Workplace monitoring has a long history, from managers setting output targets to the use of basic software that tracked keystrokes and active time. The latest development is the application of artificial intelligence to such systems, allowing employers to process far larger amounts of behavioral and performance data and generate minute-by-minute profiles of employee activity and productivity.
In a video discussion, Ian Sample spoke with Robert Booth, the UK technology editor, who describes how AI is changing the capabilities of so-called ‘bossware’. Rather than offering occasional reports, these tools can now synthesise streams of input — including computer usage, application activity and other workplace signals — to produce continuous, automated assessments that can be used for performance management.
Booth explains that adoption has spread across a range of organisations and roles, driven by the need to manage dispersed workforces, measure output more granularly and satisfy compliance or quality-control demands. Supporters argue that the technology can help identify bottlenecks, improve efficiency and ensure standards are met, particularly in remote and hybrid working arrangements.
At the same time, Booth warns the approach can be counterproductive. Continuous surveillance may erode trust, increase stress and incentivise gaming of metrics rather than genuine productivity gains. Critics and some experts cited in the discussion also raise concerns about privacy, the accuracy of algorithmic judgements and the potential for unfair treatment when complex human behaviour is reduced to simple data points.
The expansion of AI-powered monitoring highlights legal and ethical questions that organisations, regulators and workers are beginning to grapple with. Debates centre on where to draw the line between legitimate management needs and intrusive oversight, how to ensure transparency and accountability for algorithmic decisions, and what protections employees should have against misuse of their data.
As employers explore these technologies, Booth’s account suggests a broader conversation is needed about their design and deployment to avoid undermining the very productivity gains they promise. The discussion between Sample and Booth serves as a starting point for understanding both the technical capabilities and the human implications of AI surveillance at work.