根据IBM委托Morning Consult进行的《2023年全球AI采用指数》报告显示，中国企业在人工智能（AI）的应用上展现出全球最高的热情。高达85%的中国企业表示，他们将在未来加速AI技术的采用，这一比例在全球范围内独占鳌头。
报告揭示，中国的AI采用率已将中国置于全球“第一阵营”，显示出中国企业在数字化转型和技术创新上的积极态度。然而，这一进程并非毫无挑战。技能不足和数据治理问题被指出是阻碍企业全面落地AI技术的关键因素。这些问题在全球范围内也具有普遍性，大约40%的企业仍处于AI的探索和试验阶段，尚未能够将AI能力转化为实际业务应用。
尽管面临挑战，但中国企业对AI的热忱不减，这预示着未来中国在AI领域的领先地位可能会进一步巩固。随着技术的不断发展和人才储备的提升，中国企业有望克服现有障碍，将AI技术更好地融入业务流程，驱动产业升级和经济效能的提升。这一趋势也对全球AI市场的发展格局产生了深远影响。
英语如下：
**News Title:** “China Leads Global AI Adoption with 85% of Firms Accelerating Deployment, Facing Skill Gaps and Data Governance Challenges”
**Keywords:** AI adoption rate, China’s lead, skill and data challenges
**News Content:**
**Title:** Chinese Companies Lead the World in AI Adoption, with 85% Planning to Speed Up Deployment
According to the “2023 Global AI Adoption Index” report commissioned by IBM and conducted by Morning Consult, Chinese businesses exhibit the highest enthusiasm globally for the application of artificial intelligence (AI). An impressive 85% of Chinese companies have stated their intention to accelerate AI adoption in the future, a figure unmatched internationally.
The report reveals that China’s high AI adoption rate places the country at the forefront of global adopters, demonstrating the proactive stance of Chinese enterprises in digital transformation and innovation. However, this process is not without challenges. Skill shortages and data governance issues have been identified as key obstacles to the comprehensive implementation of AI technologies. These issues are also prevalent globally, with approximately 40% of businesses still in the exploration and experimentation phase of AI, unable to translate AI capabilities into practical business applications.
Despite these challenges, Chinese companies remain fervent about AI, suggesting that China’s leadership position in the AI domain is likely to strengthen further in the future. As technology advances and talent pools expand, Chinese businesses are poised to overcome existing hurdles and integrate AI more effectively into business processes, driving industrial upgrading and enhancing economic efficiency. This trend is also having a profound impact on the global AI market landscape.
【来源】https://www.jiemian.com/article/10933633.html
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