Recruiting Future with Matt Alder

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, different mindsets, and a completely different value proposition for the next generation of talent. So how do you transform a workforce of over a hundred thousand people while simultaneously making the profession attractive to a generation that wants purpose, flexibility, and career agility? My guest this week is Sandra Oliver, Global Assurance Talent Leader at EY. In our conversation, she shares how EY is reskilling auditors at scale, bridging generational divides around technology adoption, and repositioning audit careers as a launchpad for business leadership. In the interview, we discuss: Attracting Gen Z to the audit profession AI's impact on day-to-day audit work Upskilling 130,000 professionals in AI Bridging the generational technology gap Reverse mentoring between junior and senior staff. Purpose and meaningful work as talent drivers How will audit careers evolve over the next five years? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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 are still working out where it fits. Through all of this, talent acquisition is clearly evolving. The best teams are thinking about workforce planning, internal mobility, and skills rather than just filling requisitions. However, many of them are still measuring themselves on time-to-hire and cost-per-hire, metrics which capture efficiency but say nothing about real business impact. So what comes next for TA, and how should teams measure what actually matters? My guest this week is Bharat Siyani, VP of People and Culture at Elmo Software. In our conversation, he explains what a broader set of success metrics looks like, where AI genuinely helps versus where humans must lead, and how he sees TA's role changing over the next few years. In the interview, we discuss: The contradictions in today's talent market Finding the signal in the noise The importance of understanding nuance in recruiting What should AI do and what should humans do? How should organizations measure the impact of TA? Efficiency metrics versus value metrics Assessing tech talent at a time of high layoffs Skills and outcomes versus job titles TA's role in shaping the workforce What does the future of the TA team look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly.

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 sitting between them are trapped in business models that reward volume over quality, which only makes the problem worse. The result is a trust crisis that threatens the entire ecosystem. When neither side believes the process is fair, the whole system starts to unravel. So what would it actually take for job boards to rebuild that trust and stay relevant? My guest this week is Lou Goodman, a job board strategy expert who recently partnered with Jobiqo to produce a major new report on the future of job boards. In our conversation, she explains why the industry is stuck repeating the same patterns, what job boards can learn from other platform businesses, and whether evolution or extinction is the more likely outcome. In the interview, we discuss: Why job boards still matter in today's market The trust crisis threatening the ecosystem. How AI is amplifying weaknesses rather than fixing them Procedural justice and why fairness matters more than outcomes The shift from quantity to quality Where job boards can add value in the process Why short-term fixes become long-term patterns Lessons from other two-sided platform businesses What is the future for job boards? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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 December 2025 Episodes featured in this Round Up: EP 758: Extracting Real Value From AI In TA Ep 759: Career Sites and the Growing AI Gap Ep 760 Co-Creating The Future Of TA Ep 761: What Happens When Recruiters Embrace AI? Ep 762: Moving From AI Hype To AI Value Ep 764: Rewiring Organizations For AI Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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 transformation everyone keeps talking about. The issue isn't the technology. Organizations simply aren't wired for transformative change, particularly when it cuts across departments and functions. Nobody owns it, and there's no clear model for what the future should look like. The implications for talent, skills, and how we think about work are enormous. What does it actually take to rewire an organization for the AI era? My guest this week is Stephen Wunker, co-author of "AI and the Octopus Organization". In our conversation, he shares what's really happening, what's holding companies back, and what this means for talent professionals. In the interview, we discuss: The gap between what CEOs are saying and what is actually happening What is holding AI transformation back Distributed innovation What is an “Octopus Organization”? The role of human judgement and the need for more critical thinking Examples of companies that are succeeding Talent and culture What will happen to the adoption rate? Where will we be in two years' time? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly.

