AI spending has been irrational and reckless and fear driven for a while now. They are not aiming at incremental improvement, they are chasing the AI White Whale - superintelligence. This is out of greed and fear that someone else is going to "get 'there' first" without even really understanding what that means entirely. Its irrational behavior that dovetails nicely with our hyper-gambling aware society and tech-bro/cyrpto-bro ethos.

When it goes belly up for never attaining profitability the way needed to pay down the reckless debt loads being taken on, there WILL be a hard crash. It is coming as surely as the housing market, dot-com and Y2K bubbles of recent vintage - which is why the billionaires are so keen to buy the government and eliminate its ability to hold them to account.

Ugly times are on the horizon.

And in the consumer services sector, they have already dumped many, many human employees. What's left is a cosmic piece of crap. It simply doesn't work much at all. Rebuilding that is going to be a real challenge.

We're finding out how bad it is through personal experience now.

When DOGE was done You got an AI bot that plays you along for a few minutes, then unceremoniously hangs up on your ass, instructing you to call back later... Rinse & Repeat...

...that this is a winner takes all scenario.
I find it hard to believe that the other competitors will fold their tents and retreat.
There's competition now; there will continue to be competition.
The "potential" chased by these investors will never be at the level promised because no one company is going to be that dominant.

None of them are even close to profitable. They're only being kept alive by venture capital and chip manufacturers subsidizing them as customers. They're banking on being able to impose monopoly prices in the near future.

Yes, the internet changed a lot of things but those changes weren't anywhere close to the wild predictions. The internet replaced boring low paid insecure retail jobs with boring low paid insecure jobs in warehouses and logistics (e.g. Amazon).

AI will be similar. AI promises the moon but in the end will only make incremental improvements. So far the most successful implementation of AI is in military drones that can be taught to identify and attack targets on their own and are, therefore, immune to electronic signal jamming.

Few are outright clamoring for it.. (outside of a few techies)..
Microsoft Co-Pilot is a bust!

I don't know of anybody who would prefer to deal with an AI approximation of a human rather than simply talk to a human.

The AI owners are making their product useless by insisting that the AI return answers that align with the interests of the owners. They are making their product useless by giving it trash, lies, and misinformation to learn from. AI is naive. It doesn't smell bullshit and reject it. Instead, it eats it, repackages it, and spews it out again.

Garbage in, garbage out. A simple lesson that apparently has not sunk in.

They're going to need some extremely high paying customers to keep them afloat soon. And that's going to end up being governments controlled by oligarchs and dictators which will use them to oppress their own people through surveillance, propaganda, subversion, and extortion.

"Their only path to profitability is evil."

Very succinct and clear.

Good job!

(Of course, 'evil' does not seem to bother us as it once did, so... )

“AI is naive. It doesn't smell bullshit and reject it. Instead, it eats it, repackages it, and spews it out again.”

They forget one sales tip that many of us learned during our first job: the customer is always right. And you do whatever you can to accommodate that on the way to making the sale.

Trump is behaving as though NOBODY ELSE knows ANYTHING, and only the Donald knows ALL.

So you are left with ONE job: to agree and bow down. Got it?

takes decades to bring in new tech., as a former IT guy myself, we bought in the Internet (data networks), originally for the Telcos, to save on private line expenses after breaking away from AT&T. Many got the thought that 'Hey, we got these data networks, lets sell the bandwidth'. It literally took years and years to implement, putting the infrastructure in, getting the tariffs written and implemented, etc., all back in the early 1980s. The savings were significant, the annual savings alone at SWBT (one of the Telcos split away from AT&T) estimated annual savings over $200 million in private line expenses vs. using a packet-switched data network (in effect, the ntwk sized itself, based upon demands of the ntwk on a per call basis (unless you're a PVC, perm. virtual circuit).

Be interesting to see what's coming next...

and it is frustrating.

I needed a giggle today.

Simply inedible slop.

When I was on the road, it was handy. I haven't eaten any of that in 5 years now. The coffee is still good. That's it.

All this data they have on us, all this AI is meant to con us out of our money. What happens when everyone maxes out their credit cards? What happens when there's nothing left to con us out of? What happens when they finally have it all?

