AI Changes Motivation More Than It Changes Work

For much of the discussion around artificial intelligence, the focus has been on jobs. Which roles will change? Which tasks will disappear? Which skills will become more valuable? Those are important questions, but after speaking with Cyrus Mehta from Perform to Succeed, I found myself wondering whether we’re looking at the wrong part of the problem. Perhaps in addition to AI changing what people do, it also potentially changes their drive, energy, and ultimately how they continue to engage and perform at work.

One of the first things Cyrus challenged was the assumption that people are motivated by the same things. Using the Motivational Maps framework, he explained that work motivation is far more complex than simply earning more money or climbing the career ladder. Some people are driven by becoming recognised experts in their field. Others thrive on creativity, autonomy, influence or purpose. Some find fulfilment in helping other people, while others genuinely enjoy routine, structure and predictability.

That immediately changes the way we should think about AI. Much of the current conversation assumes that if technology completes a task faster, everyone benefits equally. But people aren’t motivated by productivity alone. They’re motivated by different aspects of the work itself, and AI has the potential to reshape those motivations in very different ways.

The Work We Remove Matters

We’ve become used to hearing that AI will remove repetitive work. It sounds like an obvious positive. After all, who wouldn’t want to eliminate tedious tasks and spend more time doing higher-value work?

The answer, according to Cyrus, is that it depends entirely on what motivates the individual. For some people, repetition isn’t something to escape. Routine provides certainty. Familiar processes create confidence. There is genuine satisfaction in doing a job well because it follows a clear, dependable pattern. If AI removes those tasks, productivity may increase, but fulfilment may need to come from elsewhere.

The same principle applies far beyond repetitive work. Someone whose identity has been built around being the recognised expert may experience AI differently from someone who is motivated by creativity or influence. If knowledge becomes instantly available, expertise doesn’t disappear, but the source of personal satisfaction begins to shift. The technology changes the task, but in doing so it also changes the reason people valued that task in the first place.

A Different Way To Think About AI

That feels like a much bigger organisational question than we often acknowledge. Businesses regularly ask how AI will change roles, workflows and operating models. Perhaps they should also be asking how AI will impact motivation for those remaining at work.

Two employees can perform exactly the same job while being motivated by completely different things. One values autonomy, another enjoys solving difficult problems, someone else simply likes being recognised as the expert everyone turns to. On paper, their roles may remain unchanged, yet the introduction of AI could affect each of them in completely different ways because the technology alters the part of the job they valued most.

That suggests the biggest challenge may not be helping people learn new AI tools. It may be helping leaders understand what actually drives and motivates people to do a good job before those parts begin to change.

Beyond Productivity

Perhaps that’s why this conversation feels so important. AI is often presented as a productivity story, measured in hours saved, tasks automated or efficiencies gained. Those metrics matter, but they only tell us what has changed operationally. They tell us very little about how people experience and adapt to that change.

If organisations focus only on what AI can do, they risk overlooking what motivates the people using it. The organisations that succeed may not simply be the ones that automate the most, they may be the ones that understand their people well enough to recognise that changing work also impacts motivation and related work performance.

And perhaps that’s the real story. AI may not only transform work because it changes jobs, but also because it changes the very reasons people find those jobs meaningful.