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Maish Saidel-Keesing for AWS

Posted on • Originally published at blog.technodrone.cloud

The Next Casualty of the GenAI Revolution

AI agents making personal hardware obsolete

I was at an event this morning where someone said something that really resonated with me. "The new programming language is English." And you know what? They're right. Jensen Huang said the same thing. Andrej Karpathy has been saying it since 2023. And Marc Andreessen did a whole podcast about it. But while I was sitting there nodding along, something else clicked in my head. Something bigger. Something that I think we're not talking about enough.

We talk a lot about the 'casualties' of GenAI. Students who are terrified they won't have jobs waiting for them after university. Junior developers who are finding it brutally hard to land a position in today's market. The whole "should I even study Computer Science?" existential crisis. These are real, painful, happening-right-now problems.

But here is where it gets interesting. I think there's another casualty coming. One that's a few years out maybe, but it dawned on me this week, and I can't shake it. And it's a big one.

The personal computer.

Your agent doesn't need a MacBook Pro

Let me explain what I mean. We're seeing more and more systems where you provide a prompt to an AI tool and it goes out and does stuff for you. A very good example of this is all these MCP connections, A2A protocols that hook into every system you use and do things on your behalf. They're becoming your personal assistant. Your digital butler. Your "I'll handle it" person.

And the way we interact with these assistants? Usually through some kind of voice interface or through instant messaging. WhatsApp, Telegram, whatever works for you. And these are the tools which I think, once upon a time, we hoped would be the way we'd interact with our computers and phones. Siri. Alexa. Google Assistant. Gemini. God forbid, Cortana. You speak to an entity and that entity does stuff for you.

But they were never really able to deliver on what they were supposed to. I use my Alexa device to pretty much only turn on a timer for when I am cooking, or ask questions about how much 350 degrees Fahrenheit is in Celsius? Until now.

By hooking up multiple tools to some kind of orchestrator that can do everything for you and actually become your personal assistant, you are now able to control pretty much your entire life by talking into your phone or writing a message. Think about that for a second. Projects like OpenClaw and its growing list of alternatives are doing exactly this. They connect to your email, your calendar, your messaging apps, your code repos, your design tools, sometimes securely, sometimes... let's just say it's a work in progress. But the point is, they're turning a simple chat interface into a full-blown command center for your digital life. And they're running on a server somewhere, not on your laptop.

Do I really need a powerful laptop?

I'll give you a personal example. Last week I needed to put together a presentation for an upcoming talk. In the past, I would have fired up PowerPoint on my laptop, spent an hour fiddling with layouts and formatting, maybe opened Photoshop to tweak an image or two. Instead, I described what I wanted to an AI assistant, and it generated the whole deck for me. Slides, structure, speaker notes, the lot. My laptop was barely breaking a sweat because it wasn't doing the work. The agent was.

What I think is going to happen in the not-too-distant future is, we're not going to need all these powerful laptops and desktops anymore. All you'll need is some kind of personal agent running somewhere. It could be a VPS. Could be for example, in the cloud running on Lightsail. Could be on a Mac Mini humming away in a cupboard at home. And that agent will be able to do everything for you.

And a way to interact with it, and we all have that, it's your phone.

I can ask it to design something in a graphic design tool. Actually, scratch that. I don't even need Photoshop or Figma anymore because I can generate those things directly with an AI prompt. I can ask it to build me a website. I can ask it to write code, test it, deploy it. I can ask it to go into Canva and create a presentation. Or just skip Canva entirely and have it generate the slides from scratch.

You see where this is going?

I don't need a powerful computer at my fingertips anymore. In the background, running all my workloads, executing my commands and requests, my agent doing it for me and that machine is running somewhere else. All I need is a simple, almost dumb, interface into something that can listen to me and relay my intent.

Here's another one. I'm writing this very blog post while sitting in the car. I'm not typing. I'm talking. A voice note, dictated into my phone, transcribed into text, and then polished by an AI into something readable. My phone is doing the absolute bare minimum here. Recording audio and sending it somewhere smarter than itself.

