Recruiting Future with Matt Alder - What's Next For Talent Acquisition, HR & Hiring?

Round Up March  2026 If you’ve not listened to Roundup before, it’s a short review of the episodes that I’ve published in the last month to make sure you don’t miss out on the valuable insights that my guests are sharing. This month Round UP returns to its live format, and this is a recording of my live conversation with Rhona Barnett-Pierce , Founder Workfluencer Media, about five of the episodes...

Every platform, every feed, every channel is packed with posts and videos that increasingly look and sound like they were produced by the same machine. For employers trying to attract talent, corporate messaging already struggled to feel trustworthy, and AI-generated content has made the problem significantly worse. Candidates and consumers want to hear from real people, not polished brand account...

Over the past year, AI features in recruiting tools have seen significant adoption.  But if you ask TA Teams whether AI has changed how they actually hire, most of them will say no. Individual productivity is up, but organizational transformation hasn't followed. At the same time, AI tools on the candidate side are flooding employers with credible applications from candidates who may not be seriou...

I've recently returned from a long trip to Las Vegas, where I attended both the UNLEASH and Transform conferences. Unsurprisingly, AI dominated every session and every vendor booth at both events. The promise is huge, but the reality on the ground is a lot more complicated. Some teams are seeing genuine value from new tools. Others are finding that technology is creating as many problems as it sol...

Application volumes have surged in recent years, and many talent acquisition teams are struggling to keep up. Candidates apply and disappear into a black hole, never hearing back, never getting a real chance to show what they can do. When volumes reach into the millions, the traditional recruiting model simply breaks. There aren't enough recruiters to give everyone a fair hearing. Some organisatio...

The role of talent acquisition is changing fast. AI and automation are transforming what's possible, while CFOs and CEOs are demanding a different kind of conversation. They want to understand the value talent acquisition creates for the business and how it delivers returns that directly tie to strategic goals. The old transactional language of efficiency no longer cuts it. TA leaders who can conn...

We’re at a fork in the road for how companies adopt AI. Some are taking shortcuts, slashing entry-level roles and chasing efficiency savings. Others are slowing down to ask a harder question: how does this technology actually create new value? The data suggests that many companies are choosing the wrong path, using AI as a scapegoat for cost-cutting that is really caused by other business challeng...

Hiring processes are full of design choices that nobody ever questions. Requirements that sound reasonable but aren't defined. Formats that have stayed the same for decades. Onboarding systems built for one type of learner. Talented people are being screened out, not because they can't do the job, but because of how the process itself is designed. These aren't people failures; they're design failu...

If you’ve not listened to Roundup before, it’s a short review of the episodes that I’ve published in the last month to make sure you don’t miss out on the valuable insights that my guests are sharing. This month Round UP returns to its live format, and this is a recording of my live conversation with Ritu Mohanka, CEO at Vonq, about six of the episodes published in February 2026 Episodes featured...

Attracting talent gets all the headlines, but retention is where the real competitive advantage lives. In a market where top performers are constantly being approached by competitors and salary expectations keep rising, holding on to your best people has never been harder. At the same time, the rapid pace of AI and automation means the skills companies need are shifting faster than ever, making in...

Many talent acquisition teams are dealing with surging application volumes right now, and AI is a major factor. Candidates are using it to apply faster, at a greater scale, and with more targeted information than ever before. The instinct has been to treat candidate AI use as noise, something to filter out or push back on. That response misses the long-term implications entirely. AI isn't just a t...

For years, recruitment marketing strategies have been built around a familiar set of rules: optimize your career site, rank well in search results, and ensure candidates can find you. But those rules were written for a world where Google was the gateway. That world is changing. Candidates are increasingly turning to LLMs like ChatGPT and Claude to research potential employers, asking detailed, con...

AI transformation is accelerating, and for many organizations, the biggest risk isn't the technology itself; it's getting their strategic response wrong. Rush in without a framework, and you can destroy culture, trust, and capability. Hold back waiting for certainty, and more agile competitors will overtake you. Talent leaders are caught between these two failure modes with no clear playbook, and...

Recruiting has always been shaped by the time and resources available. Resumes are short because recruiters only have a finite amount of time to read them. Interview shortlists are small because hiring managers can only meet so many candidates. The whole funnel narrows because no team can fully evaluate everyone who applies. None of these are strategic choices, they're simply workarounds for human...

Hiring should be about finding the right person. Too often, though, the tools and methods organizations use actually work against them. Job postings filter candidates out for lacking skills they could easily and quickly learn. Competency checklists based on someone else's philosophy of what leadership looks like rather than what actually works inside their organization. Assessment tools that aren'...

The pressure on talent functions right now is intense. Budgets are tight, teams are stretched, and the mandate to do more with less has pushed many organizations to automate at speed without stopping to redesign what they were automating.  These automated decisions are attracting real legal and regulatory attention. Actions previously seen as simple process steps are now potentially being viewed f...

AI tools are changing the pace at which organizations filter and rank candidates. However, matching someone to a job description and actually predicting whether they'll perform well in the role are two very different things. Most hiring processes have never been validated against real performance outcomes, and organizations often don't have a clear, measurable definition of what success looks like...

The assurance and audit profession is facing a talent crisis. Fewer graduates are choosing it as a career, and the perception of what auditors actually do hasn't kept pace with reality. At the same time, AI is fundamentally reshaping the work itself, automating repetitive tasks and opening up entirely new service areas around cyber risk and sustainability. The profession needs different skills, di...

The talent market is full of contradictions right now. There are many people looking for jobs, but for many organisations, finding the right talent remains difficult. Caution dominates on both sides, with candidates asking harder questions about stability and culture while businesses are slowing down decision-making around headcount. AI is promising to transform recruiting, but most organizations...

Job boards have been connecting candidates with employers for over thirty years, but the relationship that made them work is fundamentally breaking down. Candidates are getting frustrated by applying for roles that may already be filled or have been taken off the market, while employers are receiving hundreds of identical, AI-generated applications they can't meaningfully evaluate. The Job Boards...

Round Up December 2025 If you’ve not listened to Roundup before, it’s a short review of the episodes that I’ve published in the last month to make sure you don’t miss out on the valuable insights that my guests are sharing. This month Round Up returns to its live format, and this is a recording of my live conversation with Mervyn Dinnen about six of the episodes published in January 2026 Episodes...

There's a significant disconnect playing out in organizations right now. Leaders understand AI is probably the most transformative technology of their lifetimes. They're making bold announcements and setting ambitious targets. Yet they're not providing the structures, ownership, or vision needed to drive real change. The result? Small pilots, incremental efficiency gains, and nowhere near the tran...

Bias in hiring has been a topic of discussion for decades, yet our understanding of what actually happens within recruiting processes remains surprisingly limited. Most research focuses on single types of bias in isolation, making it impossible to build a complete picture. Meanwhile, the arrival of AI tools is intensifying the scrutiny of hiring decisions, demanding a level of accountability that...

The constant noise around AI has created a strange situation in talent acquisition. On one side, relentless hype has made many TA leaders deeply skeptical, reluctant to invest in technology that feels oversold. On the other side, some employers have pushed through the fog and are getting genuine, measurable results from AI agents in their hiring processes. The gap between these two groups is widen...

There are now tasks in recruiting where AI genuinely outperforms humans. Holding multiple evaluation criteria in mind while scanning hundreds of applications, spotting relevant experience described in unexpected ways, and ensuring no qualified candidate gets overlooked through fatigue, overwhelm, or shortcuts. These aren't things recruiters actually do badly, but there are things humans can’t phys...