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I want to discuss why sourcing is such a train wreck. But there’s a lot. Thus the Part 1. This may take a while…
For the unfamiliar, sourcing is the top of the funnel of recruiting. After you’ve determined what you’re hiring for, you:
That’s the tldr of sourcing.
Recruiters are like “duh.” Non-recruiters are like “oh there’s more to it than I realized.” And that’s the short short version.
It works exactly like a sales funnel.
Reach out to 100.
Talk to 20.
Interview 5.
Hire 1.
Again: that’s to hire 1 person.
Need to hire 5? Reach out to 500.
10? Reach out to 1000.
20? 2000.
Yes, the metrics entirely depend on the position. And if you’re making unique skill hires or multiples of the same skill set. (It’s just an example, don’t @ me, nerds.)
But you see the point. It’s a ton of work that escalates quickly at scale.
????Especially when something else in the interview process is broken to all hell.
Like what, you ask?
Anything that causes candidates to fall out of the funnel. Clunky interview process. Lacking communication. Unreasonable assessment demands. Last minute interview cancellations. Uncompelling reasons to join. Lowball salaries. Rejected offers.
In theory, all this stuff gets fixed. In practice? C’mon.
????Sourcing is asked to pick up the slack.
“Just find us more candidates. The right people will want to work here.”
Work becomes double work. Triple work. Quadr..I don’t know how to spell that but you get the point.
Why?
????The people at the top are so far removed from the people doing this work. Execs, hiring managers, even some HR leaders who never lived the recruiter life.
Sourcing demands explode – exponentially – when other hiring issues are left unchecked.
If you’re ever wondering why your position’s been open for 6 months when you just need 1 more candidate…
????It’s because you need a hell of a lot more than that.
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.
———-
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.