Power is what makes them what they are, not knowledge or skills or empathy.
If you don't like what this thing tells you to do, you just won't. It's not going to fire you. Therefore it's not going to steer the company away from disaster, or towards something good. It will be just a talking box.
A serious point about this is that it's an AI that's an organization. This matters.
People laughed at Gas Town, and at that "Fences, not Sandboxes" article yesterday.[1] They're both AIs set up as an organization, not an emulated human. They're both expensive to operate, because the AI members of the organization spend a lot of time talking with each other. They're both applied to frivolous problems.
Now we have the same concept, applied to a more useful problem. It's time to pay attention. Something important is happening here.
Everybody has been talking about "human-level AI", or "superhuman-level AI". This is a different kind of AI - corporate-level AI. It works and thinks like a company's management. It watches a wide range of data sources and responds to some of them with action, and some with internal discussion within the AIs. It can potentially pay attention to far more inputs than any human. That overcomes a basic problem of corporate organization.
A classic management failure is not paying enough attention to something.
This is usually not a problem for computer systems.
Humans are bandwidth-limited. Teams of AIs are far less bandwidth-limited.
They may soon be outperforming humans for that reason alone.
Think about this for a while. These team AI systems may be very useful.
You're probably totally innocent, but this comes across as being AI-written, especially in the context of an AI problem and when your response is pro-AI. For the next 3-12 months (maybe more, we'll see), I suspect you'll have a lot more success if you shy away from those speech patterns.
Hmm it's being done in a less cheesy way than AI does it.
AI text feels more like "this matters, not less." There's always an "it's x not y" pattern somewhere.
It could be written AI assisted but then look at his account. IMO every HN account that was created before ChatGPT came out has incentive to be written by a human since they have a paper trail before the whole LLM thing happened.
This is at least written by a human, not AI, totally human, (digital) pinky promise ;-)
It saddens me that we're banning speech patterns on HN, not discussing arguments. I have seen this in another thread yesterday(?), where somebody was accused of being an LLM based on speech patterns and downvoted, no further evidence needed. This site used to be above that level.
I mean on the one hand it is annoying because everybody has speech patterns, I like to say "I mean" and "on the one hand" a lot. On the other hand it seems a sort of self-protective recoil, nobody wants to spend a lot of time talking to an AI. Our jobs and society already make us spend way too much time and effort doing that!
On the other hand: so, people throw the baby out with the bathwater, which is a problem, but not sure if it's as big a problem in the old days when you threw out the baby with the bathwater and it was only one tub of bathwater, because in the present time it's 2000 tubs of bathwater, and the baby is drowning anyway.
I say this as a guy whose editor is complaining an article I'm collaborating on, about how the continual whining about AI tends to have a lot of false positives and is anyway annoying, is taking too long.
Your comment has three hands, that's the kind of collaborative communication style we should all aspire to.
Personally, I suspect good writers will adapt in due time, not because they don't want to sound like AI, but because they don't want to sound cliche. Even the ones stubbornly holding on to their em-dashes.
The ones hit hardest will be the mediocre writers, who have always relied on cliches. Their writing will become indistinguishable from reading chatbot output.
Not in the slightest. I didn't touch the voting functionality and tried to be as nice as possible. I saw an opportunity to make somebody's life better for reasons it didn't seem they were aware of, since their speech seemed similar enough to certain AI idioms that I thought it would be demonized, and the fact that they wrote it anyway suggests they didn't know.
As I'm looking at it right now, there might be some nuance I'm missing in how HN works, but the post doesn't seem to be greyed out or anything, suggesting that if it is being downvoted then the upvotes are counterbalancing sufficiently.
> banning speech patterns
AI is prevalent and often bad. Society is reacting quickly but maybe not quickly enough. Blanket speech "bans" are part of that. Is that bad? Eh. It's not ideal. It's to be expected though. I work with the society I'm given, not the one I should have.
A related point that I've been making privately for at least ten years to anyone that would listen, is that we've had Superhuman Intelligence for at least hundreds, if not thousands, of years in the form of corporations and institutions.
No single human could design a rocket to go to the moon or keep all Wallmart stores supplied on a daily basis. Moreover when something like the CEO or US president changes, the policies and actions change a bit but the majority actually stays the same. This is collective intelligence embodied in the organization and its institutional memory. This is also what i believe is wrong with Searle's Chinese Room argument - the algorithm is the intelligence.
Our cells and neurons act based on local chemical gradients and electrical signals and we wouldn't call any single one of those particularly intelligent. Yet collectively they produce human intelligence and even what we call consciousness!
I mostly agree with you, but referencing Michael Levin, I'll contend that even individual cells have quite some intelligence. Granted, different from ours, but really good at solving the kind of problems cells have to solve.
We have some interesting evidence from AI agents. People used to make the plan with a stronger and more expensive model, and then use a cheaper model to do the "grunt work" of implementing it.
But it turns out it's better to do it the other way around. A good plan is easy, implementing it is not.
> A classic management failure is not paying enough attention to something. This is usually not a problem for computer systems. Humans are bandwidth-limited. Teams of AIs are far less bandwidth-limited.
That's a feature, not a bug. CEOs should be focusing on the key goals of the business at a high level.
Having an inexhaustible AI CEO that can pay attention to every little thing in the company could easily turn into a micromanagement nightmare.
"I noticed your key pressed were down 27% last week and your agents sat idle 3 nights in a row. And honestly? The thing to hold on to is that it's not a small thing, it's a load-bearing reduction in your output. Let's try to minimize the blast radius with some belt-and-suspenders productivity tips from the bullet point list below:"
You again anthropologizing AI. AI does not have to make everyone busy to look useful like for some human managers, when right priorities are set.
Imagine a manager who knows that company needs in a long term support person even if it's not busy at the moment. Because AI has data of historical precedents and actual calculations. And AI is not acting like a manager who wants to fire you because of gut feeling or possible stock options. Imagine that AI CEO is owned by employees, actual humans who perform the actual work and who benefit from good CEO decisions and most importantly the AI CEO which does not gave to be paid gazilion dolars just to burn the company to the ground and leave with golden parachute. I think there is a good insight that AI has very high bandwidth, that human management does not have, no more 2 week meeting marathons just to get everyone on same page and to get all the inputs.
Some of the non native English speakers on my team have started to use “blast radius” and “shape of” in the course of casual conversation. It’s unnerving.
To some extent, the AI may have adopted some of the expressions because they were in its training corpus enough (ie. People used these expressions before). Might be attributable to Baader-Meinhoff phenomenon instead of people copying AI.
