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ACG Strategic Insights

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Series Blog #7: When Entry-Level Jobs Vanish: The Leadership Pipeline Crisis No One Is Talking About

  • Writer: Jerry Justice
    Jerry Justice
  • Nov 18
  • 6 min read
Split-screen image showing a traditional career ladder with multiple rungs on one side, and the same ladder with bottom rungs missing/disappearing on the other side.
AI is removing the first rungs of the career ladder. Where will tomorrow's leaders gain the foundational experience that built today's executives?

This is the seventh installment of The Executive's AI Playbook series. We've explored AI's business case, costs, trust, talent, governance, and executive risks. Now we confront a quieter crisis—one that won't show up in next quarter's numbers but could cripple your organization a decade from now.


While you debate which AI tools to deploy, something more fundamental is disappearing: the entry points where tomorrow's leaders learn to lead.


The Vanishing First Rung


According to the World Economic Forum's Future of Jobs Report 2025, 40% of employers expect to reduce their workforce where AI can automate tasks. Research from SignalFire shows Big Tech companies reduced new graduate hiring by 25% in 2024. Before the pandemic, new graduates represented a significantly larger share of hires at major tech companies; that figure has collapsed by more than 50% to just 7%.


Dario Amodei, CEO of Anthropic, warns in a May 2025 Axios interview that AI could eliminate half of all entry-level white-collar jobs (such as those in law, finance, and consulting) within five years, potentially driving unemployment rates between 10% and 20%.


The career ladder that built generations of leaders is being dismantled. Doug McMillon, Walmart's CEO, started unloading trucks. GM CEO Mary Barra began on the assembly line at 18. HPE CEO Antonio Neri rose from call center agent to chief executive.


These aren't anecdotes. They're proof that leaders develop judgment and organizational understanding through foundational work that no MBA can teach.


As Bill Gates observed in The Road Ahead: "We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten. Don't let yourself be lulled into inaction."


What AI Is Really Automating Away


Entry-level work serves two purposes: accomplishing tasks and teaching how organizations function. Where people make low-stakes mistakes, build relationships, and discover if they can lead.


AI excels at tasks. It struggles with development.


Dr. Cornelia C. Walther, visiting scholar at Wharton and former UN humanitarian practitioner, wrote in Knowledge at Wharton: "Junior employees are losing opportunities to develop their skills as more companies rely on AI for entry-level tasks."


Stanford research found that between late 2022 and July 2025, entry-level employment in software engineering declined 20% and entry-level jobs in customer service also saw significant declines, while employment for older workers in the same jobs grew. Other occupations experiencing sharp declines for younger workers include accounting and auditing, secretarial and administrative work, computer programming, and sales.


These roles traditionally developed foundational skills that make people promotable. When we automate them away, we eliminate the learning ground where future VPs discover how your company works.


The Professional Services Leadership Pipeline Crisis


Professional services firms face an acute version of this leadership pipeline challenge. For decades, elite consulting, law, and accounting firms relied on a leverage model where junior staff performed research, document review, and basic analysis. This hidden apprenticeship taught diligence, provided context through seeing raw data, and developed client-facing communication skills.


Service Performance Insight's 2025 benchmark shows year-over-year revenue growth dropped to 4.6%—significantly below the five-year average of 8.7%—while headcount growth slowed to 1.9%.


When AI performs routine work, the foundational layer collapses. Entry-level employees start at mid-level synthesis without the deep understanding the old system provided. We risk creating brilliant synthesizers who lack practical wisdom.


Korn Ferry states: "Entry-level employees are foundational to an organization's future leadership pipeline… these roles provide early-career talent with opportunities to learn the business from the ground up."


Kate Shattuck at Korn Ferry warns that not building a bench of young talent "sets the stage for a crisis ten years from now when you don't have people to take over."


Manufacturing's Different Trajectory


Manufacturing offers a counterpoint. While professional services shed entry-level roles, manufacturing faces too few people wanting positions that still exist.


The Bureau of Labor Statistics reports electrician employment will grow 9 percent from 2024 to 2034, creating 81,000 openings annually, with HVAC mechanics growing 8 percent during the same period. These jobs require hands-on problem-solving AI can't replicate.


The American Institutes for Research describes apprenticeships as "work-based learning that combines classroom training with on-the-job learning to increase workers' skill levels and wages." This model—combining training with mentorship—remains intact in manufacturing.


The irony: skilled trades maintain developmental pathways that build leaders. White-collar professions are dismantling them. Manufacturing leaders understand you can't build masters without apprentices.


