Figma's AI credit experiment shows promise but the stock remains in freefall

At a glance:

• Figma reported Q1 2026 revenue of $333.4 million, up 46% year on year, beating analyst expectations of $316 million and raising full-year guidance by $55 million to $1.422-$1.428 billion.
• After Figma began enforcing AI credit limits on 18 March, more than 75% of higher-tier users who exceeded their allocation continued paying for credits, though about 5% of those users left the platform entirely; net dollar retention hit 139%, a two-year high.
• The stock jumped more than 8% after hours but remains down more than 80% from its post-IPO peak of $142.92, as investors weigh whether AI will disrupt or upgrade the design-software market.

Q1 results: revenue accelerates, guidance raised

Figma delivered a first-quarter that punched well above expectations. Revenue reached $333.4 million, a 46% increase year on year and an acceleration from the 40% growth rate posted in the previous quarter. Non-GAAP earnings per share came in at 10 cents, versus the 6 cents consensus, and the company lifted its full-year revenue guidance by $55 million to a range of $1.422 billion to $1.428 billion. For the second quarter, Figma guided to $348 million to $350 million in revenue, roughly $20 million above the $329.7 million analysts had been expecting. Shares surged more than 8% in after-hours trading.

The numbers also showed broad-based expansion. Net dollar retention, the key metric for measuring how much existing customers increase their spend over time, reached 139%, up three percentage points from the prior quarter and the highest level in more than two years. Paid customers grew 54% year on year to approximately 690,000. Notably, the number of paid customers with more than $100,000 in annual recurring revenue grew 48% to 1,525, while new Pro team conversions, Figma's entry-level paid tier, surged more than 150% year on year. Chief executive Dylan Field attributed the Pro team growth to adoption of its AI features.

On the profitability side, non-GAAP operating income came in at $52.1 million, giving Figma a 16% non-GAAP operating margin. Free cash flow was $88.6 million. The GAAP picture was less flattering: a net loss of $142.4 million, driven primarily by $169 million in stock-based compensation expense, an accounting consequence of going public amid a talent war. The divergence between non-GAAP and GAAP results underscores the structural cost of Figma's public status.

The AI credit experiment: 18 March and what followed

The number that mattered most to investors was not in the headline. On 18 March, Figma began enforcing credit limits on AI features across its platform, the first real test of whether customers would pay for AI-powered design tools or simply stop using them. Chief financial officer Praveer Melwani said that among Organisation and Enterprise users who had previously exceeded their free allocation, more than 75% continued purchasing AI credits in April. Roughly 95% of those users remained active on the platform as of 30 April.

The 5% who left is the less comfortable figure. Bloomberg's original report noted that about 5% of higher-tier users who exceeded the limit are now no longer active, a churn rate that is modest by software standards but not negligible for a company whose stock is priced on the assumption that AI will expand rather than erode its addressable market. The question for analysts is whether the 75% who kept paying represent durable demand or early adopters whose enthusiasm may not generalise across Figma's roughly 690,000 paid customers.

What makes the 18 March test particularly important is its timing. It came just weeks after Google upgraded its Stitch design tool and Anthropic launched Claude Design, both of which sent Figma's stock into sharp declines. The credit-limit enforcement was Figma's first concrete data point on whether its own AI features could generate recurring revenue rather than become a cost centre.

Competitive pressure: Google Stitch and Anthropic Claude Design

The bear case for Figma rests on the argument that the same AI revolution making code cheap is also making design cheap. Google's Stitch, which uses Gemini 2.5 Pro to generate high-fidelity UI designs from text prompts, remains entirely free and triggered an 8.8% single-day drop in Figma's stock when it was upgraded in March. Anthropic's Claude Design, launched in partnership with Canva, caused a further 7% decline. The competitive threat is not that these tools will replace Figma tomorrow, but that they establish a price anchor of zero for capabilities Figma is trying to charge for.

Figma's response has been to lean into the parts of its platform that free tools cannot easily replicate: collaborative workflows, enterprise-grade design systems, and the network effects that come from having roughly 78% of the Forbes 2000 as customers. The company's Model Context Protocol, which allows AI coding agents to read and write directly to Figma files, saw weekly active users grow five times quarter over quarter. Paid customers with more than $100,000 in annual recurring revenue who used the MCP server grew seats approximately 70% faster than those who did not. The strategy is to make Figma the canvas that AI agents design on, rather than the tool they replace.

Dylan Field framed the bull case in the earnings release with a phrase that has become a rallying cry for the company: "When code is a commodity, design is the competitive edge." The argument is that as AI coding tools make it trivially easy to generate functional software, the craft of designing what that software looks like and how it behaves becomes the scarce input, and Figma is the platform where that craft happens.

From $60 billion to $10 billion: the Adobe shadow and the valuation rollercoaster

It is worth remembering the full arc of Figma's financial history to understand why the market reaction to these results is so intense. Figma was nearly acquired by Adobe for $20 billion in 2022, a deal that collapsed in December 2023 after EU and UK regulators raised antitrust concerns. Adobe paid a $1 billion termination fee. Figma then went public on 31 July 2025 at $33 a share, soared past $140 on its debut, and briefly exceeded a $60 billion valuation on its first day of trading.

Today, the company's market capitalisation sits around $10.6 billion. That trajectory — from $20 billion acquisition target to $60 billion public debut to $10 billion in under a year — captures the volatility of a market where AI valuations can swing wildly on narrative alone. By May 2026, the stock was trading near its 52-week low of $16.60, down more than 80% from its post-IPO peak. The first-quarter results do not resolve the debate about whether design software is being disrupted or upgraded by AI, but they do demonstrate that, at least for now, the disruption thesis has outrun the data. Revenue is accelerating. Customers are paying for AI features. The platform is expanding rather than contracting.

What analysts and investors are watching next

The key question for investors is whether the 75% conversion rate on AI credits is a leading indicator or a ceiling. For a stock that has been priced for obsolescence, the answer matters more than the question. If the rate holds or improves as Figma rolls out more AI features and broadens its addressable market beyond enterprise design teams, there is a plausible path back toward the $30-plus share price that would represent meaningful recovery. If the 5% churn accelerates and the 75% figure fades as initial enthusiasm wears off, the stock could test new lows.

The second quarter guidance of $348-$350 million will serve as an early signal. Analysts will also watch the growth rate of MCP server adoption, the mix of new customers between Pro teams and enterprise accounts, and whether the 150%+ growth in Pro team conversions sustains as the AI feature set matures. The class-action investigation that has been lingering over Figma adds another layer of uncertainty that could suppress sentiment regardless of the underlying numbers.

Figma's Q1 results do not settle the AI debate for the design-software industry. They do, however, provide the first hard evidence that at least some customers are willing to pay for AI-assisted design capabilities rather than migrate to free alternatives. Whether that is enough to justify a recovery depends on whether investors believe the 75% conversion rate is the beginning of a durable trend or a one-time bump. For a company that has lost more than 80% of its market value in under a year, the distinction is everything.