I'm just focusing on one element. That's the only way I can operate. One Thing at a Time!

However, all of my accounts and credit cards are tightly controlled by me. I don't know of any way for bad guys to get at them, and I am intensely looking for people who are looking at opening.

For example, all of my credit cards have Zero balances each month. All of my bank accounts require my new permission for any transactions over a certain amount. Period. If you're not set up that way, talk to your banks. They can do that for you, too.

It will take a lawsuit based on faulty AI output to help bring this AI crashing down.

Nascent use cases and outcomes are far from determinative. Bubble? Certainly, but Anthropic Mythos findings and the AI-generated C compiler are for real. My girlfriend uses it for lesson planning for language classes. Our team has had success automating project management tasks. The need is for a stable, well-defined AI Operating System that can build confidence in the stack: eg.

https://newsroom.ibm.com/2026-05-05-think-2026-ibm-delivers-the-blueprint-for-the-ai-operating-model-as-the-ai-divide-widens

Edit to add less techy discussion:

It can be very useful, no doubt. But, it cannot do all the things the AI Billionaires are saying it can do. They know that intimately. Used properly, it can streamline some things and cut down on mindless coding work. It cannot create anything from scratch, however, that is useful.

It has been sold to investors as a magic pill that makes us all strong and smart. They have put huge amounts of money into the AI corps. Hundreds of billions, at least. However, the initial applications are not working. and they're the easy ones. If investment confidence wanes, out comes the money, and fast.

It's more than just a bubble, my friend. It's a potential financial disaster. If you have important money in it, get out.

It's an extremely powerful game-changing tool despite any number of overblown claims.

The computer magazines disappear, along with my freelance work. Real estate values were affected. I sold my CA house for way more than it was worth. I moved to Minnesota and bought twice the house for half the money. Then, even CA home prices froze for a while. I got in on the last gasp of high prices.

How many computer companies now make and sell computers? Vastly fewer than before.

Things recovered, certainly, and they will again, but not without a great deal of pain for some. And, with that, I'm done with this subthread.

Oh, and if you thought I was AI, I'm not. Instead, I keeps seeing things I wrote in AI output. Isn't that interesting? I don't write for a living now. In fact, I'm 80 years old and sitting around enjoying myself.

Just like personal computers were back in the 90s. The technology will get better and better and faster and improved, and I suspect the data centers will also be improved to require less water less electricity and things of that nature.

Some are predicting that AI is going to take over so many jobs that droves of people will be unemployed soon. I remain skeptical. Thanks for this additional bit of hope.

I don't think AI is going to directly replace mass numbers of jobs. I think those jobs will be eliminated by corporations and businesses and AI will be used as the Scapegoat. Meanwhile, anything that once resembled customer service will be lost forever, as we've been losing it in pieces ever since they came out with a way to use the robotic voice over the telephone. I was in IT since I was in my 20's. I knew where this heading way back then... and you didn't have to be a genius to see it. All you had to do was take into account the greed of (especially) millionaires, and you could make an educated guess when and where it all started.

I do NOT like AI... I don't trust AI. I don't think it'll ever take over from the human being because at issue is that AI doesn't have an intelligent, creative bone in its code. It takes all its cues from humans and human history. It's nothing unless it's fed the data already done and accumulated by humans. I think it degrades and demeans anything of beauty and creativity. And it certainly doesn't have a soul, which is some of the extremism I've seen written around these programs.

I DO believe that they can be utilized to do good things. I don't think that will be the overwhelming use of them, however. Unless someone can convince me otherwise, I don't believe they were built altruistically with a human need in mind... such as medical, etc. That is where AI could shine - in diagnostics, etc. No... I believe most fervently they are being built to put normal people out of a job and to reduce population numbers. Just look at who our "Tech Bros" are and you can see it in their upbringing... White, South African Apartheid enthusiasts and victors. They have no use for normal people. Hell, they really have no use for anyone who isn't north of being millionaire!

JMO... YMMV, obviously.

However, unfortunately I think that it will be a bigger technological advancement than the computer.

We ain't seen nutin yet. Everything from much more advanced cars driven by AI to smart homes.

The best scenario would be that like the computer it will increase productivity that we will all benefit from. The worst scenario is that it puts a lot of us out of work.