Building The Leadership Pipeline Without Traditional Entry Points


The answer is not to halt automation—that's economic suicide. The answer is to deliberately design new entry-level experiences that focus on the skills AI cannot replicate.


Angela Ahrendts, former Senior Vice President of Retail at Apple, captured this essential truth in her philosophy that has consistently emphasized: while everyone talks about technology, you really have to start with the humanity and you have to get that right, and that the more technologically advanced our society becomes, the more we need to return to the basic fundamentals of human communication.


Here's how to redesign for the future:


Redesign Roles, Don't Just Eliminate Them

Stop hiring for output and start hiring for potential. When AI takes over routine analysis, don't delete the junior analyst role. Redesign it around interpretation and presentation of AI-generated insights. The learning value isn't in running the regression—it's in understanding what the numbers mean and explaining them to decision-makers.


The new entry-level talent is not a data processor; they are a critical auditor and strategic challenger. Their job is to find the black swan the AI missed.


Create Experiential Rotations

Replace multi-year, single-function junior roles with accelerated, high-intensity rotational programs. Expose talent to the messy center of the organization—customer service feedback loops, cross-functional project management, and rapid prototyping teams—where human judgment and collaboration are paramount.


Create internal "mini-consulting" teams composed of junior talent from different departments. Give them genuine cross-functional organizational problems. The goal isn't the solution, but the messy process of reaching consensus, managing personalities, and presenting unified recommendations to executive sponsors.


Formalize Ethical Auditing

Make ethical review of AI systems a mandatory function of your junior ranks. This moves ethical responsibility out of a small compliance department and embeds it in the DNA of your future leaders. The new junior role must focus on validating, auditing, and challenging AI output—finding flaws, ethical blind spots, and hidden assumptions in AI-generated recommendations.


Structure Wisdom Transfer Through Mentorship

Senior executives must view mentoring not as a burden but as mission-critical to organizational survival. Mentorship must move beyond career advice to structured wisdom transfer: Why did we make that decision? What was the political trade-off? How do you frame a complex problem for the board?


As Tory Burch, Executive Chairman and Chief Creative Officer of Tory Burch LLC, has emphasized in her philosophy: it's really important to have a great support system and to have people you can rely on. In the context of the AI era, your leadership pipeline is your support system. It must be cultivated and protected with strategic intensity.


Emphasize Human Skills as Power Skills

The traditional soft skills of communication, empathy, and conflict resolution are now the hardest and most valuable skills. Entry-level training must focus heavily on simulated conflict scenarios, negotiation workshops, and ethical dilemma training.


These are the areas where human nuance and judgment provide true value differentiation.


The Strategic Imperative


The disappearance of routine work is a competitive positioning threat. Organizations that fail to cultivate their leadership pipeline will have mid-level managers with strong technical skills but weak leadership judgment, empathy, and strategic capabilities.


According to analysis by National Universityworkers aged 18–24 are 129% more likely than those over 65 to worry AI will make their jobs obsolete. Young people are choosing different career paths. The talent you'll need in 2035 is deciding now whether your industry offers a viable future.


Companies that succeed will view automation not as cutting training budgets, but as reallocating them from technical training to developing human wisdom.


In ten years, when your executive team retires, from where will replacements come? If you've automated away the roles where people learn organizational judgment, where's your bench?


The leadership pipeline crisis isn't coming. It's here. The only question is whether you'll recognize it before it becomes irreversible.


What Comes Next: Competitive Timing


While you're working through these talent challenges, your competitors are making their own calculations. Some are going all-in on AI, betting they can automate faster than you and force your hand. Others are holding back, waiting to learn from early movers' mistakes.


Our next article examines the trickiest decision executives face: strategic timing. When do you commit? How do you read competitive signals? And what do you do when a competitor makes a move that could reshape your entire market? Join us as we explore what to do now that your competitor has gone all-in on AI.


At Aspirations Consulting Group (https://www.aspirations-group.com), we help executives address the full spectrum of AI implementation challenges—including the critical talent development issues that others overlook. We specialize in designing future-proof organizational structures and executive development programs. Schedule a confidential consultation to discuss how we can help you protect your organization's leadership pipeline while capturing AI's benefits today.


Subscribe to our complimentary ACG Strategic Insights at https://www.aspirations-group.com/subscription for strategic guidance on AI, leadership, and organizational transformation. Published each weekday to 9.8+ million current and aspiring leaders, our insights help you stay at the forefront of leadership in the AI era.

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