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 many organizations simply aren't prepared for. TA leaders often assume they know where bias exists in their processes. But what if those assumptions are wrong? What if the patterns are more complex and counterintuitive than anyone expected? My guest this week is Bas van de Haterd, Co-founder of the TA Audit Institute. In our conversation, he shares findings from new research that challenges conventional thinking about where bias actually occurs and reveals how much we still don't know. In the interview, we discuss: Research methodology and sample size How this research compares to previous academic research What was measured and what was not measured What do the results tell us about bias in the hiring process? Is bias universal, institutional, or personal? Are employers doing better at removing bias than they think? Using data to drive targeted change Lessons learned and advice to TA Leaders. What's the future direction of the research? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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 widening fast. So how do you separate what actually works from what's just marketing? What does effective AI agent implementation really look like in practice, and what value is it driving for the employers embracing it My guest this week is Max Legardez Coquin, Founder and CEO at Maki. I saw Maki's technology in action at UNLEASH last year and was genuinely impressed by what they're delivering for a variety of enterprise employers. In our conversation, Max explains how using AI to develop a scientific approach to hiring is driving tangible value in terms of quality, speed, efficiency, and a vastly improved candidate experience. In the interview, we discuss: Making recruiting a science Capturing signals to make better hiring decisions AI agents, the case studies that show they are working What do candidates think about this level of automation? Using compound intelligence to drive predictive hiring Advice to TA Leaders on recruiting transformation Will adoption rates increase this year? What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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 physically do at scale that the current market requires For many recruiters, that reality feels threatening. However, those who embrace AI as a partner rather than a replacement find they have more time for meaningful candidate conversations. Hiring managers get better-matched shortlists. Candidates finally feel seen and understood. Everyone wins. My guest this week is Dr Ali Raza, CEO at Bytespark.ai. Ali is a former academic turned recruiting AI pioneer. In our conversation, he uses his hands-on experiences to explain exactly what AI does better than humans in the screening process, and why recruiters who adapt will thrive rather than disappear. In the interview, we discuss: Quality candidates are being drowned out in a sea of applications Where AI will always be better than humans Mixing the best of AI and the best of human recruiters Enabling a high level of candidate conversations Data-driven thinking Increased transparency with hiring managers Should recruiters be worried about being replaced? What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Strategic partnerships in talent acquisition can mean the difference between incremental improvement and transformational change. But what does a true strategic partnership actually look like? How do you move beyond the traditional vendor-client relationship to genuine co-creation? My guests this week are Simon Bishop, Head of Talent Acquisition at SoftwareOne, and Ritu Mohanka, CEO at VONQ. Their partnership spans employer branding, recruitment marketing, and agentic AI deployment—all while Software One was navigating the complex integration challenge of merging two TA functions post-acquisition. Their collaboration was central to VONQ's recent launch of EQO, their agentic AI platform. SoftwareOne was a development partner, helping shape the product through real-world testing and feedback. You can watch the full launch on VONQ's LinkedIn page. In the interview, we discuss: How the partnership evolved over time Building employer brand in competitive markets Multi-channel brand-led recruitment marketing campaigns Piloting and implementing agentic AI The vital importance of transparency and explainability Managing change and recruiter adoption Candidate reactions to AI screening Navigating TA through a major acquisition What the future of talent acquisition will look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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 Pierce about six of the episodes published in December 2025 Episodes featured in this Round Up: Ep 751: The Trust Problem In Recruiting Ep 752: Using Job Architecture TO Drive Value From AI Ep 753: Hiring Exceptional Executive Talent Ep 754: Finding Clarity In Recruiting Chaos Ep 755: Balancing Automation with Authenticity EP 756: TA Trends that Matter Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

There's something paradoxical happening with corporate careers websites right now. After years of broken links, mobile application nightmares, and clunky technology implementations, organizations are finally getting the basics right. Mobile experiences are improving. ATS systems are working properly. The longstanding problems we've talked about for years are finally being addressed. However, while we've been busy fixing problems from 2015, the world has moved on. Candidates now expect conversational AI that can answer their questions in real time. They want personalized experiences that adapt to who they are and where they are in the process. Increasingly, they're using tools like ChatGPT and Gemini to research employers before they even visit a career site. The question isn't whether your career site works anymore. It's whether it can deliver what candidates now expect. My guest this week is Bas van de Haterd, who runs the industry's largest continuous corporate career site research programme. In our conversation, he shares the surprising findings from his nineteenth year of research and explains what employers need to do to prepare their career sites for an AI-driven future. In the interview, we discuss: How careers sites have evolved in the last 12 months AI application policies A reduction in DEI content The low adoption rates of conversational AI Improved mobile experiences and solving long-term problems Delivering a personalized experience Making career sites visible to AI tools How to make career sites fit for the future Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Last year brought plenty of AI hype, but actual adoption in talent acquisition remained tentative. Some organizations ran pilots, most watched from the sidelines, and expectations stayed cautiously low. The technology advanced rapidly, yet widespread implementation lagged far behind the headlines. Now, heading into 2026, there's a genuine opportunity to move beyond experimentation. But extracting real value won't come from simply buying the tools. It requires building entirely new capabilities around continuous workforce transformation and reskilling. The organizations that crack this will pull ahead. Those waiting for AI to deliver results on its own will be left wondering what went wrong. So what actually needs to change for companies to see a return on their AI investments? My guest this week is Jonathan Kestenbaum, Managing Director at AMS. In our conversation, he shares his 2026 predictions for AI and outlines the transformation TA needs to make. In the interview, we discuss: The complexities of AI implementation Is workforce planning the missing link in AI transformation? Blockchain and identity Hiring manager experience as the new KPI The need for more context and the end of the resume Innovation is outpacing regulation Increasing velocity in internal mobility How will the technology develop over the next few years?

