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We’re in a bubble. Not an economic bubble. An attention bubble.
Social media’s layoff news has been groundhog day on social media for the last 8 months. Another big name laid off. Lives upended. More panic.
But social media is just like old school media: bad news grabs attention. Good news falls by the wayside.
What kind of good news? Well, the kind that stabilized the unemployment rates at 3.7%. The kind that caused non-farm payrolls to increase beyond expectations in the last few Bureau of Labor Statistics reports.
Yes, layoffs are happening. But an equal amount of (likely many of the same) people are starting something new. In short order.
There’s a counterbalance to the reality of layoffs. But there’s little to no observable counterbalance to the doom and gloom narrative we see in the media.
Does this matter? Yes.
You can in fact plunge into a demand side recession based on a lack of confidence alone. Spend less, hire less, invest less because you’re afraid of what you see and hear. And what might happen. Not what’s actually happening.
This is what we’re seeing among companies we talked to in the past few weeks. Two phenomenon happening at the same time:
👉Companies freezing hiring to start the year. Because they want to see what happens next.
Vs
👉We’ve exceeded our quota for net new clients onboarded in the last 6 weeks.
There are concerns. But it’s not all burning down.
I can’t predict how this year will go. I have no idea who the “winners” will be.
But the losers will be those who pause hiring based on media fear. Instead of their business prospects.
And those who think tech hiring will be ‘easy’ if they wait for more layoffs. (Which we hear literally every year. “Fetch” is never going to happen, you guys.)
And if that’s all who loses, cool. I just hope there’s not so many that they drag the rest of us down with them.
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.