Artificial Intelligence, subscriptions, and the growing consumer budget
Generative Artificial Intelligence has stopped being just a curiosity for tech fans in the United States and started to show up as a clear line item in family budgets, competing with streaming, mobile plans, and other digital services. Instead of relying only on free versions, a growing share of American households is setting aside part of their monthly income to keep active subscriptions to tools like ChatGPT Plus, Claude Pro, and Gemini.
According to data from the Bank of America Institute, reported by CBS MoneyWatch, the number of households paying for AI services has jumped 38% compared to the 2024 average. And those who do pay are typically spending around 20 dollars per month per subscription, up a bit more than 10% from the previous year. It is still an early-stage market, but the growth pace shows that AI has already started to claim real space in consumers budgets.
Even so, this wave is still concentrated in a minority: around 3% of households served by Bank of America paid for AI services in early 2026. That might sound small, but the combination of a tiny base with rapid growth is a classic picture of markets on their way to becoming huge. And that is exactly what several analysts are starting to see when they look at generative AI consumption in the United States.
Who is paying for AI and how that money is being spent
The Bank of America Institute data shows that the first paying subscribers for AI are mostly higher-income households and younger people, the same group that usually adopts new technologies before the rest of the population. But recent trends point to an expansion beyond this initial bubble.
In February 2026, the strongest growth in median spending on AI appeared among families with annual incomes between 75,000 and 125,000 dollars. In other words, the middle class has begun to fit AI into the budget, not as a luxury, but as a tool that is part of daily work and personal life.
The most common amount among subscribers is 20 dollars per month per plan, a price range that has basically become the standard across major generative AI platforms:
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- ChatGPT Plus, from OpenAI
- Claude Pro, from Anthropic
- Paid plans for Gemini / Google AI
This price level is similar to what many people already pay for video or music streaming, which makes it easier to slot AI into the same mental shelf as other recurring digital services. But unlike pure entertainment, AI is increasingly seen as a productivity multiplier: something that helps with studying, work, business, and even everyday decisions.
Moving up a tier: from 21 to 40 dollars per month
Another important data point from Bank of America is the sharp increase in the spending range between 21 and 40 dollars per month. This subscriber category grew about 50% in 2026 compared to 2024, which suggests that a lot of people are going beyond the basic plan.
This jump can happen in two main ways:
- Users paying for more than one service at the same time, combining, for example, ChatGPT Plus with another model;
- Subscribers upgrading to more advanced plans, with more features, higher limits, or extra tools.
The market itself has already started to offer higher pricing tiers. OpenAI, for example, launched a plan around 100 dollars per month aimed at heavy use, especially for people who work intensively with code and software development, while maintaining even more expensive plans for very specific profiles. This kind of premium tier shows there is an audience willing to pay more when they see a direct gain in productivity and work quality.
Comparing it to the early days of streaming
Stephanie Bowley, an analyst at the Bank of America Institute, summed up the current moment with an analogy that makes a lot of sense: she says today’s landscape looks similar to the early years of music and video streaming services. Back then, the subscriber base was also small, but:
- growth was fast;
- willingness to pay rose as content improved;
- the services evolved from a novelty into a part of everyday life.
With generative AI, something similar is happening. Users try it for free, realize the tool helps with many tasks, start to depend on it and, when they hit the limits of free versions, decide to pay for more stability, more features, and fewer restrictions. Little by little, the recurring spend stops being questioned every month and becomes something normal in the budget.
The huge gap between value created and revenue captured
While the number of subscribers grows, a study from the Stanford AI Index 2026 calls attention to something else: the size of the gap between the value AI delivers to consumers and the money companies actually capture through subscriptions.
According to the report, generative AI tools already generate about 172 billion dollars per year in value for consumers in the United States. This figure takes into account time saved, productivity gains, and benefits that can be estimated financially.
On the other hand, direct subscription revenue from AI is still just a fraction of that. Most users continue to access models through free versions with usage limits, or indirectly, via other services that embed AI without charging a separate fee for it.
This gap between value created and value monetized is now one of the main focuses for big AI companies, which are looking for:
- new pricing and plan structures;
- bundles with multiple integrated features;
- premium tiers for heavy users.
The logic is straightforward: if people already recognize that AI genuinely helps them, there is room to convert more of that benefit into recurring revenue. The challenge is doing that without pushing away those who are just getting started or depend on free versions for basic access to the technology.
Forecasts: a 75 billion dollar per year market
Based on current adoption data and the pace of growth, Bank of America Research projects that the consumer AI market in the United States could reach about 75 billion dollars per year in revenue.
This expansion should be driven mainly by four major use cases:
- Personal and professional productivity – writing, presentations, analysis, and automations;
- Search and research – conversational answers replacing part of traditional search;
- Entertainment – generating stories, images, videos, scripts, and creative interactions;
- Personal assistants – support with shopping, travel, financial education, and daily decisions.
As these use cases become more established, the trend is that more families will start treating AI as part of their must-have digital toolkit, which strengthens the monthly subscription model and opens the door for family plans, educational packages, and offers tailored to small businesses.
How this trend impacts the crypto and AI token market
The rise of paid AI usage is not relevant only to big tech and software startups. In the crypto ecosystem, projects focused on AI infrastructure and AI tokens are also watching this shift in consumer behavior closely.
This is because, in many blockchain-based business models, token value is directly tied to factors such as:
- demand for infrastructure like compute, storage, or models;
- usage fees on the network or protocol;
- real monetization of the services offered.
When the end consumer clearly shows a willingness to pay for AI, that becomes a strong signal that market expansion is not just a flash in the pan fueled by hype or speculative spending on infrastructure. Instead, it suggests there is a concrete base of practical usage that can support, in the long run, both traditional companies and decentralized projects.
This distinction matters in the middle of the debate around a possible AI bubble. Many analysts are trying to separate price gains driven by useful platforms that are part of daily life from those based solely on overblown expectations about infrastructure that still does not have matching demand. The Bank of America numbers indicate that, at least on the consumer side, demand has become real enough to influence how investors, companies, and developers see the future of the sector.
AI in the budget today, global impact tomorrow
The current picture in the United States works as a kind of behavioral laboratory that other countries are likely to follow, with local twists. When just over 3% of households are enough to generate 38% growth in the volume of paid subscriptions, it is not hard to imagine what happens if penetration rises over the next few years.
For anyone watching from the outside, including in Brazil, the message is clear: this is not just a technological trend, it is also an economic and cultural one. As AI tools become more accessible, with simple interfaces and support in multiple languages, the discussion stops being just about whether the tech is advanced and shifts to whether it fits into the budget and justifies a monthly investment.
In the end, the way American families are carving out space in their budgets to pay for AI shows a turning point: the technology has moved out of the testing phase and into a phase of recurring financial commitment. And once an expense reaches that stage, it usually sticks around for a long time, shaping the direction of an entire market.
