Majority of CEOs Report Zero Payoff From AI Splurge 53
A PwC survey of more than 4,500 CEOs found that over half report no revenue growth or cost savings from their AI investments so far, despite massive spending. Of the 4,454 business leaders surveyed, only 12% saw both lower costs and higher revenue, while 56% saw neither benefit. "26% saw reduced costs, but nearly as many experienced cost increases," adds The Register. From the report: AI adoption remains limited. Even in top use cases like demand generation (22 percent), support services (20 percent), and product development (19 percent), only a minority are deploying AI extensively. Last year, a separate PwC study found that only 14 percent of workers indicated they were using generative AI daily in their work. Despite the CEOs' repsonses, PwC concludes more investment is required. It claims that "isolated, tactical AI projects" often don't deliver measurable value, and that tangible returns instead come from enterprise-wide deployments consistent with business strategy. [...]
In terms of the broader picture, PwC says it found CEO confidence has hit a five-year low, with only 30 percent optimistic about revenue growth (down from 38 percent last year). This points to growing geopolitical risk and intensifying cyber threats, as well as uncertainty over the benefits and downsides of AI. Unsurprisingly, concern remains over tariffs as the Trump administration continues its erratic approach to policy, with almost a third of company chiefs saying tariffs are expected to reduce their company's profit margin in the year ahead. In the U.S., 22 percent indicate their corporation is highly or extremely exposed to tariffs. PwC warns that companies avoiding major investments due to geopolitical uncertainty underperform peers by two percentage points in growth and three points in profit margins.
In terms of the broader picture, PwC says it found CEO confidence has hit a five-year low, with only 30 percent optimistic about revenue growth (down from 38 percent last year). This points to growing geopolitical risk and intensifying cyber threats, as well as uncertainty over the benefits and downsides of AI. Unsurprisingly, concern remains over tariffs as the Trump administration continues its erratic approach to policy, with almost a third of company chiefs saying tariffs are expected to reduce their company's profit margin in the year ahead. In the U.S., 22 percent indicate their corporation is highly or extremely exposed to tariffs. PwC warns that companies avoiding major investments due to geopolitical uncertainty underperform peers by two percentage points in growth and three points in profit margins.
Other uses for AI? (Score:5, Insightful)
Maybe slashdot editors could use AI to scan for duplicate stories that are on the homepage at the same time?
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Needs locking to prevent race conditions.
Re:Other uses for AI? (Score:5, Funny)
Hey, pipe down! I'm hoping EditorDavid can bring home the trifecta!
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Maybe EditorDavid *is* AI splooge.
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I've yet to encounter an LLM that is so "gifted", so perhaps not.
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Unless I missed one, it msmash got the trifecta [slashdot.org]. Maybe EditorDavid can get the superfecta?
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+1 Funsightful
Try again in 10 more minutes (Score:2)
It's not supposed to pay off (Score:1)
They could care less if AI is profitable because the goal isn't to be profitable it's to get rid of workers and consumers but still have private jets and yachts.
It's a return to feudalism only you don't even get the affordances of a peasant.
Nobody has 100% uptime (Score:2)
Nonsense, we're all going to continue to have electricity. But why would serfs need electricity every day of the week? Four or five days a week ought to be plenty. Besides, they shouldn't be working remotely when they can come into the office where there is always electricity available.
And if you don't have a decent job, then really you should have plenty of free time to arrange your laundry and other tasks on Power Days. As long as the schedule is predictable then there is no valid reason to complain.
Re: And everybody will see for sure I was right wh (Score:1)
So close! (Score:2)
So close. So very close. (Score:5, Funny)
One story between the repost. Come on, editors. You can do it. You can dupe directly in a row.
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Mod points, mod points! My kingdom for mod points!
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if nightflameauto can do it with comments, the editors can do it with stories!
I wish I could mod comments responding to me. That deserves a +1, Funny.
News for Nerds (Score:1)
Twice if it Matters
Turns out (Score:2)
AI is just a plot by Big Hardware to sell you more hardware.
