⚡ Quick Summary & Key Takeaways
- AI is quietly removing entry-level positions, creating a critical gap in the development of future senior talent.
- Organizations risk failure by using AI to strip layers of management without properly redesigning human-led accountability.
- The ultimate career moat is not competing with machines, but leveraging AI to automate rote tasks while doubling down on human judgment, relationship-building, and domain expertise.
Nicolas Babin on thirty years of AI experience — and why the outcome is still in human hands.
White collar payrolls in the United States have contracted for thirty-one consecutive months. That number is not a headline. It is a structural signal.
AI is no longer coming for the factory floor alone. It has arrived at the office. And it is not taking the most senior roles first. It is removing the bottom rungs — the entry-level positions that have always been the foundation of a professional career.
I spoke with Nicolas Babin to understand what this really means. Babin is the EU Digital Ambassador and a former head of digital business at Sony Europe. He has worked with AI for over three decades — longer than most people discussing it have been in the workforce. His perspective is not theoretical. It is built from thirty years of watching organisations make the same mistake under different technological banners.
What he told me should be required reading for anyone managing a team, hiring a junior, or starting a career.
THE RUNGS THAT ARE DISAPPEARING
The danger of AI in the workplace is not what most people think it is.
It is not that AI will take your specific job tomorrow. It is that AI is quietly removing the positions that teach young professionals how organisations actually work.
Babin puts it precisely. “AI may not remove the whole career ladder,” he says, “but it may remove the first three rungs.” Junior analysts, legal assistants, administrative coordinators, junior marketers — these are the roles that build exposure, confidence, judgment, relationships, and experience. They are repetitive enough to be automated, but formative enough that losing them changes everything upstream.
The consequence is already forming. Companies will soon ask for experienced people whilst simultaneously investing less in creating experience. The pipeline for the next generation of senior talent is narrowing at precisely the moment organisations believe they are becoming more efficient.
That is not efficiency. It is short-term cost reduction dressed up as progress.
THE MIDDLE IS BEING SQUEEZED FROM BOTH SIDES
If junior roles are disappearing from below, middle management is being compressed from above and below simultaneously.
Middle managers are, in Babin’s framing, “the translators between strategy and reality.” They coordinate teams, prepare reports, interpret information, manage budgets, track projects, communicate decisions. These are exactly the tasks AI can begin to handle — and organisations know it.
The risk is not that AI replaces middle managers. It is that organisations use AI to remove layers of management without redesigning accountability. Babin is direct on this point. “AI will not go to jail if something goes wrong. It will be the CEO.” Accountability requires a human being. When things fail — and they will fail — you do not call an algorithm. You call your manager.
The organisations that strip out human accountability in pursuit of a leaner structure will discover the cost of that decision at the worst possible moment.
WHAT THIRTY YEARS OF AI TEACHES YOU
Babin does not frame AI as a revolution. He calls it an evolution — a distinction that matters.
Every major technological shift has eliminated certain tasks. The professionals who managed horses did not simply disappear when the motor car arrived. Most of them became mechanics. The skills transferred. The direction changed. The underlying human capacity — to learn, adapt, and serve a practical need — remained constant.
The parallel holds today, but with one critical difference in timing. Previous technological evolutions gave workers decades to adapt. This one is moving faster. The window to act is measurably shorter.
Babin has spent thirty years watching companies deploy AI. His consistent observation is that the danger is not the technology. “The danger,” he says, “is allowing companies to deploy AI only to remove costs rather than to create value, improve services, or develop people.”
Technology does not decide the outcome. Leaders, companies, and governments do. That distinction is the most important one in this conversation.
THE QUESTION YOUNG PROFESSIONALS ARE NOT ASKING
About fifteen years ago, I was running social media and marketing workshops for IBM and Microsoft. I reviewed that same course collateral a few weeks back. The fundamentals had not changed. The principles of audience, message, trust, and relationship are as true now as they were then.
What has changed is the speed, and the competitive landscape. A professional with fifteen years of accumulated judgment, combined with AI as a tool, is exponentially more capable than either alone. A graduate with a marketing degree and no accumulated judgment is now competing not with other graduates, but with AI itself.
Babin’s advice to anyone starting in marketing today is unambiguous. Stop trying to differentiate yourself from other humans. Start differentiating yourself from AI. “Build your own database of expertise and experience that later on you can sell,” he says. That is not a platform strategy. It is a human strategy.
The professionals who will thrive are those who bring something no report can generate. Insider knowledge. Contextual judgment. The kind of read that only comes from being in the room.
