这篇文章来自《金融时报》的「Working It」专栏,探讨了人工智慧加速发展下职场中出现的新角色与组织结构变革。文章重点介绍了「混合劳动力协调者」这一新兴职位概念,源自人力资源公司Adecco集团的最新研究报告。该角色的核心任务是策略性地规划哪些工作由人类完成、哪些交由AI代理或机器人执行,同时识别技能缺口并重新设计工作流程,使人类、AI代理与机器人组成的混合劳动力高效协作。
行为科学家Gleb Tsipursky指出,协调者可能成为组织中最重要的人物之一,因为他们将决定哪些任务由员工保留、哪些被AI吸收、谁的技能值得投资、谁的角色可能被淘汰。这使得该职位本质上是一个治理角色,而非单纯的劳动力规划角色,因此需要透明度、员工参与和明确的问责制。此外,文章还提到首席人力资源官可能演变为这一协调角色的候选人,而随著人力资源部门日益技术化,维护组织文化与人性优势将成为企业差异化竞争的关键。
文章同时涵盖了多个职场热门话题:员工安排虚假会议以腾出专注工作的时间、训练AI模型可能成为职场权力博弈的机会、中国科技业「内卷」文化引发的讨论,以及隐形录音应用程式带来的伦理隐忧。约克大学的研究显示,AI与高技能劳动力结合,到2030年可为英国经济释放累计4900亿英镑的价值,但前提是需要扩大毕业生级别人才的供给管道,这对考虑上大学的人而言是一个积极信号。
This Financial Times 'Working It' newsletter examines how AI acceleration is reshaping organisational structures and creating new job categories. The centrepiece is the concept of 'hybrid workforce orchestrators'—strategic roles focused on integrating AI agents and robots with human workers. Drawing on a forthcoming paper from Adecco Group, CEO Denis Machuel explains that orchestrators must determine what remains human-performed, what is delegated to agents or robots, and how skills must evolve, while reinventing workflows around these blended teams.
Behavioural scientist Gleb Tsipursky argues that orchestrators will wield significant influence over whose tasks are retained, whose skills receive investment, and whose roles become redundant, making the position a governance role requiring transparency and accountability. He also anticipates the emergence of adjacent roles in human-AI workflow design, algorithmic accountability, AI coaching, and an AI ombudsperson function. Meanwhile, the CHRO is increasingly seen as a candidate for this orchestration mandate, raising questions about who will champion organisational culture as HR becomes more tech-centric.
The newsletter also highlights several broader workplace stories: employees creating fake calendar meetings to carve out focus time, the strategic value of institutional knowledge in training AI models, China's 'involution' debate sparked by a tech worker's viral farewell letter about burnout culture, and the ethical concerns surrounding invisible recording apps like Granola and Pocket. Research from the University of York suggests that AI paired with graduate-level talent could unlock £490 billion for the UK economy by 2030, reinforcing the enduring value of higher education amid anxieties about entry-level job disruption.