AI Is Coming for Jobs. The Question Is Whether Governments Are Paying Attention.
Every week, headlines announce another round of layoffs tied to artificial intelligence. Entry-level coding roles vanish. Customer service centers shrink. The pattern is clear, yet the response from policymakers remains muted. AI job disruption is no longer a distant forecast—it is happening now. But are governments prepared for what comes next?
Marco Riedesser, an entrepreneur from Innsbruck, Austria, doesn’t think so. He builds hardware for a living. His background includes laser-based training systems for defense and industrial automation at Controlino. More recently, he launched Friend, a physical AI companion. He is no Luddite. Yet his warnings about AI job disruption carry weight because they come from someone who understands technology deeply.
“We should probably start planning,” he says. That simple statement frames a much larger debate.
Why This Wave of Automation Feels Different
Historically, technological revolutions created new jobs to replace old ones. The Industrial Revolution eliminated many manual roles but spawned entirely new industries. Farm automation pushed workers into factories. Later, digital tools reshaped office work. Each time, the economy adapted.
Riedesser argues that AI may break this pattern. “I don’t yet see the same scale of replacement jobs appearing on the other side,” he explains. A company that cuts 7,000 employees will not hire 7,000 AI compliance specialists. The math simply does not add up. This makes AI job disruption structurally different from past shifts.
The pain will hit hardest at the entry level. For decades, young people were told to learn to code. Now Riedesser advises his own nephew not to assume coding is a safe bet. Entry-level programming work is already eroding. Even senior developers are shifting from writing code line by line to directing AI agents. The role is becoming that of a director, not a coder.
Which Jobs Are Most Vulnerable?
Not all professions face the same risk. Jobs requiring physical contact, human trust, or craft will endure. A carpenter still builds kitchens. A hairdresser still relies on personal relationships. People will always prefer human interaction in certain settings, even when technology can technically do the job.
However, the list of vulnerable categories is broad. Customer service, call centers, sales support, transportation, factory work, and entry-level software development are major pathways into employment. These are not niche sectors. They are the backbone of the modern economy.
AI is not arriving alone. Robotics is advancing in parallel. Autonomous driving systems, factory automation, and physical robots are already reshaping industries. The disruption will not stay confined to software.
Governments Must Step Up
This is where the conversation shifts from technology to policy. Riedesser believes governments need to start planning for large-scale disruption now—not after a crisis erupts. “Waiting until people are angry enough to storm data centers is not a plan,” he warns.
His solution points toward some form of universal basic income (UBI). That idea sounds radical in the United States, where work, income, and identity are deeply intertwined. In Europe, social safety nets and a stronger tradition of government intervention make UBI more palatable. The cultural divide will shape how each region responds to AI job disruption.
For the U.S., the transition may be harder. The self-reliant, capitalist ethos is a powerful tradition. But it becomes a difficult framework when the economy needs far fewer workers in once-stable careers. Policymakers must consider new models for income, purpose, and social stability.
As governments begin to address AI workforce transitions, they will need to balance innovation with human welfare. The alternative is social unrest, loss of purpose, and widespread mental health challenges.
Rethinking Purpose Beyond Work
The conversation is not purely apocalyptic. Riedesser sees another possibility: AI could reduce the pressure of survival. People may no longer need to define their worth entirely through their jobs. Younger generations already push back against 60-hour workweeks and constant hustle culture. Maybe they are not lazy. Maybe they see something the rest of us are late to understand.
Riedesser has practiced karate for over 30 years. He emphasizes the importance of purpose outside of work. If technology changes the economics of employment, society must also rethink meaning, ambition, and impact. This is a much bigger conversation than whether AI can write code or answer customer calls.
His company Friend reflects this philosophy. The device is designed to challenge users, not flatter them. “A real friend challenges you,” he says. That may be the right metaphor for the entire AI debate. We do not need technology that merely flatters us. We also do not need panic. We need a serious, adult conversation about what happens if AI really does change work at the scale many experts now predict.
Riedesser may be wrong about the timing or severity. History may surprise us again by creating new kinds of work we cannot yet imagine. But he is almost certainly right about one thing: waiting until the disruption is obvious is not a plan. For more insights on preparing for AI-driven economic shifts, experts urge immediate action.
The value of conversations like this lies not in providing neat answers. They raise harder questions than they answer. And that is exactly why we should be asking them now.
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