Private market investors often evaluate companies based on growth narratives, category leadership, and future potential. Few recent stories highlight the risks behind those narratives better than Figma.
The company went from one of the most celebrated software IPOs in recent years to losing most of its peak market value within months. Yet its fundamentals remain strong.
That contrast is exactly why the story matters.
Figma’s experience offers a real time case study of how public markets reassess high growth software companies once excitement around AI meets operational reality.
Why This Matters for Private Investors
Figma’s trajectory is not just about a single public company. It mirrors the way many private software startups are currently valued.
Across the startup ecosystem, companies are raising capital and trading in secondary markets at premium valuations based on three familiar ideas:
- Category leadership
- Strong retention and recurring revenue
- AI driven upside
Figma checked all three boxes before its IPO. It still does in many respects. Yet its valuation collapsed from roughly $68 billion to about $11 billion.
That shift highlights a key lesson for investors evaluating late stage startups.
Private market optimism can diverge sharply from public market reality.
When companies finally face public market scrutiny, narratives get tested much more aggressively.
The Setup: One of the Biggest IPO Pops in Decades
Figma went public on July 31, 2025, pricing its shares at $33.
What happened next was extraordinary.
- The stock opened at $85
- Closed its first trading day at $115.50
- Peaked within 48 hours at $142.92
That represented a 250 percent first day surge, one of the largest IPO gains for a billion dollar deal in over thirty years.
At that peak, the company’s market capitalization reached around $68 billion.
Today, the stock trades near $21, placing the company’s valuation close to $11 billion, below the IPO price.
What makes the decline striking is that the core business did not collapse.
Figma still reports strong SaaS metrics:
- Revenue growth of 38 percent year over year
- 131 percent net dollar retention among customers spending over $10,000 annually
- Over $1 billion in annual recurring revenue
By traditional SaaS standards, those are excellent numbers.
So why did the market change its mind?
Lesson 1: Product Market Leadership Does Not Guarantee AI Leadership
Figma dominates the UI and UX design category.
Depending on how the market is measured, its share ranges from roughly 41 percent to as high as 80 or 90 percent among professional designers.
However, that dominance has not carried over into the emerging AI design market.
Figma’s generative AI product, Figma Make, launched around the time of the IPO. Its market share remains very small, estimated around 2 percent.
Meanwhile Adobe Firefly has captured roughly 29 percent of the AI design tool market.
The difference largely comes down to distribution.
Adobe integrates Firefly directly into:
- Photoshop
- Illustrator
- The broader Creative Cloud ecosystem
Creative Cloud already has more than 32 million subscribers, which means AI features appear automatically in tools people already use.
Other competitors have similar advantages. Microsoft Designer is bundled inside Microsoft 365, which has over 400 million paid seats.
Figma, by contrast, has to convince users to adopt a new AI feature inside its product rather than simply activating a capability that already exists in their workflow.
The takeaway for private investors
Category leadership in a core product does not guarantee leadership in AI.
When evaluating startups adding AI features, investors should ask:
- Who controls distribution?
- Can the company afford to give AI capabilities away to drive adoption?
- Or must the company monetize immediately to cover infrastructure costs?
Distribution often matters more than innovation.
Lesson 2: Developer Reactions Often Reveal the Real Story
Some of the most revealing signals about a technology platform come not from earnings calls but from how developers respond to new tools.
Figma introduced an official Model Context Protocol server, often referred to as an MCP server. The idea was to allow AI coding agents to access design context stored in Figma.
However, the response from the developer community was mixed.
Several developers publicly criticized the official implementation for being limited. The main complaint was that the system allows AI agents to read design information but not modify the designs themselves.
In other words, the integration was largely one directional.
Developers quickly built their own alternatives. Today there are dozens of community built MCP servers offering broader functionality.
Why would a company restrict its own tool?
The answer may lie in the business model.
If AI agents can freely generate and manipulate design assets, they could potentially reduce the need for traditional design workflows within Figma.
The takeaway for private investors
How companies approach AI integration often signals their confidence in the future.
Platforms that fully open their ecosystems may accelerate innovation. Platforms that restrict AI access may be protecting existing revenue streams.
Investors should pay attention to these signals because they can reveal whether a company sees AI as an opportunity or a threat.