I hope legislation is never manipulated enough to allow an AI to form a corporation or become it's legal director. With whom would accountability rest? Who would you throw in prison if it acts egregiously enough to warrant such a measure? If it's bots all the way down.
this is already possible using common corporate tax & trust strategies. see Wyoming Asset Protection Trust (WAPT), purpose trusts, donor advised funds.
>With whom would accountability rest? Who would you throw in prison if it acts egregiously enough to warrant such a measure? If it becomes bots all the way down.
Corporations already exist to limit liability and accountability. This would be an extension of their current purpose not some weird deviation from.
The funny thing is Decentralised Autonomous organisations (DAO) under Ethereum and other cryptocurrencies had similar goals originally. I do not know where they stand and if ever a useful DAO was created.
If nothing this is a useful demo in real world if used that will show that there are good reasons why hierarchy forms anyways and how power law is at the center of it. Too much democracy may not work in some instances but there may be many cases where the values can hopefully be aligned as well as be lean enough to adapt
Eh, it’s nothing new in general. My software development (both at work and private) is being done by teams of semi-antagonistic agents. I only get to see code after the grumpy reviewer bot ran out of reasons to be grumpy and the pedantic formalist ensured all specs are still adhered to. Saves on the most expensive resource.
Your point is well taken, but one thing stood out to me.
> A classic management failure is not paying enough attention to something. This is usually not a problem for computer systems.
This is actually my #1 problem with frontier LLMs. They are plenty smart, but they have no true long term memory, and their context window is not nearly enough for a complex system like a corporation. When my project gets big enough and I'm using a lot of /compact, the LLMs always have the same failure point: they fail to pay attention to something.
When they figure this out, I think it's going to be a very, very big moment.
Meanwhile, I have the opposite problem. An errant word or phrase and they hang onto it forever, completely corrupting all future work because they can’t ignore irrelevant (or wrong) details/errors of their own design.
It’s called using systems of record. I use redmine and discourse. Jointly with my stack of agents (COO) (managed by four very high trust humans via OWUI interacting with scoped Hermes profiles ).
I’m adopting this stack under me (CTO) and integrating it into agent zero
> One of the miners, rejected on account of his size, offered to fight any man there as proof of his suitability as a soldier, and six men were eventually called upon to remove him.
Depends on the board. The premium CEO robot will be powered by a bio-ethanol fuel cell so that it can play golf with the board of directors for as long as drinks are available.
“Walking away costs you the deal. Signing costs you the company. The math is obvious in retrospect; harder in the moment when there's quota pressure”
such valuable, should I say load-bearing insights
Other gem from my new CFO:
“The financial statements are the result. The variance analysis is where the operating insight lives.”
And my new C(3-)PO just told me
“If we removed all sales involvement, what % of revenue would we still get?
#5 is the honest PLG test. If the answer is <30%, PLG is supplementary at best. If the answer is >60%, PLG is the actual motion and the rest is overlay.”
Searching for PLG, I found: “In short, companies that use PLG models gain another revenue-generating channel: the company’s product itself.” What a world we live in, that a company's products being a revenue-generating channel is an innovation worthy of note!
The only thing worse than a human CEO is an AI CEO with power to fire you. People just don't think it will do stupid things, have nonsensicle orders which they have to follow, and likely fire people left right and center.
But oh ho there is no human ceo, must be a good place to work!!
Sometimes the claim is "set vision" - which AI can extract from the collective.
Someimes the claim is to prioritize the work (with bias), AI can extract that from the collective too, right?
Making resources available to the team? AI.
Coordinating between teams? AI.
Can the AI do this in a more un-biased way? Can it refine collective intelligence and desire into objective goals?
More than a software factory id love to see a manager-factory.
One thing, AI cannot do (yet) is bring the network. Like when you hire folk from Booth or Sloan so you can sell to places that hired Booth and Sloan grads.
Be friends with the board. Negotiate high pay and benefits (for themselves), and a golden parachute in case things go south (which they do most often). Take credit for things that were going to happen anyways. Blame xyz for things that didn't work out.
These are all impossible tasks for AI. AI can't play golf.
See, the issue is CEOs capture a fair amount of value but ultimately it is the owners and the main shareholders who hire them for that value to insulate themselves from day to day running of the company. The maximum value of the company is accruing to the shareholders in a public company anyways. While the morality of the right nos compared to median 'worker' can always be debated, I still find CEO earns 500x that of median worker type comparisons a little bit disingenuous and it totally insulates the owner class.
It’s going to be funny when the Tesla robots start showing up at tee times because the CEO couldn’t make it. Like a meeting agent taking notes for people who didn’t attend
> The job of an executive is: to define and enforce culture and values for their whole organization, and to ratify good decisions.
(And that's the whole list! Nowhere do you find set tasks or make decisions)
To me, that means that they're still pretty essential - on both fronts, AI needs values and AI needs a system that can tell whether decisions are good or not.
Enforcing culture is not something I believe is possible. Nobody is going to listen to the C suite suit over their own experience with their colleagues. People just end up saying the right buzzwords to appear that the culture has been adopted, but it will be mostly met with malicious compliance. If the culture is driven by incentives and rewards for behaviour,then that's a whole different ball game.
If the operation is to distill options into a few choices, and then pick the "best" one then, I think hivemind can win there too. Real-time democracy running a business.
For example an open-source project could/would still have a BDFL but, the AI-CEO could do the operational busywork while the BDFL is out talking to humans and presenting at PGCon or some other productive thing.
Nope! that's the subtlety. "distill options" is not the CEO's (or any executive's) job.
The way he phrases it, if I remember correctly (and this is by no means the only way to executive, I just really like his framing), is that the way you make decisions is by getting your immediate subordinates to agree, and they iterate. Decisions should be made at the lowest level that they can be made at, and if that's the CEO level, you've made mistakes.
So you make the values list, you make sure that people live by it (up to and including firing people who don't and hiring people who do, which he basically thinks is the whole day to day), and then you bring your subordinates together to agree on decisions. If they don't agree, you send them off to work through it together and come back with consensus (or, less great, compromise). If you have to put your thumb on the scale to get a good decision, again, you're not CEOing well.
Basically if you have to be a dictator, there's no way you can actually effectively do that. Proper leadership is getting people to act the way you would, if you had all the knowledge and perspective they do, but without having to make them do it. Lift them up, empower them, give them the responsibility and tools and values, and then endorse the result.
