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

Application volumes are climbing fast, and AI has made it far easier for candidates to produce a strong-looking resume. For talent teams trying to give every candidate a fair hearing, the traditional model of recruiting is starting to break down. Some employers are now handing the first conversation to an AI voice agent, and that raises some obvious concerns. Does automating the first step strip o...

Over the last year, I have been using AI to develop a searchable archive of the content in every episode of Recruiting Future, 3 million words from over a decade of unscripted conversations with practitioners and thought leaders across talent acquisition. James Whitelock, host of The Marketing Rules Podcast, has been doing the same thing with his own archive of more than 200 episodes over seven ye...

The talent market is sending mixed signals. Employers insist they can't find the people they need, while experienced, capable candidates say they are applying into a void and hearing nothing back. Both are describing the same market, so something in the middle is failing. A lot of recruiting technology was built to handle volume, to move large numbers of applicants through a process quickly. What...

As AI reshapes how work gets done, the most valuable thing a person can bring to their job isn’t recent task experience; it is the depth of judgment, sector knowledge, and decision-making that takes years to build. That is precisely what AI augments rather than replaces. However, in a cautious hiring market, recency is being given overinflated importance, and a large pool of deeply experienced pro...

AI offers a genuine opportunity to reinvent talent acquisition, but not many employers have gone beyond targeting incremental improvements in speed and efficiency. The ones who are truly using AI to be transformational are doing something fundamentally different. It takes a real commitment to experimentation, a clear definition of what AI fluency means, and a willingness to redesign hiring from sc...

The way people look for work is changing fast. A growing number of job seekers now begin by using tools like ChatGPT, asking questions in plain language about roles, salaries, and what it's actually like to work for a company. It is a very different starting point from typing a job title into a search box and scrolling through pages of aggregator links. At a time when employers are drowning in low...

A growing number of organizations are rushing to put AI to work, often announcing themselves as AI-first before working out what that actually means. What many are finding is that AI tends to surface whatever was already underneath. Where the data is patchy, the content conflicting, and no one quite owns the end-to-end process, the technology exposes all of it rather than fixing any of it. At the...

Recruiting has always had an innovation problem, and the AI revolution has brought it to a fork in the road. Will AI facilitate a revolution in hiring that drives more value than we have seen in 200 years or will it finally break recruiting as we’ve always known it.  In this special 800th episode of Recruiting Future, Matt Alder tells a story that brings together Cornish Tin miners migrating to Me...

In some industries, aging workforces and deepening skill shortages mean companies can no longer rely on hiring the experienced workers they need. The only realistic option is to grow their own, and that puts apprenticeship schemes right at the centre of workforce planning. Running a programme at that scale raises questions that go well beyond recruiting. Culture shapes whether people stay, mentori...

In frontline industries, if you can't hire fast enough, the operation stops. A restaurant that can't fill shifts doesn't open. A delivery company that can't onboard drivers loses customers overnight. This constant pressure has pushed frontline employers to adopt AI and automation faster and further than any other area of recruiting. Frontline hiring is now where some of the most advanced AI-driven...

The race to develop humanoid robots that can work alongside people in factories, warehouses and retail environments is attracting billions in investment. The talent powering this revolution is in critically short supply. Specialist AI researchers, robotics engineers, and machine learning experts are being sought by every company in the sector, from global tech giants to ambitious startups. So, in...

Employee engagement remains one of the most talked-about challenges in the world of work. Year after year, the data tells the same story: levels barely shift, no matter what organizations try. The usual response is to focus on what happens once people are already in the door, but the results rarely change. At the same time, AI is reshaping roles and expectations, making employees question their va...

In frontline retail hiring, speed is everything. If the process is too slow, candidates take offers elsewhere, and stores are short-staffed, hurting both service and revenue. AI-powered automation is now helping some organizations close that gap, cutting hiring times, saving thousands of hours, and driving measurable financial value for the business.  The organizations seeing real results started...

When organizations hire thousands of frontline workers, delivering a personal candidate experience becomes almost impossible. Recruiters spend all of their time answering calls, responding to messages, and running through the same screening questions over and over. There is little time left for the conversations that actually matter. Meanwhile, candidates want speed, flexibility, and a process tha...

HR is at a pivotal moment. AI has shifted the conversation in a way nothing else has in years, the demands on the function are growing faster than its capacity to respond, and the questions being asked of it are bigger than they have ever been. The opportunity is significant, but so is the gap between where HR is and where it needs to be. So what does it actually take for HR to step into this mome...

Talent acquisition is sitting in a strange place right now. AI is in every conversation, but the work of actually hiring people is getting harder rather than easier. Application volumes are swinging in unpredictable ways, the workforce itself is changing shape, and the reality on the ground is some distance from the hype. So what is actually going on in talent acquisition right now? In this episod...

The real value of AI agents in HR comes from connecting them to work across the employee lifecycle, not from deploying them on individual tasks. That's where most large organisations are getting stuck. Working in a fully agentic way means dealing with different systems and different data sources that often have no shared foundation. The result is fragmented experiences for employees and managers,...

We're living through one of the most consequential shifts in how work gets done. AI is everywhere in headlines and vendor pitches, but the reality inside organisations is far more nuanced than the noise suggests. Personal adoption is running well ahead of how companies are embedding the technology into actual workflows. Demographic changes continue to tighten labour supply, and the HR tech vendor...

Something has shifted in AI over the last few months. The pace of AI model updates keeps increasing, and strategies that made sense a few months ago are already out of date. New tools can take on long, complex pieces of work largely on their own, changing what's possible across hiring. For TA leaders, long-term planning has become almost impossible, while the recruiter's role itself is being retho...

We live in a world where recruiters can connect with thousands of people with a single click. LinkedIn, CRMs, and AI tools all promise to manage relationships at a scale unimaginable a generation ago.  The challenge is that genuine trust doesn't scale automatically. When interactions become automated and transactional, the very thing that makes recruiting work starts to break down. People still hi...

Many organizations are struggling with attrition, disengagement, and costly mis-hires that quietly destroy value. The real problem isn't finding talent, it's creating conditions where people can perform. Research suggests that when people feel they belong, organizations see significant gains in productivity, retention, and innovation. Belonging can be measured, built into how work gets done, and c...

AI skills are quickly becoming a baseline expectation in hiring, with more employers adding AI fluency to their job descriptions every month. Yet when you ask those same employers what AI fluency actually looks like for the vast majority of roles that aren't deeply technical, most struggle to answer.  Universities still treat AI primarily as a cheating problem, restricting how students use it rath...

AI is reshaping how work gets done, but the hiring process hasn't caught up. Employers are asking for AI skills they can't clearly define, while application volumes hit record levels. Resumes mean less than ever because candidates can now use AI to tailor them to any job in seconds, and traditional screening methods are struggling to keep pace. At the same time, something more interesting is happe...

Talent acquisition has always been built around the individual. Find the right person for the right role. But once someone joins a team, something far more complex takes over. How people combine matters as much as who they are on their own. Every person brings a unique mix of human qualities that affect how they work with others. Factor in all those qualities across all the possible ways a team co...

Every organization knows it needs to adopt AI. Far fewer have worked out how to bring their whole workforce along for the journey. Telling employees to use new tools rarely works, and many companies are stuck with pockets of enthusiastic early adopters alongside large groups who feel the pace of change is simply too much. Getting from scattered experimentation to genuine organization-wide adoption...