Figma (FIG) investor relations material

Product innovation and roadmap

• Significant increase in product announcements, with a focus on AI-driven features and expanding creative tools such as motion, expressive shaders, and the ability to create custom tools within the platform.

• Core strategy centers on visual interaction as the primary abstraction layer, aiming to make code a background implementation detail and empower users to manipulate designs directly on the canvas.

• Upcoming launch of Code Layers will allow users to place code directly on the canvas, enabling full-functioning prototypes and seamless integration between design and code.

• Figma Agent is being developed to facilitate collaboration between humans and AI agents, focusing on speed, quality, and cost efficiency.

• Emphasis on leveraging workflow and design system data as a competitive moat, enhancing model training and customer capabilities.

Competitive landscape and differentiation

• AI-native startups and frontier models are rapidly improving, especially in code generation, but design capabilities remain incrementally advanced, with challenges in visual quality and adherence to complex design systems.

• Figma maintains strategic differentiation by keeping the canvas central to workflows and integrating with coding agents through tools like MCP, while observing growing usage of features that write back to the canvas.

• Proprietary workflow and design data accumulated across the product lifecycle is positioned as a unique, hard-to-replicate asset.

• Strict adherence to brand and design guidelines remains a challenge for third-party agents, with Figma aiming to address this through deeper integration and context utilization.

Monetization, pricing, and usage trends

• Recent reduction in credit costs by up to 50% aimed to drive higher usage, reflecting a strategic focus on volume over immediate gross margin optimization.

• Cost of tokens for frontier models is decreasing significantly, enabling more aggressive pricing without sacrificing quality.

• Quality improvements in products like Figma Make have led to increased adoption, with ongoing efforts to integrate knowledge and context across Make, Code Layers, and Agent.

• Decision to lower prices was based on both customer feedback and internal assessment that previous pricing was too high for optimal adoption.