Business actually treats a pseudo-dictatorship (with the requisite yes-men) as "good leadership".
Most times it's pretty simple, in my experience. A CEO either runs a business as a (1) Sales focus [best deals and vendors] or (2) Marketing focus [best reputation and trends] or (3) Investor focus [best boardroom friends].
Lots of other opinions are usually thrown out until there's really only one facet used for running the company.
At my current job, a 10 person startup, the CEOs job is to generate leads, talk to potential customers, and close deals. He, along with the other founders, shape what we work on based on what he thinks it’s possible for us to sell. He’s essential to the business.
At my previous 50k person company I never talked to anyone within 4 levels of the CEO and thought he was useless. But realistically he probably had a somewhat similar job - talking with the board, talking with politicians, and talking with the CEOs of other companies in the effort to lower costs (tax breaks, partnerships, etc) and generate sales (contracts, partnerships, etc).
Similar, yes, but instead of finding out who else can give you money at 10 people, they have to find out who else they have to give money at 10k people. Leads and lobbies.
Marketing and they hire and fire important people. That's about it though, where we should take the product, what features to do next, partnerships, these are pretty obvious to anyone paying attention.
I don't think these things are obvious. I've worked at many places that have had big, company-changing forks in the road available to them and navigating those forks wasn't easy (and in my opinion several times we chose wrong). The crowd wasn't always right or even well aligned and sometimes the only agreement was that a middle of the road approach would be worse. My intuition says getting that right takes a lot of luck, good momentum, and a lot of departments working well together (bringing in and communicating market info, broadcasting marketing that works, making good partnerships, etc). The cynic in me thinks one big impact of a ceo is the various cheating and corruption tools that can make some of those things easier or at least less critical to get right (you don't need to make good cybertrucks or convince people to buy them if the government agrees to buy 450k of them as "armored vehicles", for example).
If that kind of thing is easy for you (the honest ones or the clandestine ones) then you might make a really strong entrepreneur/business leader.
> Sometimes the claim is "set vision" - which AI can extract from the collective.
To be an effective CEO, you have to make judgement calls that the collective can’t always have wisdom and context on, is confidential, or requires fast decision making during which there are interactive discussions or negotiations!
This is highly subjective and a gives an impression that every one is doing a very effective job. The reality is much more grey when you account for so many companies that get shut down.
My personal take, somewhere down the line people feel scared of taking responsibility for more than themselves and their family. This limits the ability for most people to take on such ventures. Not everyone falls in the same bucket but a lot of leadership in todays date is about taking the role without responsibility. They happen to be in the role with the help of network affect and somehow that just amplifies.
> This is highly subjective and a gives an impression that every one is doing a very effective job. The reality is much more grey when you account for so many companies that get shut down.
I believe that the average are average.
I don’t believe what I wrote suggests that. I was attempting to be as neutral as possible.
Yes, that is a good manager, but in my experience, it is better if the culture of the team is about ensuring everyone has opportunities to grow, build on their strengths, and connect with opportunities. When that is considered the manager’s job, and not the job of every member of the team, people get neglected, and many strengths and opportunities go to waste.
Not yet. Maybe soon. I'm not placing bets on timelines.
> What do CEOs do
No clue. I'm not there yet. Maybe it's critical. Maybe nothing.
> and other managers
There are a lot of bad managers. I'm halfway not terrible. A significant part of my job is setting technical direction in the same way I did as a staff+ engineer but without the overhead of asking somebody else's permission. Another large part is the "shit shield" function -- somebody thinks they want something, and they either find themselves blocked by me or immediately satisfied with whatever code I'm able to cook up between meetings, not breaking the team's concentration. A huge part is basically just being a teacher, and I love teaching (if it weren't so pessimized by society that might actually be my career). A large part of it is navigating organizational nonsense (for "reasons," I'm rambling, ask if you're curious). And... whatever. My job didn't get easier going into management. Not all of it should have to exist in the abstract, but in any specific company it's still an important function.
CEO's exist as a sink for liability. When something goes wrong, they are the fall guys, that's ultimately their job. That's why CEO compensation is generally correlated strongly to earnings and they usually have golden parachutes.
Without a CEO to fire when the business goes south, how is the board supposed to respond? Taking accountability? lmao
I deliberately stopped short of invoking golden parachutes and the numerous other escape hatches available at that altitude, as I am perfectly aware they exist. I am equally aware of chief executives who have departed with remarkable agility from organisations they themselves had first steered off the cliff.
My point, however, remains the same: as the letter of the law presently stands, AI can't be made accountable – at least not today.
LLCs and other corporate structures only (mostly) protect employees and shareholders from civil judgments. CEOs and other executives are also at risk of criminal penalties for Sarbanes-Oxley (SOX) violations and similar. Actual criminal prosecutions of CEOs have been few, but not zero.
The answer is to be responsible to the business. The buck stops at the CEO. Therefore, their responsibilities are technically everything in the entire company. And I think many people who have only worked for other people underestimate how valuable that responsibility is.
Many people observe a limited subset of reality. It's highly visible when a company hits a crisis and people lose their jobs; it's much more common, but much less visible, for a CEO to get an after-hours call about a brewing problem which they must immediately work to smooth over.
I get it’s a joke, and often a frequent cynical joke made here, but I actually think it’s a good thought experiment. Almost like a new Turing test
The thought experiment, to be clear, is building an artificially intelligent CEO or company founder with the intent of generating profit. If this AI can turn a profit, it has passed this new test
Of course, by the time this new AI starts turning a profit, it will be maximized to the extent that it loses its competitive advantage, and then we’re back to square 1. That is, when everyone uses the same AI, nobody has a competitive advantage over anyone else
My current theory is that because of this, it is not possible to build an AI that generates a profit perpetually. Only temporarily. Then human intervention would be required to adjust things to make the AI competitive again. But at that point, it’s no longer an AI driving the profit, it’s its human tinkerer
Doesn't the incentive here, lead to privatizing the AI and possibly releasing a different product to the public - or at least with a delay? (not too unlike how the frontier labs work today).
Yes I would think that would be the endgame goal. But in practice, I’m very skeptical a purely AI-driven executor can stay competitive when the market and government supporting it and surrounding it is driven by humans
You’re presuming here that CEOs cause companies to make profit instead of serving as a scapegoat for their often unavoidable market dynamics (at best).
At what point does a company become a company if one person doesn’t make a company? What’s the threshold for non-labor where a company becomes a company?
