Down 37% in 2026, Is Figma Stock an Undervalued Stock to Buy?

Figma (FIG) shares are reported to be falling amid broad market declines and rising competitive pressure from artificial intelligence (video published March 22, 2026; stock prices cited as of the afternoon of March 20, 2026). Motley Fool's Stock Advisor did not include Figma in its top-10 picks and discloses it holds and recommends Figma, indicating mixed analyst positioning and potential sentiment-driven downside for the stock.

Analysis

The immediate second-order winner from AI-driven competition in product design is not just a rival UX tool but the GPU/cloud compute suppliers that power large multimodal models; every incremental AI feature that moves from client-side scripting to server-side inference increases per-seat variable costs and therefore tilts margin capture toward NVDA and hyperscalers rather than FIG. Over 12–24 months expect design platforms to shift from fixed-seat SaaS economics toward usage-based billing for AI assists, compressing subscription ARPU growth while increasing unpredictable usage-based revenue volatility.

Competitive dynamics favor incumbents that can bundle design tooling into broader suites or cloud platforms; Microsoft/Adobe or cloud providers could neutralize FIG’s enterprise stickiness by embedding rudimentary AI design assists for free, forcing FIG to premiumize advanced features. That creates a bifurcation: commoditized UX flows (lower-margin) versus high-value system design and enterprise integrations (retainable, defendable), so watch enterprise contract churn and net dollar retention as leading indicators.

Risk timeline: near-term (days–weeks) is driven by sentiment, earnings commentary, and AI feature announcements; medium-term (3–12 months) by customer metric trends and any bundling moves by large software vendors; long-term (1–3 years) by whether FIG converts to a usage-monetization model or is acquired/integrated. A catalytic upside that reverses the current negative bias would be a credible enterprise land-and-expand story showing rising usage-based revenue and >120% net dollar retention or a strategic partnership that outsources inference costs without passing them to customers.

Key Decisions for Investors

• Pair trade (3–9 months): Short FIG via borrow or buy FIG 3–6 month puts (1–2x position) and go long NVDA 6–12 month calls (0.8–1x notional). Rationale: capture margin shift to GPU/cloud; risk if FIG reports strong enterprise retention—cap losses by sizing puts to 2x of NVDA calls.
• Directional long on NVDA (6–18 months): Buy NVDA calls or a 6–12 month call spread to limit cost. Risk/reward: expect material upside if AI-driven inference demand grows +20–40% YoY; downside is 20–30% if AI cycle cools or supply normalizes—use spreads to cap drawdown.
• Event-driven speculative long on FIG (3 months): Buy a small FIG call spread around next earnings only if cash burn and retention metrics stabilize; cap cost to <1% portfolio. This is a volatility play: limited premium for upside if market re-rates on secular monetization evidence.
• Hedge for software exposure (ongoing): Long NVDA + short FIG reduces pure SaaS multiple risk; maintain stop-loss on FIG short at 15–20% adverse move and take-profit on NVDA at 30–50% to rebalance risk/reward.