Human sustainability: the missing measure in AI workforce planning

HR & Leadership · Source published 5 March 2024

Multinational professionals learning applied AI

Research signal

Deloitte’s March 2024 Human Capital Trends coverage placed human sustainability, trust and human capabilities alongside business performance.

Source: Deloitte — 2024 Global Human Capital Trends · 5 March 2024.

Event Systematic perspective

An employer can reduce the time spent preparing a report and still make work worse if the saved time becomes a larger queue of urgent requests. For HR, the useful question is what changes for the person doing the work: workload, decision authority, learning and access to support. Our editorial view is that an AI pilot should have a people baseline before it has a savings target.

In a Malaysian shared-services team, for example, begin with one recurring reporting process. Record the preparation time, correction rate and number of after-hours requests. Then agree who checks the output and how the recovered time will be used. A shorter process is valuable when it produces reliable work and creates room for development; activity counts alone cannot establish that.

Put it into practice

  • Pair a service-quality measure with a workload measure, rather than judging success by tool logins.
  • Ask affected staff to review the redesigned process before rollout, including people on different shifts.
  • Include a manager check-in after the first month to identify hidden rework and changes in confidence.

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