AI智能总结
Table of Introduction03 Pillar I: The Future of Working AI Impact Approaches: AI Upgrade vs. AI Overhaul06Work Redesigned: AI Maximalist vs. Symbiotic Strategist07Digital Hearts, Human Needs: The Synthetic Teammate vs.The Fit-for-Purpose Tool-mate08The Great Cognitive Shift: The Offload Effect vs. The Amplification Effect09Preparing for the Future of Working10 Pillar II: The Future of the Workforce Early Talent in Peril: Growth Through Gigs vs. Home-Grown Development People Leaders at a Crossroads: AI as Coach vs. Manager as Mentor The Third Career Act: The Fractional Advisor vs.The Organizational Memory Architect16 Preparing for the Future of the Workforce18 Pillar III: The Future of Work Practices19 Conclusion About the Future of Work Research Lab Introduction The future of work will not be defined by a singlepath. Powerful driving forces – from AI and othertechnology advancements to macro-economicvolatility and population demographic shifts – arereshaping work at an unprecedented pace andpushing us toward multiple possible futures.Against this backdrop of external disruption, aparallel challenge is emerging inside organizations,as employees grapple with a growing sense ofdisconnect from their employers. As highlighted in Driving forces shaping the future of work AI & technology advancements Rapid breakthroughs in AI and digital tools are reshapinghow work gets done, from automating tasks to executing Macro-economic volatility Unstable markets, rising costs, and global tensions are creatinguncertainty, leading many organizations to cut spending, delay Population demographic shifts Longer lifespans, declining birthrates, and multi-generationalworkforces are transforming talent supply, career paths, and This is our starting point: a landscape defined asmuch by external forces as internal turmoil. In thisenvironment, HR has a rare and urgent opportunityto act as the architect of what comes next – shapingnot just processes, but the very meaning, experience,and value of work. To do so requires a clear viewof the possibilities ahead and the different paths Methodology Our future of work predictions were developedthrough a multi-step process combining early signaldetection, structured foresight techniques, and We analyzed early signs of change based on our reviewof357 business press commentary and secondaryresearch articlesrelated to social, economic, andworkforce dynamics, validated them through aglobalsurvey of 8,058 employees, and applied the Future •Pillar I: The Future of Workingexplores how AI will reshape the very nature of jobs and tasks,disrupting and redesigning roles while also Across the three pillars, we outline a total often predictions. Each prediction is paired withtwo scenarios (“Future 1” and “Future 2”) thatillustrate diverging paths the future might take.We then intentionally follow Future 2 forward, as it •Pillar II: The Future of the Workforceexamines who will perform this new work, highlighting theimplications of demographic shifts, the evolvingprofile of a “successful worker,” and specific •Pillar III: The Future of Work Practices considers how HR practices will adapt as AIfundamentally alters how talent is identified, This is HR’s opportunity: to turn these possiblefutures from provocation to practice and toshape a future of work where both people and Pillar I:The Future of Working Explores how AI will reshape the very nature of work, disrupting rolesand impacting how humans think and collaborate AI Impact Approaches To date, the broad promise of AI’s impact on business outcomes has been largely realizedin one way: time savings. How will this efficiency-first approach evolve in the future? AI scales into a future of productivity Work Redesigned Today, most organizations are introducing AI incrementally, but exponential change will require fundamentallyreconsidering what work should be done and how. The inevitability of work redesign is clear, but how will it unfold? Digital Hearts, Human Needs The Fit-for-Purpose Tool-mate: The Great Cognitive Shift Humans are increasingly relying on AI for critical thinking work.How will working with AI on cognitively demanding tasks re-shape how humans think? AI is used to amplify human cognition AI Impact Approaches:AI Upgrade vs. AI Overhaul To date, the broad promise of AI’s impact on business outcomes has largely been realized in one way: timesavings. AI adoption remains concentrated in narrow use cases that deliver time savings and faster executionof existing tasks. According to our research, employees now save an average of75 minutes per dayusingAI at work – an increase of23 minutesfrom the start of 2025 – and C-suite executives consistently rank Future 1:AI Upgrade research found that two thirds say it is their primary goal,and on average, they expect AI will make them nearly 3x moreproductive in the next five years. In industries where scale,speed, and standardization dominate, these gains can bet