2026大转型报告：AI释放美国一线劳动力潜能 开启发展新时代

deputy Contents Contents Introduction Data analysis The US economy Human-centered industries are driving job growth The shift workforce has changed hands to Gen Z Automation and hiring in shift work industries Shift worker experience in the era of AI Shift workers want healthy AI boundaries The emergence of poly-resistance and poly-advantage Shift worker trends by cities and regions Public sector impact on shift worker jobs The night-time economy Retail industry Hospitality industry Healthcare industry Services industry Contributors3 4 5 7 10 14 16 18 20 23 24 26 29 39 48 58 68IntroductionData analysisThe Us economyHuman-centered industries are driving job growthThe shift workforce has changed hands to Gen ZAutomation and hiring in shift work industriesShift workerexperience in the era of Al16Shift workers want healthy Al boundaries18The emergence of poly-resistance and poly-advantage20Shift worker trends by cities and regions23Public sector impact on shift worker jobs24The night-time economy26Retail industry29Hospitality industry39Healthcare industry48Services industry58Contributors68 IntroductionIntroduction Across the United States, the industries that keep communities running, healthcare, hospitality,retail, and services, are entering a structural transformation. AI is at the center of it. Across the United States, the industries that keep communities running, healthcare, hospitality, Much of the public narrative around AI has focused on displacement. But that framingmisses what is actually happening across shift-based work. In frontline industries, the issueis not job elimination. It is operational redesign. Much of the public narrative around Al has focused on displacement. But that framingmisses what is actually happening across shift-based work.In frontline industries, the issueis not job elimination. It is operational redesign. For nearly two decades, we have had a front-row seat to how work is organized acrosscomplex, regulated, high-volume environments. What we are seeing now is not replacementof frontline roles. It is the re-architecture of how those roles are supported, scheduled,coordinated, and scaled. Fornearlytwodecades,wehavehad afront-row seattohow work is organized acrosscomplex, regulated, high-volume environments. what we are seeing now is not replacementof frontline roles. It is the re-architecture of how those roles are supported, scheduled,coordinated,andscaled. AI is increasingly embedded in the operational backbone of these industries. In hospitals,it reduces documentation burden and improves patient coordination. In restaurants,it enables demand forecasting and staffing precision. In retail, it strengthens inventory andworkforce alignment. In services, it enhances care coordination and workforce planning.The throughline is clear. AI is compressing administrative overhead and expandingmanagerial capacity. Alis increasingly embedded in the operational backbone of these industries. In hospitals,it reduces documentation burden and improves patient coordination.In restaurants,it enables demand forecasting and staffing precision. In retail, it strengthens inventory andworkforce alignment. In services, it enhances care coordination and workforce planning.managerial capacity. For frontline leaders, this shift is profound. Less time spent on manual scheduling, compliancetracking, and reactive staffing. More time focused on coaching, performance, and customeror patient experience. Forfrontline leaders,this shift is profound.Less time spent on manual scheduling,compliancetracking,and reactive staffing.More time focused on coaching,performance, and customerorpatientexperience. At the same time, the workforce itself is evolving. Gen Z is rapidly becoming the dominantdemographic across shift-based industries. Expectations around flexibility, transparency,and autonomy are higher. Micro-shifts, dynamic scheduling, and poly-employment areno longer edge cases. They are emerging norms. Workforce systems built for a static,single-employer model are increasingly misaligned with how people actually want to work. At the same time, the workforce itself is evolving. Gen Z is rapidly becoming the dominantdemographic across shift-based industries. Expectations around flexibility,transparencyand autonomy arehigher.Micro-shifts,dynamic scheduling,and poly-employment arenolongeredgecases.Theyare emergingnorms.Workforcesystemsbuiltforastatic,single-employer model are increasingly misaligned with how people actually want to work. AI introduces both opportunity and responsibility. Algorithmic scheduling, hiring, andperformance insights must be transparent and explainable. Trust is not a soft variablein frontline industries. It is operational infrastructure. The next generation of workers expectsto understand how decisions are made and how technology shapes their livelihoods. Al introduces both opportunity and responsibility.Algorithmic scheduling, hiring, andperformance insights mustbe transparent and