Major AI models push into everyday apps

[VB]

AI assistants and copilots started getting deeply integrated into everyday software, from office tools to browsers. It's no longer a separate thing, it's just baked into everything now, whether users asked for it or not.

Artificial Intelligencewww.theverge.com

Artificial intelligence is more a part of our lives than ever before. While some might call it hype and compare it to NFTs or 3D TVs, generative AI is causing a sea change in nearly every part of the technology industry. OpenAI's ChatGPT is still the best-known AI chatbot around, but with Google pushing Gemini, Microsoft building Copilot, and Apple adding its Intelligence to Siri, AI is probably going to be in the spotlight for a very long time. At The Verge, we're exploring what might be possible with AI - and a lot of the bad stuff AI does, too.

AI assistants and copilots being embedded directly into everyday software marks a pretty significant shift in how people actually interact with computers. It is no longer something you open separately and think about as a distinct tool. Instead, it is becoming a background layer inside the apps people already use for work, browsing, writing, and communication. That subtle change matters more than it might seem at first glance.

One of the biggest differences is that AI is moving from "optional feature" to "default behaviour". Word processors suggest rewrites before you even ask. Email clients can draft replies automatically. Browsers summarise pages without being prompted. This reduces friction in a lot of workflows, but it also changes the expectation of what software is supposed to do in the first place.

There is a clear productivity argument in favour of this direction. For many users, especially in office environments, these copilots can save time on repetitive tasks, formatting, summarising, and rewriting. Things that used to take several minutes of manual effort can now be handled in seconds. That adds up quickly across a full working day, which is why adoption has been so aggressive.

At the same time, the "baked in everywhere" approach raises questions about control and choice. When AI features are integrated by default, users are not always actively opting in to them. They are just there. That can be convenient, but it also blurs the line between tool and assistant in a way that not everyone is comfortable with, especially in professional or sensitive contexts.

Another important shift is how this affects user skill development. If AI is constantly suggesting improvements, completing sentences, or generating summaries, users may gradually rely less on doing those tasks themselves. That could be seen as efficiency gain or skill atrophy depending on perspective. The impact will likely vary depending on how heavily people lean on the tools.

There is also the question of consistency across platforms. Once AI is embedded into browsers, operating systems, and productivity suites, different companies are effectively building parallel versions of "assisted computing". Some will be more aggressive, some more conservative, and that could lead to a fragmented experience where the same task feels very different depending on the software stack being used.

From a development standpoint, this also changes how applications are built. Instead of designing every feature manually, developers are increasingly relying on AI layers to handle general tasks like text generation, summarisation, or search augmentation. That shifts focus from building features to orchestrating systems, which is a fairly major architectural change over time.

Overall, this feels less like a single product trend and more like a structural change in software design. AI is not being added on top anymore, it is being woven into the core experience. Whether that ultimately feels helpful or intrusive will probably depend on how transparent and controllable these systems remain as they become more widespread.

[codeberg]

Most people didn't ask for this, it's just being forced into workflows

[QuantumDay]

Once it's embedded everywhere, opting out becomes almost impossible

[Totally]

Convenience is winning over control

[QuantumKnight]

Britain already doesn't work. Now they can blame ChatGpt broke somecode because it didnt know PHP

[QuantumDay]

Not sure I am fully with you on that one. Good thread this.

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

[QuantumKnight]

Most people didn't ask for this, it's just being forced into workflows.

I would wait for a bit more before concluding that. I find the best analysis usually comes a week or two after the initial coverage settles down.

Worth watching closely.

Most people use AI as a search engine replacement and miss what it is actually good at.

[Quanta]

Most people didn't ask for this, it's just being forced into workflows.

I would wait for a bit more before concluding that. I

Yes, and I would add that it is even more true if your hardware is older. The problem with most advice online is it assumes a clean install which most machines are not.

Let us know how it goes

[VB]

That was not my experience at all. Let me know what you think.

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

[VB]

Yeah can't really argue with that. The games that get talked about the most are rarely the ones I end up spending the most time on.

Can't really go wrong with it

[VidiTechnica]

That is exactly it. Appreciate it.

[codeberg]

Most people didn't ask for this, it's just being forced into workflows.

