Can AI replace traditional operating systems?

Watching the demo of Gemini 3.0 Pro's perfect replica of the operating system in the browser, I was honestly both shocked and confused - can this thing really replace the Windows and macOS we've been using for more than a decade? I remembered that when I first encountered Linux, it took me a whole day just to configure the desktop environment, but the AI was able to generate a complete interactive interface in a few seconds. This technological leap makes you wonder if we are witnessing the end of traditional operating systems. But then again, although the AI-generated system looks decent, but it always feels like there's something missing, like getting a beautifully crafted toy cell phone that looks realistic but can't make a phone call.

The chasm from interface mimicry to system kernel

I recently deployed a couple of AI-generated OS demos locally and found that they do indeed do basic file management and text editing. But when I tried to connect to a printer, the system was completely overwhelmed. This exposed a key problem: existing AI systems are still essentially web applications running in a browser sandbox, lacking the ability to directly schedule hardware resources. The underlying architecture of process management, memory allocation, and drivers, which are at the core of traditional operating systems, are almost all blank in AI-generated systems. Just like building blocks, AI is good at stacking visible interface elements, but to make the blocks into a house that can be lived in, it still needs the invisible infrastructure of water, electricity and pipelines.

Revolutionizing the development paradigm

It must be recognized, however, that AI is changing the paradigm of operating system development. Last year, an open-source project attempted to automate the fixing of Linux kernel vulnerabilities with GPT-4, successfully resolving three security flaws that had existed for years. This "AI-assisted development" model could become the new normal - human engineers focusing on architectural design, while the repetitive coding, testing, and debugging work is left to the AI. Imagine a future in which all we need to do is to say to the AI "Do a mobile system that can take into account game performance and battery life", it will be able to generate a complete code framework, which is much more efficient than the current system development, which often invests thousands of man-years.

The inevitable trend toward hybrid architectures

I've observed several recently released lightweight systems trying to incorporate AI capabilities. For example, a certain experimental operating system based on Rust integrates an AI inference engine directly into the kernel layer to optimize resource allocation in real time. This kind of "AI native operating system" may be a more realistic direction of evolution - retaining the stable architecture of traditional systems, while injecting the intelligent scheduling capabilities of AI. Just like a car upgraded from a manual gear to an automatic gear, the driver is still in control of the direction, but the tedious operation of shifting gears is handed over to the machine.

At the end of the day, it's probably too early to talk about "replacement". But with AI advancing at a rate of one breakthrough per week, who's to say what the computing experience will look like in five years? For me, at least, it's a mix of anticipation and vigilance - after all, no one wants to open their eyes one morning and find their computer taken over by an incomprehensible AI system.