Canva's slowdown a warning shot in AI's creative reckoning?

Canva spent more than a decade building a global technology empire by making design easier for everyone. Now artificial intelligence is making many of those same tasks easier still.

And what comes next could be considerably more disruptive.

As the Australian software giant confronts its first slowdown in growth in a decade, the company this week announced a sweeping restructure affecting 22% of its workforce, or some 1,271 employees, as it combines operations, reduces management layers and rethinks how its teams work.

“New technology is transforming what people can create, how they create it, and what they expect from the products they use,” Canva co-founder and CEO Melanie Perkins said in a statement to staff.

“After exploring a wide range of alternatives, I've come to the difficult conclusion that small changes won't be enough.”

But Canva is hardly alone.

Across the technology sector, Australian-founded giants including WiseTech Global and Atlassian, along with Afterpay owner Block, have announced sweeping workforce reductions as they embrace AI, streamline operations and rethink how software is developed and delivered.

The question is whether AI is simply making these businesses more efficient, or beginning to challenge the economics of the software industry itself.

Canva is a particularly interesting case.

Its success was built on democratising design, giving businesses, marketers and consumers access to creative tools that once required specialist software, specialist skills and deep pockets.

AI is taking that proposition further. Images, presentations, advertising creative and marketing collateral can increasingly be produced from simple text instructions, often without the need for traditional design software.

For a company whose appeal has been built around making creative production accessible, that presents both an opportunity and a potentially formidable competitive threat.

Vinne Schifferstein Vidal, co-founder of AI production specialist MC&V, believes the threat is very real.

“Canva built its business on democratising design, but generative AI is now potentially removing the need for a design platform altogether,” she said.

“Why use Canva if you can generate what you need directly through other tools?”

AI's uncomfortable truth

It's an uncomfortable question for one of Australia's biggest technology success stories.

Canva has invested heavily in developing its own AI capabilities, but it now faces competition not only from established software companies such as Adobe and Microsoft, but from a growing number of AI-native platforms capable of producing sophisticated creative work in seconds.

The challenge is no longer simply making design easier. It's demonstrating why customers still need a dedicated creative platform when AI can perform many of the individual tasks that once required one.

Schifferstein Vidal said Canva still has advantages in workflow, collaboration and brand management, but questioned whether those capabilities would remain compelling enough to retain customers.

AI could ultimately make Canva more valuable, she argued, but only if it offers something beyond the capabilities available to everyone.

Canva has not directly attributed its growth slowdown to AI competition. Its restructuring also addresses organisational complexity accumulated during years of rapid expansion.

WiseTech too has announced plans to eliminate thousands of roles as part of an AI-led transformation, while Atlassian has also reduced its workforce amid a shift towards AI and enterprise software.

Disrupting the disruptors

There is a deeper issue emerging across the technology industry. Some of the companies now confronting AI disruption were themselves responsible for transforming established industries, building enormous businesses by making previously expensive or complicated services accessible to millions.

Canva democratised design. Shutterstock and Getty Images made professional photography and imagery accessible through digital libraries. Website builders such as Wix and Squarespace made it possible to create an online presence without hiring a developer.

Now a new generation of AI tools is challenging the need for some of those intermediaries.

Getty Images filed for Chapter 11 bankruptcy protection in the US on 21 October, seeking to restructure its finances and reduce debt through a prepackaged reorganisation backed by major financial stakeholders.

Its financial difficulties cannot simply be attributed to AI. The restructuring addresses debt and other liabilities, while Getty continues operating. But AI-generated imagery is adding competitive pressure to the traditional stock photography model.

Website builders face a different version of the same challenge.

Platforms such as Lovable and Replit allow users to generate websites and applications through natural-language prompts, potentially reducing the need for the drag-and-drop tools that transformed website creation over the past two decades.

The pattern is striking. Businesses that once removed barriers to specialist services now face competitors promising to remove another layer of complexity altogether.

And the same forces are beginning to reshape the creative industries.

Creative work is changing

Creative software has become an essential part of marketing operations, with businesses paying recurring subscriptions for design, production, collaboration and content management tools.

AI raises the possibility that companies will need fewer licences, fewer specialist platforms and potentially fewer people to produce the same volume of work.

That could put pressure on traditional software subscription models, particularly those charging customers according to the number of employees using a product.

But the implications extend well beyond software vendors.

Schifferstein Vidal argues that much of the creative industry's commercial model has historically relied on charging clients for execution, while giving away some of its most valuable intellectual work during the pitching process.

Strategy, creative concepts and director treatments are frequently developed without payment, on the assumption that production work will eventually cover those costs.

As AI makes execution faster and cheaper, that equation becomes increasingly difficult to sustain.

“The industry probably needs to fundamentally rethink what it charges for, and start putting more commercial value on the thinking,” she said.

It's a particularly uncomfortable prospect for agencies whose business models have been built around production resources, specialist skills and the hours required to deliver creative work.

If technology can substantially reduce the time and labour involved in execution, agencies may find themselves under pressure to justify their fees in entirely different ways.

And the next wave of AI could accelerate that pressure.

“What's coming next is arguably more disruptive: a shift from AI assisting individual production tasks to autonomous systems handling complete workflows,” Schifferstein Vidal said.

“That will challenge agency structures, staffing and pricing models.”

AI tools that help designers generate images or copywriters develop ideas are already changing creative production. Autonomous systems capable of handling multiple stages of a project, from initial concepts through to execution, could have much more profound consequences for the way agencies are organised.

For marketers, Schifferstein Vidal warned, the danger is confusing the ability to produce more content with the ability to create more effective advertising.

For agencies, simply using AI to deliver the same services faster and cheaper may not be enough.

Is reinvention possible? 

Canva's restructuring does not prove that AI is undermining its business. But it comes at a moment when technology is forcing companies across the industry to reconsider what their products are worth and how they deliver that value.

The threat is not necessarily that customers will stop creating content, designing websites or producing advertising. They may simply need fewer of the tools, people and intermediaries that previously made those activities possible.

“Businesses that built value by simplifying complex tasks are now discovering that AI could eliminate the need for the intermediary itself,” Schifferstein Vidal said.

The question is whether they can reinvent their business models before that happens.