🪜 The career ladder has a missing bottom rung

Hey HR folks! 👋 

Today we're talking about entry-level jobs. Specifically, where they went and what it costs when they don't come back.

The numbers are new. The problem they're describing has been building for a while.

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IN TODAY’S EDITION

🪜 The career ladder has a missing bottom rung

☕ The Break Room: how is your org approaching early-career hiring as AI takes on more entry-level work?

📚 Additional Reading: Amazon's tokenmaxxing crackdown, Netflix's Ladies First and what the data says about women at work, and the court case that shows why your own deadlines can be used against you.

OPENING THOUGHTS

🪜 The career ladder has a missing bottom rung

A ResumeTemplates.com survey published in May 2026 puts a number on what many HR leaders have been sensing:

• 48% say their company would rather invest in AI tools than hire and train a class of 2026 college graduate. '

• 55% have already shifted some or all of their entry-level hiring budget to AI tools.

And it's not just hiring freezes. 45% of companies have also restructured entry-level work so that one senior employee plus AI now does what previously required multiple junior hires. 

The entry-level role is……….being removed.

What doesn’t show up in a cost model: the entry-level job was never just about the work, but rather the learning environment where future senior employees were built.

LET’S UNPICK

The ResumeTemplates data is worth sitting with. When hiring managers explain why they prefer AI over a recent grad, the top reasons are practical:

1. faster onboarding (61%),

2. more reliable output (55%),

3. 24/7 availability (52%), and

4. lower cost (48%)

74% of tech companies and 73% of finance companies have already moved entry-level hiring budget to AI. The sectors where young workers have historically built careers fastest are now the fastest to close the door.

• 🔴 1 in 3 hiring managers (35%) won't hire the class of 2026 at the same volume as the prior year. 5% won't hire any 2026 grads at all.

• 🔴 45% of companies have restructured so that one senior employee plus AI does the work of two or more entry-level positions.

• 🔴 Among companies that shifted budget, more than 1 in 3 have moved at least 25% of their entry-level dollars into AI tools.

None of that is surprising in isolation. But let’s not forget what the entry-level role was actually for.

Matt Beane, author of "The Skill Code" and an associate professor at UC Santa Barbara, told CNBC that the expert-novice model of skill-building has existed for roughly 160,000 years. Junior employees do low-stakes work alongside more experienced colleagues. They absorb judgment, context, and the texture of how decisions get made. That's how experts are produced. The model works because the learning is embedded in the doing.

When AI takes over the doing, the learning doesn't happen.

The cost of this is already measurable. When AI can perform most tasks for a specific role, the share of people in that role at a company falls by about 14%, according to a 2025 study co-authored by researchers at MIT, Northwestern University, and Yale. That's a full structural headcount reduction.

Zoom out and the downstream problem becomes visible. The pipeline that feeds senior roles and leadership has always depended on a steady flow of people who started at the bottom, did the work, and grew into it. When companies across industries stop making that hire, the supply of promotable talent shrinks.

Gen Z isn't waiting around. Research from The Conversation shows 85% of Gen Z workers already bring AI tools like ChatGPT or Copilot into the workplace on their own initiative, and LinkedIn and Microsoft data shows a 160% surge in AI literacy learning courses.

This generation is adapting faster than the hiring market is giving them credit for. The problem is that the roles where that capability would have developed are being removed before they even get to prove it.

🔗 ResumeTemplates.com — Nearly Half of Hiring Managers Will Train AI Instead of Hiring 2026 College Grads

🔗 CNBC — Why AI may kill career advancement for many young workers

🔗 The Conversation — A robot stole my internship: How Gen Z's entry into the workplace is being affected by AI

TAKEAWAY AND TRY

1. 📊 Frame the entry-level hiring decision as a pipeline risk, not a headcount question. When finance asks why you need junior hires when AI can do the task work, the answer is about where your senior talent in five years comes from. Map your current leadership team back to their starting roles and bring that data to the conversation.

2. 🔍 Audit what moved when entry-level budget shifted to AI. If your org is among the 55% that reallocated entry-level hiring budget, track what changed in promotion rates, internal mobility, and time-to-fill for senior roles. The cost saving is visible immediately. The loss shows up later.

3. 🤝 Redesign the learning model alongside any role restructuring. If AI is absorbing task work, the question becomes how to preserve the expert-novice dynamic in what remains. Apprenticeship tracks, structured mentorship, and rotational programs can recreate the learning conditions even as the traditional entry-level role shifts.

4. 🎯 Make Gen Z's AI fluency a hiring asset, not a liability offset. 85% of Gen Z workers already bring AI tools into the workplace on their own. If entry-level roles are evolving to require human-AI collaboration, your job descriptions should reflect that rather than eliminating the role because AI is available.

5. 📋 Get HR into the AI deployment conversation before restructuring decisions are made. The 45% of companies that reorganized entry-level work around AI likely didn't run that through a workforce planning lens first. Succession, talent supply, and pipeline health need to be part of the conversation when AI tooling decisions are made, not after the roles are already gone.

TLDR;

48% of hiring managers would rather invest in AI than hire a 2026 grad. The short-term cost math is clean. But the entry-level role was the training ground that built your senior talent pipeline. When AI takes over the task work, the learning that came with it disappears too.

HR's job right now is to reframe entry-level hiring as a pipeline investment before the C-suite discovers the same thing with nobody left to promote.

THE HR BREAK ROOM

ADDITIONAL READING

1. 🤖 Amazon cautions employees against 'tokenmaxxing' as AI costs balloon — HR Brew. Amazon shut down an internal leaderboard where employees competed for highest AI token usage, after the metric started rewarding volume over value. The lesson for HR: AI adoption metrics that measure the wrong thing will drive exactly the wrong behavior.

2. 🎬 Netflix's Ladies First drowns out its own message on workplace inequality — The HR Digest. A gender-flipped workplace comedy with Rosamund Pike and Sacha Baron Cohen tries to make the case for pay equity and representation. McKinsey's latest data is the sobering backdrop: for the 11th consecutive year, women hold only 29% of C-suite roles.

3. ⚖️ Employer fires worker before its own corrective deadline and loses the unemployment case — HCA Mag. A Hawaiʻi court ruled against a tour company that terminated an employee two weeks before the compliance deadline it had set in writing. The ruling is a clean reminder: if your own paperwork sets a deadline, you have to honor it.

That’s It For Today!

Thanks for reading to the end and we hope today’s edition sparked some new ideas for your workplace! 🧠

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