Figma focuses on AI credits and partnerships to increase product impact

• Figma (NYSE:FIG) will introduce AI Credit subscriptions with monthly usage limits for AI tools starting in March.
• The company announced a new partnership with ServiceNow and closer collaboration with Anthropic and OpenAI.
• Figma has launched a new Code to Canvas feature that converts AI-generated code directly into design components within the platform.

Figma, best known for its cloud-based design platform, is pushing AI further, at the same time that many software companies are rethinking how they charge for AI-driven features. By moving to AI credit subscriptions and usage limits, Figma is moving its AI offering to a consumption style model that ties value to how often teams rely on these tools.

For investors, the new partnership and Code to Canvas feature demonstrate how Figma is positioning itself at the overlap of design, AI-assisted, and front-end workflows. Because AI-generated code flows directly into the design canvas, the company aims to sit closer to both product and engineering teams, which could impact how budgets and responsibilities are shared across UI or UX and development roles.

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📰 Beyond the headlines: Two risks and two right directions for Figma that every investor should be aware of.

AI credit models and Code to Canvas are at the core of how Figma can turn high engagement into increased spend per customer. Management says 75% of large customers already use AI credits each week, so moving to explicit AI subscriptions and usage limits gives the company a clear way to turn that usage into revenue. Our partnerships with ServiceNow, Anthropic, and OpenAI also bring Figma closer to where code is written and enterprise workflows are managed. This is relevant when comparing it to design and collaboration competitors like Adobe, Autodesk, and Atlassian, who also include AI in their paid tiers. On the other hand, there are execution risks. Figma still reported a significant net loss on a GAAP basis and plans to increase investments in AI infrastructure and stock-based compensation, likely continuing pressure on profitability even as sales increase. Pricing AI on a consumption basis also involves some uncertainty. This is because heavy users may drive down costs while light users remain in the lower tier. The important question for you is: Will these big AI moves make Figma a mainstay for product teams, or will it simply increase costs without enough additional focus?

How does this fit into Figma’s story?

• The push for AI-native workflows and usage-based pricing supports the story that Figma can extend beyond core designers to product managers, researchers, and developers, increasing its use within customer teams.
• Rising AI investments and continued losses could call into question the idea that disciplined spending can quickly lead to higher profit margins, especially if consumption-based AI pricing takes longer to scale than expected.
• The new Code to Canvas feature and partnerships with ServiceNow, Anthropic, and OpenAI further expand Figma into building front-end and enterprise applications, which is not well captured in stories that primarily focus on design and prototyping.

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Risks and rewards investors should consider

• ⚠️ Figma remains unprofitable on a GAAP basis, leading to increased AI and stock-based compensation expenses, which could continue to pressure margins even as revenue increases.
• ⚠️ Analysts are concerned that general-purpose AI tools and competing design platforms could weaken Figma’s core product, especially if AI capabilities become commoditized.
• 🎁 2025 revenue reached USD 1.06 billion, with Q4 sales reaching USD 303.78 million. Management notes that AI tools like Figma Make are strongly embraced by customers as a driver of platform usage.
• 🎁 The move to AI Credits subscriptions, along with new partnerships and deeper integration into development workflows, gives teams more ways to charge Figma for usage as they leverage AI-powered features.

Future points of interest

Going forward, it’s worth watching how quickly AI credits start showing up in Figma’s reporting numbers, and whether large customers accept the new pricing or reduce their usage. Monitor non-GAAP margin and cash flow updates as AI and stock-based compensation investments increase. This will tell you whether your business is becoming more efficient or just increasing costs. It’s also important to note how often management will highlight Code to Canvas’ partnerships with ServiceNow, Anthropic, and OpenAI in upcoming earnings calls. This will tell you whether Figma is becoming more central to engineering and enterprise workflows, or whether it will remain primarily a design tool.

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