r/cscareerquestions • • 7h ago

Is anyone else's company having second thoughts about AI?

My current company, a large boring corporation that's not in tech used to be very encouraging of everyone using AI (but they weren't AI pilled and shoving it down everyone's throats) and they used to handed out licences to all sorts of AI licences like candy.

But a few months later now, not only are they straight up not issuing licences to a lot of them and very heavily restricting the one they settled on (Claude and ChatGPT) and they are removing licences of people that aren't using the ones they have access to.

They recently made three moves that were a bit surprising.

Due to how much AI has been costing they've done a few things:

First, they are refusing to increase usage limits to the few we do now have access to, and asking your manager isn't enough. If you really want to, they want to see cold hard numbers in how much it'll save in money, and no not even time savings count.

Second, they are denying access to the expensive models and telling everyone to use the cheaper ones (ie Sonnet and Terra and below)

Third they made us do a training module, and it wasn't just "You can't provide confidential and sensitive data to the AI" it also straight up told people to be more conservative and to prompt better so it won't be burning so much tokens.

They're also telling people that they are responsible for the accuracy of their work. But also they gave some prohibited examples of AI use that made me think that it's actually what was going on. Like how they can't use AI to screen, analyze, or even summarize resumes and interviewers. And telling managers they can't use AI to do performance review and analysis for their team, especially pertaining to bonus, raises, and promotions.

However, my own team has noticed some issues with AI too, while it for sure has helped us, it has caused problems of massive PRs, and even more difficult surprisingly are AI slop generated documents and reports that are really important, but don't have the luxury of a compiler or a linter to at least do basic quality control for.

Seeing what's going on from the higher up's decisions and the impact of AI on our own team I think a lot of people were intentionally or unintentionally generating slop work that makes the rest of the team hold the bag and figure out or just straight up using AI on things they're not supposed to just to be lazy. The AI slop and the extent of the usage raised alarm bells with the higher ups and now they're putting the lid on it.

It's not some cutting edge company, just a boring big enterprise. How's it going on at your place?

95 Upvotes

59 comments sorted by

89

u/Mundane-Charge-1900 6h ago

One of the biggest paradoxes of AI today is that everyone seems to observe increased productivity but it’s not showing up in the larger economy at all yet.

It’s still an open question if being able to produce code faster is making businesses grow revenue faster or be more profitable, outside of those with AI as a product itself like the frontier labs.

21

u/Rumble45 5h ago

Bottom line: if you didn't actually know there was an 'AI revolution' you would never in a million years guess anything was different by observing the output of my software org. I think it's possible others will start drawing this conclusions well.

By output, I mean the end experience the customer sees as a user

3

u/NewChameleon Software Engineer, SF 3h ago

I think that's more because incentives aren't aligned

recently (like within the past ~2 years) I noticed Microsoft products have becoming more and more shit, and as a SWE I can almost imagine what happened:

  1. person A: boss wants me to incorporate AI, oh I know, we're gonna shove AI down user's throat whether they like it or not!

  2. perf review: person A claims 'drive AI adoption by users by X percent' yada yada, receives good perf review/promotion/bonus

  3. user: hey I didn't ask for AI? this product is becoming more shitty, so useless!

  4. person B: wow so many user complains, oh I know, let's fix it!

  5. perf review: person B can also claim 'reduced user complaints and increased customer satisfation by X percent', receives good perf review/promotion/bonus

meanwhile, person A may or may not even at the company anymore

2

u/SuchDrawing8585 2h ago

the only benefit I have seen going from windows 10 to 11 is multiple tabs in file explorer. everything else just makes my computer really slow compared to before

2

u/FearlessPark4588 4h ago

the only measurable balance sheet difference is every org is spend $1,000/mo/developer on AI tooling when they didn't before

which explains the financial results mentioned elsewhere in the thread

4

u/Perfect-Campaign9551 3h ago

Pretty sure the end users WILL see less bugs . AI is great at catching them as a reviewer. Yes. We will see a difference. But people that use software that works don't complain, so it's not as noticeable

I can tell you for a fact that our last release had less bugs on release than in the last six years, because AI gave us tools to look at complex issues and find root causes. 

2

u/SomeoneNewPlease 19m ago

I don’t think that’s the typical experience. If you’re using it specifically to resolve bugs, then yes, your software will have fewer bugs. But most organizations are using it to “move faster” e.g. ship more new features. More new features == more bugs, AI or no AI.

