学习，重塑：加速人类与人工智能的协作

between humans and AI Contents Authors Leila YosefSenior Principal,Accenture Research Stephen WroblewskiManaging Director,Talent & Organization Prof. Majd Sakr Kishore DurgAccenture LearnVantage Lead Karalee Close Chief Learning and Research Officer,Accenture LearnVantage Global Talent & Organization Lead Leila is a Senior Principal in AccentureResearch, driving global thoughtleadership at the intersection oftechnology, workforce strategy andorganizational change. She examineshow emerging technologies and shiftinglabor dynamics are transformingthe way people work, learn and lead. Majd is the Chief Learning & ResearchOfficer at Accenture LearnVantage,where he is responsible for settingand executing the company's learningstrategy and fostering a culture ofcontinuous learning and innovation. Hebrings his expertise in workforce trainingand technology-enhanced learning todrive thought leadership in learning anddevelopment. Concurrently, Majd isalso a faculty member in the computerscience department at Carnegie MellonUniversity, where he carries out researchin workforce training. Majd has been atCarnegie Mellon for 19 years. Karalee is Accenture's Global Lead forthe Talent & Organization practice,overseeing a comprehensive rangeof services that help clients drivegrowth, enhance productivity andmake work more meaningful. Asa member of Accenture's GlobalManagement Committee, she isresponsible for setting the strategicdirection for the practice anddriving its global agenda. Karalee isdedicated to helping clients unlockhuman ingenuity by connectingpeople and technology and designingorganizations that thrive in a rapidlychanging environment. Kishore is the Global Leadof Accenture LearnVantage,a comprehensive learning servicedesigned to help organizations reskilland upskill their workforce for the AIeconomy. He also serves as the GroupOperating Officer of Technology atAccenture, leveraging his extensiveexperience in the technology industryto drive growth and innovation. Stephen is Accenture's Global Leadfor Talent Transformation, helpingclients build future-ready workforcesby reinventing work and planningfor the hybrid talent needs of theirorganizations. He focuses on buildingdepth across workforces and makingwork more meaningful and centeredon value creation, with a practicalapproach shaped by his experiencein hospitality and retail operations. Introduction Beyond training:Unlocking the human +AI learning advantagefor your workforce We are living in an incredibly interestingera: For the first time in history, people havedeveloped accessible technologies that canlearn and grow in dialogue with those whouse them. In the workforce of the near future,these technologies—in the form of AI andgenerative AI (gen AI) agents and systems—won’t just respond to direction. They will beable to reason, plan and act autonomously,and therefore, they will be able to collaboratecontinuously and even guide others to igniteinnovation and improve business performance. disruption, it will play an essential role in ensuringoperational continuity by helping people developthe skills and confidence to adapt quickly. The potential of this new relationshipbetween people and technology to createbreakthrough value is stunning. The pace atwhich organizations realize that potential willbe determined by how quickly and well theycan prepare their people to engage. Thiswill not be about layering new training ontotraditional methods. Success will dependupon an organization’s ability to reinventlearning itself. Research snapshot To understand what it takes to make co-learningreal, we conducted a survey of 14,000 workersand 1,100 executives across 12 countries, and40 in depth expert interviews. The researchfound that organizations creating four conditionsunder which co-learning can thrive are alreadyreaping marked and measurable benefits. Theyare achieving 5x higher workforce engagement,4x faster skill development, 2x higher confidencein adapting daily work habits to collaboratewith gen AI and 8x more trust in leadership.They are also 4x more likely to innovate nearly2x more likely to improve productivity year-on-year and 1.4x more likely to report year-on-yearprofitability increases. Our global study spanned 14,000 workersand1,100 executivesacross To that end, we believe organizations needto encourage and support a process calledco-learning to realize the full promise of genAI in a hybrid workforce. Co-learning is whathappens when people teach technologyand simultaneously learn from it, applyingthe knowledge they gain in a continuous cycle.More specifically, it means learning throughpartnership, where the technology adaptsto an individual’s needs and improves withevery interaction. Technology learns whento guide, when to listen and when to stepback, supporting a continuous, personalizedfeedback loop. Critically, it does this inthe flow of work, on the job, helping peoplesolve problems, while also improving its ownfluency and intuiti