Most job descriptions were written for a world where work was performed entirely by humans.

That world no longer exists.

Employees are increasingly using AI to draft content, summarize information, analyze data and support decision-making. Yet many organizations are still evaluating performance against job descriptions written years ago.

The result is a growing disconnect between how work is performed and how organizations define work itself.

Work Is Changing Faster Than Roles

AI is changing tasks faster than organizations can update roles.

Employees are automating portions of their work, shifting time toward higher-value activities and taking on more strategic responsibilities.

At the same time, job descriptions often continue to emphasize manual execution.

Organizations that fail to update roles risk measuring the wrong things.

An employee who spends less time creating first drafts and more time solving business problems may actually be delivering greater value, even though their work no longer aligns neatly with their original job description.

Performance Systems Must Evolve

Traditional performance systems reward effort, activity and completion.

AI-enabled work places greater emphasis on judgment, critical thinking, collaboration and problem-solving.

As AI handles more routine tasks, uniquely human capabilities become increasingly important.

Organizations must begin asking new questions:

• How effectively does an employee leverage AI?
• How well do they validate and improve AI outputs?
• How effectively do they apply judgment?
• How do they create value beyond execution?

The answers to these questions may become just as important as traditional measures of performance.

So What?

Organizations do not need to rewrite every job description overnight.

But they do need to acknowledge that work is evolving faster than their talent systems.

The companies that adapt first will create clearer expectations, more meaningful performance conversations and stronger employee development.

Because in the age of AI, redefining work may become one of leadership’s most important responsibilities.