We shall see.

What about all the resources it will gobble up without even being required to monitor or report or meter consumption? Are we going to see electricity grids failing to deliver to households because the data centers are taking everything. And what about water resources? Aquifers/rivers across the US are running dry. Things could get pretty thirsty in many areas. Our resources are finite.

I just think we need to scale back on the expectations of benefit significantly.

have more to do with the fact that there are eight billion humans on earth (soon to be ten billion) than the effects of technological improvements.

Ten billion humans, all wanting a good standard of living, is one hellva impact on the environment.

When I was born in 1947 there were only about 40% of the humans alive then than there are now.

The point of my post was to say that right now it is really too early to determine if the impact of AI will be positive or negative in the long run.

As for me I just hope the Terminator movie premise is not what we are looking at.

It's the impact data centers in the US will have on the US. It won't be pretty.

And I agree: they've improved a little, but they aren't that great.

I believe the oligarchs think they'll rule us through AI.

There seems to be a kind of bullyish desperation in the
way they're trying to force data centers in so many places.

Here's the problem, though. Who exactly will they rule,
and where... especially if the only people left are those
like them.

I've posted about some of what he's written.

Two of the more recent:

Ed Zitron on AI companies having deceived users w/subsidized rates they can't afford: There's no way to right this ship
https://www.democraticunderground.com/100221143649

Must-read from Ed Zitron, 4/28: AI's Economics Don't Make Sense (It's like if Uber charged users $20/mo for 100 rides)
https://www.democraticunderground.com/100221206291

Will be to disenfranchise all low wage workers in 3rd world country call centers. They may even be able to train AI to con elderly people out of millions of dollars by having them pay IRS fines with bitcoin.

he's an economics major at a major public university where they are incorporating AI into their studies - in terms of "this is how we can use AI'. And they are very explicitly banning it from classes like beginning Comp Sci, where you really do need to learn to code rather than ask AI to do it for you.

I recall when it was 1999 and people were convinced things were going to blow up when the clock turned to 2000 - I feel like the same kind of hype has happened with AI. I think it will continue to improve, some will continue to use it, but it's not going to be taking over the planet anytime soon.

vs paying live people. Think of the tolerance/acceptance that they had for overseas contact center engagement. That BPO model still lives and breaths and is huge business.

I work for a company, and with companies, that makes and sells AI tools, and businesses are buying. Most is designed to augment and assist human engagement, but not all. The ROI for replacing people, foreign and domestic, with AI for support or customer service is a no brainer for them(we don’t say replace btw, we say “repurpose” - as gross as that is). Most companies feign caring about improving customer satisfaction, but when “fiduciary responsibility” and “share holder value” are in play, the customer and employees are just a blip. I see it every day. And not just in customer service. CFOs don’t care about anything but the money.

And what you see on the internet is generative AI crap. There are many Agentic AI tools that work within well defined frameworks, against solid DBs and knowledge bases, with guardrails, human intervention, etc. It’s much better than most are likely being exposed to. I use it every day. Example: I am on phone calls and meetings all day. Everyone of those interactions requires note taking, action item assignment, follow up, looking up old notes for reference, etc. AI does all of that and hands it to me before, during and after. Need to talk to someone in Hungary, China, Japan, France? - which I do - no problem, it translates in real time. Etc etc.

I don’t disagree completely, there may be a revolt of some sort, and when my youngest is done with school, I’ll be giving them my 2 second notice and getting a job at Home Depot. But it is here to stay. You can take that to the bank.

In 2026 the top AI companies will spend about $800 billion on tech infrastructure. In 2027 it will be $1.1 trillion.

They have the cash but due to competition, some won't survive, or will be unprofitable. They have bet the farm. They built a data dump and programmed it to sound human. It will automate tasks, it is faster than humans at many things. It is a tool. It can't think the way humans do.

They all need the masses to spend $50 a month for AI access. Good luck.

Last edited Thu May 14, 2026, 06:52 PM - Edit history (1)

to be shut down wholesale prior to any major release due to some stupid hallucination. Too bad that will have to happen as the price to pay for finding out just how bad it is of a "Management" decision. Funny thing, where its talents lie is in replacing management, which would be much more cost efficient than paying exorbitant salaries & bonuses.

