The Entry-Level Extinction
How We Are Betraying the Next Generation
This story isn’t for those performing expertise or looking for a ‘magic prompt’ to sound 10x more expensive. It’s for the ordinary people who actually embody the work — and who are realizing, with a cold shiver, that the more they try to ‘tell’ their value, the less valuable they become.
We live in the synthetic era that asks professionals to describe exactly that. Present the perfect you in a CV or LinkedIn profile. Output list. Vanity metrics. And in doing so — trying to tell what they know — they accidentally reveal how little of the valuable part can be told at all. We started to believe that’s what value actually is.
If that’s what value is, then entry-level work (messy / slow / low-output but high-learning) — looks worthless.
The most uncomfortable truth is that we aren’t just victims of the “AI transition” — we are the ones who stopped building the bridge for others. We got our expertise from a system we are now dismantling for the sake of “efficiency.”
I want to challenge whether the story we tell about ourselves has changed who we really are, how performative presence era has shifted our core values and most importantly - why we’ve stopped making space for the people we used to be?
The Language of Synthetic Era
This dissonance between who we are and the stories we tell is most visible in our vocabulary. Today, professionals enter the room and tell the same story like it was 2010. A week ago, I noticed the same about my own LinkedIn description — it didn’t reflect how I introduced myself recently to new people I met. It was written in the language AI made obsolete in the synthetic era. When the landscape is changing, we must change the narrative.
Harvard Business School Professor Suraj Srinivasan recently published a paper on job postings from 2019 through March 2025:
Postings for structured, repetitive, AI-replaceable roles that represent written knowledge dropped 13% after ChatGPT’s launch.
Demand for analytical, creative, and technical roles—where it is not about the knowledge and rather a mix of mature skillset and years of experience in the field—grew 20%.
Surprising? Not really.
The data tells us we’ve automated everything that can be reduced to a manual or a prompt, leaving behind a burning need for professionals to fill the widening, high-stakes gap that is too wide and too important and simply cannot be filled by step by step tutorial. We are being forced to rediscover our own edges and learn, all over again, how to set the boundaries and values that drive a society in the synthetic age. And here comes Polanyi, all in white.
Polanyi’s Paradox
In 1966, Michael Polanyi wrote eight words in The Tacit Dimension that says it all:
“We can know more than we can tell.”
This is the structural limit of the synthetic era. Tacit knowledge cannot be written down; it is fundamentally embodied by thoughtful practice. It is the thing you know that you couldn’t teach in a course. You can tell when others know it, too. You know.
This is what AI cannot replicate—not because the technology is limited, but because tacit knowledge structurally resists the codification AI requires to function. We are seeing this play out in real-time as the industry hits the “AI Data Wall”. Having exhausted high-quality human writing, models are being fed synthetic data (AI-generated content used to train the next generation of AI). You can answer for yourself what it means when AI fills out a survey pretending to be a human and guess what the outcomes will be.
Obviously, the result isn’t more intelligence; it’s a recursive loop of “Habsburg AI”,where the machine loses the nuance of the real world because it is only talking to itself. The bottom line: we need the imperfect and unpredictable human nature—the messy, unwritten truth that humans, and humans only, can feed the database.
The plot twist of the narrative trap is this: professionals have been trying to “tell” their value—through CVs, credential lists, and output summaries—when the most irreplaceable part of what they know is precisely the part that resists telling.
The Four Narrative Traps
If we can no longer rely on “telling” our value, why do we keep trying?
We do it because we are stuck. For decades, the ladder was climbed by proving you were the most efficient, the most informed, or the most reliable (sounds familiar?) . But in the synthetic era, those same traits have become the blueprints for automation. We have fallen (or pushed outselves) into four specific traps:
Trap 1: The Credential Story This is the scam of the modern professional. We all have that peer on LinkedIn who is delighted to announce a new AI certification every week. But in an era where a human can acquire five certifications in thirty days, an LLM already contains the training data for every course your peers have done or will ever complete. By leading with them, you are signaling that you are a biological database.
1 to 0 for the AI in this match.
Trap 2: The Output Story “I always deliver. I hit my targets.” Output is the most visible part of your work and the easiest to automate. Research from HBS shows AI improves performance on structured output tasks but fails where nuance is required. What it cannot replicate is the critical thinking behind the output: the decision about which problem to solve, who can be your champion, and which risk is acceptable to take. The market is starting to price that distinction. If you only sell the “what,” you are competing with everyone. If you sell the “why” and the “who,” you are already playing a different game.
