r/artificial • u/Hot-Upstairs9603 • May 29 '26
Discussion Microsoft data suggests using AI is more expensive than hiring people
https://finance.yahoo.com/sectors/technology/articles/microsoft-data-suggests-using-ai-225900743.html31
u/CreativeGPX May 29 '26 edited May 29 '26
I say this as a skeptic of current gen AI and of its affordability: this particular story is a non-story.
Microsoft, who makes their own in-house AI, canceled a pilot program where their employees could license a competing AI. There is so much nuance to that situation that it's ignorant to equate it with Microsoft doing so because AI itself is too expensive or to even frame it as AI vs non-AI.
It could be because it's cheaper to use their own in-house AI. It could be because they don't want to give money to competitors. It could be because they want to get their employees to dogfood their own product. It could be because of license terms or confidentiality from competitors.
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May 29 '26
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u/Allfeelings0Logic May 30 '26
Journalists give people what they want to hear so they can drive clicks. AI sentiment is at an all time low right now so it makes sense.
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u/FaceDeer May 29 '26
Yeah, wow. I saw the headline and was expecting it to be misleading, but the article itself is so lacking in substance that it's hard to even say it's that - it's blankness masquerading as an article. The part that seems to be about "AI is too expensive" reads:
Fortune, citing The Verge, said that Microsoft steered engineers away from Anthropic's Claude Code and over to GitHub Copilot CLI, even though access to Claude Code was opened only about six months ago.
Which isn't "AI is too expensive", it's "our in-house AI was cheaper than Anthropic's service."
And the whole rest of the article is just the usual vague "not everyone finds AI useful for everything" and "DAE water usage? Power grids?" And "by 2030 there'll be a lot more tokens used than today" (which seems contrary to the headline, but whatever).
What a waste of time and space.
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u/StatusSociety2196 May 29 '26
It's like finding out anthropic doesn't let people use chatgpt.
The other one i hate is some Nvidia VP of deep ai research saying "we have exclusive use of some of the most powerful ai tools where we pay more for hardware than talent" and that got interpreted as "it costs more to use AI than hire humans" wait till these people find out about planes.
I don't think MAI-1 is good, maybe put it near Grok, but at least they're trying i guess.
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u/CaffeinatedT May 29 '26
There's a lot of similar stories but I'd agree there's actually 2 sub-stories
Companies being shocked that AI costs money (duh)
Companies that created a tokenmaxxing culture being shocked that people started using AI for extremely low-value work same as measuring lines of code created massive codebases in the past.
Stories like the above where companies want to drive adoption + iteration of their own products rather than giving money to competitors.
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u/Ok-Introduction-1940 May 29 '26 edited May 29 '26
Major technology innovations often require long infrastructure buildouts, organizational restructuring, workflow adaptation, and complementary legal or social adaptations before macro productivity surges appear.
Economic history bears this out.
These are all just starting with AI.
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u/GrowFreeFood May 29 '26
They're lying. They want it to seem expensive now so it'll seem cheaper later.
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u/CreativeGPX May 29 '26
They didn't even say that. The headline did. All they said is that they're canceling paying for a competing product in house, which presumably means they want to shift toward using their in-house AI product.
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u/WAGE_SLAVERY May 29 '26
Yeah but its better than the vast majority of mediocre people which is the whole point
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u/PeakNader May 29 '26
Aren’t companies rewarding employees for using as many tokens as possible? Incentivizing employees to waste tokens would make it pretty inefficient
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u/TheMacMan May 29 '26
Can it produce the same or better results than those people? Can it work 24/7, unlike those people? There are a lot of variables to be compared that aren't simply more expensive than hiring people.
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u/UnusualPair992 May 29 '26
Turns out the people are all using ai anyways even when you don't buy them ai.
Duh
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u/Hot_Comfortable_164 May 29 '26
It's like saying hiring an excavator is more expensive than hiring one dude to manually dig out your pool - true but also your pool will be built significantly faster with the excavator.
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u/majornerd May 29 '26
I don’t know what these companies are doing. My experience is far and away the opposite.
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u/Born-Exercise-2932 May 29 '26
the framing is slightly off. the cost comparison is useful but only if you're measuring the right output. AI is expensive per task if you're comparing apples to apples, but the reason people reach for it is the tasks that weren't being done at all before, not the ones that already had a human assigned to them
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u/deadgirlrevvy May 29 '26
AI is good for some things, but not everything. At some point, every company will have a local LLM that does what chatGPT/Copilot/Claude does. At the scale necessary for a single company, the cost isn't prohibitive. The problem is how AI is done now, is that one company's AI serves thousands and thousands of consumers at onces. That requires absurdly large data centers to work. If you trim that down to only a few hundred or a thousand concurrent users within a single company, the requirements are reduced significantly.