AI is the most disruptive technology we've seen in our careers, but most industry conversations stay at the surface level of use cases and future predictions. This special bonus episode goes deeper. These four interviews, taken from a behind-the-scenes film I recently made, explore how AI recruiting products actually get built. We're talking to the people who created SmartRecruiters' AI-first platform Winston to uncover the lessons TA professionals need for their own AI transformation. Featuring: Shefali Netke, VP of Design, on how design decisions shape AI adoption in enterprise recruiting Thibaut Allard, Global Data Privacy & AI Lead, on navigating AI compliance where global regulations and rapid innovation collide Dave Novak, Global Director of Managed Services, on what it actually takes to turn AI ambition into operational reality Nicole Hammond, VP, Center of Excellence, on building true AI readiness from early mindset shifts to sustained capability If you want to understand the architecture, the legal landscape, and the human side of making AI work in recruiting, this is the episode.

The pandemic forced organizations to rethink how they engage their people, with many old rules torn up almost overnight. Five years on, AI has arrived and changed the game again.  Leaders are now facing a new set of questions. How do you design experiences that attract and retain talent while driving the performance your business needs? And how do you prepare for a future that's increasingly impossible to predict? So, how do you build a truly future-ready strategy for employee experience? My guest this week is Jacob Morgan, author of the upcoming book The Eight Laws of Employee Experience. In our conversation, Jacob shares insights from over 100 CHRO interviews that he has conducted around employee experience and reveals the principles that separate thriving organizations from those struggling to keep up. In the interview, we discuss: What's changed about the employee experience in the last five years? Proactively planning for the future The eight laws of employee experience Empathetic excellence Using AI to amplify humanity Enablement and augmentation Personalization at scale Run culture like an operating system TA & the employee experience What are the biggest changes going to be in the next two years? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Hi there, welcome to Episode 756 of Recruiting Future with me, Matt Alder. Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Foresight. Making sense of talent acquisition right now feels impossible. Every week brings new technology announcements, shifting economic signals, and conflicting advice about what comes next. It's tempting to chase the latest headline or follow gut instinct, but reactive decision-making rarely ends well. Understanding key patterns helps separate signal from noise, and this is where genuine trend analysis grounded in real data becomes invaluable. So what trends are shaping TA heading into 2026, and how should leaders respond? My guest this week is Susan De La Vega, SVP Global Tech and Client Experience at Korn Ferry. Korn Ferry has just published their 12th annual TA trends report, built from interviews with over 1,600 global talent leaders, and Susan shares what the research reveals about where talent acquisition is heading. In the interview, we discuss: The biggest TA challenges we have seen this year Methodology behind Korn Ferry's TA Trends Report Changing attitudes and approaches to AI Why your next hire might not be human The importance of mapping tasks Investing in future talent Can TA get a seat at the table? Breaking the silos in the talent function Advice to TA Leaders on strategies for 2026 What does the future look like in 3 years' time? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