2:0 for AI
Trap 3: The Loyalty Story “I’ve been here eight years. I know this organization.” Tenure is a vanity metric in the synthetic era, easier to obtain than thousands of followers in social media. Institutional knowledge only matters if it cannot be extracted, indexed, and handed to a system. If your value lives in a process or a database, it is already codified.
But if your value lives in the “why”—you know the history of why that specific project failed in 2019 and what that means for the decision on the table today—that is tacit. Are you the one who knows where the bodies are buried? You are uncomfortable to remove because you are the only one who can navigate the ship during the heavy storm. AI can only steer when the sea is calm.
That’s 2:1 for the Machine. The Human is finally in the game.
Trap 4: The Busyness Story “I’m always the one who makes things happen. My calendar is full”. Very impressive? Used to be. Today it signals bad time management. In an economy where AI can execute ten thousand tasks while you’re still pouring your first coffee, busyness is no longer proof of anything.
The question is not whether you are busy. It is whether the work only you can do is the work you are actually spending your time on. If your story is about the volume of your motion, you are competing with a system that never sleeps and never tires.
The last point goes to AI. 3:1 for the Machine. Game over.
The scoreboard doesn’t lie. We are teaching the next generation to be 4:0 losers before they even get their cubicle.
The Structural Danger: The Broken Rung
Much deeper lies a systemic risk going beyond individual careers that no one is talking about.
The narrative trap didn’t just change how we present ourselves. It changed what we value. And what we stopped valuing, we stopped protecting.
The Dallas Fed’s February 2026 research shows that AI automates written knowledge but complements tacit knowledge earned through experience. For entry-level workers, those “boring” tasks were never just tasks — they were the apprenticeship. This means AI substitutes for new graduates and amplifies experienced professionals — but only those whose experience has generated genuine tacit knowledge, not just tenure.
By replacing entry-level positions with AI, the traditional white-collar career ladder will collapse. Historically, junior professionals earned their gut feeling by doing the grunt work — the debugging, the basic drafting, the routine analysis. This was the apprenticeship of the white-collar world.
If you eliminate the entry-level work, it is no longer possible to accumulate the judgment developed over years of observation and practice. AI is replacing the first step of the ladder; the second one is too high to reach from the ground. The professionals who are irreplaceable today built their judgment through a system that is being dismantled in real time.
The Repair
The broken rung wasn’t a decision. It was a blind spot—the natural consequence of optimizing for efficiency while quietly dismantling the conditions that made expertise possible in the first place. Nobody chose this. We all just stopped noticing.
But not noticing is no longer an option. We must intentionally choose to do better.
If tacit knowledge is the last irreplaceable human advantage (and the evidence suggests it is), then the pipeline that produces the next generation of professionals is now a strategic emergency. Behind the efficiency win, there is an existential infrastructure failure.
How to undo the harm:
Redefine what entry-level work is for. It has never been about the task; it was about the critical thinking built through the task. It was about discovering the type of professional you want to become by watching. Before you automate the next “low-value” process, ask what learning disappears with it.
Make tacit knowledge transfer a strategic priority. Don’t just put your hopes into mentorship. Right now, it is optional, informal, and chronically underfunded. Invest in these professional relationships; they are the only ones that pay off in a storm.
Audit what you’ve already automated. Audit for what you removed, not just what you saved. Most organizations have no idea what learning they eliminated alongside the inefficiency. This audit is uncomfortable, yet necessary for the overall health of the firm.
Sponsor proximity, not just projects. Put junior professionals in rooms where real decisions are made—not to contribute, but to observe. The gut feeling that makes someone irreplaceable a decade from now is not built in a course. It is built the moment they watch a senior person navigating a difficult negotiation or someone loses control during the meeting.
The Arson of the First Rung
The professionals who are irreplaceable today built their judgment through a system that no longer exists for the people behind them. That is not progress. That is a debt.
The longer we mistake efficiency for intelligence, the more we will find ourselves in organizations full of optimized processes and no one left who understands why they exist. There is tremendous pressure to leverage the latest technology, but in that rush, let’s not forget the next generation. Let’s not betray the next wave of professionals entering the market. Veterans won’t last forever. They have their own expiration date.
That first step of the corporate ladder didn’t burn itself. We just forgot we were holding the lighter for too long. It wasn’t intentional, wasn’t it? Perhaps we were trying to see how much of the ladder we could burn before the whole building collapsed.
“If you eliminate the entry-level work, it is no longer possible to accumulate the judgment developed over years of observation and practice”
This sums it up nicely. I don’t know what the answer is but this is a problem that needs to be addressed. There is no substitute for the learning that comes through grunt work.