Lesson 3: AI May Compress Workflows Instead of Expanding Them
The most important strategic question for Figma may not be competition from other design tools.
It may be the possibility that AI eliminates parts of the design workflow entirely.
Historically, product development followed a familiar sequence:
- Designers create visual mockups
- Developers translate those designs into code
- Teams iterate through feedback cycles
Figma became dominant because it owned the design stage of that process.
However, modern AI coding tools are changing the workflow.
Tools such as advanced coding assistants can now generate user interfaces directly from natural language prompts. Engineers can describe an interface and receive working code.
For many users of Figma who are not professional designers, including:
- product managers
- engineers
- founders
that shortcut can be extremely appealing.
Instead of designing first and coding later, the process becomes direct creation through AI.
Figma clearly understands this risk. The company has responded with several AI focused initiatives.
Recent product launches include:
- Figma Make, built in partnership with AI providers
- Figma Sites, focused on building web experiences
- Figma Buzz, an AI powered content tool
The company also acquired the Israeli AI startup Weavy for more than $200 million to strengthen its AI capabilities.
Still, the strategic question remains.
Does AI expand the design market or reduce the need for design tools altogether?
That question applies to many categories beyond design software.
Lesson 4: The Balance Sheet Matters in AI Competition
Artificial intelligence is expensive.
Developing large scale AI features requires massive spending on:
- computing infrastructure
- model training
- inference costs
- engineering teams
This creates a structural advantage for large incumbents.
Adobe, for example, can invest billions of dollars into AI development while distributing those features across its entire software ecosystem.
Firefly has already generated approximately $400 million in direct revenue and contributed around 11 percent of new Creative Cloud annual recurring revenue.
Microsoft has even greater flexibility. It can integrate AI features into Microsoft 365 without requiring those features to generate direct revenue.
For Figma, the economics look different.
AI infrastructure spending has pushed the company’s gross margins down from roughly 91 percent to around 83 to 86 percent over the past eighteen months.
That decline reflects heavy investment in capabilities that have not yet produced meaningful revenue.
The takeaway for private investors
AI competition often becomes a capital competition.
Investors evaluating high valuation startups should consider a simple question.
Can the company realistically compete with the spending power of larger incumbents?
If the answer is uncertain, the AI narrative embedded in the valuation may be too optimistic.
Lesson 5: Multiple Compression Can Be Brutal
The mathematics behind Figma’s valuation change are straightforward but important.
At the IPO price of $33, the company was valued at roughly $12 billion on about $750 million in trailing revenue.
That implied a revenue multiple of around 16 times.
At the peak share price of $143, the market briefly valued Figma at more than 90 times revenue.
Today, the company trades closer to 10 to 11 times forward revenue.
For a SaaS business growing nearly 40 percent annually, that multiple is not unreasonable.
But it is dramatically lower than the valuation investors briefly assigned.
Many private software companies are still valued in secondary markets at 30 to 50 times revenue based on AI potential.
Figma’s experience demonstrates how quickly those multiples can compress once public markets reassess the narrative.
The takeaway for private investors
Strong fundamentals do not guarantee premium multiples.
Investors must stress test what happens if market multiples fall significantly by the time a company goes public.
What Investors Should Watch Going Forward
Figma’s future remains uncertain but far from bleak.
The company still has a strong user base, strong growth, and a widely loved product.
Several factors will determine how its story evolves:
AI monetization
Investors will want to see whether AI features begin generating meaningful revenue rather than simply increasing product capabilities.
Margin recovery
If infrastructure costs continue to pressure gross margins, the company may lose part of its traditional SaaS profitability profile.
Competitive positioning
How management addresses competition from both AI coding tools and large software ecosystems will shape long term expectations.
The Bottom Line
Figma’s sharp valuation decline reflects several overlapping factors:
- typical volatility after a major IPO
- slower than expected traction in AI products
- concerns that AI could reshape the design workflow
- competition with incumbents that have far larger resources
Importantly, none of these factors suggest that Figma is a bad company.
The business remains strong by most operating metrics.
What the story does show is how quickly public markets can challenge valuations built on optimistic assumptions.
For private investors, the lesson is straightforward.
AI narratives alone are no longer enough.
Markets are beginning to demand evidence that AI investments translate into real revenue, durable advantages, and sustainable margins.
Companies priced for perfection must now prove they can deliver it.