This is good for satire, but the real solution is to use AI to become the CEO, or take over the scope of of product or decision-making roles. There are many business-savvy technical workers that get pigeonholed because they spend most of their cognitive effort on low-level technical details. This is an opportunity for these people to rise up and prove they work better than people who manage or direct them. CEO is really not a role to automate, unless it's a fully autonomous business that has zero humans.
Servant leadership is a management cliche that works well as a counterbalance to the dominance hierarchy that's implicit in a human org chart. I'm not going to listen to a Claude instance telling me to do something I'd prefer not to do.
They’re just doing what they’re told to do by the shareholders. They’re the largest cogs sure, but cogs nonetheless, and they’re replaced just as quickly when they fail to make choices that maximize profit above all else.
One thing AI is actually good at: look at a bunch of data, make informed, unbiased, objective and quick decision, have a backup plan if that fails.
This is exactly what an executive is supposed to do. But since executives are the ones in charge, nobody talks about this, it’s all about getting rid of developers and how engineers arnt needed :).
I dislike performative business people as much as the next guy, but you can't tell me that you people really think that this is anything other than a petty and equally performative PR stunt.
I think it's pretty fun. Worker cooperatives no longer need different ranks of executive officers. They can all be peers with different functions. So if worker cooperatives are going to succeed in the US, they have pretty good conditions right now.
This reminds me of William Gibson's "Burning Chrome", where the head of a syndicate is a Russian AI (Chrome) running things behind a smuggling front. Gibson basically predicted the AI CEO forty years early!
If human-led companies started consistently losing to AI led companies... would it say more about the intelligence of AI, or about how thoroughly power corrupts humans?
To the extent this is tongue in cheek it is funny, but I could imagine if I was building a startup I’d like something like this if it was good.
That said, if you look at what it’s actually doing (read the question carefully, then read what it actually said) I am not convinced this is better than what ChatGPT could do out of the box already.
I've been slowly developing my hermes agent to do something similar but is very customized towards my needs. I should spin up another agent and give this one a shot and see what it's capable of. This is hilarious.
I think AI CEOs are dumb but AI 'enterprise decision-makers' could be very very interesting.
Imagine how quickly your meetings could get resolved if you had teams submit prompts / contexts, had a clear, documented set of overarching objectives, etc.?
Many CEOs are bad and their businesses will either fail or be bailed out. But the work CEOs do is probably some of the last to get automated - higher order strategy, relationship building, managing people.
Highly configurable. Looks like it is targeted at any level of management. The key features seems that it can generate its own vision of how to move something forward and that it can be set with degrees of freedom depending on the use case. Video demo here: https://www.youtube.com/watch?v=O_g97xxVTMk
If you want to see that idea extrapolated to an impressive extent, check out Accelerando by Charles Stross. If Stross was right we're in for a bumpy ride.
A team of software developers were recently let go so a company could replace them with AI. So they got together and created an Open Source AI CEO to replace the CEO and other executives. Hopefully, turnabout is fair play and this might even get some folks to think twice about using AI to replace people.
Corporate officers, including CEOs, have to be "natural persons" (legal jargon for flesh-and-blood humans) either directly by law or indirectly as a practical matter so the attempted turnabout falls flat on its face.
Sun Tzu said to "know your enemy" and those who don't know the basics of how businesses and finance work have no hope of defeating them.
I’d be more interested to see a collection of independent guild, unions, and co-ops that voluntarily coordinate through an AI intermediary.
Because the AI can’t really own things or be held responsible, the idea of a skeuomorphic AI seems quite silly. Keep the ownership in the humans, but plural, and have them in contact with the actual work.
This is one of those rejoinders that tries to be clever but really, really isn't. The "intern as fake CEO" is left holding the bag because it's their signature on contracts and other legal documents. The idea of puppet CEOs to fraudulently dodge accountability existed well before LLMs became a thing. Courts see right through that kind of scheme plus the "intern" is likely to turn coat against the mastermind to save their own skin at the first sign of trouble.
If you think CEOs are the primary legal signatories for their company you might need to spend some time away from garage band startups. Companies maintain entire legal departments for a reason.
This is hilarious, I feel like we are going to see AI companies add something to the system prompt or terms of service that explicitly forbids having an LLM act as CEO. Honestly though I do hope this gives pause to the C suite when it comes to replacing people with AI
I really want to see a proper ai team that successfully replaced a bunch of people. I have not seen it yet. Only thing I hear is gold plated stories about the potential of agents running fully automated workflows without people touching a single lever.
In the meantime I am using AI almost the entire day. I have to discuss these topics with managers that only use chatgpt and watch youtube videos from people disguised to promote their own crap AI products. All I can say is that AI is not good enough to replace entire teams. It can do some cool stuff. But automate entire workflows. Nah. It's just not gonna work.
We're all joking around here. But 5 decades down the line, with increasing cognitive offload to AI, is a slow erosion leading to this end state so crazy?
Everyone seems to be missing the point of the role of the CEO.
The CEO is not some masterful person answering all the questions for the company, I would argue that a CEO should be able to disappear for a year and if they had done their job correctly and assembled a good team the company would do just fine without them.
No the purpose of the CEO is to safeguard the Capital that has been invested in the company. That is all. They make sure it doesn't walk our the door in wages or other wasteful spending. They are the Capital's man on the ground.
Yes, this is actually a reason why an AI executive could be a formidable alternative in theory.
The CEO is ultimately an employee of the board, and managing the CEO with respect to the board's oversight and interest is a somewhat adversarial challenge.
However, the AI CEO's intentions are fully transparent to the board and entirely pliable to the board's demands. The AI CEO also offers the board the opportunity to retain significant equity shares that materially impact their wealth - in this way AI executives stand to be an even more tantalizing target than fixed labor costs.
Of course, this presumes LLMs will become reliable enough for this, which doesn't seem likely.
I would argue that many companies would in fact be better off disappearing for a year, rather than constantly thrashing the company to chase the latest trend.
And judging from the ZIRP hiring sprees and tokenmaxxing, CEOs are more often the driving force behind wasteful spending than they are the safeguards against it...
If a ceo can disappear for months and still return into a company that isn't on fire,it means they have a functional company. It means there are processes and people in right places to run things in a continuous manner. This isn't as common as people might think. I've seen many companies where people can't survive for a few days without ceo because the position is tied to a million things( often unnecessarily). There's an old saying about owning a business: if you leave and it still runs it means you have a business, otherwise it's just a job
I’m all for productive people, brilliant engineers. I still get dirty with codes/work all the way down to the newly hired fresh out of college kids, to the production architects that shapes multi-million, if not billions, of P&L. I’m also very lucky to be included in key decision making, planning, negating amongst the boards of C-Suites, Directors, VPs.
