Cameron Adams, Canva’s Chief Product Officer and co-founder, sees a fundamental shift in how AI serves the platform’s 225 million users. It’s no longer just about one-click party tricks like background removal. In a recent interview, Adams described a transition from specialized, granular use cases toward AI that collaborates on holistic, end-to-end workflows. “We’re seeing AI be able to help […] move from those niche use cases into more workflow oriented things, which enable, I think, true partnership between humans and technology,” he said. This isn’t just marketing speak. The company has been stitching together its own design models with large language models from partners like OpenAI and Leonardo.Ai to power tools like Magic Design, which generates fully editable layouts from a text prompt.

The real muscle behind this push is Canva’s three-pronged AI strategy: internal R&D, deep collaborations, and a bustling developer ecosystem. The platform now hosts a marketplace of third-party AI apps—from AI presenters to music generators—that plug directly into a user’s project. The goal is to keep people inside Canva for the entire messy journey of creation. You can brainstorm on a whiteboard, refine text in a doc, generate a presentation from that doc, and publish a website, with AI smoothing the transitions between each step without locking you out of manual control for the “critical last mile.”

Internally, the company is eating its own dog food with an “AI Everywhere” program. Adams notes that engineering teams are using tools like Cursor to accelerate coding, while other departments are finding their own tailored solutions, all fueled by company-wide hackathons that prioritize experimentation over rigid workflows. It’s a deliberate push to make AI literacy a core competency across the entire organization, not just a shiny feature set bolted onto the product.

Adams frames the user benefit around three pillars: exploration, outcomes, and speed. The idea is that AI slashes the intimidation factor at the start of a project, letting anyone generate a visual to rally a team around, while drastically compressing the time from concept to polished output. Yet the real test isn’t just speed—it’s whether the AI can maintain a coherent creative thread from a messy brainstorm to a final, client-ready video or website without the output feeling generic. Canva is betting that giving users a generative starting point, combined with granular editing tools, is the formula that actually sticks.