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Your 10 year old self who hated school wasn’t all wrong.
The only way to stop the student debt crisis is to stop going to college. And it’s not as insane as it sounds. Because your degree is worth less today than it was yesterday anyway.
The tldr primer on how we go here. Starting in 1976 through the mid 2000s, tons of laws were passed to make declaring bankruptcy on student loans as hard as possible. Everyone was hysterical (by everyone I mean just the lenders) that students would abuse the bankruptcy system that applies to, well, everything else you get a loan for. More specifics here.
I know, I know. “James, people should repay their debts? Why was this bad?”
Because it made creating student loans a nearly risk-free proposition for lenders. So they gave loans to anyone and everyone. Which in turn made it a risk-free proposition for universities to keep raising tuition exponentially. Because everyone could now “afford” it.
And it predictably spiraled out of control. Here we are.
Unfortunately, the only way to ‘fix’ the issue would be undoing all the laws, sticking lenders with decades of default all at once, and starting another financial crisis. Wonderful.
Except it isn’t the only fix. Companies could simply stop requiring degrees. And people could stop going to school for them.
I know, I know. “James, that’s insane. Companies are awful and will never get away from check-the-box hiring.”
Except they will. It is happening. Slowly but surely.
From Business Insider: “Between 2017 and 2019 employers cut degree requirements for 46% of middle-skill and 31% of high-skill jobs, which have been most pronounced in finance, business management, engineering, and health care occupations.” Here.
And that was before the pandemic.
I know, I know. “James, it’s still insane. How is anyone going to learn anything?”
Google it. Literally. Google is doing their own classes in Cybersecurity, Data Analytics, Project Management, etc. Here.
And they’re not alone. Corporate learning is being productized for a fraction of the cost. And when you add in better technology (low-code, AI, etc.) and allow more to be done with less, it’s not hard to see where this is going.
We’ll still need the biggest nerds – doctors, scientists, and the top tier of technical Office Dorks™️ – to learn from the very best in a university setting.
But the rest of us? I’ll go out on a limb and say that most of you reading this learned your day-to-day skills at the School of Hard Knocks.
Partner at Hirewell. #3 Ranked Sarcastic Commenter on LinkedIn.
Plenty has been written about AI over the past two years. For much of that time, AI has been more hype than reality. I THINK 2026 is when that starts to change.
Here’s the first in a three part series of where we see AI going in the recruiting world.
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For the last few years, most companies treated AI like a recruiting assistant. It helped draft job descriptions, summarize resumes, and speed up outreach. Useful, sure. But it didn’t fundamentally change how hiring worked. And oftentimes, things needed to be double checked before hitting send.
I think that’s going to change.
In 2026, we’re seeing the rise of agentic HR. These are systems that don’t just support recruiters. They can execute work autonomously inside defined guardrails.
That shift is forcing talent leaders to rethink what recruiting teams are actually responsible for and what still requires a human.
Traditional recruiting AI waited for humans to click “next.”
Agentic systems don’t.
They can interpret real-time funnel data, align to hiring goals, and take multi-step action. That includes adjusting sourcing spend, coordinating interview schedules, and triggering workflow changes without manual oversight.
This isn’t automation layered onto old processes. It’s the early version of a self-driving recruiting function.
Time-to-fill and cost-per-hire still matter. They just don’t fully capture what’s changing.
A concept showing up more in 2026 is Return on Autonomy. It measures the value created when humans and autonomous systems are paired intentionally.
In plain terms, the question is simple.
Are we using technology to eliminate busywork, or are we just doing the same work faster?
Because speed doesn’t help if it leads to worse decisions, a weaker candidate experience, or more noise in the funnel.
As agentic systems absorb transactional work like screening, scheduling, and coordination, the role of recruiting leadership shifts.
The best TA leaders are spending less time managing process and more time doing what actually drives hiring outcomes. That includes aligning hiring to business priorities, building trust with candidates, and improving decision quality.
The real opportunity of 2026 isn’t more AI. It’s that recruiters finally get to focus on the work that requires being human.
Here’s the trap.
Companies adopt advanced recruiting technology but keep the same habits. Long approval chains. Inconsistent communication. Unclear evaluation criteria.
When that happens, speed increases, but trust collapses.
Candidates don’t experience innovation. They experience silence, confusion, and a process that feels even more impersonal than before.
In 2026, the human experience of hiring is becoming a differentiator again because so many companies are getting it wrong.
You don’t need a total rebuild tomorrow. But you do need clarity.
The companies winning in 2026 are asking the right questions.
What parts of our hiring process truly require human judgment?
Where are we slowing things down out of habit?
Are recruiters trained for strategic work, or just process management?
Do our systems increase transparency, or just efficiency?
These aren’t technology questions. They’re leadership questions.
Agentic HR is changing how recruiting works. It’s also creating a new challenge.
As employers deploy autonomous systems, candidates are doing the same. The result is an emerging AI-on-AI hiring arms race that’s flooding pipelines with highly optimized but low-trust applications.
Next in this series: The AI-on-AI Hiring Arms Race and How to Protect Hiring Quality Without Breaking Trust
A lot of companies are going to try to AI their way into faster hiring this year and still end up with worse results. If you want to build a recruiting model that actually works in 2026, one that balances speed, quality, and credibility, we can help. Reach out if you want a second set of eyes on your hiring approach.