The IMF has found that the overall economic boost AI could deliver is surprisingly limited: modest productivity gains stretched over a decade, not the seismic transformation often promised. Another IMF analysis warns that the way AI is currently deployed risks widening the gap between capital owners and workers, pushing inequality higher and squeezing the very people who keep our economies alive.

If human labor is reduced without compensating incomes elsewhere, the foundation of the economy begins to erode. Lower wages mean weaker spending; weak spending means lower business revenues; and fewer revenues eventually mean fewer companies, fewer jobs, and less prosperity - a downward spiral we have seen before. EU surveys echo this concern, showing that workers want AI managed responsibly, to protect dignity and transparency in the workplace. 

Changing, Not Replacing 

International labor studies reinforce this. The International Labour Organization (ILO) estimates that one in four jobs is exposed to AI, especially in clerical and cognitive roles, the backbone of stable employment. Yet even here, full automation is rare. Most tasks still require human judgment, context, and oversight. The ILO stresses that AI will change work far more than it will eliminate it, and that work quality must remain central to this transition. 

The OECD echoes the same conclusion: even in sectors where AI is heavily used, the skills that matter most are human ones: decision-making, problem-solving, social intelligence, coordination. These are not “nice to have” - they are the glue that holds companies together and keeps society functioning.  

AI’s Conditional Benefits

Early evidence from corporate AI adoption tells a consistent story: while AI can rearrange tasks, it rarely drives job or wage growth by itself. In many cases, studies find little to no improvement in labor market outcomes - no rise in employment, no boost in earnings - after chatbot or automation tools are introduced. 

So when we hear that “AI will create new jobs,” the right questions are: Where? For whom? And at what cost? European business data adds nuance. Companies that combine AI adoption with strong investment in people - training, skills, leadership - do see modest productivity gains. Without such investment, AI remains a cost item, not a growth engine. And even with these investments, the gains remain modest. 

A wake-up call 

If companies build their strategies around AI instead of people, they risk hollowing out the very markets they depend on. When workers are pushed aside, consumption falls. When consumption falls, growth stalls. And once an economy begins shrinking from the inside, it is very hard to reverse.  

If we seek lasting prosperity, the answer is not “more technology.” It is a better use of natural intelligence - the judgment, creativity, empathy, and responsibility that no algorithm can replicate. 

People create trust. 

People drive demand. 

People build relationships. 

People solve the problems AI cannot even comprehend.   

AI can be a useful tool, but it is just that: a tool. It cannot replace a strategy, and it cannot be the foundation of an economy. The more we displace people, the more we undermine the very prosperity we claim to pursue. If we want stability, sustainability, and real longterm value, natural intelligence must guide us and the future of the economy must remain human.