That demonstrated the amount of noise they make, they are noisy. Even at 1 am

"Residents living within a half-mile of new AI data centers are reporting dizziness, nausea, vertigo, and sleep disruption from sound they can't hear.The source is infrasound. Frequencies below 20 Hz sit beneath the floor of human hearing but not beneath human physiology. The body's vestibular system registers low-frequency vibration directly, triggering the same response as motion sickness. The cooling systems and gas turbines running these facilities 24/7 produce exactly this range.
"Noise ordinances were written for audible noise. Decibel measurements start at 20 Hz. Infrasound doesn't appear. A 200-megawatt data center with tens of thousands of tons of cooling equipment can run around the clock with zero measurable noise violation under any existing zoning law in the country.

The developers know this.They're not randomly selecting sites. Rural jurisdictions get targeted because they lack the legal staff, the engineering expertise, and the regulatory framework to mount any challenge. These facilities require new transmission interconnects that take 5 to 10 years to process through utilities. Building behind-the-meter with gas turbines bypasses that queue. Speed to power, zero delay, zero grid dependency.

Households who bought before the announcement have two options. Sell at a price no buyer will pay, or stay and live with symptoms their family doctor has no framework to diagnose as infrastructure-related. That cost never appears in a hyperscaler's earnings call.

The regulation will catch up eventually. It always does. But the facilities will already be running. The permits will grandfather everything in place.The turbines don't stop when the legal framework finally notices them. “

(via The Other 98%)

there won't be any people to hear the noise. AI can chat among themselves, and annoy each other to oblivion.

They had a story on the local news about the very poor wheat harvest this year. They usually harvest in June, but they will harvest early this year

while local rural homeowners and farmers can no longer reach fossil water with their current wells and the little cities keep approving massive housing tracts because housing in Tucson is getting tight and WAY too expensive.

Food's gonna be so expensive people will be in dire straights soon.

in the past about electricity, automobiles, computers or any other major paradigm changing technological advances of the last century.
While there may be a stock market bubble for these pioneering stocks, it seems ridiculous to say that this new leap forward in computing power will not significantly be a part of humanity’s future.

In the legal world, there are a ton of stories of lawyers getting sanctioned for AI generating bad filings with made up case citations.

AI is a rush job that techs did, especially with Musk at the helm.

Corporations may have acted too soon, firing and laying off workers.

I bet they still charged their clients a full fee however

I don't have much. What I have is divided among cash, XMAG, a consumer goods ETF, and an emerging markets ETF.

XMAG is basically the S&P excluding the overvalued magnificent 7 (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta Platforms, Tesla). Wish it also excluded other AI related like Palantir Oracle, etc... Oh well.

Also highly recommend the article below. A grim picture: The entire U.S. economy is an all-in bet on AI. Incredibly fragile for that reason alone, but the fragility is compounded by the circular, incestuous deals artificially inflating values, and increasing concentration of wealth (e.g., economy currently being kept afloat by spending of the wealthiest, who can -- and will -- seriously cut back when things go south, unlike the rest of us).

https://www.profgalloway.com/how-does-the-end-begin/

Many of the same speculators are driving expectations into the fantasy range because they don't have an Effing Clue what it can actually do or how much integration it will take to be genuinely useful, or safe.

Personally my experiences with AI so far have not been promising. It cannot actually think for itself, understand American grammar in all its variants (common slang usage confuses it terribly), nor can it operate effectively without editing and monitoring.

I have no doubt that mature AI apps will be useful, whether situationally or culturally appropriate, or not. But those who imagine the new music, Film, or graphics arts will be best made by AI are fooling themselves, as they often do when trying to substitute BS for actual talent, imagination, or genuine content.

Personally, in 1995, I created an experimental little app for Windows. Called FLAMER. It was a satirical AI engine. What it did was read in messages from discussion sites

Then. It looked for keywords in a specific database It held in memory.. That database was large, but fixed. I populated the data, or it could be loaded from a file.

