Artificial intelligence scene era, when the user can feel

**Original Title: AI's Scenario Times: How Far Is Strong Artificial Intelligence?** *Image: [Link to image](http://i.bosscdn.com/blog/f6/75/7f/d8505d5f1624a1f18893366edb.jpeg)* Reporter Yang Qingqing reports from Beijing. In 2017, the biggest transformation in the science and technology field was hard to ignore—artificial intelligence (AI). Whether it was the discussions around AI during the two sessions or Baidu unveiling its AI capabilities and announcing the mass production of L4 autonomous vehicles for 2018, or Tencent launching an AI medical imaging product and Alibaba’s ET City Brain, all were tied to AI advancements. The public may not have noticed the changes yet, but the industry was already moving fast. As interest in AI grew, so did government support. In March 2017, AI was included in the Chinese government’s work report for the first time. Then, in July, the State Council released the "New Generation of Artificial Intelligence Development Plan," setting a vision for China’s AI development by 2030. By December, the "Three-Year Action Plan for the Development of the AI Industry" was announced, highlighting four key areas, including intelligent networked vehicles, service robots, drones, and medical diagnostic systems. Yet, for many people, the impact of AI on daily life remained subtle. Smart speakers were available online, but cars still required manual driving, and voice navigation often made mistakes. Traffic jams persisted, and smart city projects like the ET City Brain had yet to make a noticeable difference in daily commutes. “There isn’t much change,” said drivers and passengers interviewed by the 21st Century Business Herald. If AI is indeed the future, how close are we to that reality? According to PricewaterhouseCoopers, AI could contribute $15.7 trillion to global GDP by 2030, surpassing the combined economies of China and India. By 2035, AI could boost global labor productivity by 40% and increase GDP by 14%. China is pushing forward with its own plans. In November, the Ministry of Science and Technology announced the first national AI open innovation platforms, led by Baidu, Alibaba Cloud, Tencent, and HKUST, focusing on autonomous driving, city brains, medical imaging, and intelligent voice. Li Jingmei, head of Alibaba Cloud’s ET City Brain, explained that these platforms aim to foster collaboration across research institutions and companies, not just local governments. In Hangzhou, the ET City Brain has reduced travel times by 15.3% at 128 intersections and improved accident response accuracy to 92.3%. Smart voice applications are also advancing. HKUST reported over 1.5 billion terminals and 4 billion daily interactions on their platform. Liu Qingfeng, chairman of HKUST, emphasized that voice will be a key gateway to the Internet of Everything and a critical step toward true machine intelligence. Baidu’s Apollo project aims to launch the first driverless micro-bus in 2018, targeting restricted areas such as parks, airports, and scenic spots. This marks progress toward Baidu’s 2015 promise of commercial use in three years. Meanwhile, Tencent’s AI medical imaging system has achieved over 90% accuracy in detecting esophageal cancer and 95% in lung nodules. While AI is spreading across industries, the question remains: which sector will drive the next wave of commercial growth? According to CCID Consulting, the core AI market in China exceeded RMB 70 billion in 2017, with hardware products dominating. However, sectors like customer service, voice processing, and medical imaging are already showing maturity. Experts like Li Lan from Microsoft believe these areas are the most accessible and visible today. Others, like Xiang Yang from CCID Consulting, see potential in service robots and the unmanned industry, where demand is clear and ecosystems are forming. Despite optimism, challenges remain. L4 autonomous vehicles still face technical, ethical, and regulatory hurdles. High energy consumption, data labeling issues, and fragmented smart city systems continue to slow progress. As one insider noted, “The path to commercialization is long and full of obstacles.” Nonetheless, AI is no longer a distant dream—it’s shaping the present and preparing for the future.

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