English is the new programming language

And let me tell you, it's a hell of a lot quicker than typing it out by hand. The same way it's a hell of a lot quicker to ask an LLM to generate code for me instead of me actually writing and typing that code character by character. I can speak a lot faster than I can type. I can talk without having to put my fingers to use. And usually, I can do it while doing something else entirely. Multi-tasking for the win.

And this is precisely the point. We don't really need to know programming languages anymore (well, not all of us, not for everything) because we delegate our tasks and intent into spoken language, which is exactly what an LLM is amazing at doing. Taking that natural language and transferring it into something else. A command. A JSON payload. An API call. A full-blown application. Karpathy calls it Software 3.0. I think he's onto something.

The numbers are already moving

And here's the thing. The numbers are already starting to tell the story, even if the reasons are different today.

Gartner is projecting PC shipments to decline 10.4% in 2026. IDC is calling it 11.3%. Goldman Sachs says 10%. Right now, the analysts are blaming memory costs and pricing pressures. Fair enough. But I think there's a deeper, more structural shift happening underneath, and coupled with the rising prices in memory, this could actually be a perfect storm.

If my agent can do the heavy lifting running on a remote machine, why do I need a physical computer? A MacBook Pro costs around USD 1,600 today. A VPS with 4 GB memory, 2 vCPUs, 80 GB SSD and 4 TB transfer will run you about USD 24 /month. Over 4 years that's USD 1,152.
That's USD 450 less than the MacBook. And I know the specs are not at all the same, but that's kind of the whole point. Your agent doesn't need a Retina display or a force-touch trackpad. It needs compute, memory, and an internet connection. Oh, and it runs 24/7 in an enterprise datacenter with faaster connectivity than you could dream of, where no one can spill a cup of coffee on it.

And if you need more proof that the industry sees where this is heading, look no further than Apple. They just launched the MacBook Neo at $599. Apple. The company that has historically refused to compete on price. The company whose cheapest laptop was $1,099 just a year ago. They're now selling what is essentially a glorified Chromebook with a fruit logo on it. Why? Because even Apple can see that for most people, a lightweight, always-connected, thin-client device is going to be enough. You don't need an M4 chip to talk to your agent.

But Maish, what about...?

Look, I'm not saying the PC is going to disappear overnight. Gamers will still need their rigs (for now). Video editors, 3D artists, and data scientists will still need local horsepower (for now). Developers who run local Kubernetes clusters will still need their 64GB RAM machines (don't worry, I am not one of K8s groupie).

But for the vast majority of knowledge workers? The person who writes emails, creates presentations, manages spreadsheets, edits documents, and hops between 47 browser tabs? That person doesn't need a $2,000 laptop. That person needs a screen, a microphone, and a connection to their agent.

Some food for thought. We went from mainframes to personal computers because we wanted computing power at our desks. Then we went from desktops to laptops because we wanted that power to be portable. Then from laptops to smartphones because we wanted it in our pockets. And now? Now we might be going from all of that back to... something that looks a lot like a dumb terminal connected to a really smart backend.

History might not repeat itself. But it sure does rhyme.

The question we should be asking

So while the world is debating one set of consequences from AI, I think we're missing a completely different one.

Are we going to see a significant, sustained decline in personal computer sales? Not because of memory prices or economic cycles, but because we fundamentally won't need them anymore?

I think the answer is yes. Maybe not this year. Maybe not next year. But it's coming. And when it does, it won't be a blip on a quarterly earnings report. It'll be a structural shift in how we think about personal computing.

The PC had a good run. But the dumb terminal is making a comeback. And this time, it's got a really smart backend.

Top comments (12)

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xwero profile image
david duymelinck • Edited

You mention Apple a lot in the post. You know Apple is the company that spends the least on AI of all the big tech companies.

If you leave agents out of the equation, another reason Apple launched the Neo might be because it sees Windows is struggling and they want to attract more customers. The most efficient way to attract customers is by lowering the price.

Sure they add AI as a part of marketing, because it is the hot new thing in tech. Not including it would be dumb, and people at Apple aren't dumb.

Using agents as the only reason people are not going to buy machines with more power than they need is like looking at the world with blinkers on. The dumb terminal is a story tech is selling since they introduced the cloud. That has been going on for a while now, and bigger and better machines were getting build and bought.

