This paper examines how labour productivity will increase in future workplaces that employ human resources and machine technologies. This paper expands the concept of intelligent machines as systems of automating labour based on robots and artificial intelligence. Furthermore, it aims to develop recommendations for improving productivity by managing competition and marketing in current global labour markets. We model the dependence of output per worker on robots’ international distribution, the ease of hiring foreign labour, and the dependence on pay and productivity. As a result of this research, labour productivity is defined by human resource availability and not through automation. The study develops comprehensive guidance for economic policy in the global labour market for the medium-term period. Management implications include representing a vision for the future of workplaces drawn on the productivity benefits of different workplace models that stimulate growth in labour efficiency. The recommended concept validates how innovation and digitalisation reshape the workplace.

本文探讨了未来使用人力资源和机器技术的工作场所的劳动生产率将如何提高。本文将智能机器的概念扩展为基于机器人和人工智能的自动化劳动系统。此外，它还旨在通过管理当前全球劳动力市场的竞争和营销来提出提高生产力的建议。我们模拟了每个工人的产出对机器人国际分布的依赖、雇用外国劳动力的难易程度以及对工资和生产率的依赖。这项研究的结果是，劳动生产率是由人力资源可用性来定义的，而不是通过自动化来定义的。该研究为中期全球劳动力市场经济政策制定了全面指导。管理意义包括利用不同工作场所模式的生产力优势来描绘未来工作场所的愿景，从而刺激劳动效率的增长。推荐的概念验证了创新和数字化如何重塑工作场所。