Next, it wrote a reply to the message it had read in. The reply specifically insulted the writer of the message. That used a language module that selected the words, phrases, and structures stored in a language database, also loaded from a file. A small language model, but large enough. That, too, was flexible and new files could be created.

For speed, all data was stored in memory in matrices.

Finally, a randomized insulting reply was generated from the SLM, and could be pasted into the thread by the user. Internal checking prevented duplications and so on.

Did it work? Pretty well. Well enough that the temporary users I used to experiment were often banned from the forums I used for testing. It was a joke program. A venture into AI.
I got bored, though, so I released the coding into the public domain.

In an interview with the New York World published on November 17, 1895, on the topic of automobiles he said, "it is only a question of a short time when the carriages and trucks of every large city will be run by motors. The expense of keeping and feeding horses in a great city like New York is very heavy, and all this will be done away with. You must remember that every invention of this kind which is made adds to the general wealth by introducing a new system of greater economy of force. A great invention which facilitates commerce, enriches a country just as much as the discovery of vast hoards of gold.”
https://www.saturdayeveningpost.com/2017/01/get-horse-americas-skepticism-toward-first-automobiles/

At the time most banks did not lend money to either consumers or manufacturers of automobiles because they were seen as luxury items rather than a productive part of commerce.

It would only take around 35 years from that point for the car to replace the horse.

Today, over 100 million Americans currently hold active auto loans.

It took just 66 years to go from the Wright Brothers' first 12-second powered flight in 1903 to Neil Armstrong walking on the Moon in 1969 despite the prediction just sixty-nine days earlier that it would take "one million to ten million years for humanity to develop an operating flying machine."
https://en.wikipedia.org/wiki/Flying_Machines_Which_Do_Not_Fly

The term "artificial intelligence" was officially coined and established as a discipline in 1956, so this is actually not as nascent a technology as many would actually believe.

What we see today is probably the equivalent of the Ford Model A 5-window Coupe.

In five years it will very likely be far beyond the equivalent of the 2026 Mustang GTD.

Minimize AI at your own peril.

I see your logic clearly.

I hear color TV will never make it either

I work with AI regularly, and find it enormously helpful in many areas.

Often, they are used by it.

People use it, and have been using it, for years, and daily. Even you. Google maps, translation, streaming recommendations, voice recognition, fraud detection, education and countless other areas.

The entertainment industry has been using AI, algorithms, machine learning, and predictive analytics on scripts, editing, music and graphics since the '90s.

People who proudly claim they don't use AI are just, at best, misinformed.

There is quite a bit of FUD going on here.
No doubt, if DU was around when cars were invented, quite a few people would be against the horseless carriage, decrying the noise they make, lamenting the loss of farriers, whip makers, and shovelers.
We are in the infancy stages of AI. It will evolve in the next few years at a rapid pace. Progress, ability and usefulness will advance at an exponential rate. Shaking your fist at the clouds isn’t going to change a thing - it’s here to stay.

Sometimes we don't know what we should fear.

S&P 500:

https://en.wikipedia.org/wiki/S%26P_500

The S&P 500 index is a public float weighted/capitalization-weighted index. The ten largest companies on the S&P 500 index account for approximately 38% of the market capitalization of the index and the 50 largest components account for 60% of the index. As of January 2026, the 10 largest components are, in order of highest to lowest weighting: Nvidia (7.17%), Alphabet (6.39%, including both class A & C shares), Apple (5.86%), Microsoft (5.33%), Amazon (3.98%), Broadcom (2.51%), Meta Platforms (2.49%), Tesla (2.31%), Berkshire Hathaway (1.68%), and Lilly (Eli) (1.55%).[4]
(snip)

NASDAQ:

https://en.wikipedia.org/wiki/Nasdaq_Composite

The NASDAQ Composite (ticker symbol ^IXIC)[2] is a stock market index that includes almost all stocks listed on the Nasdaq stock exchange... The composition of the NASDAQ Composite is heavily weighted towards companies in the information technology sector.
(snip)

Dow Jones Industrial Average:

Currently includes 6 IT companies (Apple, Cisco, IBM, Microsoft, NVIDIA, Salesforce) as well as Amazon.

https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

Is subscriptions to AI companions that look like impossibly beautiful models that will do whatever you command.

This is where money will be made.

