This design stock has lost roughly half its value in 2026. Citi thinks it could double from here

Citi initiated Figma at Buy with a $36 price target, implying about 100% upside from Tuesday's close. The bank argues AI integrations should reduce disruption risk and could expand Figma's total addressable market to $50 billion by 2029, roughly double last year's estimate. Citi also sees upside from subscription upgrades as customers move to higher-priced plans.

Analysis

The market is still pricing FIG as a legacy design tool facing AI substitution, but the more interesting setup is platform re-embedding: if workflows move from isolated UI design into code-adjacent and agentic environments, the value shifts from "best editor" to "coordination layer." That makes FIG less vulnerable to model commoditization than the selloff implies, because the moat becomes switching costs, permissions, collaboration graph, and file/workflow standards rather than pure feature depth. The second-order winner is not just FIG’s core seat growth, but attach rates in premium collaboration and enterprise governance as AI increases the number of non-designers touching the product.

The contrarian miss is that AI can expand usage faster than it erodes pricing. If AI lowers the cost of producing prototypes, it should increase the volume of iterations and broaden the buyer set to PMs, marketers, and developers, which is a better TAM expansion story than the Street’s current “AI destroys design software” framing. The risk is timing: this is a months-to-years monetization story, while sentiment can remain hostile until evidence shows net seat expansion or faster ARPU reacceleration in subsequent quarters.

Catalysts are likely to come from product announcements that prove FIG is becoming the system of record for AI-assisted workflows, plus any signs that premium add-ons or multi-license upgrades are offsetting seat softness. The main tail risk is that incumbents or open-source/AI-native tools compress the low end of the market faster than FIG can reprice the high end, causing a near-term multiple overhang even if fundamentals are intact. In that scenario, the stock can stay cheap longer than expected, but the downside is increasingly tied to execution failure rather than existential disruption.

Key Decisions for Investors

• Initiate a tactical long FIG position on weakness with a 3-6 month horizon; use recent drawdowns to establish cost basis, targeting a 25-35% upside re-rating if AI attach-rate and enterprise upgrade commentary improves.
• Buy FIG call spreads 6-9 months out to express upside convexity while limiting premium burn; structure around a post-earnings catalyst because the thesis depends on proof, not narrative.
• Pair trade: long FIG / short a basket of lower-quality SaaS names exposed to AI feature commoditization, to isolate the thesis that platform depth and workflow ownership matter more than single-feature advantage.
• If already long, hedge with a partial collar into the next earnings cycle; the stock can gap against you on any sign of slower seat growth even if the medium-term AI thesis remains intact.