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Survey Shows China Ahead of US in GenAI Adoption by a Significant Margin

China’s Leadership in Generative AI Technology: A Survey Highlights the Country’s Advancements

China Leads in Adoption of Generative AI Technology, Survey Shows

China has emerged as a frontrunner in the adoption of generative AI technology, with a recent survey by US AI and analytics software company SAS and Coleman Parkes Research revealing that 83 percent of Chinese decision-makers reported using generative AI. This significant percentage surpasses the global average of 54 percent and is notably higher than in other countries like the United States, where only 65 percent of respondents have embraced the technology.

The survey, which included 1,600 decision-makers from various industries worldwide, showcased China’s rapid progress in generative AI, particularly following the launch of OpenAI’s ChatGPT in late 2022. Industries represented in the survey included banking, insurance, healthcare, telecommunications, manufacturing, retail, and energy.

China’s advancements in generative AI have been further highlighted by the country’s robust domestic industry, despite restrictions on international generative AI service providers. Tech giants like ByteDance and startups like Zhipu have been instrumental in driving this growth, with competition in the market expected to drive down the cost of large language model services.

Moreover, a report from the United Nations’ World Intellectual Property Organization revealed that China filed over 38,000 generative AI patents between 2014 and 2023, significantly more than the 6,276 patents filed by the United States during the same period. This data underscores China’s leadership in the field and its commitment to becoming a global leader in artificial intelligence.

However, China’s advancements in generative AI also raise concerns, particularly in the realm of continuous automated monitoring (CAM) technology. This widely used but controversial application of generative AI collects and analyzes vast amounts of user data, often without the user’s knowledge or consent, leading to privacy concerns.

Udo Sglavo, vice president of applied AI and modeling at SAS, highlighted the challenges in holding entities accountable for CAM misuse due to the proprietary and opaque nature of the algorithms and processes involved. Sglavo noted that China’s advancements in CAM are part of its broader strategy to excel in artificial intelligence and surveillance technologies.

As China continues to make significant strides in generative AI, the global landscape of AI technology is expected to witness rapid evolution and increased competition. The country’s leadership in this field underscores its commitment to innovation and technological advancement.

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