AI Is Not Free: The New Cost of Being a Software Leader
Software AI costs are the rapidly rising research, development, and infrastructure expenses required to build, run, and maintain artificial intelligence features inside modern software products, which are now large enough to erode profit margins even when revenue is growing fast.
The core story in software right now is blunt: AI is boosting product appeal and revenue, but it is also eating profits. Figma, Shopify and Adobe are all discovering that the price of staying “AI-native” is heavy margin pressure tech stocks can no longer ignore. Figma’s latest results showed revenue up sharply, yet operating expenses almost doubled as AI investments surged, and the stock was punished with a steep after-hours drop. Shopify is in the middle of an identity shift into an AI-native merchant platform, but its rising AI expenses are already pressing on gross margins. Investors are finally waking up to the trade-off: AI may be the future, but it is a very expensive present.
Figma: A 48% Revenue Jump That Still Spooked the Market
Figma is the clearest example of how aggressive AI bets can scare investors even when the top line looks fantastic. The company reported that June-quarter revenue grew 48% to $370.1 million, beating expectations. But that growth came with a bill: research and development costs rose 101.5%, and total operating expenses nearly doubled to $426.9 million year-on-year. Its adjusted operating margin slipped from 16% to 10% in a single quarter.
This is what software AI costs look like when they hit the income statement. Figma has embedded AI across its portfolio to attract and retain more users and launched an AI agent directly in the design canvas to automate layouts and multi-step workflows. Those tools are driving usage of paid AI credits and deeper engagement. Yet the market’s verdict was harsh: despite a raised full-year revenue forecast, the shares fell 16% after the report. Quote: "Figma on Wednesday reported a sharp rise in costs and a decline in profit margins as the design software company ramps up AI investments, triggering a 16% slump in its shares".
Shopify: An AI-Native Makeover with a Thin Margin for Error
Shopify is taking a slower-burning but equally risky path. Management calls this an identity-shift year as the firm reframes itself as an AI-native platform for merchants. That pivot sounds exciting—especially around its AI assistant Sidekick—but the fine print matters: rising AI expenses are pressuring gross margins even as the company guides for a material deceleration in revenue growth.
Reverse-engineering Shopify’s valuation shows how unforgiving this setup is. With the stock trading at 120.6x trailing earnings and a market-implied path to more modest mature multiples, the thesis depends on margins climbing near 19.1% in steady state. If margins sag back toward the three-year average of 7.0%, the required revenue growth rate explodes higher—from about 15% to 36%—to justify the same market cap. That is the definition of margin pressure tech stocks: a business model where one more turn of AI infrastructure expenses can break the math. AI-native branding is cheap to say; sustaining AI-driven profits is not.
Adobe and the Sector: One Company’s AI Bill, Everyone’s Sell-Off
Figma’s results did not just hit its own stock; they rattled the entire software complex. Software shares, including Adobe and Salesforce, slipped after Figma highlighted that spending on new AI features was squeezing profits. A single company’s AI bill was enough to drag down peers because it crystallised a broader fear: AI infrastructure expenses may be structurally higher than many models assume, and the margin drag could be sector-wide.
Interestingly, this happened just as investors had started rotating capital back into software after a long stretch of underperformance. That optimism collided with a blunt reminder that AI capex and opex do not disappear in a bull market. As one analysis of Shopify notes, when you reverse-engineer growth baked into high multiples, you find "a thin margin for error" and a inherently fragile single-stock thesis. In other words, the market is shifting from cheering every new AI feature to asking whether those features can support durable margins, not just short-term revenue spikes.
What This Means for Users and the Next Phase of AI Hype
For everyday users, the upside is obvious: Figma’s AI agent can alter layouts and run multi-step workflows from inside the canvas, saving designers time and letting teams move faster. The company says these tools are attracting new users and driving existing ones to buy more AI credits. Shopify merchants gain AI helpers like Sidekick to automate operations and marketing, with the promise of smarter tooling baked into their platforms.
But the hidden cost is that all this intelligence must be paid for, and not just once. Models evolve, infrastructure must scale, and support teams must handle more complex products. As software AI costs mount, investors are shifting their focus from subscription metrics to the sustainability of profitability. Figma’s 16% share price drop on a "beat-and-raise" quarter is a warning shot. The next phase of AI hype will not be about who ships the flashiest features; it will be about who can ship them without bleeding their margins dry.
