Title: The Impact of AI Adoption on Retail Across Countries and Industries Show Chinese title

Title: 人工智能采用对各国和各行业零售业的影响

Abstract: This study investigates the impact of artificial intelligence (AI) adoption on job loss rates using the Global AI Content Impact Dataset (2020--2025). The panel comprises 200 industry-country-year observations across Australia, China, France, Japan, and the United Kingdom in ten industries. A three-stage ordinary least squares (OLS) framework is applied. First, a full-sample regression finds no significant linear association between AI adoption rate and job loss rate ($\beta \approx -0.0026$, $p = 0.949$). Second, industry-specific regressions identify the marketing and retail sectors as closest to significance. Third, interaction-term models quantify marginal effects in those two sectors, revealing a significant retail interaction effect ($-0.138$, $p < 0.05$), showing that higher AI adoption is linked to lower job loss in retail. These findings extend empirical evidence on AI's labor market impact, emphasize AI's productivity-enhancing role in retail, and support targeted policy measures such as intelligent replenishment systems and cashierless checkout implementations. Show Chinese abstract

Abstract: 本研究利用全球人工智能内容影响数据集（2020--2025）调查人工智能（AI）采用对失业率的影响。 面板包含澳大利亚、中国、法国、日本和英国十个行业中的200个行业-国家-年份观测值。 应用了一个三阶段普通最小二乘法（OLS）框架。 首先，全样本回归发现人工智能采用率与失业率之间没有显著的线性关联 ($\beta \approx -0.0026$, $p = 0.949$). 其次，行业特定回归确定营销和零售行业最接近显著性。 第三，交互项模型量化了这两个行业的边际效应，揭示出显著的零售交互效应（$-0.138$, $p < 0.05$），表明较高的人工智能采用与零售业较低的失业率相关。 这些发现扩展了人工智能劳动力市场影响的实证证据，强调了人工智能在零售业提高生产率的作用，并支持有针对性的政策措施，如智能补货系统和无收银员结账实施。