Digital technologies are radically transforming our work environments and demand for skills, with certain jobs being automated away and others demanding mastery of new digital techniques. This global challenge of rapidly changing skill requirements due to task automation overwhelms workers. The digital skill gap widens further as technological and social transformation outpaces national education systems and precise skill requirements for mastering emerging technologies, such as Artificial Intelligence, remain opaque. Online labour platforms could help us to understand this grand challenge of reskilling en masse. Online labour platforms build a globally integrated market that mediates between millions of buyers and sellers of remotely deliverable cognitive work. This commentary argues that, over the last decade, online labour platforms have become the ‘laboratories’ of skill rebundling; the combination of skills from different occupational domains. Online labour platform data allows us to establish a new taxonomy on the individual complementarity of skills. For policy makers, education providers and recruiters, a continuous analysis of complementary reskilling trajectories enables automated, individual and far-sighted suggestions on the value of learning a new skill in a future of technological disruption.

数字技术正在从根本上改变我们的工作环境和对技能的需求，其中某些工作已自动消失，而另一些工作则需要掌握新的数字技术。由于任务自动化，这种对技能要求快速变化的全球挑战使工人不知所措。随着技术和社会变革超过国家教育体系，并且掌握诸如人工智能之类的新兴技术的精确技能要求仍然不透明，数字技能差距进一步扩大。在线劳务平台可以帮助我们了解重新技能培训的巨大挑战。在线劳务平台建立了一个全球集成的市场，该市场在数百万可远程交付的认知作品的买卖双方之间进行中介。这篇评论认为，在过去十年中，在线劳动力平台已成为技能捆绑的“实验室”；来自不同职业领域的技能组合。在线劳务平台数据使我们能够建立关于技能个体互补性的新分类法。对于政策制定者，教育提供者和招聘人员而言，对补充技能再培训轨迹进行持续分析，就可以自动，个性化和有远见的建议来学习在技术中断的未来学习新技能的价值。