We've been talking about automation in recruiting for a long time. The AI developments of the last two years have significantly shifted the landscape of what is possible with automation, making it a strategic imperative rather than a nice-to-have. However, the current situation is pretty problematic. Some recruiters and TA teams are doing it poorly, particularly in outreach, inundating candidates with generic, obviously AI-generated messages that all sound the same. Meanwhile, many recruiting teams are resisting automation entirely, concerned about losing the human connection that actually fills roles. At the same time, in a world of AI sameness, brand, reputation, and genuine relationships with a talent pool are becoming the real competitive advantage and the key factor that actually drives response. So how do recruiters balance automation with authenticity while building the credibility that cuts through the noise? My guest this week is Mark Whitby, founder of The Resilient Recruiter podcast. In our conversation, he discusses what should be automated, what must remain human, why investing in your brand now will determine your future success, and the role external recruiters can play in rebuilding trust in the hiring process. In the interview, we discuss: The current situation with automation in recruiting Reticence, bad strategies, and poor implementations The importance of the personal touch What are the essentially human parts of the hiring process? Multi-touch and multi-channel outreach How external agencies can help build trust with candidate How will AI change the agency market? The vital importance of brand and relationship building What will the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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. I hope you have been enjoying the live Round Up episodes we've been doing over the last few months. This month sees a brief return to the old school format, but don't worry, Round Up Live will return in January Episodes featured in this Round Up: Ep 742: Aligning Hiring with Values Ep 743: The Talent Acquisition Revolution Ep 744: How Job Ads Impact Quality Of Hire Ep 745: Recruiting Excellence In Disruptive Times Ep 746 Building Digital Trust In Hiring Ep 747: Rethinking Fairness in Hiring Ep 748: The Real Value Of AI Agents Ep 749: Recruiting Past, Present, and Future (Live at TA Tech) Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

It's easy to feel overwhelmed by the pace of change in talent acquisition. AI developments, vendor mergers and acquisitions, a confusing technology landscape, and shifting candidate behaviours are just some of the current trends making everything feel chaotic. But if we take a step back and look carefully, patterns start to emerge. There are clues everywhere to what the future will look like. So how do we make sense of it all? My guest this week is Adam Godson, General Manager of Paradox at Workday. In our conversation, Adam cuts through the noise, explains how the agentic future is taking shape, discusses what Workday's acquisition of Paradox means for the market, reviews the predictions he made on the show this time last year about 2025, and shares where he thinks things are heading in 2026 In the interview, we discuss: Whether Adam's predictions from this time last year were accurate Workday's acquisition of Paradox The power of end-to-end employee lifecycle data The potential power of agentic AI Frontline hiring and how it has evolved AI development Will candidates have their own career agents? The confusing TA and HR technology marketplace What will the future look like? Predictions for 2026 Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Despite the challenging economic landscape and wave of layoffs across many sectors, finding exceptional senior talent remains a challenge, and many employers are making it worse for themselves. Trust has eroded with lengthy interview processes, poor candidate experience, and misaligned employer branding are pushing top talent away. With as many as one in four workers set to be over 55 by 2031, age-related biases are also causing employers to overlook exactly the experience they need The best insights always come from looking at things from the job seeker's point of view, and that is precisely the insight my guest this week can offer us. Loren Greiff, Founder of Portfolio Rocket, is a career strategist for C-Suite executives. In our conversation, she reveals how top candidates assess roles, what builds and destroys trust in executive hiring, and why your process might be filtering out your best prospects. The frameworks Lauren discusses will also be very relevant to TA leaders navigating their own career moves. In the interview, we discuss: The current state of the market Cutting through the noise Identifying urgent and expensive problems Use of AI in the executive job search The hidden cost of age bias Highlighting the trust issue Ability, agility, and adaptability The future of careers and jobs Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Skills, tasks, jobs, activities. These terms get used interchangeably across HR and talent acquisition, but they mean fundamentally different things. Skills are attributes of people. Tasks are components of work. Jobs are bundles of activities.  Having clarity here matters more now than ever. As AI begins reshaping how work gets done, organisations need a precise understanding of their workforce at the task level. Without clear taxonomies, it becomes impossible to understand how to effectively implement AI for automation and augmentation. So how should companies be preparing to take the most advantage of the inevitable shifts AI will bring? My guest this week is Ben Zweig, CEO of Revelio Labs and author of the new book Job Architecture. In our conversation, he explains how to build effective taxonomies cheaply and scalably with LLMs and why this foundation is critical for navigating change. Ben also teaches Data Science and The Future of Work at NYU Stern and talks through an invaluable framework for assessing the likelihood of AI-driven job displacement. In the interview, we discuss: Why grouping people is the core of any HR analysis. What we get wrong about skills, jobs, tasks, and activities Why skills aren't the right unit of observation to analyse jobs AI automates tasks and activities, not jobs and skills. The vital importance of taxonomies Using LLMs to build taxonomies cost-effectively at scale. What are the advantages of doing this properly? The three forces that help measure the potential for AI-driven job displacement What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Uncertain economic times, high volumes of layoffs, and easy access to AI tools mean many employers are dealing with an unprecedented number of applications. Recruiters are overwhelmed, candidates are getting ghosted, and trust in the recruiting process is suffering. But are TA teams doing all they can to relieve the pressure at the top of the funnel and give job seekers the clarity they need? Employers want candidates to be more intentional about applying for the right roles for them, but often post roles with unclear requirements and don't approach hiring strategically. So what should TA leaders be doing to fix the process and rebuild vital trust with job seekers? My guest this week is Catherine Wylie, Senior Talent Acquisition Business Partner at Mavericks Recruiting On Demand. Catherine has recently joined the business after a six-month job hunt. She has some incredible, valuable insights and advice to share for both employers and other TA professionals in job search mode. In the interview, we discuss: Catherine's recent job search experience Dealing with the extreme level of volume at the front of the recruiting funnel Lack of clarity, unclear requirements, and the importance of transparency Speed to delivery versus speed to quality Why the matching process is broken How employers can be intentional and hire holistically Which companies are actually doing this well Restoring trust in the hiring process Advice to TA job seekers What should the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

