增长差距：需求强劲但劳动力受限的行业

The impact of AI on thelabor market July 2025 Vlad Khaustovich Senior Industry Analyst | New York City Vlad Khaustovich is a senior research analyst located inIBISWorld’s New York City office. He holds a Bachelor's degree in Edited by Veronica Albarella Senior Editor | New York City Contents The Context of Change: Technology and Perception6 Understanding Technological Change and Labor MarketDisruption6Investment Surge and Public Perception8 Technical Reality: Current Limitations and Reasoning Limitations in AI SystemsBlack Box Problem: Understanding AI DecisionsData Quality and Availability Issues Implementation Barriers in Real-World Settings16 Security and Safety Considerations16 Regulatory Framework and Institutional Challenges17 Sector-Specific Compliance Requirements18 Legal Liability in AI Implementation19 AI Adoption Patterns: High Adoption, Modest Industry-by-Industry Analysis: Uneven Impact The Information Sector: High Exposure, Nuanced Labor Impact 29 Educational Services: Measured Integration and Institutional Professional Services: Measured AI Implementation Alongside Financial Services: Innovation Balanced with Risk Management 36 Retail Trade: E-commerce Focus with Limited Broader Impact Final word References Introduction frameworks forunderstanding both thecurrent landscape and the Over the past several years, surginginvestment in AI has sparked widespreaddebate about its potential to disrupt theworkforce and reshape society. While It examines the persistenttechnical challenges andinstitutional limitationsfacing AI, analyzes current Through detailed analysis of sectoral data,technical constraints and regulatory barriers,this paper argues that, while AI will continueto evolve and find applications across the 01 The Context of Change: Understanding Technological Change and The introduction of transformative technologies has historically generatedboth excitement and anxiety about their potential impact on work andsociety. From the mechanization of agriculture to the computerization ofoffices, each wave of technological change has prompted predictions ofwidespread job displacement that have often proven premature oroverstated. Today, artificial intelligence stands at the center of similardebates, with proponents arguing that we are on the cusp of a revolutionthat will fundamentally reshape the nature of work, while skepticsquestion whether current AI capabilities justify such dramatic predictions. To understand AI's likely impact on labor markets, it is essential toestablish what constitutes "labor market disruption" versus gradualtechnological change. True labor market disruption involves rapid,widespread displacement of workers across multiple sectors, leading to Historical precedent suggests that technological revolutions tend tounfold more slowly than initially anticipated. The steam engine, introducedin the late 18th century, took decades to achieve widespread adoption and 1920s. Even the computer revolution, which began in the 1960s, requiredseveral decades to achieve the productivity gains that economists This pattern of gradual integration reflects fundamental economicrealities about how new technologies diffuse through complex systems.Economists have identified several factors that typically slowtechnological adoption: the need for complementary investments in The theoretical framework for understanding AI's impact on labor marketsdraws heavily from the task-based approach developed by economistslike David Autor, Frank Levy and Richard Murnane. This frameworksuggests that technological change affects different types of tasks Crucially, the relationship between tasks and jobs is not one-to-one. Mostjobs consist of multiple tasks, and even if technology can automate someduties, this does not necessarily lead to job elimination. Instead, it maylead to job transformation, in which workers spend more time on tasks that This distinction becomes particularly important when evaluating AI'spotential impact. While AI systems have demonstrated impressivecapabilities in specific domains—such as language translation, imagerecognition, or game playing—the leap from task-specific competence to Moreover, the pace of technological adoption is not solely determined bytechnical capability, but also by economic incentives, regulatoryconstraints and social acceptance. Even if AI systems could theoreticallyperform certain job functions, their actual deployment depends on factors Investment Surge and Public Perception Private investments in AI have grown rapidly, drawing significant mediaattention and creating a narrative of imminent transformation. Thesuccessful release of ChatGPT in November 2022 marked a turning ChatGPT's explosive growth demonstrated unprecedented consumerappetite for AI applications. Within two months of its release, the platformhad reached 100.0 million monthly active users, making it the fastest-growing consumer application in history. This a