10

u/Unusual-Relief-1982 6h ago

I suspect the answer to that question is a no for a lot of companies.

5

u/MistryMachine3 4h ago

Yeah for like non tech companies where tech is a money burn anyway, they don’t have it figured out how AI is going to cost less if they aren’t shrinking staff. So it is just an expensive tool that has no route to making money.

3

u/moduspol 4h ago

If the answer isn't "no" then we should at least have an answer by now as to how much more money and time is needed.

11

u/Illustrious-Lime-878 4h ago

As someone out of the industry for a while, I am really confused when people say it increases their productivity 10x or more, like what the hell are you making? And it seems like a lot of its like, self circular, like using AI to write AI tools and developing all these complex workflows around weird abstracted concepts. Or its like ok, you have 100 dashboards of a millions stats, testing harnesses, cool but not really big bang for your bug. Then instead of using commonly used open source software, people just make their own siloed bespoke version. Its "output" but is essentially no more better a result than downloading an existing program.

5

u/Perfect-Campaign9551 3h ago edited 3h ago

I have literally fixed bugs in two hours that normally would have taken me two days.  Bugs where I asked the AI to investigate and it pinpointed the very commit where the behavior went bad. That's a process I've done before, manually, quite often, and it takes quite a bit of time to do that kind of thing. 

Not only that, but I could tell the AI to make a plan for the fix, I reviewed what it said it wanted to do, then  one I agreed it made sense, I told it to go do it, and I could walk away while the fix was being created. 

If you don't find that awesome, then I don't know how to fix your outlook. It IS speeding up software dev for me. 

We might not see it in the end because businesses have a lot more bottlenecks then just software. But it's made software development so much easier and faster

3

u/Illustrious-Lime-878 2h ago

Fixing 1 bug is a clear win. But when you do (supposedly) 10x the work, there is 10x the possibility for bugs, setting aside whether AI driven development is better / worse for bugs. My personal experience is conflicting. Like you, AI tools are particular helpful in these areas of "easy to define" and "easy to verify". At the same time, AI-adjacent software, which I presume is more likely to be developed with AI-tools, is particularly buggy lol. Maybe we can chalk that up to pace. I don't know.

One thing I've seen that is pretty funny, is the whole fully automation where AI automates bug retrieval, changes, etc. in a loop. The question here is the ratio of new bugs to fixes, if its near 1 or more this creates basically a infinite loop of "work".

I'm not contesting the usefulness of AI tools, but the ability for people to use them efficiently, and the best practices are clearly still being worked out and probably will take many years to figure out.

1

u/fsk 2h ago

Using AI seems to be either amazing or awful.

I used Gemini to help me write a Godot GDExtension. It did pretty good, even using some features that aren't in the official documentation, because Gemini also has the Godot source code.

When there was a memory allocation bug, it got stuck in a loop trying the same wrong bugfix over and over again.

I had it write some other code for me. It does boneheaded things like writing to the error log for normal execution, which is a no-no for me. It loves to write helper functions and if you don't watch it, there will be lots of helper functions doing almost the same thing. It also loves to change function and variable names around, even when I gave it an outline as a starting point.

20

u/Chuu 6h ago

Sometimes I wonder if part of the problem is that everyone is seeing that increased productivity, and in a lot of white collar jobs, they're all chasing the same dollars. So it essentially just ends up being an arms race where the real winner is the arms dealer.

I work in finance and every firm has massively accelerated their research with AI. Which means you might be much better at iterating over models than you were 6 months ago, but your competitor in the same space is too.

8

u/Alphasite 4h ago

Shovel salesman. Look at who’s profiting. Nvidia, TSMC, Micron, Broadcom, etc. Compute, memory storage and power companies.

Infrastructure vendors are winning.

OpenAI, Anthropic, Google, etc ai ventures are all fabulously unprofitable right now.

1

u/FearlessPark4588 3h ago

All of the consumers of the products you're making with AI are themselves funneling their capital to AI companies. We're all building for nobody.

6

u/Bulleveland Data Engineer 5h ago

A lot of it wasn’t real productivity in terms of generating profitable products, but in pumping up KPI metrics

3

u/Alphasite 4h ago

People don’t pay for features. They pay for products.