SAP's recent acquisition of SmartRecruiters has generated considerable interest across the talent acquisition community. The deal brings AI-native recruiting capabilities into a broader HR suite, creating complete visibility into data across the entire employee lifecycle. For recruiters, this means seeing what happens after a hire is made with the potential to connect talent acquisition decisions to performance, retention, and engagement outcomes. This is where AI agents become significant. When agents can access and act on a complete, harmonized data set spanning the whole employee journey, entirely new possibilities open up for how work gets done across the talent function. Yet despite the rapid pace of innovation, AI adoption is still lagging. Vendors are shipping capabilities faster than most organisations can implement them, held back by regulatory concerns, change management challenges, and uncertainty about where to start. So how can Talent leaders close this gap and take advantage of what is a huge strategic opportunity? My guest this week is Lara Albert, Chief Marketing Officer at SAP SuccessFactors. In our conversation, she discusses the SmartRecruiters acquisition, explains how agents working across the employee lifecycle could reshape HR, and shares her advice on how employers can get started. In the interview, we discuss: Why SAP acquired SmartRecruiters and what happens next Connecting recruiting data to employee outcomes Layering Agentic AI on top of people intelligence What's holding back AI adoption Regulation, change management, and mindset TA and HR have a once-in-a-career opportunity to lead transformation Business cases, buy-in, and getting started What will the future look like?

This is a special episode, recorded live on stage at TA Tech Europe in London earlier in November. It's a wide-ranging discussion about the state of our industry and where it's heading with one of recruiting's true pioneers, Jeff Taylor, the founder of Monster.com and the soon to be launched Boomband, . We debate AI's true impact on hiring, discuss why traditional tools and approaches are failing, and explore what recruiting could become. In the interview, we discuss: The story behind Monster How Monster almost bought LinkedIn Why has Jeff returned after two decades out of the industry What has changed in recruiting in the last 20 years, and what hasn't Why resumes and job postings are failing AI's real impact on jobs What is Boomband? Rebuilding trust in recruiting Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

The AI agent marketplace has become a confusing landscape full of chatbots and co-pilots that aren't agents, claiming revolutionary capabilities. But genuine AI agents represent something fundamentally different. They're digital workers that can handle complex, multi-step processes independently, making decisions and adjustments along the way. The technology is already here and working, and the employers succeeding with it are focusing on change management, not just on technology deployment. So what are the early results looking like, and how will agentic AI change recruiting in the months and years to come? My guest this week is Tom Zrubecky, founder and CEO of Talent Pilot. In our conversation, he shares case studies demonstrating how AI agents are reshaping recruitment workflows and what autonomous hiring looks like. In the interview, we discuss: What an AI Agent is and what it isn't Building responsible AI with human oversight These are change management projects not technology ones The power of instant job interviews Where are employers getting the most value from agents The importance of pilot project Building a super recruiter What does the agentic future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Many organizations treat accessibility as just a compliance checkbox, checking the box to meet legal requirements and then moving on. But this mindset misses massive opportunities. When companies design truly inclusive hiring processes, they don't just help candidates with disabilities, but also improve the experience for everyone. Forward-thinking employers are discovering that accessibility drives innovation, expands talent pools, and creates competitive advantages, so how do you move from minimum compliance to genuine inclusivity, and how do you do that at scale? My guests this week are Business Psychologists Brittany Davies and Laura Kate Ruttle from Talogy. In our conversation, they share valuable advice on building an accessible assessment strategy, and we discuss how AI is shaping a whole new future for inclusive hiring. In the interview, we discuss: The current challenges around accessibility and fairness in hiring The significant benefits to employers of going beyond the basic legal requirements Improving hiring for everyone Best practices for encouraging disclosure How AI can help How do you implement inclusive hiring at scale? Advice to TA leaders on what to prioritise The potential of personalized adaptive assessment What might the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