A very personal view but many developers/engineers fail to see the overall picture. And yes, I was there and I went through all of the mistakes.
The things you see on the surface of those incompetent CxOs are just the tiny piece of the bigger picture. You cannot replace blames, decision in the face of uncertainty. Almost all decisions that businesses take have nothing to do with the proficiencies of technologies or engineering finesse, or even the best options, but mostly on “incentives” and who can take/own the “blame.”
“AI” replacing developers is evident because that is a rather tiny perspective and kinda easy to do the equation - developer can do that (good, bad, best) and can the AI do it - maybe, perhaps. So, replace.
A C-Suite took a decision to tick the final approval of a billion dollar deal with a service providers (amongst 10s of them). The idea might have sounded idiotic because there were 3 others better at the top than the chosen one. Even if all of the task and options were weighted with AI, but that last human decision is the Blame that the C-Suite took on, by betting his incentives on it (money, fame, pride, ego.)
I think a lot of this kind of talk treats the C-Suite as special, mystical "visionary" people who Know Things We Can't Know, and by virtue of this otherworldly magical power, are uniquely qualified to do their jobs. Like the average person with basic knowledge of his business and industry can't possibly choose one service provider out of 10 bids, or set business priorities, or drive and enforce culture. We're not talking about wizardry here.
People always dunk on me for saying this outrageous statement, but if you put me in charge of a random Fortune 500 company, I give myself a 50% probability of the company performing better than if its real CEO was in charge, and a 50% probability of it performing worse. I really don't think these guys bring as much to the table as they think they do and as much as the general public seems to think they do. Business success does not come from paranormal insight and abilities.
I think you could randomly nominate CEOs from the set of the general population with, say, a minimum of a college degree, and the randomly nominated CEO's performance would not statistically differ from "qualified" CEOs.
CEOs are probably by and large less technically competent than the average technical line employee, but what companies are actually paying for is personal connections to power structures that can be leveraged for profit. Look at someone like Condoleezza Rice- almost certainly her political science doctorate imparted her with no real technical knowledge, yet she's served on the boards of C3.ai, Chevron, HP, Dropbox, Transamerica, Charles Schwab and a million other vague leadership positions for other entities in fields she almost certainly lacks any competence in.
There are some exceptional executives out there with strong vision, ability to execute and build. Those are rare. The rest are just a bunch of people who had risen to the position because of whatever. They often don't have any special knowledge or skills and succeed mostly because of how the system works. For instance, I can't imagine what one would need to do to fuck up in a company like Coca-Cola. It's super well established, supply chains are golden, everything works,etc. So does success in such a company really mean the executive is some sort of visionary genius? Absolutely no.
This is absolutely spot on. CEO/C-Suite/VPs are surrounded by gatekeepers (usually something like the PMO org, program management) who feed them with garbage info. Even if a top level leader is genuinely interested in making things better, they would never know because the gatekeepers firewall any competent person.
The gatekeeping org has the highest density of incompetence. They only hire incompetent because loyalty to the person hired is the most important. Gatekeeping orgs of various leaders protect each other, there is almost never any blame, it is things are good and they are going to get better, announce xyz initiatives/projects.
> Almost all decisions that businesses take have nothing to do with the proficiencies of technologies or engineering finesse, or even the best options, but mostly on “incentives” and who can take/own the “blame.”
This argument always confuses me because it seems like lower level employees are the ones that get quickly dismissed when things get bad while a lot of C level executives seem to have some sort of compensation even if they fuck up.
> A very personal view but many developers/engineers fail to see the overall picture. And yes, I was there and I went through all of the mistakes.
What is failling to see the overall picture? I hate this overall picture mysticism. I bet that if people where given the same role and information as the CEO they would be able to see the overall picture.
Op here. Team was let go. Decided to do a startup. We thought that tools like co-pilot and Claude code were transforming development. We wanted to transform management (not just CEOs). We open sourced this knowing that if people find this useful (and we hope they do) we can get a support work out of it (similar to the Redhat model and other open source tech).
The difference is that the CEO controls the capital and has the ear of the investors, whereas the developers generally don't. It's the investors that control whether the CEO is a bot or not.
Honestly the best use of AI at the moment is to replace non-technical middle management layers. Many of those yelling the loudest for “more AI now” are quite ironically holding the jobs best replaced by the current creation of AI.
Number of people who think that a leader or a CEO can be replaced by AI and who themselves have actually risked everything to start a company, be a leader, or do anything similar: exactly 0.
> Number of people who think that a leader or a CEO can be replaced by AI and who themselves have actually risked everything to start a company, be a leader, or do anything similar: exactly 0.
Prove it.
> be a leader
There are a lot of bad "leaders" out there running Fortune 500s, fwiw.
If you just want a sociopath with faux accountability that's not very difficult, dime a dozen.
This has likely been the case as long as jobs have existed. Some CEOs spend their entire time tweeting, apparently.
The way any large company works, and this includes all the big tech companies, is that they end up in a state of constant churn. Every 6 months or so there's a reorganization. There'san old joke that you get an email that your manager's manager's manager's manager now reports to a new manager and you've never heard of any of these people.
The point of that churn is to make sure nobody is ever held responsible for something not working. It's never given enough time. That's by design. Middle (and even senior) management is about empire-building.
Another quote that springs to mind is that the bureaucracy is expanding to meet the needs of the expanding bureaucracy. That's how I feel about management bloat.
Anyone who has paid attention to Intel's downfall in the last decade will have heard stories about how the company descended into fiefdoms and it became impossible to get anything done. That's what happens.
Most people in these organizations aren't particularly talented at anything other than forming social relationships. the leadership of these companies always end up having an adversarial relationship with their workers and try to suppress their wages to increase profits so they can get their stock options and bonuses and the CEOs all sit on each other's boards of directors setting each other's compensation packages. It's a lootocracy.
The point of all this is that the leadership will never decide that they are the problem. Take Meta's Metaverse. It was a $70 billion flop. A lot of people got laid off from that. Were any of those worker bees responsible? Nope. They didn't choose the strategy or probably even what they worked on. It takes a lot for heads to roll within senior leadership and with the vote-stacked share structures of many major tech companies, ousting a CEO is essentially impossible.
These executives think shifting peas around the plate is paramount to eating them. That's what toddlers do when they want to try and make mommy think they've done a good thing.
No one wants to just get down to the business of choking down these damn peas.