AI lets established companies build new features, but building products is a lot more than just code. Adoption is a million times harder.

Also I suspect for every customer you get for your new work, you loose one who rebuilt that 5% they really need.

1

u/FearlessPark4588 4h ago

shouldn't it be extremely deflationary? if the cost to ship is cheaper, yes b2b can flourish but it should all be offered at much lower costs

1

u/kukir10 2h ago

I think it produces code faster but the knowledge around the code is missing, so for someone who would take a lot of time for the first ticket and solve follow on tickets much faster now it takes short time everytomr but doing it multiple times overall more time in iteration and hence it's slow overall.

1

u/Early-Crow-5248 1h ago

Why would it show up unless consumers started spending more? Otherwise, wouldn't it mainly be cost-savings from not needing as many devs/marketing folks and using custom tools instead of buying them from 3rd parties?

1

u/Status-Key5664 1h ago

I’m no ai sceptic of the technology but the biggest red flag I ever seen is having the best minds, the most wealthy and most experienced companies and investors, pour not only their money but their everything into ai. We have been told for over a year now “just put ai in it”. Millions of smart and educated engineers at the best companies in the world. Really, all the mental and monetary capital of the modern world.

Yet, to have a single person clearly show me a proper ROI sheet.

1

u/noblecove4 3h ago

this is exactly it. faster output isnt the same as faster outcomes

33

u/Post-mo 7h ago

They're conflicted, they see the gains, but they also see the spend. I've got engineers using $1k per week.

Last quarter they were enough over budget that they started doing a daily cap, for the last couple days of the quarter things would start shutting down around 4 PST.

A year ago all the internal talks were "AI: how to use as much as possible to make your team more productive". Now all the talks are "AI: how to make the most out of less tokens"

7

u/cascadiabibliomania 6h ago

I told my boss this would happen and he dismissed it completely, claimed tokenmaxxing was the wave of the future forever and token costs were going down fast enough no one would need to worry about efficiency.

5

u/nrmitchi 6h ago

“Tokenmaxxing” has 2 definitions (depending on who you talk to).

Definition 1: “use AI for all the things you can use AI for” Definition 2: “spend as many tokens as possible regardless of if it’s useful”

6

u/andhausen 6h ago

I mean let's be real... no one should ever use anything-"maxxing" in earnest, regardless of whether or not the definition is malleable

1

u/Zestyclose-Sink6770 2h ago

What about my definition

Use Tokens Conservatively

2

u/Majestic-Watch-2025 4h ago

> how to make the most out of less tokens

This is the right attitude though. You should be thoughtful and efficient using any tool. And you have to look at the ROI

18

u/promotionpotion 7h ago

Exact same happening where I work. But ofc the insane increased productivity expectations remain…lol

34

u/Angriestanteater Wannabe Software Engineer 7h ago

My org sees AI as an obvious win. We have concerns about token costs as we have unlimited tokens for all devs. However, we are still waiting to see how things play out. For now, we’re just trying to maximize use while we can. No point optimizing when the market around tokens and models are changing every month.

Our devs are still owning the code in their PRs so we aren’t seeing a significant quality drop or anything.

12

u/rovermicrover 7h ago

If you keep token maxing your leadership is going to have to trade salaries for capex…

9

u/Angriestanteater Wannabe Software Engineer 7h ago

That’s next quarter’s problem.

1

u/FearlessPark4588 4h ago

so much tech debt to go after before the budgets dry up

21

u/orbit99za 7h ago

I recently applied for a job, have interview this week that Specifically Stated they whant Senior Devs who can actually "old school read and code" and only use AI as an adjacent tool.

This is a large Corp, they have the cash, very interesting to listen the recuter.

13

u/Information_High 5h ago

I'm not sure whether I want to hysterically laugh or sob at the notion that knowing how to read/write code is now "old school". 🤦‍♂️

1

u/orbit99za 1h ago

In 2005 my Comp sci lectures where so full of crap, we had to write exam Code on paper books, no IDE with a pen, or pencil.

Try reversing a binary tree on paper , in an exam hall sitting next to a humanities student.

