The Talent Acquisition Example: If the greatest challenge of the AI revolution is redesigning work itself, an obvious question emerges:
Why isn’t HR leading the effort?
After all, Human Resources is responsible for workforce planning, organizational design, talent strategy, skills development, and employee experience. If jobs are changing, work is changing, and organizations are changing, HR would seem to be the natural function to lead the transformation.
Yet in many companies, that isn’t happening. The reason is not a lack of interest. It is a matter of history and structure.
For decades, HR has primarily been measured on operational excellence: recruiting, compensation, compliance, employee relations, performance management, and benefits administration. While these functions are essential, they are largely designed to support existing organizational structures rather than reinvent them.
Meanwhile, AI transformation is often being led by technology teams, operations leaders, consultants, or business unit executives. The discussion centers on software implementation, automation opportunities, and productivity gains rather than the more difficult questions about how work should be redesigned.
As a result, many organizations are pursuing AI initiatives without fundamentally rethinking roles, workflows, decision-making processes, or skills requirements.
The irony is that HR possesses many of the capabilities needed to drive this transformation.
Consider the questions organizations must answer:
- Which activities should be automated?
- Which skills will become more valuable?
- How should jobs evolve?
- What work should remain human-led?
- How should performance be measured in an AI-enabled environment?
- What new career paths will emerge?
These are not technology questions.
They are workforce questions.
Yet many HR functions have not developed the operational analytics, process design expertise, or business credibility necessary to lead enterprise-wide work redesign efforts. In some organizations, HR remains focused on talent acquisition, employee engagement, and compliance while strategic decisions about AI-enabled work are made elsewhere.
The result is a leadership vacuum.
Technology teams understand the tools but often lack expertise in organizational behavior. Business leaders understand outcomes but may not understand workforce implications. HR understands people but frequently lacks ownership of workflow redesign.
This leaves organizations in a difficult position: they are implementing AI without redesigning the work surrounding it.