AI Surveillance Now Tracks Worker Activity Every Minute

AI-driven workplace surveillance now generates minute-by-minute accounts of worker activity, extending the older "bossware" tools into far more granular tracking, UK technology editor Robert Booth told The Guardian in a video segment published October 15, 2026.

The video, titled "Is your boss watching you? The rise of AI surveillance at work," features Guardian science correspondent Ian Sample interviewing Booth on the shift. The segment runs as part of the Guardian's science video series.

What did workplace monitoring look like before AI?

Workers have long faced oversight from managers. The earliest layer was output targets set by supervisors. The second layer was computer software labelled "bossware." That software logged basic activity data on workers' devices, including keystrokes and time stamps.

AI now sits on top of both earlier layers. Booth told the Guardian the systems "process huge volumes of data." The output is detailed activity streams delivered to employers throughout the workday, a step beyond the basic logs bossware produced.

How does AI monitoring differ from older bossware?

Earlier tools recorded clicks, logins, and time stamps. AI processes far larger datasets within much shorter windows. The newer systems generate continuous accounts of activity and productivity, not point-in-time snapshots at fixed intervals.

That shift widens what managers can measure at any moment. A keystroke log becomes a behavioural profile. A login record becomes a presence score. Each upgrade sharpens the data captured from workers and raises the resolution of workplace surveillance.

Why are employers deploying AI surveillance?

Productivity measurement drives most adoption, according to the segment's framing. Booth explains the business case in the full interview. Employers want continuous output data and AI now delivers it at a scale older software could not match in any reasonable timeframe.

The mechanism mirrors previous monitoring waves. Each generation of workplace tools widened the data available to managers, from punch cards to digital logs. AI simply takes that widening further, Booth argues in the segment.

Could AI surveillance backfire?

Booth told Sample the approach could "end up being counterproductive." Constant tracking can push workers to game the metrics rather than raise real output. The data may show motion on screen, not work delivered to clients or customers. The result inverts the original business case.

Workers faced with minute-by-minute logs often shift effort toward visible activity that registers on dashboards. That shift can lower real productivity even as the systems show rising output, Booth's segment argues. The risk sits at the centre of the rollout debate now forming across UK boardrooms.

What should employers and workers watch next?

The October 15 segment sits at the start of broader UK press coverage on AI workplace monitoring. Future pieces will likely name the sectors driving adoption, the vendors selling the tools, and the regulators drafting responses to the new data flows.

For now, the mechanism is clear. AI widens the data. Managers gain real-time visibility. Whether that visibility pays off in output, or simply produces more measurable activity, remains the open question for boards weighing the trade-off between oversight and performance.