These features will range from accessibility tools like improved speech-to-text and text-to-speech to agentic AI features for tasks like troubleshooting or personal automation. According to Seager, Canonical will be prioritizing model transparency and local inference when adding these AI features. Behind the scenes, Canonical is also encouraging its engineers to use AI more, but Seager noted that “I will not be measuring people at Canonical by how much they use AI, but rather continue to measure them on how well they deliver.”

Seager goes on to add that AI features could potentially help new users navigate the “famously fragmented” Linux desktop ecosystem: “If we’re careful about how we employ LLMs in a system context, they could demystify the capabilities of a modern Linux workstation and bring them to a much wider audience.”