Adobe pays Figma 1 billion dollars because regulators in the UK and Europe saw no path to approval for the merger. This payment follows the mutual agreement to terminate the transaction. Figma maintains its independence and continues to release new features. The industry moves forward with independent growth. Thirty-two percent more designers participate in development tasks, while sixteen percent more developers participate in design workflows. Seventy-three percent of designers say they perform more PM or development tasks. This role blurring happens because seventy-six percent of designers use AI coding and vibe coding tools. Fifty percent of designers have shipped AI-generated code to production. Professionals find that AI tools improve their work efficiency, with eighty-five percent of designers reporting such gains. A Figma report based on 8,403 participants and 600 qualitative interviews reveals that 57 percent of designers say design is more important than it was before the introduction of AI. This sentiment exists despite a 47 percent gap between available roles and skilled designers in the market. Weekly AI usage among designers jumped from 54 percent last year to 91 percent in 2026.
Figma Make and the AI Mockup Era
Figma Make costs 20 dollars as a beta product for mockup generation. It uses Claude Sonnet 4 to interpret prompts and create designs. The tool includes a point and edit feature. Users select an element in the preview and request changes through the chat interface. The platform integrates with the existing Figma ecosystem and pulls in buttons, cards, and layouts from existing design systems to ensure that all generated components remain perfectly aligned with the brand’s specific visual identity. You should prepare for credit limits when using this tool for complex projects. Many designers find that credit restrictions undermine the utility of Figmake during iterative workflows. Users report that AI produces imperfect results, and the system still consumes credits when a user tries to fix these errors. One professional manages five ongoing projects that require hundreds of different versions every single week to achieve functional, clickable prototypes that would otherwise require hundreds of manual steps to complete using traditional, manual, non-AI workflows. This consumption makes it difficult to plan project timelines.
| Feature | Figma Make Specification |
|---|---|
| Model | Claude Sonnet 4 |
| Price | 20 dollars (Beta) |
| Primary Function | Mockup generation |
| Integration | Figma ecosystem |
The tool focuses on mockup generation instead of full website building. It lacks backend functionality, which distinguishes it from builders like Lovable. This functionality difference is noticeable as 91 percent of designers say AI tools improve their designs, yet 49 percent of designers still search for a reliable tool and feel unconfident in their current workflow.
Code Layers and System Discipline
Code Layers bring working code directly onto the Figma canvas as a first-class layer type. This feature allows teams to convert any design layer into an interactive code layer or clone GitHub repositories into Figma. The workflow replaces the old sequential handoff with simultaneous, multiplayer collaboration. Teams work inside a shared representation where the implementation itself remains visible and editable. This shift requires strict adherence to design system structures. Designers must use semantic layer naming, auto-layout, and design tokens to ensure that AI tools interpret files reliably, because the tools will otherwise automate existing inconsistencies at a much higher speed. Developers move from manual translation to validation and integration work. They check whether the code layer, component mapping, and repository state are correct. This new workflow collapses the traditional boundary between design and development, but does the reliance on automated code create new technical debt?
Sixty percent of design leaders expect to keep or even grow design teams. This confidence follows a trend where 80 percent of companies increased investments towards AI in the past year. Designers find they can move fast without compromising quality, yet the demand for design engineering increases. Professionals require better training because only 59 percent of people say they have sufficient training for AI-based skills. Designers also need to understand how components map to implementation to avoid friction in the handoff. Designers must focus on component consolidation to reduce drift and inconsistency.
