In short: AI credits scale. Q2 revenue +48% Y/Y to $370M (a $19M beat) — its third straight quarter of accelerating growth — with adjusted EPS $0.08 ($0.04 beat) and net dollar retention at 136%. Shares still fell about 15% after hours; separately CEO Dylan Field voluntarily forfeited roughly $46M of future stock awards without replacement, saying he wanted to reduce dilution during a period of heavy investment. This was the first full quarter of AI credit monetization, with roughly 20% of paid-plan credit consumption now coming from Figma Agent, and — the answer to Q1's margin worry — adjusted gross margin rebounded 2.5 points sequentially to 85% despite higher inference spending. Figma is pushing beyond design into full-stack creation with Code Layers and its agent in open beta; neither consumes paid credits yet, so neither is in guidance. FY26 revenue guidance rose another $40M to $1.463–$1.467B (39% growth) while operating income guidance stayed at $125–$135M as investment continues.
In short: Cited as the cautionary case study behind his data-governance point, with no view on the stock: "you look at what happened when Anthropic was on the board of Figma, right? And they stepped off the board. And then like a week later, they launched a competing product. And so… if companies are looking at that, they know they have to keep their data proprietary."
Figma makes collaborative design software. It appears here only as a cautionary tale, with no view expressed on the stock — but the lesson is the reason Niles gives for his whole data-governance position.
The episode: Anthropic held a seat on Figma's board, stepped off the board, and roughly a week later launched a product competing with Figma. Whether or not anything improper occurred, the optics are the point — a board seat carries deep visibility into a company's roadmap, customers and internals.
The generalisation he draws for every corporate buyer of AI: your model vendor may become your competitor, so keep "all their proprietary data proprietary and not share it, because that's where problems get created." This is also, quietly, part of the bull case for open-source models — a model you run yourself never sends your data anywhere.
0:29THEY POSE VERSUS THE LIKES OF A CARP OUT THERE SAYING, THIS IS THE ONLY WAY FOR CORPORATE AMERICA TO KEEP ITS OWN DATA SAFE AND BUILD ON IT. — YEAH. I MEAN, I THINK THERE ARE TWO SEPARATE ISSUES. AND THERE. DAVID. THE FIRST ONE IS, I THINK FOR THOSE WHO ARE TAKING A BIGGER PICTURE, YOU LOOK AT WHAT HAPPENED WHEN ANTHROPIC WAS ON THE BOARD OF FIGMA, RIGHT? AND THEY STEPPED OFF THE BOARD.
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Verbatim excerpts from the public transcripts (auto-pulled at each mention's timestamp, lightly cleaned). Timestamps link into the video; "source page" opens that commentator's full analysis at this row. Click a mention's header line to expand it (one open at a time). For personal study — not investment advice.