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It's a plot by big hardware to sell hardware now for future use for future money. And they'll finally be able to use it just as soon as they get the go-ahead to build the datacenters which are contingent on the availability of power. The permits for the new power plants are three to five years away, and construction, assuming everything goes to plan, will begin in 2030 at the earliest, assuming the AI companies talked to the power companies five years ago.
interesting (Score:2)
Of the 4,454 business leaders surveyed, only 12% saw both lower costs and higher revenue,
Tell me more about this 12%
Super-methamphetamine + self-reported metrics. (Score:3)
Tell me more about this 12%
Corporate America doesn't look kindly on "well, we tried, but it didn't go as planned, let's do something else instead" Every exec that pitches an initiative has to make it succeed. If you're a VP and you suggest, AI, you need to justify not getting fired from your job that you're overpaid to do. So yeah, I am sure this 12% is self-reported. Even if LLMs were as good as promised, it's not easy to quantify productivity gains.
I am confident giving every employee huge quantities of super-meth would help
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You'd think that this would move NVDA's stock price but people are too busy taking AI meth hype to notice the difference.
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and ask them how cloud cost savings are going for them
As expected (Score:2)
Early adopters of immature tech always see this
If LLMs were legit, the world would be like Roblox (Score:5, Insightful)
When you log in, you see a few huge hit games and 1000s of low-effort clones. You see a lot of sloppy mashups created by kids or some just fucking pointless games. My kids LOVE them. One was where you could log in and dress up like your favorite Disney Channel characters...and that's it...no point...my daughter loved it, I was bored out of my skull. Why do I bring this up? Some weird kid said...hey, I want to pretend I am in a generic city and look like Addison and Zed while my favorite songs of theirs plays in the background....and she/he made it so. You see brawlers where the hulk beats up superman, omniman and homelander. There are COUNTLESS low-effort "obbys" that mostly suck. Additionally, there are quite a few great games on there.
Why are we not seeing the same with LLMs and AI. Why are we flooded with AI companies telling us about their models, but not a wave of low-effort startups? Why aren't tiny VC-funded companies upending existing markets? Afterall, Oracle makes an obscene amount with their offerings...why isn't some 5 person startup offering a copycat vibe-coded offering for a fraction of the price? Why aren't vibe coders resurrecting obsolete software and games? Why aren't we seeing a billion low-effort AI clones of popular old games? There are infinite ways to make unfathomable money with AI....but for now, all we get are AI services and promises?
Roblox Studio does everything for shitty game development that Sam Altman, Jensen Huang and Kara Swisher say AI can do for pretty much anything and everything. Given that it's been out for 5 years, why are we not flooded with these startups producing mostly crap? Nearly EVERYONE has used Gemini or ChatGPT at least once. Very few come back regularly.
It's no surprise that these AI investments are not paying off. If hyper-motivated entrepreneurs, usually in their early 20s, cannot take this magic tool and produce a business worth attracting VCs, how will a major corporation that actually cares about existing customers and it's reputation?
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Oracle would never let an LLM be trained on their valuable intellectual property.
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To be honest, there's nothing spectacular about Oracle's products. Plenty of SQL databases are on the same level as Oracle DB, including at least one FOSS one (PostgreSQL.) Plenty of languages compete with Java, and many, even in the same field (C#) are better.
Oracle's money is made from sales to companies scared of picking anything but the big names, and lawsuits over misleadingly written or poorly understood contracts and licenses.
I think the GP's problem there is that he underestimates, not overestimates
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The whole premise of this comment is wrong. Where are the "vibe coded killer apps?" Why did Netflix oust blockbuster? It had nothing to do with coding. Netflix ousted blockbuster because they didn't have to own real estate.
>why are we not flooded with these startups producing mostly crap
Have you even been to the app store lately? It's full to the brim of useless trash and clones.
Have you been on any social media website? It's 100% flooded with useless crap. I think you've kinda missed the entire p
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Why did Netflix oust blockbuster? It had nothing to do with coding. Netflix ousted blockbuster because they didn't have to own real estate.
Anyone who invested in real estate back when Blockbuster was around is probably a billionaire today.
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The post is his selection bias.
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Have you even been to the app store lately? It's full to the brim of useless trash and clones.
Nothing new there then.
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"Have you even been to the app store lately? It's full to the brim of useless trash and clones."
AI generated crap is cheaper to produce than bespoke artisanal crap. The point is you should be able to realize a better gain from the AI crap even though it is still crap, but there are few if any examples..