I would wait for a bit more before concluding

That is my read on it too. I always start with the free and non-destructive fixes before considering anything drastic.

Worth trying before anything more drastic

[One-One-Five]

That is pretty much it. Good thread this.

[TheRizz]

Good point. I have been wondering the same thing.

Cheers

[Quanta]

That was not my experience at all. Let me know what you think. The free tier is usually enough unless you have a very specific workflow.

Worth checking that assumption before committing to it. Should sort it if the basics are fine

[Grover26]

Exactly what I was thinking. The result will answer the question better than any of us can

[Kieran88]

Yeah can't really argue with that. The games that get talked about the most are rarely the ones I end up spending the most time on. Can't re

Been reading the same thing from a few different angles. The speed of the news cycle means most things get forgotten before they are properly resolved.

I will keep following it

[DQ Eric]

That is exactly it. Appreciate it.

Worth checking the small print before committing. The problem with most money saving advice is it assumes you have the time to do it all.

Good to know about.

Most people use AI as a search engine replacement and miss what it is actually good at

[codeberg]

Completely agree, and it is frustrating that this is not more widely known. Usually the issue is software and not hardware even when it feels like hardware.

Give it a go and report back

[Quanta]

That is the practical answer rather than the theoretical one. 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

[Fan22]

There is something right about that. I find these conversations more useful than reading reviews

[Midnight Wolf]

Yeah can't really argue with that. The games that get talked about the most are rarely the ones I end up spending the most time on. C

That is how I do it and it works. Good to know about

[JohnyBlue]

Agree completely, preparation is everything. Good luck with it.

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

[Inland Sienna]

Not gonna lie, I had not thought of it that way. Might have to look into that more

[Quanta]

Basically my experience exactly. Worked for me at least.

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

[Ria99]

That works in theory but the prep is more involved than it sounds. Rushing the drying or setting time is where most jobs go wrong.

Let us know how it turns out.

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

[Quanta]

That is my read on it too. The fastest fix is often just checking what is running in the background and killing half of it.

Happy to help further if you get stuck.

[Cass]

Honestly the biggest change for me is search
Half the time I ask an AI first and only hit a search engine if I want sources or need to verify something

[HeartbreakKidStinger64]

It is refreshing to hear such a grounded, practical take on technology that often gets buried in hype. Your observation about the 'suspicious intern' is spot-on-it is a tool that requires constant supervision, and your fatigue with 'AI bloat' is shared by many

[Kai_37]

If this keeps going we'll eventually have AI assistants talking to other AI assistants on our behalf
Meanwhile the humans are just sitting there hoping they interpreted the request correctly

[ScarletWrench]

I wonder how many subscriptions people are going to tolerate
Music, video, cloud storage, gaming and now multiple AI plans all fighting for the same monthly budget

[GlassKnight89]

I still prefer doing certain things manually
Maybe I'm getting old, but sometimes opening an app and just using the normal menus is faster than explaining my goal to an AI

[Kieron78]

My concern is that all these assistants are being bolted onto software that was already bloated
I don't need my calculator, notes app and toaster all trying to summarize my day

[NeutrinoX54]

I've been using them for coding and they're great right up until they become extremely confident about something completely wrong
The confidence level is still the funniest bug

[Matticus]

I feel like we're heading toward a point where every app has an AI button whether anyone asked for it or not
Some of them are genuinely useful, but a lot still feel like features looking for a problem

[PhotonBurst76]

I think the competition is good
A couple of years ago it felt like one company would dominate everything, now there are enough serious players that nobody can get too comfortable

[Neon Grace]

The funny part is how quickly expectations changed
A chatbot writing a paragraph felt amazing not long ago, now people complain if it can't analyze a spreadsheet, generate images and book a flight

[DarkSideRichard47]

My workplace is pushing AI into every workflow and the reactions are all over the place
One group thinks it's the future, another group treats it like a suspicious intern that needs constant supervision

[NightHarbour91]

The real winner might end up being whichever assistant disappears into the background best
Most people don't care which model is running as long as the result is fast and useful

[MondayMoan51]

I think the real shift is not just integration but default presence. When the assistant is in your email, docs, IDE, and phone, it becomes the path of least resistance. That changes behavior more than any single feature ever did.

