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ChatGPT has lost half its empire: in three and a half years, from dominating the market to being split up
It has been three and a half years since ChatGPT's emergence. At that time, many people first realized that chat interfaces could become the next-generation internet gateway. Today, it has long become the fastest application in human history to reach 1 billion monthly active users, but at the same time, it has also ushered in a landmark turning point:
ChatGPT's global market share has fallen below 50% for the first time.
Data analysis firm Sensor Tower stated in the "2026 Artificial Intelligence Status Report" that as of the end of May this year, ChatGPT's share of the global AI assistant market dropped to 46.4%. Before January this year, this figure was still above 50%. ChatGPT remains the world's largest AI assistant. But leading no longer equals monopoly.
The AI assistant boom ignited by OpenAI has shifted from surprise, trial, and admiration to product comparison, ecosystem integration, paid conversion, and commercial monetization.
Loyalty is a false proposition; users are all "bad boys"
In 2023, having a ChatGPT account also carried a certain identity of being an AI trendsetter.
By 2026, AI assistants are increasingly becoming infrastructure in internet life, similar to search engines, email, and office suites. The most noteworthy change in the Sensor Tower report is not just that ChatGPT still ranks first.
More importantly, users are becoming more willing to migrate. As long as another assistant is more convenient in a specific scenario, users will immediately shift their time to another product.
The main competitors pulling ChatGPT's share below 50% are Gemini and Claude.
By the end of May, Gemini's global share reached 27.7%, and Claude reached 10.3%. Products like Grok, Perplexity, DeepSeek, Meta AI, and others still each hold less than 5%, but they are also continuously squeezing the remaining market.
Gemini's growth is easy to understand. It is backed by Google's complete ecosystem. Search, Gmail, Docs, Calendar, Android are natural entry points. When AI is embedded into tools users use daily, many ordinary users don't need to open another webpage or summon ChatGPT.
Especially after Gemini 3.0 was released, Google also achieved its first truly significant victory, officially entering the AI arena and gaining more mainstream user attention.
Claude's path is more like a victory of productivity products.
It doesn't have Google's distribution system, but it has built a strong reputation in scenarios like writing, coding, long-text processing, and complex task collaboration. Sensor Tower states that Claude is approaching ChatGPT's user retention levels. For heavy users, AI assistants have moved beyond toys and are beginning to truly impact work efficiency.
A more subtle change is that when users evaluate AI products, they are no longer just looking at model capabilities. As AI assistants gradually acquire personality-like interaction features, users also start discussing work, emotions, judgments, and decisions with them. Brand trust, value orientation, and institutional relationships may become part of users' choices.
Even a tiny bit of public opinion turbulence can trigger a massive wave of uninstallation. This is something OpenAI CEO Sam Altman has experienced deeply over the past year.
AI companies used to believe that as long as the model was stronger, users would stay. The reality in 2026 is much more complex. Capabilities, ecosystems, prices, scenarios, and brand trust are all jointly determining whether an assistant can be continuously used.
Free lunch is over; AI applications are starting to talk money
Beyond market share, another set of data from the Sensor Tower report better illustrates the industry's phase change: AI applications are still growing, but the logic of growth has changed.
Sensor Tower estimates that in the first half of 2026, global downloads of AI applications will approach 2.3 billion, with in-app spending exceeding $4.2 billion. In comparison, in the first half of 2025, in-app spending on AI apps was $1.83 billion.
Users are still downloading AI apps and willing to pay for AI.
But both download and spending growth rates have slowed, and the industry has shifted from rapid expansion to a more realistic competitive stage.
Manufacturers can no longer just talk about user growth; they must prove they can turn traffic into revenue. Regional differences are also emerging. Asia remains the largest market for AI app downloads, but in Q1 2026, there was a 3.3% decline for the first time, mainly due to markets like India.