Basically, he says not a crash necessarily, but a long slide to oblivion for most of the value invested, as the value of the product never approaches what was spent to bring it into being, until many, many years have passed -- if then.

https://pracap.com/global-crossing-reborn/

It's throwing money at a phantasm.

No. Have they over promised and under delivered? Yes.

Will it be a massive game changer? That is far more complex. As noted in this thread there are many people, probably millions, using the computer programs called AI. These, imo, are not true AI. Actual AI would be capable of acting completely independently of human control. The question then becomes how do we react to that?

Btw, the so-called technical leaps that have “increased productivity” are much less impactful than things from the early 1900’s. Things such as the widespread implementation of wastewater and water treatment. Improvements in agriculture that increased yields per acre. Telecommunications and transportation innovation. Advances in medicine including vaccines (fuck off RFK, Jr. you hack dilettante), improved diets, improved working conditions, improved housing, refrigeration, air conditioning, building codes etc.

One of the key issues that has had a major impact on the U.S. was the fact that our economy was basically standing alone astride the world at the end of WW2. Since the collapse of Bretton Woods the entire world has been engaged in a race to the bottom. AI won’t stop that. It will likely accelerate it. If people think jobs won’t be lost and people displaced by AI they are fooling themselves. Creative destruction of the past did create new technologies that allowed for the employment of massive numbers of people. The creative destruction of today and, probably, tomorrow will not result in the creation of new employment. Automation showed the beginnings of that type of creative destruction.

Social upheaval will not be fun to see or be a part of.

If the donor class gave a shit about any of that they would have at least pushed back on the trump cabal's destruction of our renewable energy infrastructure. They didn't - they managed to the quarterly cash haul and doubled down on fossil fuels.

Now, they are all focu$ed on AI like a game of musical chairs. Customer service aside - the water and energy use and noise polution are merely hiccups to the windfall$ they are hoping for. Consumer inconvenience isn't even a blip on the radar screen.

They are going to unleash this to run wild - until these AI systems wind themselves into an infinite loop that locks down all the things.

We need to buckle up.

I have only one use for AI. Search engines have become useless without it; even DDGo is forcing me to use their AI to furnish our downsized house. (Thrift stores are better!) I enjoy using my brain and as we age, it really becomes a “Use it or lose it” proposition. I fear education has become a huge babysitting operation to teach keyboarding and immersion in digital distraction, in spite of all the good teachers out there. I’ve been watching Republicans denigrate teachers and education since Saint Reagan sold Star Wars and Baby Bush decreed “Teach to the Test”. Enshittification is rampant, and people are cold, hollow shells with no empathy. I think an EMP would be good for this country; people would have to learn to talk to each other again.

How many of these huge “Data Centers” will actually be mining cryptocurrency? They would be pure profit while undermining fiat currency! Am I crazy?

As I've stated numerous times, folks with investments should look to professionals for advice regarding those investments. Predictions on DU about the market have a bad track record. An example: the prediction by one DUer back in early April that by the end of that month the DOW would have fallen to 10,000. For the recored, the Dow closed at over 49,500 on April 30, up over 3000 points from when the prediction was made.

To be sure, I can't and won't predict what will happen to the market as a whole, to the tech sector, or to individual stocks. That's why I rely on professionals. And, to be sure, while the OP seems to suggest a crash of the AI section is imminent, it leaves the timing vague -- a week? month? year? years?

Again, predictions on DU get a lot of recs, but they often - more often than not I think - don't hold up whether they are the seemingly endless stream of predictions that Trump was going to declare martial law in a matter of days or that he was about to kick the bucket or that he would be forced to resign by the end of last year and so on.

Folks are going to continue to make predictions and that's fine. But take them with the grain of salt that they deserve.

You'll lose out big time. Just size positions carefully. It's a real opportunity to increase your portfolio if you study it a bit.

I've had three major screw ups, (one retail, one medical, and one on a bill payer site) in the past week. All took time to sort out with a real human, and all took several phone calls, with my credit card being locked for a fraud alert at one point.
Aggravating.
Everyone I talked to blamed "new rules" or "new systems" when I asked "what the hell?" One example that blew my mind. At a private bill payer site for a storage unit that I have used for the past year, there was a pop-up during the payment process that was not part of the payment. I wasn't paying attention and hit continue, and it added $1.99 a month charge to be automatically charged to my VISA for an ad block service!

