Anthropic Chief Product Officer Resigns from Figma Board, Rumors of Claude Design Tool Emerge
Mike Krieger, co-founder of Instagram and Chief Product Officer of Anthropic, officially resigned from the Figma board on April 14. On the same day, The Information reported that Anthropic's Opus 4.7 model will include a design tool, Claude Design, which will directly compete with Figma's core business. Krieger had joined the Figma board less than a year ago, and this move is seen as a shift from traditional design software to AI-driven design-to-code workflows.
Figma's valuation has dropped from a peak of $60 billion to about $10 billion, and Adobe has fallen 25-30% this year. The market is already repricing the design software stack amid rumors. Claude Design simplifies the process of creating a page that previously required over 20 prompts to just 2 prompts, achieving a runnable prototype from concept in a single conversation, significantly compressing the design development cycle.
Source: Public Information
ABAB AI Insight
This resignation coinciding with tool rumors marks a turning point for the design software industry facing AI Agent-level replacements. Traditional platforms like Figma rely on manual iterations and multi-prompt collaboration, while Claude Design generates complete interfaces and handles code handoff directly through foundational models, compressing the production process from a linear toolchain to a single intelligent agent. This technological replacement directly erodes the pricing power and user stickiness of existing SaaS, driving capital to rapidly migrate from mature design software to generative AI application layers.
Structurally, this accelerates the redistribution of wealth and opportunities in the creative industry. The revaluation of Figma and Adobe reflects market skepticism about the long-term moats of traditional tools, while elevating the position of model providers like Anthropic in downstream workflows. Early adopters of AI design links will gain an iterative speed advantage, further widening productivity disparities: teams mastering prompt engineering and agent collaboration will achieve exponential output, while organizations relying on old tools will face relative competitiveness decline.
This event is situated within the long-cycle evolution of the software industry. Each paradigm shift in history (such as from desktop software to cloud SaaS) has been accompanied by valuation resets for incumbents and the rise of new entrants. The current penetration of AI into the design phase is both a result of accumulated computational power and data scale, and exposes the lagging incentives under institutional inertia: as model companies directly enter high-margin application layers, the capital allocation efficiency of traditional software is systematically reassessed, ultimately affecting the power dynamics and wealth flow direction of the entire digital production toolchain.