Canva just rewired itself for AI. The company rolled out Canva AI 2.0 at SoFi Stadium in Los Angeles this week. Its founders say the launch is the company’s biggest yet.
A bold technical rebuild
Canva has spent more than two years overhauling the software that underpins its design platform. Cliff Obrecht, co-founder of Canva, told staff and partners the engineering team has been rebuilding the product from the ground up so artificial-intelligence agents can trigger features directly, without a user clicking through menus. The internal slogan for the work was simple: "More AI, less UI."
The move isn't cosmetic. It meant rewiring workflows, integrating models across templates, and reshaping how user inputs produce finished designs. Engineers had to make every element of the product accessible to AI agents — from layout adjustments to colour choices to export options. That’s a different technical challenge than adding a new tool to the interface; it’s a change in how the product operates at its core.
Obrecht described the preparation ahead of the public launch as a long period of heavy work. "We’ve been working hard before we get to go to the beach and rip our shirt off," he said, framing the effort as months of unseen engineering.
From a prompt box idea to a global platform
Melanie Perkins first sketched the idea more than a decade ago.
In 2011, at age 24, she built a prototype called Canvas Chef — essentially a prompt box that generated designs based on a user’s description. Perkins pitched that idea to more than 100 investors at the time and was turned down repeatedly.
What began as a simple prototype has become a company with scale few Australian tech firms have matched. Canva now reports about 265 million monthly users and roughly US$4 billion in annual revenue, about US$5.6 billion when converted to Australian dollars.
The business sits on a market valuation of around US$100 billion.
Perkins and Obrecht still lead the company they started, and both are among Australia’s wealthiest private tech founders. Perkins said the team believes Canva AI 2.0 will be the most important product launch in the company’s history.
Market timing and investor worries
The rollout comes as investor sentiment toward software companies has shifted sharply. Rory O’Driscoll, a veteran software investor at Scale Venture Partners, warned that the market is going through what some call a "SaaSpocalypse" — a period in which many software valuations are being rewritten.
"The market will throw out all the babies with the bathwater before picking back up the babies it wants to keep," O’Driscoll said. He added that founder-led, profitable companies with strong customer loyalty can survive this repricing — but only if they execute.
That caution matters for Canva because the company’s headline valuation and rapid expansion set high expectations. Investors will be watching whether the AI overhaul translates into faster revenue growth, higher engagement from existing users, or new enterprise deals. The pressure is heightened because the new architecture isn't a single feature but the foundation for future product behaviour — and such changes can take time to show financial returns.
How AI changes Canva’s product strategy
Where previous feature launches often added buttons or templates, the AI-first approach focuses on user intent. Instead of forcing users to learn design steps, Canva aims to let people describe what they want and get a finished product. That’s the original promise behind Canvas Chef, scaled up.
The company also wants AI to automate repetitive tasks for professional teams. Designers in agencies and marketing departments often spend hours on variations and approvals. Canva’s new platform, the company says, will let teams ask for multiple options, tweak a theme, and generate export-ready assets with less manual work.
That has obvious appeal. It also creates technical and commercial challenges. AI-driven workflows require new guardrails around brand safety, permissions, and asset management. They require tighter integration with enterprise systems like digital-asset-management tools and content calendars. And they demand ongoing compute capacity — a running cost that scales with usage.
Financial and operational implications
Canva’s roughly US$4 billion of annual revenue gives it runway to invest aggressively. The company is privately held and, so far, founder-led and profitable, according to outside observers who track the sector. That combination — strong revenue and control over the board — makes it possible to pursue a longer-term technical rebuild than a company under pressure to hit quarterly public targets.
Still, an AI-first product drives different cost dynamics. Models need compute power. More personalised outputs mean more storage and more frequent updates. And enterprises will demand reliability and security, which can increase spending on compliance and engineering. Those costs can be offset if AI features raise willingness to pay or expand the addressable market. The question is whether the boost in margins arrives quickly enough to satisfy investors who value scale and earnings potential.
Execution risks and competitive pressure
Canva faces competitors ranging from legacy design software to new AI-native startups. Larger incumbents have deep pockets and established enterprise sales forces. Startups can move fast and tout cutting-edge models. Canva’s edge, executives argue, is distribution. With hundreds of millions of users and an existing suite of design assets, the company can ship AI features to a massive audience quickly.
Yet distribution doesn’t solve every problem. Getting enterprise customers to commit larger contracts often depends on integrations and service-level commitments. And convincing creative teams to trust AI-generated work requires consistent quality and predictable control over brand elements. Those are non-trivial hurdles.
Inside the company, Obrecht has been preparing the organisation for that test. Staff have reworked the product so agents can perform tasks autonomously. The aim is to make AI a reliable workhorse, not a novelty.
What investors will look for next
Investors will focus on a few clear signals. Growth in paid users and average revenue per user will be watched closely. So will enterprise adoption and the share of revenue tied to AI-driven features. Finally, margins — and how they evolve as AI usage scales — will be crucial.
For a private firm valued near US$100 billion, those metrics are the clearest way to justify the company’s lofty price. They're also the concrete measures that turn a technical achievement into a financial win.
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Perkins said: "We believe this will be the most significant moment in Canva’s history."
This article was created with AI assistance.