In contrast, North America and Europe are stronger in in-app spending. For AI companies, the real determinant of business models is often purchasing power; device scale only solves part of the problem. The trend in the U.S. market is more obvious. Users are applying AI assistants to productivity tasks and are more willing to pay for advanced features.
Claude performs particularly well here. Sensor Tower reports that Anthropic has a 13% subscription rate, leading the industry in conversion. This 13% subscription rate explains why Claude continues to expand its presence amid giants' competition.
As long as AI can help users save time, code, organize documents, handle complex tasks, monthly subscriptions of twenty or even two hundred dollars are within acceptable range. ChatGPT's commercialization path is more diverse and controversial. Sensor Tower states that since February this year, OpenAI has been testing ads within ChatGPT and gradually expanding ad display scale and user coverage.
By May, an average of 17% of users see ads daily. Software and shopping are currently the largest advertising categories, followed by media, entertainment, and food & beverage.
From subscriptions to ads, ChatGPT is moving toward a more typical internet business model. Early users were familiar with a clean chat interface, an entry point imbued with the imagination of general artificial intelligence (AGI).
Unfortunately, even the smartest AI on this planet ultimately cannot escape the fate of becoming a shopping guide.
For OpenAI, ads and shopping have become necessary experiments. Now, this gateway also begins to carry advertising, shopping, recommendations, and transaction conversions.
Model inference, training, and computing costs are extremely expensive; relying solely on subscription revenue makes it difficult to cover long-term investments. Ads and shopping are becoming the next pieces of the ChatGPT monetization puzzle.
As AI begins to penetrate core scenarios like shopping, office work, and search, the idea of AI becoming a unified super gateway is also facing increasingly tangible platform boundaries. Sensor Tower estimates that in the first half of 2026, total usage time for AI applications will grow from 17.2 billion hours last year to about 36 billion hours.
Among them, the top three AI assistants account for 89% of total AI assistant application usage time.
Later entrants still have opportunities, but more chances lie in dispersed scenarios such as AI companions, content generation, and vertical industry tools. The main battlefield for general assistants has already been largely occupied by ChatGPT, Gemini, and Claude.
Farewell to the altar, AI moves into daily life
The decline in ChatGPT's share occurred at a somewhat paradoxical time: OpenAI's revenue is still growing rapidly, user numbers are still expanding, and capital reserves far surpass most startups. According to The Information, documents disclosed to shareholders show that OpenAI spent $3.7 billion in cash in Q1, exceeding half of its $5.7 billion revenue.
Cash burn and revenue both doubled compared to the same period last year.
This is also a common challenge faced by the current AI industry. Users and revenue continue to grow, but enormous investments are needed to sustain model training, inference services, and infrastructure.
Moreover, OpenAI estimates that cash burn could reach $25 billion in 2026 and further rise to $57 billion in 2027. Even though OpenAI has secretly filed for an IPO, the timing may still be adjusted based on market conditions.
In other words, as one of the world's strongest AI brands, OpenAI still faces a key question: as models become more expensive, competition intensifies, and user migration becomes easier, how high can ChatGPT's profit margin be in its business model?
However, even if ChatGPT's share drops below 50%, it remains the largest AI assistant globally and the most frequently mentioned name when discussing AI. But this milestone is symbolic. The AI assistant market has already bid farewell to the era of single products defining the industry. In the past, ChatGPT was responsible for convincing the public that AI could change the internet.
Now, Gemini, Claude, Grok, DeepSeek, and various vertical AI assistants are jointly dividing users' time, scenarios, and revenue.
User needs are also subtly changing.
Today, you probably no longer just want AI to write poems or tell jokes; instead, you start demanding it to code with fewer errors, process documents more accurately, facilitate office collaboration, and offer more reasonable subscription prices.
When a technology stops astonishing repeatedly and begins to be scrutinized, compared, and replaced, it truly enters everyday life.
ChatGPT has lost its half of the market share, but AI is beginning to truly win the whole world.
In this new world, there are no eternal kings—only us, always ready to migrate for better tools.
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