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I think the big issue is that replacing a white collar worker's core tasks really does require full-blown AGI. There is no "it can almost report sales tax to the state comptroller." It either does it, flawlessly, every single time, or bust. Current reasoning models are pretty good, but they're not able to maintain focus and iteratively refine a piece of work over the course of days, which is what's needed to complete certain tasks. However, for some jobs that require content creation, it can be a big time s
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Yes if it was worth the trillions of dollars put into it, why aren't we seeing trillions worth of results. Why can't we put these "agents" to work programming an alternative to the MS/Google ecosystem for EU-Linux for example? That could be worth hundreds of millions alone.
In work I'll do timetabling for a school district - Imagine I say to an AI Agent - on \\server\share are the building plans, student list, list of subjects, and which students chose those subjects. Make a timetable for next school y
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It is unconceivable to me how someone can actually go have a look at Roblox and still let their kids on that platform.
"They love it!"? Well, yeah my kids used to sit in front of Netflix like little consumer zombies because they were unable to resist Netflix' recommendations and couldn't tell when an episode ended...
So... I unsubscribed from Netflix.
Children would love Cocaine, too, is they were given access to it.
Every example you gave was an AI service (Score:2)
You mean like Perplexity? Or like character ai? You only don't recognize the successful startups, because they quickly look like established services. But keep in mind that the LLM like you know them today are barely three years old. No, Perplexity wasn't always there to be a Google competition, they are still at the startup stage. They are still living of VC money at the moment.
The iPhone was released in June 2007. It's fair to say that in June 2010, there was a massive revolution in smart phones disrupting many businesses and our general way of life. And it was a MUCH harder sell to get iPhones with $100/month plans into everyone's hands than to visit a free website, like ChatGPT. 3 years is an eternity for a website (ignoring that ChatGPT was officially released in 2022). Apple and Google convinced the masses they needed to buy these expensive devices with exorbitant monthl
Bubble -- (Score:2)
'pop'!
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You say that, but... (Score:2)
The companies that will be gone are the ones that mostly don't matter. Most of big tech, with the exception of AWS, is made up of companies that literally contribute nothing to the world.
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Big tech is not affect by such bubbles. Look how many big tech companies from before the dotcom bubble are still around. All of them.
Does anybody believe OpenAI would be affected by some bubble popping? Google? Anthropic? Meta?
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The big companies survive, not all companies do. Here is a history lesson from 00's https://en.wikipedia.org/wiki/... [wikipedia.org]
And that isn't true that some of these bigger companies couldn't be damaged by this, they are spending multiples on AI of their yearly revenue. At some point they are going to have to pay the loans and investors off. If their revenue doesn't go up in multiples then solvency will be an issue.
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Just thing about Facebook. People laughed how it should ever make profit. Think about Amazon or Netflix. Investors of such companies are thinking in decades. They know OpenAI is losing money now, but they know they will probably have their letter in GAFAMO and be one of their best investment. Even if they take a hit by a bubble they'll come up again. Their main asset is not even ChatGPT, but hundreds of companies using their paid API. Which isn't even cheap compares to alternatives.
./ Editors Report Loving Dupes (Score:2)
Deja vu
https://slashdot.org/story/26/... [slashdot.org]
Thanks for the link (Score:2)
Deja vu
https://slashdot.org/story/26/... [slashdot.org]
Thank you for posting the link. Much more useful than just complaining "waaaaaah it's a dupe!" If I had mod points, you'd get 'em.
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The original is only two stories down on the same page . . .
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The original is only two stories down on the same page . . .
For now.
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This may come as a shock, but not everyone uses everything the exact same way you do.
pilot projects (Score:2)
"pilot projects are by their very nature typically small scale and isolated in order to demonstrate the viability of a concept before risking an enterprise-wide rollout."
Trying some things out on a small scale is exactly what you want to do initially with this tech. And that being the case, it isn't realistic to expect reduced costs and higher revenue at this very early stage. Also they will find that people need training in order to understand how to work with AI effectively. That takes time.
One thing they don't care about... (Score:2)
Is that AI might make the jobs of their employees easier, even if it doesn't help the bottom line.
Duh. (Score:1)
Dupe (Score:2)
https://slashdot.org/story/26/... [slashdot.org]