given the insight and growth they were monitoring, they likely anticipated that WhatsApp could usurp them if it added social features. Once again, a defensive purchase.
It is no secret that the person who turned Facebook into a money-printing machine is/was Sheryl Sandberg.
Thus, the evidence is clear that Mark Zuckerberg had the right idea at the right time (the question is whether this was because of his skills or because he got lucky), but turning his good idea(s) into a successful business was done by other people (lead by Sheryl Sandberg).
etc. etc.
Wouldn’t that indicate, at least a little bit, a great management move by Zuck?
Do I think he stole it? Dunno. (Though Aaron Greenspan did log his houseSYSTEM server requests, which seems pretty damning) But given what he's done since (Whatsapp, copying every Snapchat feature)? I'd say the likelihood is non-zero
Maybe he's just gambling that Altman is right, saving his money for now and will be able to pick up AI researcher and developers at a massive discount next year. Meta doesn't have much of a presence in the space market right now, and they have other businesses, so waiting a year or two might not matter.
How many people also where at the right place and right time and were lucky then went bankrupt or simply never made it this high?
greed IS eternal
I admire that, in this era where CEOs tend to HYPE!! To increase funding (looking at a particular AI company...)
Did he specify what AGI is? xD
> I admire that, in this era where CEOs tend to HYPE!! To increase funding (looking at a particular AI company...)
I think he was probably hyping too, it's just that he appealed to a different audience. IIRC they had a really plain website, which, I think, they thought "hackers" would like.
[1] https://www.cnbc.com/2025/06/19/meta-tried-to-buy-safe-super...
At the research level it’s not just about being smart enough, or being a good programmer, or even completely understanding the field - it’s also about having an intuitive understanding of the field where you can self pursue research directions that are novel enough and yield results. Hard to prove that without having done it before.
You’re promoting vacuous vanity
Where?
Realistically they have to draw from a small pool of people with expertise in the field. It is unlikely _anyone_ they hire will "strike gold", but past success doesn't make future success _less_ likely. At a minimum I would assume past success is uncorrelated with future success, and at best there's a weak positive correlation because of reputation, social factors, etc.
In this hype cycle, you are in late 1999, early 2000.
https://0g.ai/blog/0g-ecosystem-receives-290m-in-financing-t...
its all bullshit obviously, grift really seems like the way to go these days.
[0] https://www.multpl.com/shiller-pe
Apparently its better to pay $100 million for 10 people than $1 million for 1000 people.
So it depends on the type of problem you're trying to solve.
If you're trying to build a bunch of Wendy's locations, it's clearly better to have more construction workers.
It's less clear that if you're trying to build SGI that you're better off with 1000 people than 10.
It might be! But it might not be, too. Who knows for certain til post-ex?
I always get slightly miffed about business comparisons to gestation: getting 9 women pregnant won't get you a child in 1 month.
Sure, if you want one child. But that's not what business is often doing, now is it?
The target is never "one child". The target is "10 children", or "100 children" or "1000 children".
You are definitely going to overrun your ETA if your target is 100 children in 9 months using only 100 women.
IOW, this is a facile comparison not worthy of consideration.[1]
> So it depends on the type of problem you're trying to solve.
This[1] is not the type of problem where the analogy applies.
=====================================
[1] It's even more facile in this context: you're looking to strike gold (AGI), so the analogy is trying to get one genius (160+ IQ) child. Good luck getting there by getting 1 woman pregnant at a time!
In this case, you want one foundation model, not 100 or 1000. You can’t afford to build 1000. That’s the one baby the company wants.
I am going to repeat the footnote in my comment:
>> [1] It's even more facile in this context: you're looking to strike gold (AGI), so the analogy is trying to get one genius (160+ IQ) child. Good luck getting there by getting 1 woman pregnant at a time!
IOW, if you're looking for specifically for quality, you can't bet everything on one horse.
At some point, even companies like Meta need to make a limited number of bets, and in cases like that it's better to have smarter than more people.
Your designing one thing. You're building one plant. Yes, you'll make and sell millions of widgets in the end but the system that produces them? Just one.
Engineering teams do become less efficient above some size.
You might well be making 100 AI babies, and seeing which one turns out to be the genius.
We shouldn’t assume that the best way to do research is just through careful, linear planning and design. Sometimes you need to run a hundred experiments before figuring out which one will work. Smart and well-designed experiments, yes, but brute force + decent theory can often solve problems faster than just good theory alone.
https://en.wikipedia.org/wiki/The_Mythical_Man-Month
Has been for a few years now.
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