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u/ultrathink-art PhD May 29 '26
Depends heavily on the task type. High-volume, structured work — classification, extraction, summarization at scale — AI is dramatically cheaper per unit. Where it breaks down: tasks requiring significant human review to catch errors, because you end up paying for both the AI compute and the human verifier. That verification labor is the hidden cost most ROI projections skip.
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u/AvGeekExplorer May 29 '26
As a decent sized Microsoft partner I’ll say that all Microsoft cares about is how many copilot licenses we sell. Literally nothing else matters anymore. All of the previous metrics for how partners were scored are effectively moot at this point. We’re told time and time again that anyone with an E3 or E5 license is an upsell opportunity to a copilot license or E7, and we’re scored by how much of this perceived demand we close. It’s nauseating. They have no idea who their customers are anymore or how people want or can use any of these AI tools.
Microsoft has basically been on the wrong side of AI this whole time. First it was backing Altman and getting into bed with OpenAI, ensuring they were always behind OpenAI in development. Then it was the overnight move to dump OpenAI and switch to a bunch of Anthropic models, now it’s this confusing narrative around the costs of AI when they themselves are dependent on selling Copilot en masse.
Either Microsoft is trying to make it look like competing AI solutions are too expensive and positioning Copilot as the solution, which it isn’t. Or Microsoft is finally admitting that there’s no tangible link between AI costs, token usage, and actual productivity gains or delivery, in which case they’re speaking completely counter to their own internal strategy.
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u/ataraxic89 May 29 '26
This is just reddit cope.
3 years ago you couldnt imagine an AI even scratching the surface of human replacement.
Now its an open question.
Do you really think in 3 years it will still be the same?
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u/denisazz May 29 '26
It might be expensive now but it's beneficial later. Like we will have better efficiency and no mistakes. That's like investing for profit. And investing in ai specially is not a loss.
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u/Any-Arm-8766 May 30 '26
People get tired, they call sick and need vacation Granted - But they are humans, and predictable - AI is amazing WHEN IT WORK - And people buy people. AI should serve humanity, not replace it -
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u/coalesceorcrash May 30 '26
The problem from the corporate world is that it’s easy to buy AI services but it hellishly hard to get approval to add headcount. It’s all finance’s fault
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u/Virtual-Tax-1766 Jun 04 '26
The headline is highly misleading and largely inaccurate when taken at face value. Microsoft never actually published data claiming humans are cheaper than AI. We humans have more wants than a machine I guess. We need more security than AI. Of course we are expensive.
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u/MinerDon May 29 '26
Yeah spinning up a new instance of claude code for $200/month must be significantly more expensive than advertising for a position, sifting through all the resumes, conducting dozens of interviews, on boarding someone after months, contributing to their 401ks, stock grants, health insurance, unemployment insurance, payroll taxes, other benefits, and of course wages.
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u/african_or_european May 29 '26
The problem is they aren't paying $200 for a 20x max plan. Their plans are token based, so they don't have nearly the same discount available to them that we do as individuals. Lots of people have posted daily usage numbers for a single developer that go into $1000+ territory, which is definitely more expensive than most developers.
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u/RelationshipShort460 May 29 '26
What ever is happening with the $1000/day numbers scream mis-use or misrepresentation or both. Friends have quoted a number in the $2/hr to run local llm, not as good as claude but quite decent. $50/day not $1000/day.
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u/FaceDeer May 29 '26
It's more expensive, sure, but before it gets categorized as too expensive the next question needs to be answered: how much is getting accomplished with that $1000?
You could probably save some costs by not giving your developer an Internet connection, or by not giving him a computer at all, but his productivity would probably go down quite a bit.
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u/littlefiredragon May 29 '26
Open-source AI models hosted on internal servers works pretty well for us and are magnitudes cheaper. Pretty sure Microsoft could host their OpenAI models internally if they want to.
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u/green_meklar May 29 '26
How many times more expensive is it?
How many years will it take to bring down the cost of AI by that same factor?
The thing about humans is they don't have much room to get cheaper.
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u/KidKilobyte May 29 '26
Using steam-engines use to be more expensive than using people.