Canva has long been the exception in the startup world—a company that grew quickly and still turned a profit. But generative AI has thrown a wrench into that formula. The design-software company has now cut its expected revenue growth rate by a third to 20%, after the cost of delivering AI features turned out to be far higher than anticipated.
Why Canva Slashed Its Revenue Growth Forecast
The decision came after Canva's AI features proved far more popular than the company expected. According to The Information, Canva cut its 2026 revenue growth forecast to 20% after unexpectedly heavy AI use drove up costs. The company is now working to make its AI products cheaper before growth can reaccelerate.
Canva CEO and co-founder Melanie Perkins told Fortune that users' demand for new AI features "significantly exceeded" the company's expectations.
"This validated the demand, but also showed us we needed to reduce the cost of completing an AI task to support a broad rollout." — Melanie Perkins, Canva CEO
The Cost Problem Behind Canva's AI Rollout
The core issue is simple: every time a user asks Canva's AI to generate a design, it costs the company money. When millions of users do this at once, those costs add up quickly. Canva's original plan assumed AI usage would be moderate. Instead, demand exploded, and so did the bills.
Perkins explained the company's response over email, saying that rather than broadly rolling out a product before the underlying economics were ready, Canva decided to slow the rollout while it rebuilt the architecture and reduced costs. This is a significant shift for a company that has built its reputation on rapid innovation and steady growth.
What This Means for Canva's Business Model
This situation highlights a growing challenge for software companies in the AI era. Traditional software had a simple economic model: build once, sell many times. The cost of serving each additional customer was tiny. AI changes that equation—every interaction with an AI feature carries a real cost, and those costs scale with usage.
According to Ilya Lagutin's analysis, Canva shipped AI and cut its growth forecast—a clean example of what AI does to SaaS economics. The margin in AI-native software is no longer just a quarterly financial metric; it's a real-time architectural decision made on every API call.
For Canva, the path forward involves making its AI infrastructure more efficient before scaling up again. The company is not abandoning AI—it's pausing to fix the economics first.
Our Take: Canva's Slowdown Is a Warning for the Industry
To put it plainly, Canva's decision is a reality check for the entire tech industry. For years, the playbook was simple: add AI features, attract users, figure out the costs later. Canva just proved that "later" arrives faster than most companies expect.
In our view, Canva's move to slow down is actually the right call. It would have been easy to keep shipping AI features and hope the costs would somehow work out. Instead, the company chose to fix the underlying economics before scaling. That discipline is rare, and it's exactly why Canva has managed to grow profitably while so many others have not.
The lesson for other startups is clear: AI features are not free. They carry real costs that grow with every user. Companies that ignore this will face the same reckoning Canva just had—but without the luxury of a profitable base to fall back on.
For Canva users, the short-term impact is that new AI features may arrive more slowly than expected. But if the company succeeds in cutting costs, the long-term result could be a more sustainable product that doesn't force Canva to choose between growth and profitability.
