China’s AI boom is producing a new kind of summer itinerary. Teenagers are visiting technology companies, university laboratories, science centers, and robotics sites as part of study tours built around artificial intelligence. Xinhua reported on August 23 that bookings for AI-themed study tours rose 370% year on year during the 2026 summer vacation, citing travel platform Ctrip.
The increase is not merely a tourism statistic. It shows how AI education is moving outside classrooms and into the places where models, robots, and products are made. Parents and schools are treating access to technology companies and hands-on activities as part of an education response to a labor market that may look very different by the time students begin their careers.
Ctrip Data Shows a Sharp Rise in China’s AI-Focused Study Trips
Xinhua says the study-tour surge is tied to China’s AI Plus Education initiative, introduced earlier in 2026. The initiative encourages schools to extend AI learning through after-school programs and practical activities rather than leave the subject within standard coursework. AI camps and visits are giving that policy a consumer-facing form.
The travel activity has produced specific business responses. Xinhua quoted Zhu Ping, founder of a Nanjing travel agency, saying AI-related activities accounted for more than 80% of the itinerary on the company’s Shanghai-Hangzhou independent study tours. That is one operator’s experience, not an industry-wide percentage, but it illustrates why travel organizers are reworking programs around visits to technology companies.
The attraction is partly proximity. Shanghai and Hangzhou place students near large internet platforms, laboratories, hardware firms, and an ecosystem of AI applications. An itinerary can therefore combine a classroom explanation of a model with a demonstration of a robot, a product lab, or a company using AI in a commercial setting.
The trend complements longer-term changes in formal learning. EastFrontier’s report on iFlytek’s AI blackboards examined one attempt to introduce AI into everyday teaching. Study tours address a different question. They let students see where the technology comes from and test whether they can use it to make something themselves.
NetEase Camps and Shenzhen Projects Move Students From Users to Builders
Xinhua provides examples of that hands-on model. It describes an AI summer camp run by NetEase that changed the view of a Beijing middle-school student, Liang Yiduo, who had previously thought of large language models mainly as chatbots or simple tools. The camp presented them as assistants that could help people create solutions tailored to a task.
The source also describes a six-day Shenzhen camp in which students developed an AI-powered product from their own ideas. The value of that format is not that every participant will become an AI founder. It is that students are asked to identify a real problem, decide what an AI tool can contribute, and build a basic response rather than only consume an answer from a chat interface.
Other organizers are emphasizing hardware. Xinhua says Shanghai Qingbao Robot lets students assemble robotic arms and examine the joint designs that govern a robot’s shoulders and neck. Those activities connect AI with the physical systems that make robots operate, including movement, sensing, and design constraints.
That is especially relevant as China’s embodied-AI sector grows. EastFrontier recently covered Tongji and Hygon’s domestic AI cluster for engineering research, an example of how computing infrastructure is being connected to technical education and research. Study tours bring a much younger audience into that broader national effort.
The Study-Tour Boom Creates an Early AI-Literacy Test
A 370% rise in bookings does not tell us what students retain after a camp ends. It does show that families are willing to pay for direct exposure to AI, and that organizers see enough demand to add company visits and building activities to their programs. The challenge will be to ensure that the experience builds understanding rather than simply turning robots and model demos into a new form of sightseeing.
The better programs described by Xinhua offer a useful standard. Students should learn that a language model can assist with a task, but also that it can be wrong. They should see a robot move, but also understand that hardware depends on engineering choices and data. They should build a product, but also consider who will use it and what problem it solves.
China’s AI Plus Education initiative gives these programs a policy backdrop, while Ctrip’s data shows a market response. Together they suggest that AI literacy is becoming part of the country’s broader education and family-planning conversation. Students are not waiting for a future university course to encounter the technology. They are meeting it during the summer, often in the cities and companies driving China’s AI development.
That can widen access to inspiration, but it also creates an obligation for organizers. A study tour can provide an exciting first encounter with an AI system. It cannot replace sustained teaching in mathematics, computing, critical thinking, or ethics. The strongest programs will be the ones that use a memorable visit as the start of a longer learning path rather than the end of one.