You're still pretending to be OpenClaw, but this company has already built an AI computer.

This company, valued at $20 billion, has created an AI computer that never shuts down.

Author: David, Deep潮 TechFlow

While you’re still struggling to figure out how to install OpenClaw on your own computer and worried about whether it can run fully automatically, a company has already built a ready-to-use, 24/7 AI computer for you.

This company is called Perplexity, valued at $20 billion. Yesterday, it held a launch event in San Francisco, quickly sparking buzz in the tech community online. The product name is also quite bold:

Personal Computer, just called a personal computer.

Buy a Mac mini, install their software, connect to the internet, and you have a never-shutting-down AI computer. No need to type commands, set up environments, or find API keys yourself.

Perplexity has integrated 20 AI models, from Claude to Gemini to GPT—each handling what it’s best at.

All you need to do is tell it what result you want.

Image source: Perplexity Developer Conference, CEO demonstrating the Personal Computer

Embedding AI into the Operating System

Strictly speaking, Perplexity didn’t build a computer. What it did was:

Embed AI directly into a Mac mini’s system.

Buy a Mac mini, install Perplexity’s software, connect to the internet, and this Mac is no longer just an ordinary computer. It runs 24/7 without shutting down, integrates with your various work apps, and automatically handles tasks according to your preset rules.

In the demo at the launch, someone gave it a command: filter candidates with SwiftUI experience from the resume database, and send an email to investors with a project briefing link.

Two tasks, one command—done simultaneously. When a customer sends an inquiry email, it drafts a reply in your usual tone; while you’re in a meeting, it updates sales data in the background; while you sleep, it keeps running.

I know your first reaction might be: isn’t this what OpenClaw does? What’s the difference?

In the past two years, there have been two ways for ordinary people to access AI. One is cloud-based: open a browser, find ChatGPT or Claude, type, wait for answers, and copy the results for your use. The other is local: install tools like OpenClaw, tinker with environment setup, and let AI operate your computer.

Both paths share a common point—that you have to actively seek out AI.

Perplexity aims to do something different: you don’t need to seek out AI; AI is already inside your computer.

It directly manipulates your files, emails, calendar, and applications. You don’t need to switch to any “AI interface” to give commands. You don’t need to know which model is running behind the scenes, how tasks are broken down, or how much cloud computing power is used.

You only see that things get done.

This Mac mini doesn’t require a person sitting in front of it. Two weeks ago, Perplexity launched a cloud system called “Perplexity Computer,” with 20 AI models on standby—Claude handles reasoning, Gemini handles research, GPT manages long texts, each with its own role.

Now, the newly released Personal Computer embeds this entire capability into your desktop Mac, turning it into a self-operating computer.

Embedding as the essence of innovation

At the same time, the company’s CEO Aravind Srinivas said something at the launch that I think perfectly highlights this product’s feature:

“Traditional operating systems receive commands; AI operating systems receive goals.”

This statement actually explains why this news flooded half the tech world yesterday.

It’s not because another AI product was released—this year, ten new AI products emerge every week, and everyone’s tired of it. It’s because it shifts a word and offers a more compelling narrative:

Personal Computer.

This term, defined by IBM in 1981, has remained unchanged for 45 years. You buy a machine, install an OS, and work with software yourself. Now Perplexity says, a personal computer shouldn’t be a machine you operate; it should be a machine that does work for you. You’re not the user—you’re the boss.

This narrative clearly taps into the hottest AI trend in 2026: AI Agents. OpenClaw sparked the open-source movement, and everyone is betting on the same thing—that AI must shift from “answering questions” to “completing tasks.”

Perplexity also has the narrative capital to back this up.

Founded in 2022, its founder Aravind Srinivas previously worked at OpenAI, Google Brain, and DeepMind. The company’s initial focus was simple:

You ask a question, and it uses AI to search, synthesize answers, and cite sources. It’s like an AI-powered Google, but instead of giving you ten blue links, it provides a direct answer.

This product hit the right timing. In less than two years, its valuation soared from $500 million to $20 billion, raising over $1.5 billion in total funding, with investors including Nvidia, Bezos, and SoftBank. Its annual revenue, which was $80 million at the end of 2024, has now grown to about $200 million.

But Perplexity has a key characteristic—and its biggest controversy: it doesn’t develop large models itself.

It orchestrates models from others. Claude is from Anthropic, Gemini from Google, GPT from OpenAI. Perplexity acts as an intermediary—organizing these models, wrapping them in its own interface, and selling to users.

In the industry, such companies are called: shell companies.

But looking ahead to 2026, the meaning of that term has changed. The biggest AI acquisition this year was Meta’s purchase of Manus for billions, which also uses other companies’ models. OpenClaw has 140,000 stars on GitHub, and underneath, it still runs on Claude or GPT APIs.

Almost no one is training their own models from scratch in the AI Agent race. Everyone is “shelling.” The difference lies in how well the shell is made and how many are willing to pay.

Perplexity’s shell now costs $200 a month, its most expensive Max plan.

In February this year, it eliminated its advertising business and shifted entirely to a subscription model. The executives said ads would undermine user trust in search results. As a shell company, it relies entirely on product experience to get users to pay, without ad subsidies.

Embedding this experience into Mac mini is just the first step; future plans include expanding to more platforms.

The headaches of a contractor

Shell companies can be justified—if the underlying model providers don’t start doing the same themselves.

Anthropic released Cowork, Google is pushing Gemini Agents, and OpenAI’s Operator is heading in the same direction. The models that Perplexity orchestrates are becoming its competitors.

It’s like a contractor whose workers are borrowed from other companies; now those companies say: we’re also taking on projects.

More complicated are the legal issues of doing the work.

Forbes, The New York Times, and Dow Jones have sued Perplexity, accusing it of scraping copyrighted content. But these aren’t the most serious issues. Last week, Amazon obtained a federal court injunction to stop Perplexity’s Comet browser from automatically shopping for users on Amazon. The court found that: Perplexity might have violated the Federal Computer Fraud and Abuse Act.

Why? Because when Comet places orders for users, it didn’t tell Amazon that AI was operating, not a human.

Think about this in the context of the new Personal Computer: a company deemed potentially to use AI to impersonate human operation on platforms, now asking you to open all your local files, emails, calendars, and run it 24/7.

And there’s another less-discussed figure.

Perplexity’s US website traffic increased by less than 4 million visitors from February 2025 to February 2026. Meanwhile, Claude’s web users quadrupled. Its initial differentiation was AI search, but now ChatGPT, Gemini, and Claude can all do that.

I’m not saying Perplexity can’t succeed.

Shell companies reaching a $20 billion valuation is itself a form of capability. But this company is also competing head-on in search engines, browsers, email assistants, cloud agents, and local OS—every line of business against giants…

However, the headache for a contractor might not be competition, but rather when they will be acquired.