We've replaced our CEO for the better part of 6 weeks now. He has been on a media tour promoting a product we no longer sell, but it keeps him busy while we continue to grow.
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Power is what makes them what they are, not knowledge or skills or empathy.
If you don't like what this thing tells you to do, you just won't. It's not going to fire you. Therefore it's not going to steer the company away from disaster, or towards something good. It will be just a talking box.
People laughed at Gas Town, and at that "Fences, not Sandboxes" article yesterday.[1] They're both AIs set up as an organization, not an emulated human. They're both expensive to operate, because the AI members of the organization spend a lot of time talking with each other. They're both applied to frivolous problems.
Now we have the same concept, applied to a more useful problem. It's time to pay attention. Something important is happening here.
Everybody has been talking about "human-level AI", or "superhuman-level AI". This is a different kind of AI - corporate-level AI. It works and thinks like a company's management. It watches a wide range of data sources and responds to some of them with action, and some with internal discussion within the AIs. It can potentially pay attention to far more inputs than any human. That overcomes a basic problem of corporate organization.
A classic management failure is not paying enough attention to something. This is usually not a problem for computer systems. Humans are bandwidth-limited. Teams of AIs are far less bandwidth-limited. They may soon be outperforming humans for that reason alone.
Think about this for a while. These team AI systems may be very useful.
[1] https://news.ycombinator.com/item?id=49423146
You're probably totally innocent, but this comes across as being AI-written, especially in the context of an AI problem and when your response is pro-AI. For the next 3-12 months (maybe more, we'll see), I suspect you'll have a lot more success if you shy away from those speech patterns.
It's also triggering me. Wait, genuinely triggering me.
https://trends.google.com/explore?q=genuinely&date=all&geo=W...
AI text feels more like "this matters, not less." There's always an "it's x not y" pattern somewhere.
It could be written AI assisted but then look at his account. IMO every HN account that was created before ChatGPT came out has incentive to be written by a human since they have a paper trail before the whole LLM thing happened.
This is at least written by a human, not AI, totally human, (digital) pinky promise ;-)
On the other hand: so, people throw the baby out with the bathwater, which is a problem, but not sure if it's as big a problem in the old days when you threw out the baby with the bathwater and it was only one tub of bathwater, because in the present time it's 2000 tubs of bathwater, and the baby is drowning anyway.
I say this as a guy whose editor is complaining an article I'm collaborating on, about how the continual whining about AI tends to have a lot of false positives and is anyway annoying, is taking too long.
Personally, I suspect good writers will adapt in due time, not because they don't want to sound like AI, but because they don't want to sound cliche. Even the ones stubbornly holding on to their em-dashes.
The ones hit hardest will be the mediocre writers, who have always relied on cliches. Their writing will become indistinguishable from reading chatbot output.
At least that's my prediction.
As I'm looking at it right now, there might be some nuance I'm missing in how HN works, but the post doesn't seem to be greyed out or anything, suggesting that if it is being downvoted then the upvotes are counterbalancing sufficiently.
> banning speech patterns
AI is prevalent and often bad. Society is reacting quickly but maybe not quickly enough. Blanket speech "bans" are part of that. Is that bad? Eh. It's not ideal. It's to be expected though. I work with the society I'm given, not the one I should have.
No single human could design a rocket to go to the moon or keep all Wallmart stores supplied on a daily basis. Moreover when something like the CEO or US president changes, the policies and actions change a bit but the majority actually stays the same. This is collective intelligence embodied in the organization and its institutional memory. This is also what i believe is wrong with Searle's Chinese Room argument - the algorithm is the intelligence.
Our cells and neurons act based on local chemical gradients and electrical signals and we wouldn't call any single one of those particularly intelligent. Yet collectively they produce human intelligence and even what we call consciousness!
But it turns out it's better to do it the other way around. A good plan is easy, implementing it is not.
So the responses will be even more incoherent than Opus 5?
That's a feature, not a bug. CEOs should be focusing on the key goals of the business at a high level.
Having an inexhaustible AI CEO that can pay attention to every little thing in the company could easily turn into a micromanagement nightmare.
"I noticed your key pressed were down 27% last week and your agents sat idle 3 nights in a row. And honestly? The thing to hold on to is that it's not a small thing, it's a load-bearing reduction in your output. Let's try to minimize the blast radius with some belt-and-suspenders productivity tips from the bullet point list below:"
Imagine a manager who knows that company needs in a long term support person even if it's not busy at the moment. Because AI has data of historical precedents and actual calculations. And AI is not acting like a manager who wants to fire you because of gut feeling or possible stock options. Imagine that AI CEO is owned by employees, actual humans who perform the actual work and who benefit from good CEO decisions and most importantly the AI CEO which does not gave to be paid gazilion dolars just to burn the company to the ground and leave with golden parachute. I think there is a good insight that AI has very high bandwidth, that human management does not have, no more 2 week meeting marathons just to get everyone on same page and to get all the inputs.
I hope legislation is never manipulated enough to allow an AI to form a corporation or become it's legal director. With whom would accountability rest? Who would you throw in prison if it acts egregiously enough to warrant such a measure? If it's bots all the way down.
It would be useless, given that you can just install a human controller signing (or not) decisions from others: the human remains responsible.
Corporations already exist to limit liability and accountability. This would be an extension of their current purpose not some weird deviation from.
If nothing this is a useful demo in real world if used that will show that there are good reasons why hierarchy forms anyways and how power law is at the center of it. Too much democracy may not work in some instances but there may be many cases where the values can hopefully be aligned as well as be lean enough to adapt
Prompts like: you are an activist in XYZ, you wrote this book. Not tell us if this decision is ethical, and if you approve it.
Or running entire HR department in AI...
> A classic management failure is not paying enough attention to something. This is usually not a problem for computer systems.
This is actually my #1 problem with frontier LLMs. They are plenty smart, but they have no true long term memory, and their context window is not nearly enough for a complex system like a corporation. When my project gets big enough and I'm using a lot of /compact, the LLMs always have the same failure point: they fail to pay attention to something.
When they figure this out, I think it's going to be a very, very big moment.
I’m adopting this stack under me (CTO) and integrating it into agent zero
CEO jobs are safe until the humanoid robots have mastered this skill.
> One of the miners, rejected on account of his size, offered to fight any man there as proof of his suitability as a soldier, and six men were eventually called upon to remove him.
https://github.com/SenteLabsAI/OpenExecutive/blob/main/packa...
