In May 2026, the US data analytics firm Indagari analyzed credit card transaction records from roughly 28 million American consumers. The goal was simple: track where people who actually pay for AI subscriptions are moving their money. The results defied expectations. ChatGPT still commands the overwhelming majority of paid subscribers — that hasn't changed — but the gap wasn't widening. It was narrowing. Paid Claude subscriptions have grown roughly 75% since January 2026.

Over the same stretch, the online education platform DataCamp released data drawn from 20 million users. Learners voluntarily searching for and enrolling in Claude courses outnumbered those choosing ChatGPT courses by more than 3 to 1, and over the most recent 30-day window, demand for Claude courses grew 18-fold. In DataCamp's site-wide search rankings, "Claude" became the single most-searched term — ranking even above the generic query "AI."

Both companies are heading toward public offerings. As OpenAI prepares to go public, Anthropic filed its own IPO application on June 1, 2026. Paid-subscriber trends are no longer just a matter of user taste — they're now read as a growth metric investors watch closely. That's exactly why Indagari's analysis landed at this particular moment.

Why Paying Customers Move Faster

There's a behavioral difference between people who use AI for free and people who pay for it. Free users tend to stick with the name they already know; with no switching cost, there's little incentive to actively hunt for alternatives. Paying subscribers are different. The moment they commit to that first monthly charge, they set a bar: this service needs to earn back what it costs. When that expectation goes unmet, paying users switch faster than free ones do.

In this context, it's hard to ignore the event that directly triggered the early-2026 surge in Claude subscriptions. Reports emerged that paid subscribers jumped noticeably right after Anthropic publicly refused to support the Trump administration's mass-surveillance program and turned down a request to enable autonomous-weapons use. It's a case where a company's stated position — not its technical performance — became the trigger for a subscription decision. A mood took hold among consumers in which which AI service you pay for each month started to read as a signal of which direction you support.

A similar conversation reignited in mid-June 2026, when the US government restricted certain AI models from serving non-US users. Once again, it became clear that an AI provider's staying power and how it responds to policy pressure genuinely factor into subscription decisions.

What 75% Growth Shows — and What It Doesn't

This is the point where the skeptical view deserves an honest hearing. According to Sensor Tower's app analytics, ChatGPT still holds far more paying users than Claude on every platform. That "75% growth" figure could simply be an optical illusion that looks dramatic because it started from a small base. Going from 100 to 175 and going from 1 million to 1.75 million are both 75% growth, but they mean very different things at scale. In absolute terms, the distance between the two services remains substantial.

If the trigger for the subscription surge was a political event rather than technical differentiation, how long that growth holds up is also uncertain. There's no data yet on whether subscriptions that start as an ideological reaction convert into long-term retention. DataCamp's 18x figure also doesn't specify its baseline. If the starting point was low, the number could look more dramatic than it really is.

Even with these caveats on the table, there's a reason this trend is hard to dismiss as noise. Three independent data sources — credit card transaction analysis, education-platform search data, and course-enrollment patterns — are all pointing in the same direction. When independent measurements converge this consistently, it's difficult to write them off as a single measurement error.

There's another factor behind the growth. Claude tends to score well with users on long-context document work — handling lengthy contracts or reports, or iterating on a deliverable across multiple rounds of conversation. DataCamp's demand spike reads as this specific usage pattern converting into demand for training.

One Question to Ask Before Your Next Monthly Charge

For Korean solo entrepreneurs and planners, the practical takeaway from this data is that AI subscriptions have already claimed a concrete line item in the cost structure.

Financial thinking starts with asking where and how a spent resource comes back to you. Treat a monthly AI subscription as just another line item in the software budget, and it becomes hard to tell whether it's actually cutting your work time or improving the quality of your output. Plenty of subscriptions keep charging even when unused, or persist out of inertia without anyone checking whether a better option exists. To call something an investment, you first have to confirm what it returns, and how much.

AI services genuinely differ in performance depending on the type of task. Some excel at maintaining long document context and deep analysis; others shine with real-time web search and a broad ecosystem of external tool integrations. Tasks like reviewing contracts, drafting reports, or structuring ideas depend on long context, while tasks like gathering the latest market information or connecting to outside services call for something else entirely. Once you know which category your current work mostly falls into, you can check whether your subscription choice is actually allocated to match.

There's one more thing to take from the DataCamp numbers: getting fully fluent in the service you already subscribe to may deliver faster real-world gains than adding a new one. Claude course demand surpassing ChatGPT's by more than 3 to 1 signals rising demand to learn how to properly use a specific service. Before adding another subscription, boosting how much you actually use the one you already have may be the smarter allocation of resources.

The analysis of 28 million credit card transactions reveals two things at once: ChatGPT still leads the market, and a share of paying users has started making a different choice. What stays with me from this data isn't the competitive dynamics — it's a single question. Is the AI subscription you're paying for every month actually delivering value that matches its cost, and is that judgment resting on verification rather than habit?