This paper investigates the impact of artificial intelligence on unemployment in the most high-tech and developed countries, using a theoretical model that is also supported empirically. The empirical methodology follows a nonlinear approach by using panel threshold and GMM-system estimations. The dataset covers the period 1998–2016, and includes 23 countries.

The main results show that artificial intelligence has a nonlinear impact on unemployment, with the acceleration of the use of artificial intelligence reducing unemployment, but only occurring at low levels of inflation. In this case, no “switch effect” between “displacement effect” and “replacement effect” is registered Otherwise, the contribution of artificial intelligence to unemployment is rather neutral.

本文使用也得到经验支持的理论模型，研究了人工智能对大多数高科技国家和发达国家失业的影响。通过使用面板阈值和GMM系统估计，经验方法遵循非线性方法。该数据集涵盖1998-2016年，包括23个国家。

主要结果表明，人工智能对失业具有非线性影响，人工智能的使用加速减少了失业，但仅发生在低通胀水平。在这种情况下，不会在“位移效应”和“置换效应”之间记录“切换效应”。否则，人工智能对失业的贡献就相当小。