Member Headlines & Blog

Why the next era of recruiting will belong to organizations that design for clarity, capability, and trust . For most of the last decade, recruiting technology focused on one central promise: efficiency. Automation would make hiring faster. Data would make hiring smarter. Artificial intelligence would remove administrative work so recruiters could focus on the human parts of the job. In many ways, that vision became reality. Interview scheduling that once required days of back-and-forth emails now happens automatically. Sourcing platforms surface thousands of candidates in seconds. Generative AI can draft job descriptions, outreach messages, and interview ...

Master Burnett put it plainly in a post last week: "The question is not whether AI should be adopted. It is whether the system it is entering is governable." That sentence stopped me. Not because it's surprising — but because it names, precisely, what I've been watching play out in Talent Acquisition for the last several years. The University of Phoenix recently published data showing that 53% of employers report they do not have standardized workflows for Talent Acquisition. I'll be honest — I worry more about the 47% who believe they do. Either way, the implication for AI adoption is the same: ungoverned AI applied to unstandardized processes doesn't ...

If you work in employer branding or recruitment marketing, your inbox has probably started filling up with a new category of content: guides, benchmarks, and tools telling you that unless you’re optimizing for AI answer engines right now, your employer brand is already invisible to candidates. Some of that content is genuinely useful. A lot of it is vendor marketing wearing a thought leadership hat. I want to give you a more honest read because I think the underlying shift is real, but the way it’s being packaged for EB practitioners deserves some scrutiny. The Signal Is Real Let’s start with what’s actually true. Candidates are changing how they research ...

We built entire organizations around rewarding what people know. Now we’re entering an era where knowing things is the least interesting thing about you - especially as AI moves from helpful assistant to semi-autonomous coworker who never sleeps, never forgets, and has memorized your coffee order. Intelligence has always been prized. But not all intelligence is created equal. Psychologist Raymond Cattell gave us a mental toolbox: crystallized intelligence and fluid intelligence. Think of one as your mental filing cabinet, neatly stacked with years of lessons, frameworks, and expertise. Think of the other as a Tough Mudder course for your brain: messy, unpredictable, ...

DISCLOSURE: The views or comments shared by Bill Boorman within this headline reflect their own experience and opinion. According to Boorman, they have no financial relationship, sponsorship, or partnership with any vendors, services, or affiliates mentioned here. by Bill Boorman 2026 is opening with a clear imbalance: Job seeker activity is rising sharply, while the number of available jobs is lower than a year ago. According to Austin, Texas-based labor market data firm LinkUp , advertised job listings in January were roughly 12% lower than at the same point last year. That year-on-year decline reframes the surge in search and application ...

When it comes to candidate experience, communication is where it lives and dies. On February 18th, 2026, we hosted a JobSync roundtable featuring Kerry Noone from Ford Motor Company and Geoff Webb from Organon to explore the strategies, tactics, and philosophies behind effective candidate messaging. Here's what we learned. The Philosophy: Quality Over Quantity Both Ford and Organon shared a common belief: it's better to send fewer, more impactful messages than to spam hundreds of candidates with generic templates. Geoff Webb emphasized this point directly: "My philosophy is that it's better to message fewer people and have it be more impactful ...

When ChatGPT launched in 2022, we didn’t just adopt a new tool. We crossed a threshold. In what felt like a single quarter, AI moved from novelty to necessity. What used to be dismissed as an intrusive website chatbot is now embedded into how we plan, write, analyze, recruit, and make decisions. Adoption happened fast. Reliance happened faster. The implications — personally and professionally — are still unfolding. Many are predicting that 2026 will be the year organizations are expected to prove meaningful return on AI investments. That accountability is appropriate. But in HR tech and talent acquisition, we need to be clear-eyed about something: ...

We're hearing it from our TA leaders every week... AI is being embedded into hiring workflows and it is changing the way they approach nearly every process. Expectations around reducing interview bias are intensifying. And behavioral data is playing a more deliberate role in how candidates are evaluated and compared. Individually, none of these trends are new. Together, they are transforming interviewing from a series of conversations into a system that needs to be explainable, consistent, and defensible. That shift is the focus of CareerXroads’ latest research report: How AI, Bias & Behavior Are Shaping the Future of Interviewing. Based on conversations ...

If you were leading recruiting or talent acquisition in 2025, the year likely didn’t register as a single turning point. Employer demand didn’t disappear, and it didn’t suddenly surge. Instead, job posting activity moderated and became more deliberate. Across the market, employers appeared to weigh talent decisions more carefully. Fewer roles were advertised simultaneously, approvals seemed more measured, and job posting patterns suggested a move away from broad expansion toward tighter prioritization. At the same time, conditions became less predictable for candidates. With fewer advertised openings and slower job mobility, competition for posted roles likely ...