The recruitment experience is undergoing a fundamental transformation with AI and automation playing an increasingly larger role. It's essential to recognise the consequences of lost human connection. Trust is an absolutely critical element here, and employers need to ensure they aren't losing the emotional intelligence and genuine connections that build trust with candidates. So how do you create authentic connections when AI does the screening and robots send the emails? My guest this week is Gal Borenstein, CEO of Borenstein Group. In our conversation, he talks us through his framework for building genuine digital trust in an increasingly automated world. In the interview, we discuss: The rapid digitalization and automation of business communication The jolt into a new era for employer branding The digital trust framework How to use AI to help build trust rather than erode it The importance of emotional intelligence A vision for the future Follow this podcast on Apple Podcasts.

Talent acquisition is being tested like never before. Teams are continually being asked to do more with less, hiring volumes remain unpredictable, and technology is evolving faster than organizations can adapt. AI promises transformation but often delivers confusion, with some vendors labeling simple automation as intelligence, while, at the same time, genuinely disruptive AI capabilities are emerging that could reshape everything we do. Meanwhile, the fundamentals haven't changed. TA leaders still need to deliver the right people at the right time in a cost-effective way. But how do you build that capability when the ground keeps shifting? How do you create structure, repeatability, and continuous improvement during constant disruption? My guests this week are Tony De Graaf and Marcel Rütten, co-founders of the Recruiting Excellence Foundation. In our conversation, they share their framework for building high-performing TA teams and explain how to pursue recruiting excellence even in fast-moving, uncertain times. Also listen out for details on how you take part in the forthcoming Global State of TA Report, and by getting your own free maturity assessment. In the interview, we discuss: The Recruiting Excellence Methodology Defining your North Star Focusing on and optimising every TA touchpoint Key challenges What stops TA being more strategic? Why automation is critical Agentic AI disruption What does the future look like? Get your free TA maturity assessment here Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Application volumes are continuing to rise, but finding quality hires remains a challenge. The usual suspects that tend to get the blame are candidates using AI, economic uncertainty, and a continuing decline in job board effectiveness. However, research suggests a more fundamental issue that many organizations overlook. The words in job descriptions matter more than most teams realize. Non-inclusive language is actually a key factor that stops many qualified candidates from applying. At the same time, regulations around pay transparency and anti-discrimination are proliferating across the US and EU, creating complex compliance requirements for job ads that vary by market. Many employers are also outsourcing their job ad creation to generic LLMs that have more potential to amplify bias than they do to eliminate it. So, how should employers utilize technology to ensure inclusivity, compliance, and a high-quality response from their advertising My guest this week is Pil Byriel, CEO and co-founder of Lyser. In our conversation, Pil shares research on how language shapes candidate behavior, why LLM reinforces bias, and the growing complexity of job ad compliance around the world In the interview, we discuss: The impact of language on applications from qualified candidates The human-led research behind inclusive communication Why generic AI LLMs amplify stereotypes and bias Compliance challenges across global markets What actually drives job ad performance Why structure, clarity, and transparency matter Building data-driven recruitment communication 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 Rhona Pierce, as they look back at October's eight interviews.  Episodes featured in this Round Up: Ep 734 Why Skills Really Matter https://recruitingfuture.com/2025/10/ep-734-why-skills-really-matter/ Ep 735: AI's Impact On Recruitment Marketing https://recruitingfuture.com/2025/10/ep-735-ais-impact-on-recruitment-marketing/ Ep 736: Trust, Influence & The Future Of Recruitment Marketing https://recruitingfuture.com/2025/10/ep-736-trust-influence-the-future-of-recruitment-marketing/ Ep 737: Building A Team Of Talent Partners https://recruitingfuture.com/2025/10/ep-737-building-a-team-of-talent-partners/ Ep 738: How to Implement AI Successfully In HR & TA https://recruitingfuture.com/2025/10/ep-738-how-to-implement-ai-successfully-in-hr-ta/ Ep 739: TA's Challenges and Priorities for 2026 https://recruitingfuture.com/2025/10/ep-739-tas-challenges-and-priorities-for-2026/ Ep 740: Are We Really Ready For AI? https://recruitingfuture.com/2025/10/ep-740-are-we-really-ready-for-ai/ Ep 741: The Competitive Advantage Of Neuro-Inclusion https://recruitingfuture.com/2025/10/ep-741-the-competitive-advantage-of-neuro-inclusion/

