Melanie Perkins discusses Canva's expansion into enterprise, competition with AI labs, token pricing strategy, and investment in proprietary models
Melanie Perkins, founder and CEO of Canva, has built one of the most successful design platforms of the past decade. What started as a simple online graphic design tool has evolved into a comprehensive visual communication platform used by millions worldwide. In a recent conversation with Nilay Patel at The Verge, Perkins shared insights into Canva's growth trajectory, competitive landscape, and strategic decisions around AI and enterprise expansion.
The conversation touched on several key areas where Canva is positioning itself for the next phase of growth. With the rapid advancement of AI tools and increasing competition from both established tech giants and nimble startups, Canva faces a complex market environment that requires careful navigation.
Enterprise Expansion and Market Positioning
Canva has been making significant inroads into the enterprise market, recognizing that large organizations represent a substantial growth opportunity. The platform's user-friendly interface and collaborative features make it particularly appealing to businesses looking to democratize design across their organizations.
Perkins emphasized that enterprise adoption has been driven by several factors. First, the platform's ability to maintain brand consistency across large teams while still allowing for creative flexibility has proven valuable for marketing departments and creative agencies. Second, the collaborative features enable seamless workflows between designers, marketers, and other stakeholders.
The enterprise push comes at a time when many companies are reevaluating their software stack and looking for tools that can serve multiple purposes. Canva's ability to handle everything from social media graphics to presentations to video content makes it an attractive all-in-one solution for many organizations.
Competing with AI Labs
The rise of AI-powered design tools has created new competitive dynamics in the visual content creation space. Major AI labs like OpenAI, Google, and Anthropic are developing increasingly sophisticated image generation and editing capabilities that could potentially disrupt traditional design platforms.
Perkins acknowledged the competitive pressure but framed it as an opportunity rather than a threat. "AI is transforming how people create and consume visual content," she noted. "The key is integrating these capabilities in ways that enhance rather than replace human creativity."
Canva has been incorporating AI features across its platform, from Magic Resize and Magic Write to more recent additions like AI-powered image generation and editing tools. The company's approach has been to embed AI capabilities directly into the workflow rather than creating standalone AI tools.
This strategy reflects a broader trend in the tech industry where companies are moving away from pure AI models toward integrated solutions that combine AI with traditional software capabilities. The goal is to make AI accessible to users who may not have technical expertise while still providing powerful functionality.
Token Pricing Strategy
One of the more interesting aspects of the conversation centered on Canva's approach to token pricing for its AI features. As AI models become more expensive to run, companies are grappling with how to price these capabilities in a way that's both sustainable and accessible to users.
Perkins revealed that Canva has been carefully considering its token pricing strategy, balancing the need to cover computational costs with the desire to keep the platform accessible to its broad user base. The company has experimented with different pricing models, including subscription tiers that include AI credits and pay-as-you-go options for heavier users.
The challenge of token pricing reflects a broader industry trend where companies are moving away from traditional subscription models toward more usage-based pricing for AI features. This shift requires careful consideration of user behavior, cost structures, and competitive positioning.
Investing in Proprietary Models
Perhaps the most significant strategic decision discussed was Canva's investment in developing its own AI models. While many companies rely on third-party AI providers like OpenAI or Anthropic, Canva has chosen to build proprietary models tailored to its specific use cases.
This decision reflects several strategic considerations. First, having control over the underlying models allows Canva to optimize them for its specific design workflows and user needs. Second, it provides greater flexibility in terms of feature development and integration. Third, it potentially offers cost advantages as the company scales.
Perkins noted that building proprietary models requires significant investment in talent, infrastructure, and data. However, she believes the long-term benefits outweigh the upfront costs, particularly as AI becomes increasingly central to the platform's value proposition.
The investment in proprietary models also positions Canva to potentially license its technology to other companies or create new revenue streams beyond its core design platform. This diversification strategy could prove valuable as the competitive landscape continues to evolve.
The Future of Design and AI
The conversation concluded with Perkins sharing her vision for the future of design and AI. She sees a world where AI augments rather than replaces human creativity, enabling more people to express themselves visually while still preserving the role of professional designers.
"The future isn't about AI versus humans," Perkins explained. "It's about finding the right balance where technology enhances human creativity without diminishing it. Our goal is to make design accessible to everyone while still providing the tools that professionals need."
This vision aligns with broader trends in the tech industry where companies are focusing on human-AI collaboration rather than pure automation. The challenge will be executing on this vision while navigating the rapidly changing technological and competitive landscape.
Market Context and Competitive Landscape
Canva's strategic decisions come against the backdrop of significant changes in the tech industry. The company faces competition not just from other design platforms but from AI labs, social media companies, and traditional software vendors all looking to capture a piece of the visual content creation market.
The timing is particularly interesting given recent developments in the AI space. Amazon's $25 billion investment in Anthropic, Google's strike team for improving coding models, and the proliferation of open-weight models like Kimi K2.6 all point to an increasingly competitive environment for AI capabilities.
Canva's approach of integrating AI into its existing platform rather than competing directly with AI labs may prove to be a smart strategy. By focusing on user experience and workflow integration rather than pure model performance, the company can differentiate itself in a crowded market.
Challenges and Opportunities
Despite its success, Canva faces several challenges as it looks to the future. The cost of running AI models continues to be a significant expense, and the company will need to find sustainable ways to monetize these capabilities. Additionally, the rapid pace of AI development means that the competitive landscape could shift quickly, requiring constant innovation and adaptation.
However, the opportunities are equally significant. The democratization of design through AI could open up entirely new markets and use cases. Enterprise adoption could provide a stable revenue base while the company continues to innovate. And the investment in proprietary models could pay dividends as AI becomes increasingly central to digital workflows.
Perkins' leadership and strategic vision will be crucial in navigating these challenges and opportunities. Her ability to balance innovation with accessibility, and to integrate AI capabilities without losing sight of the platform's core value proposition, will determine whether Canva can maintain its position as a leader in the evolving design and AI landscape.
As the conversation with Patel revealed, Canva is at an interesting inflection point. The company has built a strong foundation and is making strategic investments for the future. How these decisions play out will be fascinating to watch as the intersection of design, AI, and enterprise software continues to evolve.

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