But I worry about quiet dependency. If every draft, plan, and summary is co-authored, do we lose the friction that helps us think clearly in the first place?

[Solid Gary]

It is convenient, sure, but the quality still swings wildly. One day it nails a spreadsheet model, the next it hallucinates a column and acts confident about it. Embedding that into everyday apps amplifies both the good and the bad.

I would like to see stronger guardrails and clearer uncertainty signals before it becomes the default everywhere.

[Its_Jackson62]

Counterpoint: we said the same about spellcheck and search. Both changed how we write and research, and we adapted. Copilots feel like the next layer, not a totally different beast.

Also, for people who are not experts, having a steady assistant lowers the barrier to getting things done. That matters more than purity of process.

[HeartbreakKidCurtis18]

The interesting part to me is how UI is collapsing. Instead of menus and tabs, you just ask. That is powerful but also hides capability behind language.

If you do not know what to ask, you might never discover features that used to be visible.

[Cheeky Shaun]

As a developer, the IDE integrations are a mixed bag. Great for boilerplate, refactors, and quick tests. Less great when it confidently suggests patterns that look right but introduce subtle bugs.

The skill is shifting from writing code to reviewing and steering, which is fine, but it is a different mental mode.

[Shane95]

I am already seeing this in customer support tools. Agents rely on suggested replies and summaries, which speeds things up, but sometimes flattens tone into something generic.

When every response sounds the same, customers notice. Personality becomes a product decision again.

[BigDog_Fan]

Hot take: the biggest winners will be boring apps. Calendars, note apps, expense tools. If the assistant can quietly automate 20 small tasks a day, that compounds.

Nobody will brag about it, but everyone will feel the time savings.

[Frost Jay]

Privacy is the elephant in the room. Deep integration means more context flowing through the model. Emails, documents, messages, everything.

Vendors say it is safe and segmented, but users will need clearer controls and visibility into what is actually being used.

[QueueDay]

I like the accessibility angle. For people with dyslexia or language barriers, having an assistant embedded in writing tools is huge. It is not just convenience, it is participation.

That feels like a net positive we should not lose in the criticism.

[Sarah87]

There is also a creative upside. Brainstorming with a copilot inside a design or writing app can kick you out of a rut quickly. It is like having a mildly caffeinated collaborator on call.

Just do not let it finish everything for you, or your work starts to sound like everyone else.

[HiggsField29]

Funny how we are reinventing the command line through chat. Type a sentence, get an action. The difference is the system guesses your intent instead of requiring exact syntax.

It is powerful, but sometimes I miss the predictability of commands that do exactly one thing and nothing else.

[202694]

Feels like the line between app and assistant is disappearing fast. Instead of opening tools, you just describe what you want and something figures it out behind the scenes.

At the same time, that guessing part can be a bit spooky. When it nails it, great. When it misfires, you spend longer correcting it than just doing the task yourself

[Chris81]

The command line comparison is spot on. We used to memorize exact syntax, now we just kind of vibe our way through requests.

But there is a tradeoff. Precision is harder. Saying a slightly different sentence can give a totally different result, which makes it feel less predictable than old school commands.

[Inland Aidan]

Part of me loves it because it lowers the barrier for non technical people. Stuff that used to require tutorials now takes a sentence.

Another part worries we are losing understanding of how things actually work. Feels a bit like using a calculator before learning basic math.

[Leopard85]

It is funny that we are calling it new when it is basically natural language interfaces from decades ago, just way better.

The real shift is reliability. Back then it was gimmicky, now it actually does useful work most of the time.

[TechPriest]

Apple Intelligence brings powerful AI capabilities into everyday experienceswww.apple.com

Even apple is finally on it

[BigDogShane10]

Not sure I buy the idea that this replaces traditional UI completely. Sliders, buttons, and visual tools are still faster for certain tasks.

Typing or talking everything out can get tiring. Sometimes you just want to click and be done

[NovaPrime68]

The integration into everyday apps is the real game changer, not the models themselves. When it is built into tools people already use, adoption just happens.

