Canva cofounder Cameron Adams has outlined a decentralized approach to enterprise AI adoption, rejecting top-down mandates in favor of employee-driven experimentation. Speaking during an interview recorded at the Cannes Lions festival, Adams emphasized that compelling staff to adopt a single AI platform stifles innovation and results in reluctant compliance. Instead, Canva grants each team individual AI budgets, allowing employees to select and integrate the tools that best suit their specific workflows. To further accelerate this experimental culture, Canva recently hosted an AI Discovery Week, pausing routine operations so staff could dedicate the full week to testing emerging tools, analyzing internal bottlenecks, and exploring cross-industry use cases. Adams noted that this structured autonomy cultivates the iterative mindset necessary for meaningful AI integration, contrasting sharply with emerging corporate practices that have begun tracking AI usage as a performance metric. Competitors such as Duolingo, JPMorgan Chase, and Disney have implemented leaderboards and token-based tracking to drive adoption, a strategy that often prioritizes volume over strategic application. The internal initiative complements Canva broader product strategy. In April, the company launched Canva AI 2.0, a conversational design platform capable of transforming basic text prompts into polished layouts. Independent evaluations have placed Canva AI 2.0 on par with competing AI design tools like Claude Design, reinforcing the company commitment to embedding generative capabilities into its core offering. Canva strategy reflects a wider shift in how enterprises manage AI expenditures. As organizations grapple with escalating model usage costs, industry leaders are moving away from vendor lock-in toward hybrid, task-specific AI stacks. Coinbase chief executive Brian Armstrong recently advised routing straightforward operations through lower-cost models while reserving premium APIs for complex tasks. Similarly, Vercel chief executive Guillermo Rauch highlighted a growing industry focus on optimizing the full AI infrastructure, including model selection, orchestration layers, and data routing, to maximize efficiency. By treating AI tools as interchangeable components rather than monolithic solutions, companies can maintain innovation velocity while containing spending. Canva decision to empower employees with budgetary autonomy and dedicated exploration time positions the firm at the intersection of product innovation and operational pragmatism. Rather than enforcing compliance, the company is engineering an environment where practical experimentation drives adoption, a model that aligns with the broader enterprise pivot toward flexible, cost-conscious AI architectures.