Canva's rapid expansion into artificial intelligence is creating a new challenge for the design software company: maintaining strong growth while controlling the rising cost of AI-powered products.

The company has spent years building a profitable software business with a large global user base. Its next phase is increasingly tied to generative AI, but that technology introduces a different cost structure from traditional software.

Generative AI requires substantial computing power.

Every time users generate an image, video, presentation or other AI-assisted asset, the company may incur additional infrastructure costs. As AI features become more advanced and usage increases, those expenses can grow quickly.

This creates a difficult business equation for software companies.

Traditional subscription software often benefits from strong economies of scale. Once the product has been developed, serving additional users can be relatively inexpensive compared with the original development cost.

Generative AI changes that model.

AI workloads require continuous access to computing infrastructure, which means increased user activity can also increase operating expenses. For a company such as Canva, the challenge is finding the right balance between giving customers powerful new capabilities and protecting margins.

The issue is particularly important because AI has become central to competition across the software industry.

Microsoft, Adobe, Google and numerous smaller technology companies are adding generative AI features to their products. Customers increasingly expect software to provide automated design, writing, editing and content-generation capabilities.

Canva therefore has little choice but to invest.

The company has built its reputation around making professional-quality design accessible to a broad audience. AI can extend that mission by allowing users to create content faster and with fewer technical skills.

But the commercial model must evolve alongside the technology.

If AI features become a major reason customers subscribe, Canva may need to determine which capabilities should be included in existing plans and which should require higher-priced subscriptions.

That decision could influence both user growth and profitability.

Too much free access could increase computing expenses without generating enough additional revenue. Too many restrictions could discourage users from adopting the platform's AI tools.

This is becoming a wider problem across the software industry.

Technology companies are discovering that adding AI to a product is not simply a matter of integrating a new feature. The economics of delivering that feature can be fundamentally different.

For investors, revenue growth therefore needs to be viewed alongside infrastructure costs.

A company may report strong demand for AI-powered products while still facing pressure on margins if customers consume expensive computing resources faster than subscription revenue grows.

Canva's situation illustrates why the next phase of the AI boom may be less about experimentation and more about monetization.

The companies that succeed will need to prove that customers are willing to pay enough for AI capabilities to cover the cost of delivering them.

There is also an opportunity.

If Canva can successfully integrate AI into its broader design ecosystem, it could make its platform more valuable to businesses, marketers, creators and small companies. Greater product engagement could eventually create opportunities for higher-value subscriptions and additional services.

The company therefore has a strong incentive to continue investing.

The challenge is ensuring that growth does not come at the expense of financial discipline.

Canva's experience could become an important case study for the wider software industry.

As more companies adopt generative AI, executives will have to answer a similar question: how much should businesses spend to remain technologically competitive, and how quickly can those investments generate measurable returns?

That makes Canva's AI strategy relevant far beyond the design market.

It reflects a broader transformation in the software business, where artificial intelligence is simultaneously becoming a growth engine and a major new cost.

The companies that learn to manage both sides of that equation could define the next generation of technology leadership.