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Traditional job postings are dead. (Maybe they were never alive to begin with.)
3 reasons why & 2 things to focus on:
1. Job descriptions were never designed to attract. Only to cover HR’s ass.
Shout out to Mitch Sullivan, who’s long said: job descriptions are not job ads.
Legal disclaimers. Bloated jargon. Unrealistic wish lists. Usually copy-pasted.
Thinking compliance-driven copy is effective marketing is silly. And somehow, still common.
Mitch explains it better than I can, so go check him out. Moving on…
2. Most top talent isn’t looking. They’re listening.
Without starting a flame war over what qualifies as “top talent,” I think we can all agree that the people scrolling job boards are either not working or really, really hate their job. Anyone engaged in work is…working.
And yes, there are great people who are unemployed or hate their boss! But they’re a small slice of the total talent pool.
The point is this: as a marketing tool, job ads only pop up with a sliver of the population because you have to actively seek them out. Most people aren’t doing that.
3. AI inverted the candidate pipeline.
I won’t rehash how AI lets job seekers apply to hundreds of jobs in 1 click, breaking the inbound funnel. (Job seekers, if you thought competing against a hundred other candidates was bad, now it’s a thousand.)
But here’s the part most miss:
👉Sending a job application is not the end of the research process for job seekers, it’s the beginning.
Every recruiter is familiar with that candidate who applied, and when connecting with them live, doesn’t really remember doing so. Not a new concept.
But it’s happening all the time now.
Some people research companies thoroughly before applying. Others bang the send button and figure it out later.
The first group shrank. The second exploded.
Which means: most applicants don’t know who you are. Let alone care.
Meaning:
👉Talent acquisition teams need to sell to their inbound candidates. Far more than they used to.
This in itself pops up in two ways:
1. Content is not only the top of the funnel, but sells though the funnel.
I know, I know. “Guy on LinkedIn says content matters. Shocker.” But it does.
But it is. Since 2021, 50% of Hirewell’s new hires first heard of us through content. Not a job posting.
Video job briefs. Personalized voice DMs. Thought leadership pieces by execs/hiring managers. And my personal favorite: an FAQ.
(Literally write down every question interviewees ask you, answer them all, post them on your web site and pieces of it on social media.)
Attracting talent has to occur where they hang out. Not where AI is spamming their resumes.
2. Recruiters have to actually recruit inbound candidates.
No offense to newbie recruiters, we all had to start somewhere.
The days of passively scheduling inbound applicants are over.
👉You have to headhunt them. Just like your outbound candidates. Wild.
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.