I experienced this recently whilst working with new clients on their marketing strategy. The AI-generated report was thorough. It covered visitor demographics, spend patterns, regional trends. But the moment a client said — this particular nationality no longer spends the way they once did, because the price difference that used to draw them here has disappeared — the report became context, not conclusion. The human sitting across the table knew something the model could not access. That knowledge is the asset worth protecting.
WHAT AI ACTUALLY OFFERS THE MIDDLE CLASS
Babin offers a counterpoint that deserves equal weight.
For decades, middle class professionals have spent enormous portions of their working lives on reporting, administration, compliance documentation, and repetitive analysis. These are tasks that consume time and deliver minimal creative or relational value. AI, deployed correctly, removes that burden entirely.
“The opportunity,” Babin says, “is not to have fewer humans at work. It is to have humans spending less time behaving like machines.”
That reframe changes the entire conversation. The professionals who position themselves around client relationships, innovation, problem-solving, leadership, and creative judgment will find AI makes them more capable, not less relevant. The ones who resist will find themselves defending territory that was never worth defending.
By thirty, if you do not have two or three distinct skills that could generate income independently, the risk is real. The professionals best positioned for this moment are the ones who have always been comfortable moving between disciplines — combining judgment from one domain with capability in another. That adaptability is not a personality quirk. It is the core competency of the next decade.
THE OUTCOME IS NOT DECIDED
Babin has spent thirty years with AI. He has never seen it designed to work against the middle class. That is not how the technology makes decisions, because the technology does not make decisions.
The people making decisions are leaders. Companies. Governments. Those decisions will either concentrate wealth and remove career pathways, or widen access to knowledge, productivity, and opportunity. The technology provides the capability. The human being chooses the direction.
This is an anxious moment. That is honest, and it is right to name it. But anxiety and confidence can coexist. I have found, after five years of working daily with AI tools, that the anxiety sharpens your focus rather than clouding it. The professionals who engage with this shift — who learn what AI can and cannot do, who build the judgment that no model can replicate, who invest in their own depth of expertise — are the ones who will look back on this period as the moment they pulled ahead.
The career ladder has not disappeared. It has been redesigned. The people who understand that, and adapt accordingly, are about to find more opportunity than the old model ever offered them.
FREQUENTLY ASKED QUESTIONS
Who is Nicolas Babin? Nicolas Babin is the EU Digital Ambassador and a former head of digital business at Sony Europe. He has worked with artificial intelligence for over thirty years, across enterprise, government, and academic contexts. He is a regular contributor to conversations on the future of work and the human implications of AI deployment.
What does “AI removing the first three rungs of the career ladder” mean? It refers to the disappearance of entry-level, formative roles — junior analysts, administrative coordinators, legal assistants, and junior marketers — that have traditionally been where young professionals learn how organisations function. As AI automates these tasks, the pathway from graduate to experienced professional narrows significantly.
Is AI designed to eliminate the middle class? No. Nicolas Babin, with over thirty years of AI experience, is clear on this point: AI has never been designed to work against the middle class. The outcome depends on how leaders, companies, and governments choose to deploy it — to reduce costs, or to create value and develop people.
What should young professionals do to protect their careers? Stop competing with other humans for the same roles. Start differentiating yourself from AI. Build depth of expertise and accumulated judgment in areas that require contextual knowledge, human relationships, and creative problem-solving. That combination is what AI cannot replicate.
What is the biggest risk of AI in the workplace right now? Babin identifies it as organisations using AI to remove layers of management without redesigning accountability. When something goes wrong — and it will — accountability must rest with a human being. Organisations that strip that out in pursuit of short-term efficiency will pay the price at the moment of failure.
How does AI actually benefit middle class workers? When deployed well, AI removes the repetitive, low-value burden of reporting, compliance documentation, and administrative work that has consumed professional time for decades. This frees people to focus on client relationships, innovation, leadership, and creative judgment — the work that generates real value and cannot be automated.
Listen to the full conversation with Nicolas Babin on Influential Visions Podcast — available on Apple Podcasts, Spotify, and Audioboom.
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Who is Nicolas Babin?
Nicolas Babin is the EU Digital Ambassador and former head of digital business at Sony Europe, with over 30 years of experience in AI.
What does 'AI removing the first three rungs of the career ladder' mean?
It describes how entry-level roles that provide formative experience are being automated, making it harder for juniors to gain the necessary exposure to understand how organizations operate.
How can professionals thrive in an AI-driven environment?
By shifting focus from repetitive tasks to high-value skills like innovation, leadership, and contextual problem-solving that machines cannot replicate.