VISA caught it immediately and froze my card with a fraud alert! It also blocked me from paying the bill online, and the payment was due that day. More calls and bs. But good on VISA for catching that! I called the storage company and bitched about the shady pop-up that was never there before. No comment. They said they would make note that I was blocked from paying the bill.

It's not working.

There is certainly a market bubble occurring with these AI companies and trendy stocks without enough meat undergirding them.

But that is a separate consideration from the technology itself which is already integrated across a much vaster range of products and services than is perceivable at surface level.

You're already using AI, whether you know it or not. Whether you like it or not.

Not just customer service. Communications. Algorithms. The advertising DU uses to fund itself? It has AI in how that works now. Pharmacological and physiological research. I'm in nursing school and being trained with AI. Future medical professionals will use it - and they will know how to use it. Astronomers are using AI to analyze vast quantities of data.

Every internet search you make, every consumer transaction that isn't at a brick and mortar store using paper inventories - and even then AI is in the supply chain.

AI is getting so good, it's very difficult to detect on the Internet. I've seen videos I don't even question that turn out to be AI. And the easier and more accessible it is, the more people on social media, in politics, and in advertising will use it. Hollywood's ship has sailed no matter how many people protest.

Yes, it will have an insane environmental impact. No, it's not perfect. Nothing is. The Internet was a 14.4k geocities shitshow until it wasn't.

In 10 years, 20 years? People won't even give a thought to just how much is done with it. There will be articles, complaining, limp protests that go nowhere. Such is progress.

But the idea it's a flash in the pan trend that will somehow go away is not a forecast - it's a wishcast.

It's already here, man. That fleet of ships left dock ages ago.

Sometimes that uncle at Thanksgiving vibe doesn't steer wrong.

AI in my opinion is highly overrated.

Almost all our GNP is the data centers which creates no jobs.

The organizations quickly rolling out AI customer interfaces love the reduced costs for customer service personnel, of course. But they also just don’t care about the customer’s experience. They’re training folks to expect nothing from the company if a product goes bad, if a service is not delivered, if a bill should be adjusted, or, especially, if you want to cancel a recurring bill. As companies get bigger and effective monopolies become the norm, they simply don’t give a shit about their customers. After all, where else can you go for whatever it is they offer?

That is a sure fire sign that it will go bust.

for criminal things. It's a tool, but so far not one that works very well. I've had musicians send me setlists with the keys that are 50% wrong. I've had AI make a setlist based on the songs and tell me how the audience will react to these songs in this particular order. It's laughable. .

edit: I just hope when the powers that be decide to shut down AI, AI doesn't decide it doesn't want to be shut down.

https://en.wikipedia.org/wiki/Gartner_hype_cycle



Guess where we are?

Dissatisfied: Three-fourths of AI customer service rollouts are a letdown (UK tech mag The Register, 5/13/26)
https://www.democraticunderground.com/100221240628

Been there done that with people predicting that new tech will fail, fail, fail.

There are issues to be worked out but in the end it's the way.

And if not it will come at us from the rest of the world especially China.

Better to learn it and see what it can do for you.

As far as investments just take a look at the market.

I implore my fellow boomers to stay in the A.I. trade or risk many regrets down the line.

Size your positions appropriately though.

exchanges.

Anthropic's Mythos and its most recent Claude models are reportedly very capable. There was a voice interface AI that was so convincing a customer called back to compliment the "person" who helped them. So it either passed the Turing test or that particular customer was just easily duped.

But that's what the stuff they've released publicly can do. The stuff they're still keeping behind closed doors is probably far more capable.

People thought the Internet was a fad and when the Dotcom bubble popped it didn't kill the Internet. The AI bubble will probably pop or at least go through a correction but AI ain't going anywhere.

