CHRO, HR and Human–Machine Capital
Rethinking work itself: tasks, decisions, capability, accountability and how the workforce is treated.
What this collection argues
Move the conversation from tool adoption to work redesign, and treat affected employees as a stakeholder in the change rather than a line item in a business case.
In this collection
5 articles. Each one opens with the business problem, names the executive who owns the outcome, and ends with the metrics that would show whether the work paid.
The CHRO's New Mandate: Redesigning Work for Human–AI Collaboration
Training people to use AI is not workforce transformation: the work itself has to be redesigned, and the CHRO now owns the redesign of tasks, accountability and capability.
From Job Descriptions to Work Architecture: Rethinking Roles in the AI Era
Job descriptions cannot allocate work between people and machines; decomposing roles into activities, decisions, accountabilities and competencies is what makes the allocation possible.
How to Identify Which Tasks Should Be Done by People, AI or Both
Task allocation fails when it is driven by capability; judgement, ambiguity, consequence, empathy, repetition, data availability and accountability decide whether a person, a machine or both should act.
Measuring AI's Workforce Impact Without Reducing Everything to Headcount
Released capacity, cycle time, quality, employee experience and risk reduction tell the real story of a workforce redesign; headcount is a late and often misleading indicator of the same change.
Building Human–Machine Capital: A Practical Framework for Organizational Transformation
Human capability, machine capability, role design, governance, knowledge and business results form one operating system; managing them separately is what makes transformation programmes stall.