GoKawiilIn a comprehensive post in the Ubuntu community hub on 27th April, Canonical VP of Engineering Jon Seager confirmed that AI is finally coming to Ubuntu, sketching out a plan that focuses on responsible adoption, local AI inference, among other tools, that lean into open-source tooling to align with company values.
Responding to complaints about the lack of a universal AI “kill switch,” Seager explained that the planned AI capabilities would be delivered as removable Snap packages layered on top of Ubuntu, allowing users to effectively disable them by uninstalling the associated snaps.
Since AI came to be as we now know it, numerous companies, organizations, and systems have incorporated the technology in their workflows or very architecture.
Article continues below
In the last few years, we’ve seen industry giants like Meta, Microsoft, X Corp, and Samsung, to name a few, weaving AI into the fabric of their ecosystems and corporate identities. Then there are countless organizations that have integrated the technology into their everyday operations. Through all these, Ubuntu and its parent company Canonical have remained silent, leaving their users wondering if and when AI would be coming to the platform.
Well, not anymore. Seager outlined in detail how the company plans to incorporate AI not just in Ubuntu but across the broader company. According to the post, and in typical Canonical fashion, the company will be focusing on responsible AI adoption, local inference infrastructure, context-aware operating system features, AI-assisted accessibility tools, and agentic automation workflows, while prioritizing open-weight models and open-source tooling as these align with its values.
Seager’s post covered six key areas: AI adoption within Canonical, responsible and cautious deployment, implicit versus explicit AI features, local AI inference infrastructure, a context-aware AI-assisted operating system, and performance and efficiency considerations.
AI adoption inside Canonical
Seager explained that Canonical has already begun encouraging internal experimentation with AI tools across engineering teams, though not through hard mandates or productivity quotas. Instead of forcing teams onto a single AI stack, the company wants different groups exploring different tools to better understand where they are genuinely useful.
Stay On the Cutting Edge: Get the Tom's Hardware Newsletter Get Tom's Hardware's best news and in-depth reviews, straight to your inbox. Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors
... continue reading