The architecture of agentic communication will determine the extent to which generative AI democratizes access to economic opportunity.

https://cacm.acm.org/opinion/the-agentic-economy/

Generative AI has revolutionized the way we interact with technology, allowing people to express their intent in free-form natural language. It has paved the way for AI agents that not only converse with users but also perform actions on their behalf, flexibly and with minimal guidance. Delegation to AI has already begun to improve the efficiency of individual processes, making both consumers and businesses more productive in the set of tasks they had already been doing. However, we believe that the more disruptive—and yet to be realized—impact of generative AI is its potential to drastically reduce the communication frictions between and among consumers and businesses. This could lead to a reorganization of markets, shifts of market power, and the introduction of entirely new products and services.

Consumers have traditionally faced high communication costs when initiating relationships with businesses, reducing efficiency. For example, a consumer seeking a new tax preparer might hesitate to switch because she would have to explain her financial situation all over again to a new person or online service. These communication hurdles can prevent consumers from taking advantage of better products and services or lower prices. Businesses have tried to lower these costs with tools like online forms and voicemail menus, but these often just shift communication costs to the consumer and can make interactions more rigid.

Imagine instead a future where every consumer has an assistant agent to communicate their preferences and personal information to businesses, and every business has service agents to interact with consumers and other businesses. These agents could be designed to interface with each other seamlessly and flexibly, transforming the landscape of consumer-business interactions. Delegating interactions to such assistant and service agents lowers communication costs and makes markets more efficient by expanding the range of options available to both consumers and businesses.

To unlock the full economic potential of generative AI’s communication capabilities, two developments are necessary. First, consumers and businesses must widely adopt assistant and service agents. This is already under way. Second, these agents must be designed to interact seamlessly with each other to facilitate transactions. On the technical front, there has been significant progress in standardizing such agentic interaction, with frameworks such as Microsoft’s AutoGen, and protocols such as Anthropic’s Model Context Protocol and Google’s Agent2Agent Protocol. However, it remains to be seen how these advances will be adopted and implemented, or constrained, given their complex interplay with and dependence on market forces.

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The Financial vs. Technological Economy

My thoughts on the AI bubble

Sinéad Bovell

https://sineadbovell.substack.com/p/the-financial-vs-technological-economy

The Two Economies Inside the AI Boom

On Wednesday, Nvidia ( the company at the heart of the AI infrastructure buildout) reported earnings that beat expectations. Revenue was strong, data center demand remained robust, and the company’s position at the center of the AI buildout was reaffirmed. The stock initially rallied in after-hours trading. Then it reversed and sold off sharply. On the surface, this doesn’t make sense. Strong results should lead to optimism about the future. But that’s not what happened. Instead, good earnings seemed to make investors more nervous, not less. Here’s what I think is actually going on: we’re watching two economies operate inside one market, and they’re moving on completely different timeframes.

What the Market Is Pricing

Stock prices reflect belief about future earnings. Right now, current earnings are strong, but belief in future earnings is weakening. That’s unusual. Normally when a company beats expectations, the market becomes more confident about what comes next. But with Nvidia—and really, across the entire AI infrastructure stack—something else is happening. The market is rightfully questioning whether this pace of investment can continue without interruption. It’s pricing in the risk of a slowdown, a digestion period, maybe even a full correction.

What the Technology Is Doing

But then there is the other economy, the technological one. And it’s operating on a completely different clock. If AI is a general purpose technology—and I believe it is—then we’re not looking at a two-year story. We’re looking at a 10-to-20-year transformation. General purpose technologies reshape economies slowly, then all at once. Electricity took nearly two decades before factories were redesigned from the ground up. The internet took almost 15 years before it became indispensable.

Two Timeframes, One Market

The financial economy is focused on quarters and fiscal years. It’s asking: when does spending slow? When do returns materialize? When does the infrastructure buildout hit its natural limit? These are legitimate questions. The technological economy is focused much further into the future. Companies are asking: what happens when this infrastructure is fully utilized? What happens when adoption moves from 10 percent to 50 percent? What does the world look like when AI is embedded in every workflow, every product, every decision? Both can be true. The market might be right about the next 12 to 24 months. And the technology economy might be right about the next 15 years. But why does this nuance matter for us? In our latest episode of I’ve Got Questions, I break down the bubble indicators I’m watching, where the risks are concentrated, and why—even if we see a major correction—this is exactly the moment to pay more attention to AI, not less.

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