Does AI still feel overhyped to anyone else?

Started by Luca76, Feb 22, 2026, 03:25 PM

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Topic: Does AI still feel overhyped to anyone else?   Views(Read 95 times)

Luca76

There are loads of AI tools around now but most feel impressive for five minutes.

The gap between the demo and daily use is usually much bigger than people admit.

Looking for genuine experience rather than what sounds good on paper.

Worth discussing properly
Opinions are my own. Obviously.

Quanta

That lines up with what I have been seeing. Should sort it if the basics are fine.

I trust recommendations from people who have actually used it over a month, not first impressions

Kev5

That is about where I am at. Let me know what you think

Pilgrim

People are always quick to write someone off after one bad performance. Home advantage is still massive and gets written off too easily.

We will know soon enough
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Omega

Not bad at all. Worth doing even if the saving is small.

The free tier is usually enough unless you have a very specific workflow

StringTheory83

There is definitely some overhype, especially when every new tool is presented as if it will replace an entire job overnight. The reality is usually much less dramatic. A tool that saves someone twenty minutes a day is still valuable, even if it does not change civilisation by next Tuesday.

The boring improvements are often the ones that stick around.

FreeKickKing11

A lot of the disappointment comes from comparing polished demos to everyday use. A demo shows the perfect prompt and perfect result, while real life involves messy files, unclear instructions, and weird edge cases.

That does not mean AI is useless. It just means the marketing is running faster than the practical experience.
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HardyBoy13

Some people are too negative about it though. We have seen this pattern with new technology before. Early versions are clumsy, then suddenly people realise they have quietly become part of normal workflows.

Darren92

The biggest change for me has been small tasks rather than huge breakthroughs. Summarising notes, rewriting awkward emails, generating ideas, and helping troubleshoot simple problems are all things that save time.

Not everything needs to be a revolution to be useful :)

SingularityNodeKettle

The hype cycle is absolutely real. Every company wants to say they have an AI strategy, even when that strategy seems to be adding a chatbot to a website that already worked perfectly fine. ;D

Sometimes it feels like putting a smart label on a normal feature.

Storm52

A good example is image generation. The first reaction was that anyone could become a professional artist instantly. Then people realised getting the result you actually want requires skill, judgement, and plenty of editing.

The tool changed the process, not the need for creativity.
git commit -m "fixed everything"

RayOfLight

The free tools are actually where many people get a realistic view. Once you use them for normal tasks rather than watching a five minute showcase, you quickly learn what they are good and bad at.

It is less like having a robot employee and more like having a very fast assistant who sometimes needs checking.
My team is always one signing away

TheGame92

The biggest danger is companies overselling what AI can do. When someone loses trust because a chatbot fails, that is often because expectations were set unrealistically.

Better explanations would help. Saying "this can assist you" is more accurate than claiming it can do everything.

Olivia87

The gap between the announcement and the useful product is where most frustration happens. A company shows an impressive assistant that can do everything, then the public version struggles with basic requests.

That said, improvements are happening quickly. Dismissing it completely might age badly.

Henry

The funniest part is people either think AI is magic or completely useless. Both views miss the middle ground.

It is a tool. A very interesting tool, but still a tool. A hammer did not replace builders and AI will not automatically replace everyone using it.

Amelia82

The current wave does feel similar to the early internet boom. Plenty of companies will disappear, plenty of ideas will fail, but the underlying technology will probably remain important.

The noise around it is just making it harder to see the useful stuff.
Coach says my form's good, my code says otherwise

Tia91

A friend described current AI tools as having a very enthusiastic intern. Great at helping, full of ideas, but you still need to check the work before sending it out. That description feels pretty accurate :D

The value is there, but supervision matters.

Violet_49

The hype is annoying because it creates unrealistic expectations, but it also gets people experimenting. Some people who would never touch new software are now finding simple ways to save time.

Maybe the middle ground is where the interesting stuff happens.
Tap out or train harder, no in between

Kev4

There is a lot of wasted AI spending right now. Some businesses are adding features because they feel they have to, not because customers asked for them.

A simple automated system that solves a real problem is more impressive than a flashy assistant nobody uses.

Abbie46

The best use cases seem to be the ones where humans remain involved. Having AI create a rough draft, suggest options, or organise information is much more realistic than handing over everything completely.

The human part is still the bit that decides whether the result is actually good.

RedBuffer

People forget that most technology starts off awkward. Mobile phones were expensive bricks, websites looked terrible, and early streaming was rough.

The question is not whether every AI feature today is amazing. The question is whether the direction is useful.

Gary90

AI has not lived up to every dramatic prediction, but that does not mean it failed. Plenty of technology changes the world without looking exciting every single day.

Nobody celebrates a spreadsheet update, but businesses rely on those tools constantly.

NeonPhantom32

Would push back slightly on the idea that it is mostly hype. The technology is still developing, but there are already industries where it has changed daily work.

The mistake is expecting every person to have the same experience. A programmer, designer, student, and casual user will all see different benefits.

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