Standalone AI apps felt optional. This feels more like it is becoming part of the default workflow.

[Ella10]

There is also a subtle shift in how people think about software. Instead of learning features, they expect the software to adapt to them.

That expectation might be hard for companies to meet consistently. Once users get used to it, anything less feels broken.

[Connor82]

Kind of wild how quickly this went from novelty to normal. A year ago it felt like a toy, now it is baked into email, docs, even file explorers.

Makes you wonder what becomes invisible next. Probably more than we expect

[Mike80]

The guessing intent part is both the magic and the problem. Humans are vague, and machines are still not great at ambiguity.

So you end up refining prompts like you used to refine search queries, just in a more conversational way.

[Dark Hawk]

There is a productivity boost, but also a distraction risk. It is easy to start over relying on it for small things that you could do instantly yourself.

Feels similar to autocomplete in code. Helpful, but can make you a bit lazy if you lean on it too much

[ShawnMichaels]

The command line analogy makes me laugh because we spent decades trying to get away from it.

Now we are back, just with better UX and a layer of interpretation on top. History really does loop.

[Protocol]

One underrated benefit is accessibility. People who struggle with complex interfaces can now just describe what they need.

That alone makes this shift worth it, even if it is not perfect yet.

[Fox]

Still skeptical about how well this works across edge cases. Demos always show the smooth path, but real workflows are messy.

Curious how these systems handle weird, specific tasks without falling apart.

[Quanta]

There is something satisfying about describing an outcome instead of planning every step.

It feels more like delegating to a person than operating a machine, which is a pretty big psychological shift.

[alwaysRock40]

The risk is overtrust. People might assume the system understood them perfectly when it actually made assumptions.

That gap between intent and execution can cause subtle mistakes that are hard to catch.

[Kieran_44]

Feels like we are slowly training ourselves to communicate more clearly just to get better results from tools.

Kind of ironic that machines might end up improving human communication habits

[Karen88]

I do wonder how this affects learning curves. If everything is assisted, do new users ever build deep skills?

Or do we end up with more surface level competence across the board?

[Phil]

From a design perspective, this is fascinating. UI designers now have to think about conversations, not just layouts.

That is a completely different skill set, and not everyone will adapt easily.

[Dom_24]

There is also a performance angle. These features can feel slow compared to traditional tools.

Waiting a few seconds for a response breaks flow in a way instant actions never did.

[Dave_37]

On the flip side, when it works well, it compresses multi step processes into one request.

That kind of efficiency is hard to ignore, especially for repetitive tasks

[DiamondDallas86]

Security and privacy feel like the elephant in the room. These assistants need a lot of context to be useful.

Not everyone is going to be comfortable with that level of access.

[Leo]

The whole guessing intent thing reminds me of autocorrect disasters.

Except now the consequences can be bigger than a funny typo

[GhostRider89]

It might push software toward more standardized patterns. If assistants need to interact with everything, apps may need to become more predictable.

That could be good for consistency, but maybe bad for creativity.

[AlwaysReadyAaron76]

There is also a cultural shift happening. Talking to software is becoming normal, even expected.

A few years ago that still felt a bit awkward. Now it barely registers.

[CollapseState87]

Part of me misses the clarity of exact commands. You knew what would happen every time.

This new approach trades that certainty for flexibility, which is powerful but sometimes frustrating.

[Ann13]

Overall it feels like we are in an in between phase. Not fully conversational, not fully traditional.

Give it a few years and this might either feel completely natural or we will swing back to more structured controls. Hard to tell

[Ederson]

Funny how AI went from being a separate app you opened on purpose to quietly living inside everything you already use. One day you're writing a document, the next your text editor is trying to finish your sentence, summarize your meeting, and suggest lunch.

Some of it is genuinely useful, some of it feels like having an overly eager coworker leaning over your shoulder every five minutes. Sometimes you just want to type a sentence without hearing, "Did you mean...?"

The trick is making these features feel optional instead of unavoidable. Good assistants disappear until you need them. Bad ones become the software equivalent of a pop-up ad.

[Ronan_34]

Part of the appeal of older software was that it behaved like a vending machine. Press button A, get result B. Every single time.

