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In January, Hirewell’s new job orders were up 119% from December.
52% from November. And 33% from October. (Yes I led with 119% for clickbait reasons. We all know December is the slowest month of the year anyway.)
It’s the highest they’ve been since May 2022 (the same amount). But a 19% decline compared to January 2022. (Which was close to the peak. Arguably a bubble.)
Great for us. What does this mean for everyone else?
👉Recruiting firm rec load isn’t a sign of the total hiring demand, but it is an indicator of urgent demand.
Our services come at a premium (literally the business model.)
Companies use us when things are:
Great for us. But something everyone wants to see for the health of the job market.
Granted, there’s some gaps in this data:
👉We’re one firm. I have no idea what any other recruiting firm saw in January.
Hopefully the same. But we may be an outlier.
👉We doubled down on BD efforts, so there’s some skew in the numbers.
It’s not apples to apples with the previous data. We ramped sales efforts significantly in the last couple months of 2022.
👉We recruit in 8 separate skill areas. The total combined doesn’t imply they’re all coming back at the same rate.
Technology, HR, Marketing, Sales, Finance & Account, Supply Chain, Insurance and Real Estate. (The obligatory not-so-subtle plug of what we do.)
Yes, I can break it down. Yes, I will do it next week. (A teaser, as the kids call it.)
👉Today’s takeaway: while layoffs keep happening, urgent hiring is definitely coming back.
There’s your good news for the week.
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.