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

As many as 1 in 7 people are neurodivergent, with brains that process information, communicate, and work differently. Many have ADHD, autism, dyslexia, or other conditions they've hidden throughout their careers, masking to fit workplace norms. But creating environments where these individuals thrive isn't about expensive accommodations or special treatment. Instead, it's about designing work that helps everyone perform better. So how do you move beyond awareness training to actually embedding inclusion in daily operations, and how can this benefit everyone in the workforce? My guest this week is Pamela Kavanagh, Chief People Officer at Exogen. In our conversation, she shares practical strategies for creating workplaces where everyone can do their best work. In the interview, we discuss: What neurodivergence actually means at work Performance enhancers instead of reasonable accommodations Creating psychological safety for disclosure Small things that make big differences and help everyone. Embedding inclusion in everyday operations Making recruiting better for everyone  Why eye contact shouldn't determine capability Making the business case to leaders AI and the future Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Michael Tchong, a futurist and founder of Ubertrends Academy, dives into the unique challenges and opportunities presented by AI. He discusses how AI differs from previous technological revolutions, focusing on its capability for rapid improvement. Michael emphasizes the importance of distinguishing between hype and true innovation, and shares strategies for building hybrid human-AI organizations. He highlights the potential for job disruption while outlining practical upskilling techniques to thrive alongside AI in the evolving workforce.

The economic, demographic, and technological forces of change are continuing to drive disruption, confusion, and chaos. Against the backdrop of this ever-shifting landscape, TA Leaders are expected to deliver greater value to their organizations than ever before. So how are they planning to do this in the next 12 months? What are the strategic priorities, how are budgets being impacted, and where and how is AI being deployed to help? My guest this week is Sven Elbert, Head of Analyst Services at Fosway Group. Fosway recently published TA Realities Research, a survey of European TA Leaders on their strategic priorities and budgets for the coming year. In our conversation, we dig into the details, discuss surprising results, and identify a significant issue with how AI is currently being used. In the interview, we discuss: TA's challenges and shifting priorities Budget pressure and significant implications for agencies How will TA deliver value to their organizations in 2026? The AI adoption cycle and cutting through the hype Why isn't AI being used to solve strategic problems? Basic AI features versus transformational AI features What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Most organizations approaching AI are struggling and running pilot projects that go nowhere. The common assumption is that the technology itself is flawed, over hyped, or too complex. However, the employers that are succeeding with AI have discovered something different. The technology isn't the problem, and the real barriers are human. Employee resistance, fear about job security, and the inertia of doing things the way they've always been done. What makes the difference between AI projects that fail and those that transform how teams actually work? My guest this week is Taylor Bradley, VP Talent Strategy & Success at Turing. In our conversation, Taylor shares how he built grassroots adoption in his team by starting with simple prompt libraries, the framework for deciding what should be automated, what should be augmented, and what should be left to humans, and why every AI project is really a human change management project in disguise.. In the interview, we discuss: Unlocking AI's full potential The most significant challenges when implementing AI in HR and TA Why AI pilots fail AI projects are actually human change management projects The inertia of the status quo Talent use cases When to augment and when to automate Breaking down roles into tasks Surprising measures of success How HR and TA roles need to evolve Considering adverse impacts What will the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

