China Leads the World in Adoption of Generative AI
The global leader of introducing generative AI: General surprise has probably gone – something alluded to by the headlines culminated in the recent world poll as China leads. It shows the kind of progress China has made in this technology that rose to fame globally when OpenAI launched ChatGPT towards the end of 2022.
Methodology: The SAS-commissioned survey was conducted by U.S. AI and analytics software provider Coleman Parkes Research. The survey involved 1,600 decision-makers from several industries around the world.
High Adoption Rate:
China: 83% of respondents in China reported using generative AI.
United States-65% of respondents indicated adoption
On a global basis, 54% of those surveyed are using generative AI.
Industries surveyed: The survey was conducted across the banking, insurance, healthcare, telecommunications manufacturing retail and energy sectors.
Rapid Progress:
After the launch of OpenAI’s ChatGPT, the development and utilization of generative AI in China has progressed rapidly.
Numerous Chinese companies have trained their version of generative AI
Patent Leadership:
The data comes from a report issued by the United Nations’ World Intellectual Property Organization, which notes that Chinese companies have filed more than 38,000 generative AI patents between 2014 and 2023.
For the same period, filing in the US was 6276 patents.
Domestic AI industry: China has been able to build a powerful and pervasive domestic AI market, even as restrictions have made it more difficult for the country to access ports from international generative services such as OpenAI. That has made room for some of the biggest contributors to come out of tech giants like ByteDance and startups like Zhipu.
Future Trends:
Generative AI could see more enterprise adoption in China
Businesses are likely to benefit from the costs of large language model services becoming even less costly as a price war could ensue.
Leading in CAM:
The SAS report also noted that China continues to lead in continuous automated monitoring (CAM).
Both what you have done and the information that is involved in your CAM activity are analyzed.
Privacy Concerns:
Privacy issues: The collected data may or may not be publicly available, so the user might use CAM without even being aware of it.
Udo Sglavo, vice president for applied AI and modelling at SAS, said he’s concerned about the transparency and accountability of CAM systems’ algorithms.
Strategic Implications: China’s gains in CAM and generative AI look very much intentional, relatively speaking — as a reflection of its larger goal to become the globe’s top power in artificial intelligence and surveillance technologies.