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maishsk profile image
Maish Saidel-Keesing AWS

Thanks for the comments.
I mention Apple, because I use a Mac and have for many years, but it would be the same for any PC/Laptop

I don't think it is the only reason, but from my personal experience and what I see from interacting with developers on a regular basis, a good amount of the work is moving to simple chatbot/slack/other interactions.

There will always be a need for personal computers for certain use cases, I thing many of them can be covered, by a personal Agent that runs "somewhere"

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xwero profile image
david duymelinck

what I see from interacting with developers on a regular basis, a good amount of the work is moving to simple chatbot/slack/other interactions.

There will always be a need for personal computers for certain use cases, I thing many of them can be covered, by a personal Agent that runs "somewhere"

These are two different cases. One is a work scenario, and the other is a private scenario.
In both cases sensitive data is the thing why people should not let an agent know everything.
That is why computers have passwords, biometric security, hard disk security, and that are just low security computers.
For all that security there is a penalty and that are higher end specifications.
And with the rise of AI generated malware and attacks that security level is only going to go up.

Another trend that is requiring more powerful hardware is the fattening of the operating systems and applications. Most app developers only consider Electron as a base, that is at least 100 MB just to get started.
Yesterday I read chrome adds an AI image of 4GB , when you have 128 GB of storage that is a big chunk you can't use for your own data.

The thing AI providers don't seem to acknowledge is that running models on personal computers is going to become mainstream. I don't know when, but the models that can do the things users want are getting smaller and less memory heavy as time goes by.
And when that moment happens people are going to want a personal computer and not a dumb terminal.

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beernutz profile image
beernutz

The dumb terminal is a story tech is selling since they introduced the cloud. That has been going on for a while now, and bigger and better machines were getting build and bought.

This is exactly the point. The more we can do locally and privately, the more useful this will be. While it resides solely in the "cloud" its use is limited to things that people don't mind "sharing" with the world.

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pengeszikra profile image
Peter Vivo

I work on a VPS a 1.5 year an my experience is terrible. A slow open time and a low FPS around 16 is completly destroy any computer handling experience. Now I use a 5 year old dell laptop with windows as my work machine that is also not a best, just a wsl install ubuntu 20.4 save my mind to force to work on windows.
On home I have MacBookPro M1 with touchbar, that is the perfect computer for most of the work. Touch Pad is better than any mouse. Lightweight and long last power time, even do not need a desk for that use. So I think MacBookPro is worth their price.

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natevoss profile image
Nate Voss

the casualty framing is sticky but i think the article is mostly right for general office work and mostly wrong for the audience reading it on Dev.to. for engineers, the MacBook does things a VPS structurally can't: running large local datasets without round tripping every byte, debugging at full IDE speed without latency, working through a flight or a connectivity outage. those aren't edge cases, they're a daily fraction of the work. the VPS replaces laptop math also assumes the agent layer survives, but the failure surface there is invisible until it fires (account ban, api deprecation, country firewall, vendor pivot). honestly i think the next casualty is more accurately "low-end personal computers as a category" rather than personal computers full stop.

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ingosteinke profile image
Ingo Steinke, web developer

You just need a tablet or a MacBook Air unless you're a developer running Docker or a local LLM on your machine. Nothing new. Oh, and weren't BASIC, COBOL, and SQL all supposed to make English the new programming language? I must be getting old.

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varsha_ojha_5b45cb023937b profile image
Varsha Ojha

Interesting perspective. I think the biggest shift is that GenAI is not just changing how we build software, but also what parts of the old workflow still deserve human effort.

The risk is assuming every manual step should disappear. Some should. But some steps carry context, judgment, and accountability that automation still does not fully replace.

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mnemehq profile image
Theo Valmis

The casualty framing lands because it's not really about jobs vanishing, it's about which skills compound and which get devalued. The skills that hold value are the ones AI can't replicate from public training data: the why behind a team's specific trade-offs, the historical accidents that shaped the system, the rejected paths nobody documents. That's exactly the layer we're working on at Mneme.

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xiaoming_nian_94953c8c9b8 profile image
Andy Nian

dev.to/valsaven/comment/3292g check it out

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yogesh_vk profile image
Yogesh VK

I think the smartphones have also had their fare share of impact on the PCs. But AI are definitely exaggerating this.

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