To survive as a function, it's clear that TA teams need to become strategic partners to their businesses rather than service providers. But what does that really mean in practice? It's easy to talk about being strategic, but the execution is where most teams struggle. The challenge isn't just about new processes or technologies. It's about fundamentally different ways of communicating with hiring managers and stakeholders. It's about asking better questions, listening more effectively, and knowing when to challenge decisions without creating unnecessary friction. So, how do you build a TA Team of Talent Partners? My guest this week is Jeff Soto, Vice President Talent Acquisition (Americas) at Sony Music Entertainment. In our conversation, Jeff reveals the specific techniques his teams use to partner with the business and why communication skills matter more than ever in our age of technology-driven disruption. In the interview, we discuss: The essential skills required in TA right now. Talent Advisory versus Talent Partner Adopting a coaching mindset Active listening, clarity, and summarizing  Persuading with data, analytics, and insights Challenging hiring managers in non-adversarial ways What will the TA team of the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Something fundamental has shifted in how people find work. Job boards that dominated for decades are losing their effectiveness. Candidates are overwhelmed and skeptical. Employers are drowning in applications that are all the same. The old playbook simply isn't working anymore. Meanwhile, the TikTokification of communication and the rise of the creator economy are reshaping the marketing landscape. People trust other people more than corporate messaging and want to hear authentic voices, not polished PR. So could this approach work for hiring? My guests this week are Tracey Parsons, CEO of Flockity, and J.T. O'Donnell, founder of Work It Daily. In our conversation, they explain how the influencer model not only has the potential to transform talent attraction but could also fundamentally change the way recruiting works. In the interview, we discuss: What's gone wrong with job boards and the job search The loss of trust The reality of interest-based algorithms The growth of the knowledge creator economy Using influencers to promote jobs How job seekers and employers feel about influencer marketing Why the recruiting process needs radical updating Inserting the right friction points in a seamless experience What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future Round Up is back in a brand-new live format. Round Up has always been a quick way to catch up on the most important insights from the month’s Recruiting Future interviews. Now we’re taking it further, streaming live on LinkedIn, Facebook, and YouTube so you can join the conversation in real time. In this recording (previously live) Matt is joined by special guest HR Analyst Mervyn Dinnen, as they look back at September’s seven interviews.  Episodes featured in this Round Up: Ep 727 Becoming A Long-Haul Leader Ep 728: The Problem With Bias Ep 729: Using AI Responsibly In TA Ep 730: Is Recruitment Marketing Stuck In A Rut? Ep 731: Recruiting Top AI Talent Ep 732: Are Job Interviews Obsolete? Ep 733: Making Sense of HR Tech’s AI Explosion Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruitment marketing is undergoing a fundamental shift as AI transforms the way work is done and who does it. Marketing automation is evolving at a rapid pace and will drive significant, efficient gains, but what is the impact of originality, creativity, and strategic thinking? So how are recruitment marketers evolving, and what should employers now expect from their recruitment marketing teams and agencies?  My guest this week is James Whitelock, Managing Director at ThinkinCircles Recruitment Marketing. In our conversation, James reveals what employers should demand from modern recruitment marketers, which skills remain irreplaceable, and how to build teams that leverage AI without losing human creativity. In the interview, we discuss: How AI is democratising recruitment marketing The ever-growing scale and scope of automation Strategy and creativity How can employers stand out from the AI-generated "slop" Brand building, story telling and tech orchestration What skills are now needed in recruitment marketing Building out capability Can AI help recruitment marketing to be properly strategic? What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

We have been discussing skills for so long that there is a temptation to dismiss anything skills-based as just another set of buzzwords. However, if anything, we aren't talking about skills enough and certainly not in the holistic way we need to be. Forward-thinking companies are already using skills-based approaches to solve critical business problems. These aren't abstract HR initiatives but data-driven transformations directly tied to revenue and operational outcomes. AI is helping to deconstruct jobs into tasks, map skills with precision, and deploy talent with unprecedented flexibility. So how are organizations making this transformation, and what does this mean for talent acquisition's role in driving business strategy? My guest this week is Craig Friedman, Talent Skills Transformation Leader at St. Charles Consulting Group and author of the book "Enterprise Skills Unlocked,". In our conversation, he shares how skills-based organizations are solving real business challenges and fundamentally changing how HR and talent acquisition deliver value. In the interview, we discuss: Definitions and drivers Moving from skills curious to skills ready A data-driven HR Transformation Building more effective talent processes by linking skills to people The workforce planning revolution Moving from headcount planning to capability planning True talent intelligence The role of AI Driving mobility and opening up talent markets Aligning HR and TA to business outcomes and strategy Getting started What the future will look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

I recently returned from my annual pilgrimage to the HR Technology Conference in Las Vegas. There are a ton of conferences in our industry, but HR Tech still remains the event to come to for the most comprehensive view of innovation in talent acquisition. It is clear that things are moving fast with technology; AI is already moving from narrow, single-use tools to orchestration layers and multiple agents that promise to revolutionise talent acquisition. Unfortunately, it is making the tech landscape very difficult to understand from a buyer's perspective, as traditional software categories are collapsing. At the same time, the legacy cornerstones of the recruiting process, resumes, interviews, and job descriptions, are looking increasingly inadequate, with candidates and employers caught in an AI arms race that is currently making the experience worse rather than better. So how can TA leaders cut through the noise, balance efficiency with fairness, and bring humanity back into recruiting while taking advantage of the enormous potential AI offers? What new skills will be needed to lead in this environment, and how do organisations avoid just using AI to do the wrong things faster? While I was at the show, I caught up with two of my regular podcast guests, Allyn Bailey, Senior Director of Brand and Communications at SmatRecruiters, and Daniel Chait, CEO of Greenhouse, both of whom offered some sensible guiding insights into what is becoming a very complex space. In the interviews, we discuss: Blurring categories of vendors is confusing for buyers. AI's next phase of orchestration layers and multiple agents The importance of open systems Will we finally see the end of resumes? The surge of AI interviewing Why the candidate experience keeps getting worse Balancing efficiency with fairness and keeping humans in the loop The new skills TA Leaders need Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.