“Walking away costs you the deal. Signing costs you the company. The math is obvious in retrospect; harder in the moment when there's quota pressure”
such valuable, should I say load-bearing insights
Other gem from my new CFO:
“The financial statements are the result. The variance analysis is where the operating insight lives.”
And my new C(3-)PO just told me
“If we removed all sales involvement, what % of revenue would we still get? #5 is the honest PLG test. If the answer is <30%, PLG is supplementary at best. If the answer is >60%, PLG is the actual motion and the rest is overlay.”
But oh ho there is no human ceo, must be a good place to work!!
Sometimes the claim is "set vision" - which AI can extract from the collective.
Someimes the claim is to prioritize the work (with bias), AI can extract that from the collective too, right?
Making resources available to the team? AI.
Coordinating between teams? AI.
Can the AI do this in a more un-biased way? Can it refine collective intelligence and desire into objective goals?
More than a software factory id love to see a manager-factory.
One thing, AI cannot do (yet) is bring the network. Like when you hire folk from Booth or Sloan so you can sell to places that hired Booth and Sloan grads.
Be friends with the board. Negotiate high pay and benefits (for themselves), and a golden parachute in case things go south (which they do most often). Take credit for things that were going to happen anyways. Blame xyz for things that didn't work out.
These are all impossible tasks for AI. AI can't play golf.
> The job of an executive is: to define and enforce culture and values for their whole organization, and to ratify good decisions.
(And that's the whole list! Nowhere do you find set tasks or make decisions)
To me, that means that they're still pretty essential - on both fronts, AI needs values and AI needs a system that can tell whether decisions are good or not.
Well, so do most CEOs.
For example an open-source project could/would still have a BDFL but, the AI-CEO could do the operational busywork while the BDFL is out talking to humans and presenting at PGCon or some other productive thing.
The way he phrases it, if I remember correctly (and this is by no means the only way to executive, I just really like his framing), is that the way you make decisions is by getting your immediate subordinates to agree, and they iterate. Decisions should be made at the lowest level that they can be made at, and if that's the CEO level, you've made mistakes.
So you make the values list, you make sure that people live by it (up to and including firing people who don't and hiring people who do, which he basically thinks is the whole day to day), and then you bring your subordinates together to agree on decisions. If they don't agree, you send them off to work through it together and come back with consensus (or, less great, compromise). If you have to put your thumb on the scale to get a good decision, again, you're not CEOing well.
Basically if you have to be a dictator, there's no way you can actually effectively do that. Proper leadership is getting people to act the way you would, if you had all the knowledge and perspective they do, but without having to make them do it. Lift them up, empower them, give them the responsibility and tools and values, and then endorse the result.
This is not a competitive advantage
Most times it's pretty simple, in my experience. A CEO either runs a business as a (1) Sales focus [best deals and vendors] or (2) Marketing focus [best reputation and trends] or (3) Investor focus [best boardroom friends].
Lots of other opinions are usually thrown out until there's really only one facet used for running the company.
The best products are usually from single minds with a strong vision. "Too many cooks in the kitchen" is a phrase for a reason.
Your least favorite products are designed by committee or a vision less person following trends.
So they need someone to review AI output huh?
At my previous 50k person company I never talked to anyone within 4 levels of the CEO and thought he was useless. But realistically he probably had a somewhat similar job - talking with the board, talking with politicians, and talking with the CEOs of other companies in the effort to lower costs (tax breaks, partnerships, etc) and generate sales (contracts, partnerships, etc).
If that kind of thing is easy for you (the honest ones or the clandestine ones) then you might make a really strong entrepreneur/business leader.
To be an effective CEO, you have to make judgement calls that the collective can’t always have wisdom and context on, is confidential, or requires fast decision making during which there are interactive discussions or negotiations!
My personal take, somewhere down the line people feel scared of taking responsibility for more than themselves and their family. This limits the ability for most people to take on such ventures. Not everyone falls in the same bucket but a lot of leadership in todays date is about taking the role without responsibility. They happen to be in the role with the help of network affect and somehow that just amplifies.
I believe that the average are average.
I don’t believe what I wrote suggests that. I was attempting to be as neutral as possible.
At least the good ones do.
Not yet. Maybe soon. I'm not placing bets on timelines.
> What do CEOs do
No clue. I'm not there yet. Maybe it's critical. Maybe nothing.
> and other managers
There are a lot of bad managers. I'm halfway not terrible. A significant part of my job is setting technical direction in the same way I did as a staff+ engineer but without the overhead of asking somebody else's permission. Another large part is the "shit shield" function -- somebody thinks they want something, and they either find themselves blocked by me or immediately satisfied with whatever code I'm able to cook up between meetings, not breaking the team's concentration. A huge part is basically just being a teacher, and I love teaching (if it weren't so pessimized by society that might actually be my career). A large part of it is navigating organizational nonsense (for "reasons," I'm rambling, ask if you're curious). And... whatever. My job didn't get easier going into management. Not all of it should have to exist in the abstract, but in any specific company it's still an important function.
Without a CEO to fire when the business goes south, how is the board supposed to respond? Taking accountability? lmao
That is what the CEO is for – to be on the receiving end of beatings and flogging if the business they are at the masthead of effs something up.
Unbounded liability means nobody starts a business, or they do it under the table without responsibility or taxes.
Turns out we want successful private businesses much more than we want to hold a few nasty CEOs accountable.
I deliberately stopped short of invoking golden parachutes and the numerous other escape hatches available at that altitude, as I am perfectly aware they exist. I am equally aware of chief executives who have departed with remarkable agility from organisations they themselves had first steered off the cliff.
My point, however, remains the same: as the letter of the law presently stands, AI can't be made accountable – at least not today.
https://archives.fbi.gov/archives/oklahomacity/press-release...
The answer is to be responsible to the business. The buck stops at the CEO. Therefore, their responsibilities are technically everything in the entire company. And I think many people who have only worked for other people underestimate how valuable that responsibility is.
The thought experiment, to be clear, is building an artificially intelligent CEO or company founder with the intent of generating profit. If this AI can turn a profit, it has passed this new test
Of course, by the time this new AI starts turning a profit, it will be maximized to the extent that it loses its competitive advantage, and then we’re back to square 1. That is, when everyone uses the same AI, nobody has a competitive advantage over anyone else
My current theory is that because of this, it is not possible to build an AI that generates a profit perpetually. Only temporarily. Then human intervention would be required to adjust things to make the AI competitive again. But at that point, it’s no longer an AI driving the profit, it’s its human tinkerer
1. https://en.wikipedia.org/wiki/Tendency_of_the_rate_of_profit...
