近日，微软发布了年度工作趋势指数报告，其中的一组数据令人瞩目：已有75%的知识工作者在工作中使用生成式AI，而在过去的六个月中，这一数据翻了一番。
知识工作者，主要是指那些主要依靠知识和信息进行工作的人，例如研究员、设计师、程序员等等。他们的主要工作工具，已经从传统的文本、表格、图像等，扩展到了AI。
报告中还提到，有41%的领导者正在试图以AI为中心，从零开始重建整个业务。而60%的领导者则在担心，自己的公司缺乏对AI的重视，以及公司融入AI的计划和愿景。
这表明，AI已经成为企业发展的一个重要因素，而企业对于AI的应用，也已经从尝试和探索，转向了全面的应用和推广。
微软的工作趋势指数报告，是基于大量的研究和数据分析得出的，它不仅反映了当前的工作趋势，也预测了未来的发展方向。
AI的应用，无疑将会改变我们的工作方式，提高我们的工作效率。但同时，也需要我们对于AI有更深入的了解，更合理的应用，以及更好的管理。
在未来，我们将如何应对AI带来的挑战和机遇，如何让AI更好地服务于我们的工作和生活，这都需要我们深思。
英语如下：
**News Title: Microsoft Report: Trends in the Work of Knowledge Workers**
Keywords: Doubling of AI usage, knowledge workers, Microsoft report.
**News Content:**
# Microsoft Releases Work Trend Index Report: Knowledge Workers Widely Use Generative AI
Recently, Microsoft released its annual Work Trend Index report, which included a striking set of data: 75% of knowledge workers are already using generative AI in their work, and this number has doubled in the past six months.
Knowledge workers are mainly those who rely on knowledge and information to carry out their work, such as researchers, designers, programmers, and more. Their main work tools have expanded from traditional text, tables, images, to AI.
The report also mentions that 41% of leaders are trying to rebuild their entire business around AI from scratch. Meanwhile, 60% of leaders are concerned that their companies lack attention to AI, as well as plans and vision for integrating AI.
This indicates that AI has become an important factor in the development of enterprises, and the application of AI by companies has shifted from experimentation and exploration to comprehensive application and promotion.
Microsoft’s Work Trend Index report is based on extensive research and data analysis, reflecting not only the current work trends but also predicting future directions.
The application of AI will undoubtedly change our way of working and improve our work efficiency. At the same time, it requires us to have a deeper understanding, more rational application, and better management of AI.
In the future, how we will respond to the challenges and opportunities brought by AI, and how we can better serve our work and daily life with AI, are issues that require deep reflection.
【来源】https://www.ithome.com/0/766/587.htm
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