Canonical is ‘ramping up’ AI in Ubuntu this year

AI features are coming to Ubuntu in 2026, though Canonical has made clear that the distro is not becoming an AI product.

In a community post, Jon Seager, VP of engineering at Canonical, says the company is “ramping up its use of AI tools in a focused and principled manner” this year, with a bias toward local inference and open-weight models whose licence terms match Canonical’s values.

AI features in Ubuntu will take one of two forms.

Implicit features improve existing capabilities using on-device AI models, for things like text-to-speech and speech-to-text to bolster accessibility.

Explicit features are new additions powered by AI for things like generative text when writing documents, agents for automated file management, and so on.

The features will rely on local models, for which Canonical has been laying groundwork via its inference snaps, which offer optimised/quantised models including Qwen and DeepSeek.

Licence terms will decide which models end up being used in Ubuntu, more so than just the model weight. Local inference requires moderately capable hardware and smaller models are less capable, but Seager expects the gap to close.

“What today seems like it’s only possible with access to a frontier AI factory will become significantly more accessible in the coming months and years,” he says.

But don’t expect an “AI kill-switch” if you don’t want to use them, as Seager says that would be ‘complex’ to implement ‘honestly’.

Ubuntu will become agentic-friendly

Canonical is also planning to mould Ubuntu in a context-aware OS, integration agentic workflows securely using Snap confinement guardrails.

“My aim is for Ubuntu to expose the primitives needed for agents to operate within existing boundaries, whether that be read-only analysis, tightly scoped permissions for any actions, and full auditability of decisions and outcomes”, Seager says.

“Using AI for its own sake is not a constructive goal for anything but increasing exposure, and it rarely yields good results in production code. Used where it’s well-optimised, and in ways that can be controlled and reviewed, it can be highly effective”.

Internally, Canonical’s engineering teams will incentivised to “understand where AI tools add value” rather than be judged (cough, Mozilla) on how much AI is used and added (and thus swerve the efficiency drop from workslop).

But Seager notes that although AI won’t be taking anyone’s job at the company, an engineer skilled with AI tools ‘certainly could’ – a warning shot that this AI integration is less flirtation and more of of a long-term relationship.

A cautious approach

AI is not universally popular (sorry, Altman) and it’s largely because companies insist on pushing it on users, regardless of any tangible benefit. When ordering a birthday card online this week, before I could type out my own message I was encouraged to let the on-site AI write it instead.

The Clippy-esque “it looks like you’re having fun – do you want me to have fun for you?” AI nags are omnipresent in apps and websites, so the fear that the underlying OS will plough the same route is understandable.

On the plus, Canonical’s approach sounds measured.

The proof will be in its implementation. Chances are we’ll be get a taste of what’s coming in October’s Ubuntu 26.10 ‘Stonking Stingray’ – let’s hope it doesn’t leave a bitter taste.