
The 10th International Forum of Tibetan Think Tanks was held in Beijing, and a new book "Digital Intelligence in Tibet: Sharing and Development" was released
AI-generated summary
Tibet faces high infrastructure construction costs due to natural challenges such as high temperatures and lack of oxygen. At present, through the promotion of national policies, full coverage of optical fiber broadband and 4G networks in administrative villages has been achieved.
China News Service, Beijing, November 10 (Reporter Huang Xinxin and Zhang Yangbin) Kelsang Dolma, deputy director and researcher of the Institute of Social and Economic Research of the China Tibetology Research Center, pointed out in Beijing on the 10th that Tibetan digital intelligence applications have crossed the access threshold and entered the stage of use and profit.
On the same day, the 10th International Forum of Tibetan Think Tanks and the launch of the new book "Digital Intelligence in Tibet: Sharing and Development" were held in Beijing. At the scene, Kelsang Dolma shared his observations on how digital intelligence technology empowers Tibet’s industrial development, people’s livelihood improvement and governance modernization.
Tibet is located in the southwest border of China and faces natural challenges such as high temperatures, hypoxia, widespread frozen soil, and high infrastructure construction costs. By the end of 2025, the optical fiber broadband and 4G network accessibility rates in administrative villages here have increased to 100%, and 94% of administrative villages have access to 5G networks.
"Natural conditions determine not whether it can be done, but at what cost." Kelsang Dolma said that Tibet's population density is far lower than the national average, but it can achieve full coverage of optical fiber broadband and 4G networks in administrative villages. This is essentially due to the unique development path of institutional supply first and market forces following up. Driven by national policies such as universal service compensation and counterpart assistance to Tibet, the current development of digital intelligence in Tibet has achieved "equality at the access end."
"This provides a technical foundation for industrial development and improvement of people's livelihood." Kelsang Dolma said that the results of digital intelligence empowerment have been seen in many fields such as Tibet's industry, people's livelihood, and governance.
At the industrial level, intelligent transformation has helped reduce costs and improve efficiency in production scenarios, and e-commerce channels have allowed Tibetan specialties to directly connect to the national market; at the people's livelihood level, high-quality medical and educational resources that used to have to be driven hundreds of kilometers to obtain can now be accessed at the township level through remote systems; at the governance efficiency level, grassroots government services and policy propaganda have also taken advantage of the digital intelligence express, allowing people to travel less errands and more information.
Kelsang Dolma mentioned that the benefits brought by the development of digital intelligence are directly in the hands of farmers and herdsmen. The smart livestock system wears electronic tags on yaks, reducing the livestock loss rate and increasing breeding output; through the intelligent logistics network, Tibetan specialty agricultural products are sold outside the region... "When a herdsman can start his own live broadcast and do e-commerce, he is no longer just a target of assistance, but an operator in the market. This change in professional identity is extremely important."
Kelsang Dolma believes that digital intelligence technology has brought not only new industrial forms and new growth momentum to Tibet, but also improved people’s livelihood and social harmony. In the future, supporting support should be further improved to allow digital dividends to benefit the Tibetan people more extensively and stably.

As the technological competition between China and the United States intensifies, technology giants such as OpenAI have strengthened anti-espionage training. At the same time, the media revealed that Alice Huang was suspected of transporting Nvidia chips worth US$7.5 billion to China through her company network, triggering deep concerns about the safety and supply chain compliance of technology executives.

Google launched the Chinese version of Gemini shopping function in Taiwan, which uses AI and shopping map technology to help consumers describe their needs through conversations and quickly obtain product recommendations, price comparison tables and specification analysis, greatly simplifying the cross-platform search and decision-making process.

Researchers in China have developed a new optical fiber that replaces the traditional solid glass core with air, successfully reducing data transmission delays by approximately 30 percent over a distance of 1,000 kilometers.

The Chongqing Municipal State-owned Assets Supervision and Administration Commission released a list of artificial intelligence applications for municipal state-owned enterprises in 2026, including 52 scenario opportunities and 34 scenario capabilities. At the meeting, 15 technological innovation and artificial intelligence projects were signed, aiming to create a highland for artificial intelligence innovation and application through scenario-driven technological research.

Shanxi Province proposed the "15th Five-Year Plan" water conservancy digital transformation plan at a press conference. By building a digital twin water conservancy system and using "one network, one picture, and one platform" to realize intelligent water resource simulation, dispatch rehearsal and full life cycle management, it aims to improve the level of water control and revitalization.
Beijing October College of Literature held a seminar on "Literature and Art in the Dual-Based Era". Many experts discussed the impact of artificial intelligence on literary creation, artistic production, copyright ownership and human subjectivity, and examined the changes in literary evaluation standards in the AI era.