The recruiting technology landscape is transforming at an unprecedented speed. AI Tools that seemed like far-fetched concepts just a few years ago are hitting the market and delivering results. But adoption is messy and uneven. Some employers are experimenting with AI-driven interviews, while others worry about bias and legal risks. High-volume recruiters are automating entire processes while executive search remains deeply human. Everyone's trying to figure out which tools actually work and how to integrate them without breaking what already exists. So how should talent acquisition leaders navigate this revolution? My guest this week is Josh Bersin, one of the world's leading HR technology analysts. In our conversation, he reveals why this transformation is inevitable and what smart TA leaders should be doing today. In the interview, we discuss: Why TA is facing a reckoning Time, resources, and human error Where AI currently has the most impact Mass personalization Regulatory risks What role should human recruiters be playing? Superworkers AI Fluency versus amount of work experience The impact on an already bloated TA Tech Stack Technology mergers and acquisitions What does the future look like? Follow this podcast on Apple Podcasts.

Most hiring currently focuses on assessing a mix of skills and experience. However, there's a deeper layer that often gets overlooked. Companies talk endlessly about culture and values, yet few know how to genuinely assess them.  This matters especially for purpose-driven organizations. Whether it's a B Corp, a sustainability-focused business, or any company with a strong mission, finding people whose values are truly aligned isn't just nice to have—it's essential.  So how do you find genuinely aligned candidates, and where does technology help, and where does it hinder My guest this week is Leon Richards, founder of Good Talent, an Executive search & leadership advisory consultancy for values-led organizations. In our conversation, he explains how values-based recruiting actually works, why human judgment matters, and what responsible AI use looks like. In the interview, we discuss: Values, purpose, and mission-driven organizations The importance of alignment  Why cultural fit is often missed How to assess for values alignment AI, human skills, and accountability The "moral crumple zone" What does responsible AI look like? The future of TA

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.

We've lived through technology revolutions before. Personal computers. The Internet. Smartphones. Social media. Each felt transformative at the time, reshaping how we work and communicate. But something fundamentally different is happening now. AI learns from every interaction and improves with each release. Yet the signals are confusing. Some pilots are failing, and the hype levels are off the scale. Meanwhile, some companies are reporting the potential for hundreds of millions in savings, capability benchmarks are doubling every seven months, and entire organizational structures are being reimagined around human-AI collaboration. So how do employers cut through the noise and prepare for such a fundamental shift? My guest this week is Michael Tchong, a futurist and founder of Ubertrends Academy. In our conversation, Michael explains what makes this revolution different, how to spot true long-term trends beyond the hype, and shares practical strategies for navigating the transformation ahead. In the interview, we discuss: Are we prepared for the coming disruption? Signals and Uber trends Why AI is unlike past revolutions Separating the hype from the real transformation signals Early adopters versus mainstream users Building hybrid human-AI organizations The coming wave of job displacement Practical upskilling strategies you need to implement Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

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.

The job interview has been a part of the recruiting process for over 100 years, with Thomas Edison widely credited as the original architect of this central tenet of the recruiting process. But with so much change happening since then, are interviews still fit for purpose in their current format, and if they aren't, what should they be replaced with? My guest this week is Sarah Lamontagne, founder of Montagne Motion Consulting. Sarah has worked in all aspects of recruiting and talent acquisition and, based on her experience, strongly believes that employees should be moving away from interviews and looking at other methods of assessment to bring the recruiting process up to date. In the interview, we discuss: The significant challenges in hiring at the moment The origins of the job interview and why they are no longer fit for purpose How is recruiting slow to evolve What should replace interviews, and how do you enable candidates to demonstrate their skills at scale? The role of technology A new generation in the workforce who are driving change What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.