Chinese AI Makes Big Moves at Paris Olympics

Chinese AI technologies are making a significant impact at the Paris 2024 Olympic Games, particularly through innovations developed by tech giant Baidu. Their AI-based training system is helping the Chinese national diving team perfect their techniques and secure more gold medals.

Baidu’s AI system, described as having “sharp eyes and a strong brain,” captures intricate details of diving movements that traditional video systems miss.

It provides immediate feedback and real-time analysis, allowing athletes to refine their performances.

This system, built on Baidu’s Ernie Bot AI model, is seen as a key tool for athletes like Quan Hongchan and Chen Yuxi, who won the women’s synchronized 10-meter platform diving event.

AI Transforming the Paris Olympics

Dubbed the “first AI Olympics,” Paris 2024 is showcasing AI’s influence across various domains, from athlete training to broadcasting and even anti-doping measures.

AI is being used to create highlight videos, monitor social media to protect athletes from abuse, and optimize energy management systems. Thomas Bach, President of the International Olympic Committee (IOC), highlighted how AI is helping to make the Games more sustainable and to detect new athletic talent.

The market for AI in sports is projected to grow significantly, from $6 billion in 2024 to $21 billion by 2029, according to research from Mordor Intelligence.

Chinese Companies Leading AI Innovations

Chinese tech companies like Alibaba Cloud and SenseTime are leading the charge in AI development at the Olympics.

Alibaba Cloud’s “bullet time” multi-camera replay system offers cinematic slow-motion views, enhancing viewer experiences across 21 sports.

This system, which replaces traditional satellite methods, improves broadcasting workflows and reduces the carbon footprint of the Games.

SenseTime is providing AI-driven data analysis for the Chinese basketball teams, helping analyze player movements and optimize game strategies.

Their InnoMotion broadcasting solution, which uses 3D motion capture technology, is being applied to table tennis and archery events, offering viewers enhanced visuals.

Virtual Athletes and AI-Enhanced Equipment

iFlytek has introduced “virtual athletes” at the China House pavilion in Paris, showcasing AI versions of Chinese Olympians Zhang Yufei and Zou Jingyuan. These digital athletes can engage with visitors in multiple languages, powered by iFlytek’s advanced speech recognition and multilingual AI technologies.

Chinese innovations extend to equipment as well. A “smart” soccer ball embedded with AI chips is being used to improve refereeing decisions in handball and offside calls.

This technology, developed by Huaian Butyl Ltd, has been used in major events like the UEFA European Championship and the Paris Games.

AI’s Broader Impact on Sports

The use of AI at the Paris Olympics illustrates its potential to revolutionize sports, improving both athlete performance and viewer experiences.

Chinese companies are positioning themselves as global leaders in AI innovations, leveraging the Paris Olympics as a platform to showcase their technological advancements.

Wang Peng of the Beijing Academy of Social Sciences noted that these AI applications demonstrate China’s strengths in digital technology and innovation, enhancing the future of sports on a global scale.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.