Figma’s 2026 AI Report: Can AI Help Us Collaborate Better? | Figma Blog (opens in new tab)
AI is shifting from a tool for individual productivity into a driver of team collaboration. Figma’s research shows that 41% of respondents believe AI is already changing how teams work together, up from 7% two years ago. The report concludes that shared workspaces, stronger design judgment, and coordinated adoption matter more than simply making individuals faster. ## AI Is Moving Work from Solo to Collaborative - Figma’s report draws on 8,403 survey responses and 639 interviews across ten markets. - Designers and developers are increasingly crossing into each other’s work: - Designers participating in development rose from 21% to 41%. - Developers doing design work increased from 44% to 60%. - Seventy-six percent of product builders say at least half their work happens on the canvas, while six in ten spend most of their time there. - Unlike terminals or prompts, a shared canvas lets teams explore ideas, compare designs, give feedback, and solve problems together. ## Design and Judgment Matter More in the AI Era - AI can generate products, copy, and assets quickly, but it cannot decide what is worth building. - As creation becomes cheaper and faster, teams must focus more on product choices, differentiation, user experience, and trade-offs. - Ninety percent of respondents say design is at least as important as before AI; nearly 60% consider it more important. - Developers increasingly share this view, with 65% saying design has become more important. - Collaborative decision-making helps teams develop sharper judgment instead of optimizing only for individual output. ## Four Patterns of AI Adoption - The report identifies four organizational approaches: - **Unified:** Individuals and leadership advance AI adoption together (36%). - **Directive:** Adoption is driven from the top down (27%). - **Grassroots:** Practitioners lead adoption from the bottom up (20%). - **Nascent:** AI adoption remains at an early stage (18%). - Directive and grassroots organizations both experience friction when teams lack shared practices and communication. - The main challenge is organizational alignment, not simply access to AI tools. ## Building Shared AI Practices - Grassroots adopters should make successful workflows visible, create structure, and promote shared spaces. - Leaders introducing AI should close the gap between strategy and everyday practice. - The goal is not for one person to move faster, but for the whole organization to make better decisions and move quickly together. Teams should treat AI adoption as a collaborative design and organizational challenge: establish shared workflows, keep work visible, and use AI to improve collective judgment rather than only individual productivity.