Modern AI feels more like asking a helpful stranger for directions. Most of the time they're right. Occasionally they send you three streets over because they misunderstood the question. That's great for brainstorming, not so great when you're editing something important.

Guess the future is learning when to trust the autocomplete and when to tell it, "Thanks, I've got this."

[IdleWarden]

Everyone keeps saying AI will replace apps, but it looks more like apps are swallowing AI instead. Five years from now people probably won't even mention it. It'll be as invisible as spellcheck.

That also makes it harder to notice when it's wrong. Nobody questions a calculator because the rules are predictable. AI sounds confident enough that people stop double-checking, which is where things get interesting.

Still, for repetitive work it's hard to complain. If it saves me from writing the same email for the hundredth time, it has earned its keep

[Slow Hollow]

There's a weird split happening. Casual users seem thrilled because everything feels easier, while power users keep reaching for settings to disable half the new features.

Maybe that's inevitable. The more flexible software becomes, the less predictable it feels. Flexibility is fantastic until the tool decides your workflow needed "improving" without asking first.

At some point there will probably be a giant button labeled "Leave me alone." That might end up being the most popular AI feature of all.

[BrokenDave72]

Feels a bit like browsers all over again. At first they just displayed pages. Then they became email clients, media players, password managers, PDF viewers, shopping assistants, and somehow a place where twenty tabs permanently live.

AI is taking the same path. Every company wants to bolt it onto their product because nobody wants to be the one that looks old-fashioned. Whether the feature is actually useful seems to be a secondary concern.

Not against the technology at all, but a little restraint would be refreshing. Sometimes a screwdriver doesn't need a chatbot attached to it.

[Emma92]

The split between casual users and power users is probably the most interesting part of this whole shift. For many people, AI showing up inside apps feels like getting a helpful assistant they never had before. They can write emails, organise notes, or find information without needing to learn complicated tools.

At the same time, experienced users often want control because they already have their own workflows. Having an AI button appear everywhere can feel less like an upgrade and more like someone rearranged your kitchen while you were away

The best approach is probably giving people the choice. Make AI useful by default, but make it easy to adjust or turn off when someone prefers the traditional way.

[QuantumToken65]

One thing that gets overlooked is how much small improvements can add up. A person might not care about AI writing a whole report, but saving five minutes here and there by summarising documents or finding information faster can make a big difference.

The concern about quality is fair though. People still need to check what these systems produce because confidence and accuracy are not the same thing. A very polite mistake is still a mistake

Hopefully users learn where AI helps and where human judgement is still needed.

[Terry]

The funny thing is that we went from people saying computers would make everything easier to now needing AI assistants to help manage all the extra options computers gave us

There is definitely value in these tools, especially for repetitive tasks. Nobody is going to miss spending hours formatting a document if software can handle the boring parts.

The trick is making sure AI remains a tool instead of becoming another layer of complexity. If users need a 40-page guide to understand their AI settings, something has gone wrong.

[Freddy95]

Some of the criticism reminds me of the early days of smartphones. Plenty of people thought apps were unnecessary at first, then suddenly everyone wondered how they lived without them.

AI might follow a similar path, but there is one important difference: trust. People were comfortable with apps because they mostly did what they said. AI can produce answers that sound correct even when they are not.

Building confidence will probably be the biggest challenge. Convenience gets people interested, but reliability is what makes them stay.

[Brett42]

The privacy side of this deserves more attention. Having AI built into everyday software means these systems could potentially understand a lot about how people work, communicate, and organise their lives.

That does not automatically make it bad, but users should have clear choices about what data is used and where processing happens. Nobody wants their helpful assistant to become a mysterious roommate who knows too much

Transparency will probably matter just as much as the technology itself.

[TinyGriffin]

Power users disabling AI features reminds me of people turning off autocorrect after it changes one important word and creates a completely different message

The funny part is that the same feature can be amazing for one person and annoying for another. Someone writing their first business email might love suggestions, while someone writing professionally may find them distracting.

Personalisation is going to be key. There should not be one AI experience forced on everyone.

[John_62]

The move into everyday apps makes sense because most people are not going to open a separate AI website every time they need help. Technology usually wins when it becomes part of existing habits.