1

u/DrSpc 20m ago

I had paper coding exams in college in 2015

5

u/drahgon 6h ago

Bro, I wanna send them a résumé put on a mustache and then send them another résumé to double my chances

2

u/Majestic-Watch-2025 4h ago

Ooh I like that wording, maybe I'll use it in the JD I have to write this week

13

u/Nervous-Assistant659 7h ago

Just 6 months ago they were daring us to make them care about AI spend. Now they're backpedaling hard with token limits.

6

u/auronedge 7h ago

Costs money man

4

u/drahgon 6h ago

The slop that gets generated when you start using AI is intense as a company, especially on the non-coding side. Coders always had a process to prevent slop, reviews. There’s a lot of people looking at your stuff but all the product people for instance in my company they write tickets now that are complete Garbo. They’re just AI brain dumps where it goes through the code and recommends solutions and it talks so technically it’s just hard to even consume the ticket. And there’s just nobody checking them which is why this is happening. We have to take these tickets and either put in the work to figure out what they really want or we have to use AI ourselves to even comprehend them.

3

u/ButterflySammy Senior 7h ago

I mean, if you feed everyone's work into AI and ask AI to report on the value, it's going to pick higher numbers than a human.

People know they have to get their staff to take lower numbers than is justified, and they can't say that out loud or document it in code.

It's pure institutional knowledge stored only in brain meat.

AI can't use it.

AI just goes "This guy is doing great, meeting and exceeding all the goals he should, and he makes so much money for the company and we pay him so much under the going rate we should give him a raise".

Can't have that. Human bosses know they're supposed to under sell achievements and say the company can't afford any raises right now.

3

u/throwaway09234023322 7h ago

My org pretty recently did the opposite. They said AI was helping a lot and offered higher limits

2

u/Acrobatic-Ice-5877 6h ago

Management changed their tune at my company a month or so again. No more licenses and a $40/month limit for those that do have access. I still use my own codex though. I have the $20/month subscription and have always used the cheapest model.

2

u/SomeoneNewPlease 13m ago

$40 a month makes no sense, I burn through that in a few prompts. I’d rather not use AI than babysit the cheapest model. And why are you using your own subscription at work?

2

u/Majestic-Watch-2025 4h ago

My industry is experiencing this. Everyone was so excited by AI but now that they've used it for a while and aren't seeing the impact on the bottom line questions are being asked about actual effectiveness.

3

u/ibeerianhamhock 7h ago

Tbh AI works well when you barely use it and when you lean super hard into it. Eveyrhing else in between is kind of a mess

1

u/Illustrious-Lime-878 4h ago

That's kind of automation in general. It has an upfront cost but pays off overtime. But if you don't complete the full thing, you get the worse of both.

1

u/FearlessPark4588 4h ago

No, mine is in all aspects doubling down. Could they change? Sure. But no signs yet.

My guess is they've made big bets on certain outcomes as a result of AI that haven't yet happened or happening slower than anticipated (which is an extremely common outcome).

1

u/geekpgh 3h ago

My company is doubling down, they want to eliminate human code review so we can ship even faster.

We’re shipping more code, but it’s unclear we’re making any additional revenue.

1

u/EverydayEverynight01 3h ago

Yeah no, unless if you're at an early stage startup where you don't have a strong pmf this is a major mistake.

Even human written code has mistakes that has to be caught by a human reviewer or manual QA and in my experience having human oversight catches things even from good developers

1

u/SuchDrawing8585 2h ago

our company has been progressing use of LLMs incredibly slowly and keeping it optional.

So technically, we are still getting more and more permissions than we did in the past, but we haven't done anything stupid enough to regret it

1

u/UhOhByeByeBadBoy 2h ago

I work in public sector and people are starting to ask for access to agents. Non-tech people who want to speed up repetitive tasks etc.

After only getting into agentic coding the past six months or so, I’m terrified of the amount of token churn we risk by unleashing this on the average person.

I’m impressed at how easy it is to rack up a bill and either something is going to pop that makes all of this cheaper to run and easier to afford, or it’s going to get locked down for a lot of people.

1

u/coolthesejets 13m ago

My company just replaced a a piece of software that cost several thousand dollars a month with a vibe code alternative.

1

u/Manholebeast 4m ago

It's crazy to me this is being questioned because hyperscalers already spent tons and tons and tons of money and even incurred huge debt on this this yet revenue generation is still uncertain for so many regular businesses. This bubble can't burst fast enough and it's going to be painful.