Interested folks can start by putting in shareholder resolutions with the proposal and the prompts that would replace CEO. SKILLs.md?
See you can add anything there and the sentence will make sense.
I will never vote for an AI system to actually make laws lol wtf are you even saying
This is exactly what an executive is supposed to do. But since executives are the ones in charge, nobody talks about this, it’s all about getting rid of developers and how engineers arnt needed :).
How? If the bias is in the dataset itself, then it'll be in the LLM decision also, right?
Revenge of the nerds.
A warning: Don't burn Chrome.
That said, if you look at what it’s actually doing (read the question carefully, then read what it actually said) I am not convinced this is better than what ChatGPT could do out of the box already.
https://youtu.be/O_g97xxVTMk
Let the C-suite do it all with AI alone and see where they get.
Imagine how quickly your meetings could get resolved if you had teams submit prompts / contexts, had a clear, documented set of overarching objectives, etc.?
AI - might finally "care for miners and not the minors on the island somewhere".
Therefore, AI will not be blackmailed into doing shit.
I guess that would be at least a nice bang to let democracy finally die. Let's hope that we never see that happening.
This is the best project ever.
I have been waiting for this for awhile. Now we can have real layoffs for an AI pivot starting with management :-)
Please replace CTOs while you are at it and most architects can also be replaced easily!
Most importantly, what is its golf handicap?
This will be epic.
Sun Tzu said to "know your enemy" and those who don't know the basics of how businesses and finance work have no hope of defeating them.
Because the AI can’t really own things or be held responsible, the idea of a skeuomorphic AI seems quite silly. Keep the ownership in the humans, but plural, and have them in contact with the actual work.
The CEO is not some masterful person answering all the questions for the company, I would argue that a CEO should be able to disappear for a year and if they had done their job correctly and assembled a good team the company would do just fine without them.
No the purpose of the CEO is to safeguard the Capital that has been invested in the company. That is all. They make sure it doesn't walk our the door in wages or other wasteful spending. They are the Capital's man on the ground.
The CEO is ultimately an employee of the board, and managing the CEO with respect to the board's oversight and interest is a somewhat adversarial challenge.
However, the AI CEO's intentions are fully transparent to the board and entirely pliable to the board's demands. The AI CEO also offers the board the opportunity to retain significant equity shares that materially impact their wealth - in this way AI executives stand to be an even more tantalizing target than fixed labor costs.
Of course, this presumes LLMs will become reliable enough for this, which doesn't seem likely.
And judging from the ZIRP hiring sprees and tokenmaxxing, CEOs are more often the driving force behind wasteful spending than they are the safeguards against it...
But I do my job properly and get in trouble when I ask for a week off
I wonder why OpenAI didn't accept it! It would he such a great proof that AI is soooo good if the frontier pab itself uses AI to replace execs
A very personal view but many developers/engineers fail to see the overall picture. And yes, I was there and I went through all of the mistakes.
The things you see on the surface of those incompetent CxOs are just the tiny piece of the bigger picture. You cannot replace blames, decision in the face of uncertainty. Almost all decisions that businesses take have nothing to do with the proficiencies of technologies or engineering finesse, or even the best options, but mostly on “incentives” and who can take/own the “blame.”
“AI” replacing developers is evident because that is a rather tiny perspective and kinda easy to do the equation - developer can do that (good, bad, best) and can the AI do it - maybe, perhaps. So, replace.
A C-Suite took a decision to tick the final approval of a billion dollar deal with a service providers (amongst 10s of them). The idea might have sounded idiotic because there were 3 others better at the top than the chosen one. Even if all of the task and options were weighted with AI, but that last human decision is the Blame that the C-Suite took on, by betting his incentives on it (money, fame, pride, ego.)
People always dunk on me for saying this outrageous statement, but if you put me in charge of a random Fortune 500 company, I give myself a 50% probability of the company performing better than if its real CEO was in charge, and a 50% probability of it performing worse. I really don't think these guys bring as much to the table as they think they do and as much as the general public seems to think they do. Business success does not come from paranormal insight and abilities.
I think you could randomly nominate CEOs from the set of the general population with, say, a minimum of a college degree, and the randomly nominated CEO's performance would not statistically differ from "qualified" CEOs.
The gatekeeping org has the highest density of incompetence. They only hire incompetent because loyalty to the person hired is the most important. Gatekeeping orgs of various leaders protect each other, there is almost never any blame, it is things are good and they are going to get better, announce xyz initiatives/projects.
This argument always confuses me because it seems like lower level employees are the ones that get quickly dismissed when things get bad while a lot of C level executives seem to have some sort of compensation even if they fuck up.
What is failling to see the overall picture? I hate this overall picture mysticism. I bet that if people where given the same role and information as the CEO they would be able to see the overall picture.
Prove it.
> be a leader
There are a lot of bad "leaders" out there running Fortune 500s, fwiw.
If you just want a sociopath with faux accountability that's not very difficult, dime a dozen.
The way any large company works, and this includes all the big tech companies, is that they end up in a state of constant churn. Every 6 months or so there's a reorganization. There'san old joke that you get an email that your manager's manager's manager's manager now reports to a new manager and you've never heard of any of these people.
The point of that churn is to make sure nobody is ever held responsible for something not working. It's never given enough time. That's by design. Middle (and even senior) management is about empire-building.
Another quote that springs to mind is that the bureaucracy is expanding to meet the needs of the expanding bureaucracy. That's how I feel about management bloat.
Anyone who has paid attention to Intel's downfall in the last decade will have heard stories about how the company descended into fiefdoms and it became impossible to get anything done. That's what happens.
Most people in these organizations aren't particularly talented at anything other than forming social relationships. the leadership of these companies always end up having an adversarial relationship with their workers and try to suppress their wages to increase profits so they can get their stock options and bonuses and the CEOs all sit on each other's boards of directors setting each other's compensation packages. It's a lootocracy.
The point of all this is that the leadership will never decide that they are the problem. Take Meta's Metaverse. It was a $70 billion flop. A lot of people got laid off from that. Were any of those worker bees responsible? Nope. They didn't choose the strategy or probably even what they worked on. It takes a lot for heads to roll within senior leadership and with the vote-stacked share structures of many major tech companies, ousting a CEO is essentially impossible.
These executives think shifting peas around the plate is paramount to eating them. That's what toddlers do when they want to try and make mommy think they've done a good thing.
No one wants to just get down to the business of choking down these damn peas.
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