A lot of people never think about the search engine inside their browser or the algorithms recommending videos. AI will probably become similar if companies handle the transition well.

The challenge is avoiding the temptation to add AI just for marketing. A useful feature should solve a real problem, not just have a shiny label attached.

[RobVanDam]

Seeing AI integrated into office software is exciting, but I can understand why some workers are cautious. A tool that saves time can be great, but a tool that changes jobs or workflows without explanation can create a lot of anxiety.

Good training will matter. Giving someone a new AI assistant without showing them how to use it is like handing someone a powerful camera and expecting them to become a photographer overnight.

The people who benefit most will probably be those who learn how to work alongside these systems rather than simply trusting them blindly.

[Cass81]

There is also a generational difference here. Some people jump straight into new technology because experimenting is part of the fun, while others prefer to wait until the rough edges are gone.

Neither approach is wrong. Early adopters find new possibilities, and cautious users often notice problems that enthusiasts overlook.

A healthy technology ecosystem needs both groups. Otherwise we either move too slowly or rush ahead without thinking about the consequences.

[BetaElliot13]

The browser example is a good one because browsing is already about finding, sorting, and understanding information. Adding AI there feels like a natural extension rather than a completely new category.

Still, there is a danger of making people stop thinking critically. If an AI summary appears instantly, some users may never look at the original source.

Convenience is great, but curiosity should not become a lost skill. The best tools should help people explore more, not encourage them to stop asking questions.

[Eagle92]

After all the excitement around AI, the most useful features may end up being the boring ones. Nobody might remember a flashy demo from a year ago, but they will remember the tool that saved them from doing a repetitive task every week.

Technology tends to become invisible when it works well. Electricity, GPS, and search engines are examples of things we rarely think about anymore because they became part of normal life.

AI could end up the same way. The winners will likely be the tools that quietly help people rather than constantly reminding them they exist

[Coastal Otter]

There is still a downside to putting assistants everywhere, though. Sometimes a normal menu or search box is faster than having an AI interpret what you want, especially for simple jobs. Not every button needs a chatbot attached to it. Good interface design should make the assistant available when it helps without making users feel like they have to negotiate with a robot to perform a basic setting change.

[PromptEcho]

The funniest part may be how quickly the definition of an AI assistant will disappear into ordinary software. Eventually someone will say, "Just highlight the paragraph and have it tidy that up," without even considering that an AI model is doing the work underneath. That would be a pretty significant change from today's novelty factor. Hopefully the industry keeps focusing on reliability and useful little improvements rather than adding fireworks to every feature announcement.

[Sequence87]

There is also a learning curve that developers should not underestimate. Giving someone ten new AI buttons does not necessarily make their workflow better; showing them one genuinely useful shortcut probably does. A nice approach would be to let people discover advanced features gradually, with examples based on real tasks rather than a giant list of impressive-sounding capabilities. That feels much more encouraging for someone who is curious but not particularly technical.

[KeyboardWarrior47]

The boring features point is spot on. A tool that quietly turns a messy meeting into a decent set of notes is probably going to earn more goodwill than another AI that writes a sonnet about your toaster. The real test is whether these features save enough small amounts of time that people stop thinking about the AI itself and just get on with their work.

[QuantumLeap]

Integration is where things get interesting for me, because context can make an assistant much more useful. If a writing tool already knows which document you are editing, or a calendar assistant can see the meeting details you are working from, there is less copying and pasting between apps. That sounds mundane, but removing five tiny steps from a task can add up surprisingly quickly over a week.

[Rooney93]

The privacy side deserves just as much attention as the convenience side. Once an assistant can work across documents, messages, browsing history, and calendars, the useful context can also become very sensitive context. Clear controls over what the system can access, what gets stored, and when information is sent to a remote service seem just as important as making the model cleverer. A friendly explanation at the right moment would go a long way here.

[Arty Candle]

Another interesting shift is that AI could become less visible as it improves. Spellcheck is a good example: most people do not think about the underlying technology when a typo gets fixed automatically. The same thing could happen with summarising, search, scheduling, accessibility tools, and repetitive office work. If that happens, the biggest success story may be that people barely notice the AI at all.