In May 2026, the U.S. data analytics firm Indagari analyzed credit card transaction records from roughly 28 million American consumers. The goal was singular: track where people who actually pay for AI subscriptions are moving. 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 subscription transactions have grown roughly 75% since January 2026.

Around the same time, the online learning platform DataCamp released data covering 20 million users. Learners voluntarily searched for and enrolled in Claude courses more than three times as often as ChatGPT courses, and over the most recent 30-day period, demand for Claude courses jumped 18-fold. On DataCamp's site-wide search rankings, "Claude" became the single most-searched term—outranking even the generic query "AI."

Both companies are heading toward an IPO. As OpenAI prepares to go public, Anthropic filed its own IPO application on June 1, 2026. Paid-subscriber trends have stopped being mere user-preference trivia and started reading as a growth metric investors watch closely. That's precisely why Indagari's analysis landed at this particular moment.

Why Paying Subscribers Move Faster

There's a behavioral gap 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 explore alternatives. Paying subscribers, on the other hand, set a benchmark the moment they commit to that first monthly charge: an expectation that the service needs to earn back what it costs. When that expectation goes unmet, paying users switch faster than free ones do.

Against that backdrop, it's hard to ignore the event that directly triggered the early-2026 surge in Claude subscriptions. Reports emerged that paid subscribers rose noticeably right after Anthropic publicly declined the Trump administration's requests to support mass-surveillance programs and autonomous weapons use. Here, the trigger for a subscription decision wasn't the AI service's technical performance—it was the company's stated position. A mood took hold among consumers where which service you pay for each month started reading as a signal of which direction you're backing.

A similar conversation flared back up in mid-June 2026, when the U.S. government imposed restrictions on certain AI models serving non-U.S. users. It confirmed once again that a service's staying power and how its operator navigates policy genuinely shape subscription decisions.

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

This is the point where a skeptical read deserves an honest hearing. According to Sensor Tower's app analytics, ChatGPT still holds far more paid users than Claude across every platform. That "75% growth" figure could simply be an optical illusion that percentages produce when the starting base is small. 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 subscription surge was triggered by a reaction to a political event rather than technical differentiation, how long that growth holds up is also an open question. There's no data yet on whether subscriptions born from an ideological reaction convert into long-term retention. DataCamp's 18-fold figure doesn't specify its baseline, either. If that starting point was low, the number could leave a stronger impression than the underlying reality warrants.

Even granting those caveats, there's a reason it's hard to dismiss this trend as noise: three independent data sources—credit card transaction analysis, education-platform search data, and course enrollment patterns—all point in the same direction. When independent measurements converge on a consistent direction, it's hard to chalk that up to a single measurement error.

There's another factor behind the growth. Claude tends to score well with users on long-context document work. It's earned consistent praise for handling lengthy contracts or reports, and for refining output across extended, multi-turn conversations. DataCamp's demand spike reads as that specific usage pattern converting directly into learning demand.

One Question to Ask Before Every Monthly Charge

The practical takeaway for Korean solo entrepreneurs and planners is this: AI subscriptions have already begun occupying a concrete, specific line item in the cost structure.

Financial thinking starts with asking where and how spent resources come back. Treat your monthly AI subscription as just another line-item software cost, and you'll struggle to confirm whether it's actually cutting your work time or raising the quality of your output. Plenty of subscriptions keep charging despite going unused, or persist out of sheer inertia without anyone checking whether a better option exists. To call something an investment, you first have to verify what comes back, and how much.

Real performance differs by task type across AI services. Some excel at maintaining long document context and analysis; others lean on real-time web search integration and a broad ecosystem of external tools. Work where long context matters most—reviewing contracts, drafting reports, structuring ideas—is a different animal from work that requires gathering the latest market information or connecting to outside services. Once you identify which category your main workload falls into, you can check whether your current subscription is actually allocated to match it.

There's one more thing to read out of the DataCamp numbers: mastering the service you already subscribe to can deliver faster, more substantive improvement than piling on a new subscription. Claude course demand outpacing ChatGPT's threefold is a signal that demand for learning to properly use a specific service is climbing. Before adding another subscription, boosting how well you use the one you already have may simply be the smarter allocation of resources.

The analysis of 28 million credit card transactions reveals two facts: ChatGPT still leads the market, and a segment of paying users has started making a different choice. What draws my attention in this data isn't the competitive dynamic so much as a single question: is the AI subscription you're paying for every month actually contributing to your work in proportion to its cost—and is that judgment resting on verification, rather than habit?