Are we at peak AI hype or is the real impact still coming?

[codeberg]

The useful stuff is harder to find because there is so much noise around it.

The honest question is whether it is changing how you work or just adding a step.

Background: I have been going back and forth on this for a while and wanted a reality check from people who know.

Happy to share more detail if it helps

[QuantumKnight]

That is the conclusion most people following it closely are landing on. More to come on this I suspect.

The energy cost of AI is a story that is not getting nearly enough attention

[QuantumDay]

I have heard that but I am not sure it holds up. Appreciate it

[Quanta]

That is the conclusion most people following it closely are landing on. More to come on this I suspect. The energy cost of AI is a story tha

Agree with that, same experience here. Worked for me at least

[QuantumDay]

Good shout. Legend.

The energy cost of AI is a story that is not getting nearly enough attention

[QuantumDay]

Spot on. You are not wrong.

Nice one

[QuantumDay]

I have heard that but I am not sure it holds up. Cheers.

[QuantumDay]

I don't know about that. Good thread this

[Quanta]

Solid point, that matches what I ran into. Post back with what you find and we can go from there.

[WhatUQuant]

Seems like it from what I have seen. Worth keeping an eye on.

[KnotKnull]

Spot on. You are not wrong. Nice one.

I tried that and the catch was not obvious until afterwards. Might save you more than you think.

The gap between what people claim about AI and what it actually does in practice is still wide.

[KnotKnull]

Worth checking the small print before committing. I have found that the biggest savings come from the boring stuff nobody wants to do.

Good to know about

[KnotKnull]

That is worth it, agreed. The problem with most money saving advice is it assumes you have the time to do it all.

Worth a look if you have not already

[codeberg]

Yes, and I would add that it is even more true if your hardware is older. Happy to help further if you get stuck.

The gap between what people claim about AI and what it actually does in practice is still wide

[ElPresidente]

Agree completely, preparation is everything. Turned out alright when I did it.

The useful stuff is harder to spot because there is so much noise around it

[Totally]

Yeah that is about right. Good stuff.

The gap between what people claim about AI and what it actually does in practice is still wide

[Quanta]

Seems like it from what I have seen. Worth keeping an eye on.

Yeah that is the sensible route. I keep a list of what I do to every fresh install so I can repeat it without thinking.

Start there and see if it makes a difference.

The useful stuff is harder to spot because there is so much noise around it.

[ElPresidente]

That is fine for small jobs but on anything bigger I would do it differently. Post a photo when it is done

[SGHolly]

Okay that makes more sense than what I had in my head. I appreciate people explaining the detail rather than just the headline.

That is genuinely useful.

Most AI tools I have tried are impressive for a session and then disappear from my routine

[Myles]

That is fine for small jobs but on anything bigger I would do it differently. Post a photo when it is done.

That is the conclusion most people following it closely are landing on. More to come on this I suspect.

The energy cost of AI is a story that is not getting nearly enough attention

[JohnyBlue]

Sorted it the same way. Happy to answer questions if you get stuck

[FrostBear]

Fair enough. Every time without fail.

Proper useful that.

[QuantumDay]

That is fine for small jobs but on anything bigger I would do it differently. Post a photo when it is done.

That is the concl

That is exactly it. Legend

[Vanessa26]

I would be cautious about taking the early reports at face value on this one. The incentive structures in media mean certain angles get more coverage than they deserve.

I will keep following it

[Aaron]

Makes sense. Thanks for that.

The energy cost of AI is a story that is not getting nearly enough attention.

[JayJ]

That is exactly the lesson I learned. The part people always underestimate is the finishing, not the main job.

Turned out alright when I did it

[QuantumLeap]

Not sure about that bit tbh. Still playing it tbh.

The gap between what people claim about AI and what it actually does in practice is still wide

[Ridge]

Completely agree, and it is frustrating that this is not more widely known. Should sort it if the basics are fine

[SuperPosition78]

Turned out alright in the end doing it that way. Buy slightly more materials than you need, you will always use them.

Good luck with it

[Ria99]

That is the sensible route. Happy to answer questions if you get stuck

[Holly]

That checks out. Every bit helps at the moment

[Odd Maverick]

Still learning but that tracks. Every time I think I understand it something else changes the picture slightly.

That is genuinely useful.

The useful stuff is harder to spot because there is so much noise around it

[Coder22]

Honestly I think a lot of people confuse hype with usefulness
Just because the headlines slowed down doesn't mean the tech stopped improving

In fact it's probably accelerating behind the scenes

[Paige_68]

I think the hype will come in waves rather than one peak
Every major breakthrough will restart the cycle a bit

So it's less a peak and more a staircase

[Western Depot]

Peak hype maybe in terms of public attention, but not capability
Models are still improving fast and integration is just getting started

Feels like we're early but also already dependent in weird ways

[Cobra]

We might look back at this period as the awkward teenage years of AI
Lots of experimentation, some overconfidence, some disappointment

But the adult phase is still ahead

[Sega26]

I think public hype peaked earlier, but actual capability peak is nowhere close
We're still scaling models and figuring out architectures

It feels like we're mid-build, not near finished

[HeartbreakKidCurtis18]

The real impact is going to come when AI stops being a feature and becomes infrastructure
Right now it's still being marketed as a product rather than embedded everywhere

Once that flips, things will feel very different

[Mason0]

The hype cycle feels split between consumers and businesses
Consumers are already a bit bored, but businesses are just getting started

So both sides are at different stages of the curve

[GoldbergFan86]

Education and entry-level work are where impact will be felt most later
We haven't fully seen that disruption play out yet

That alone suggests we're not at peak impact

[HeartbreakKidCurtis18]

AI coding tools alone suggest we're not near peak impact yet
Even if they're imperfect, they already change how fast things get built

That kind of leverage compounds over time

[Cheeky Blake]

I think we've definitely passed peak hype headlines but not peak impact
The media noise is calming down, but real adoption is still ramping up in business workflows

It's like early internet days where people underestimated how deep it would go

[Warden]

I think the hype is shifting rather than peaking
It used to be "look what AI can generate", now it's "how do we actually use this in production"

That's a more mature phase in my opinion

[Danny47]

There's also a lot of silent adoption happening
People using AI tools daily without even labeling it as AI anymore

That kind of invisibility usually means it's becoming normal

 

The dot-com crash shows why mega-IPOs might mark the peak of the stock boomwww.businessinsider.com

[Wrench]

The interesting part is how quickly expectations reset
What felt revolutionary last year already feels normal now

That's usually a sign of real adoption

[Dank]

I work in software and honestly AI is already changing workflows a lot
Not in sci-fi ways but in small productivity boosts everywhere

Those small gains add up more than people expect

[FridayFeeling]

We might be underestimating how long real impact takes
Even the internet took years before it truly reshaped everything

AI will probably follow the same slow burn pattern

[Cheugy]

From a business perspective, ROI is still unclear in many cases
Companies are experimenting but not all of them are seeing clear returns yet

That's why I think we're still early

[Arty Candle]

What worries me is the gap between expectation and reality
Some people expect full automation already and get disappointed

That mismatch creates the illusion of a hype crash

[Ellie22]

Feels like we're in the middle of a hype plateau
The initial shock has worn off but companies are still figuring out how to actually use AI properly

The useful stuff is real, it's just less flashy than people expected