2025人工智能赋能下的全球知识工作者工作方式变革研究报告

Working Group Introduction With the rapid advancement of artificial intelligence (AI), industries are undergoing profoundtransformations in how work is conducted globally. For knowledge workers, the integration of AI is not According to the recent research conducted by the Harvard Business School’s Institute for Tech-nology & Operations Management and the Boston Consulting Group, consultants who leveraged AI Microsoft CEO Satya Nadella has also emphasized that AI will transform knowledge work, but notreplace it. He believes that AI will collaborate with humans, enabling new workflows and redefining While AI is profoundly reshaping the way knowledge workers operate, it also introduces new chal-lenges related to professional skills, ethics, and privacy. Therefore, conducting an in-depth study As a leading company dedicated to knowledge management and AI applications, Yinxiang Biji hasleveraged its years of expertise in tracking global knowledge workers and best practices in knowledgeworkflows. This research report, jointly released by the Yinxiang Biji Research Institute and the World Contents Knowledge Workers in the Artificial Intelligence Era（I）The Evolution of the Knowledge Worker’s Role（II）The Transformation of Knowledge Work Methodologies（III）The Evolution of Tools for Knowledge Worker（IV）The Symbiotic Evolution of Knowledge Workers,Productivity Tools, and Work MethodsThe Transformation of Knowledge Work in theArtificial Intelligence Era（I）A New Landscape for Knowledge Work（II）Leveraging AI to Improve Data Processing EfficiencyIntroduction I.Knowledge Workers in theArtificial Intelligence Era （Ⅱ）The Transformation ofKnowledge Work Methodologies （I）The Evolution of theKnowledge Worker’s Role As the role of knowledge workers evolves, thenature of knowledge work itself is also changing. Tradi-tional knowledge work has been based on the DIKW The concept of the "knowledge worker" was firstintroduced in the 1950s by Peter Drucker, a pioneer inbusiness management1. He defined knowledge workers 1.Data:Data refers to raw, unprocessed facts andfigures that lack context. While they form the foundationof information, data itself does not carry direct value. Over the past few decades, advancements in infor-mation technology and globalization have significantlytransformed the identity and role of knowledge work-ers. Initially limited to researchers and engineers, the 2.Information:When data is organized, processed,and given context, it becomes information. Informationis meaningful and can be used to answer questions such 3.Knowledge:Knowledge is the ability gainedthrough experience, learning, and understanding, builtupon information. It answers the question "how" and In the artificial intelligence era, the identity androle of knowledge workers have once again undergonea transformation. Many repetitive and rule-based tasksno longer need to be performed by humans, shifting thefocus of knowledge workers towards more creativedomains. They are now required to possess a broader 4.Wisdom:Wisdom is the ability to make sounddecisions based on knowledge, combined with values,judgment,and experience.It answers"why"and Thedevelopment of artificial intelligence hasopened new possibilities for each stage of the CODEmethodology. For Capture, AI can automate the processofselecting and gathering information from vastamounts of data, significantly enhancing the efficiencyand accuracy of information retrieval. For Organization, Enteringthe 21st century and experiencing therapiddevelopment of the information technology,knowledgework methodologies have become more TheCODE methodology provides a systematicframeworkto help knowledge workers effectively 1.Capture:Knowledge workers need to gatherrelevant data and materials from vast information sourc-es. The CODE methodology emphasizes a systematic 2.Organize:The captured information must beeffectively organized for easy retrieval and application. （III）The Evolution of Tools forKnowledge Worker Knowledge work revolves around the acquisition, processing, analysis, and application of information,and productivity tools focusing on information process-ing has played a crucial role in the daily work of knowl- 3.Distill:Extracting core insights from a largevolume of information to form knowledge is a crucial 4.Express:Effectively communicating the distilledknowledge to others is a key skill for knowledge workers.The CODE methodology encourages expressing knowl- Based on the functionality and application scenari-os, productivity tools can be categorized into word pro-cessing, spreadsheets, presentation software, emailclients, project management, note-taking and knowl- The evolution of productivity tools can be viewedthrough several stages: （IV）The Symbiotic Evolution ofKnowledge Workers, ProductivityTools, and Work Methods Mechanization Stage:In the early 20th century,toolssuch as typewriters and calculators emerged, In the age of artificial intelligence, knowledge