Recruiting Future with Matt Alder

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.

The ongoing slump in tech hiring is well-documented. However, the demand for talented AI professionals, particularly at the leadership level, is absolutely off the scale. With unprecedented salaries being promised by the leading AI players, how can other employers compete, and what do the TA team need to know to secure the talent their organisation needs? My guest this week is Rebecca Hastings, founder of Lucent Search. Rebecca has been hiring AI leaders for her clients for over a decade and a half, and Lucent Search recently published a research report investigating what top AI Leaders want from their jobs and careers. In our conversation, we explore some of the findings, and Rebecca offers some very valuable advice to TA teams looking for top AI talent. In the interview, we discuss: The rise of the Chief AI Officer and the reshaping of the C-Suite Career frustration and the loyalty penalty The perception AI Leaders have of talent acquisition Why humans are still critical in AI projects and transformations What motivates AI professionals to change jobs Which skills are most in demand? Where should AI transformation sit in the business? What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Jobseeker behavior is changing with Gen AI and social media becoming ever stronger forces of influencers in career choices. However, a lot of recruitment marketing activity is failing to keep up with employers stuck in a rut and not casting the net wide enough or in the right way. Shockingly, many TA teams still lack basic visibility into their recruitment marketing metrics and can't prove ROI to their CFOs. While candidates increasingly use ChatGPT for job searches, few employers have optimized their content for AI discovery, and many career sites still remain conversion killers. So what should employers be doing, and how can they prepare for 2026? My guest this week is Neil Costa, Founder and CEO of HireClicks. In our conversation, Neil reveals the stark reality of where most organizations actually are with their recruitment marketing efforts and offers some valuable advice on how they should be moving forward. In the interview, we discuss: The current challenges in recruitment marketing How employers need to stand out and appeal to a multigenerational audience Overreliance on Indeed and LinkedIn The role of search and social AI optimisation Getting a competitive talent advantage Keeping marketing momentum with reduced budgets The vital importance of metrics and ROI The importance of authenticity Dynamic personalization and the role of career sites What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

The AI landscape in recruiting is evolving rapidly, with vendors racing to add AI features and many employers eager to embrace transformation. But navigating this shift successfully requires understanding what questions to ask and which foundations to build. From vendor transparency to compliance, from bias auditing to data governance, the path to effective AI implementation is not a simple one. What do TA teams need to consider to adopt a responsible approach to AI?   My guest this week is Martyn Redstone, a highly experienced advisor on AI governance for HR and Recruitment. Martyn has spent the last 9 years working with AI in recruiting and has some incredibly valuable advice to share. In the interview, we discuss: Getting the foundations right Why false AI confidence is dangerous Four key vendor evaluation areas Third-party auditing Shadow AI and data breaches Generative versus decision-based AI Global regulatory landscape challenges Why guardrails actually accelerate innovation The task-based future of work Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Bias in recruiting isn't just unfair, it's also bad for business. Bias in the recruiting process means many employers miss out on top talent simply because they're not seeing the full picture. Most organizations focus their anti-bias efforts on the interview stage, but the real damage happens much earlier in the process. With AI as a new complicating factor, how can we properly address bias and make recruiting fairer for everyone? My guest this week is Bas van de Haterd, recruiting polymath and also now co-founder of TA Audit Institute. As usual, Bas brings a vast amount of data and research to the conversation. In our discussion, we explore where bias really lives in the process, why current solutions miss the mark, and what the future of recruiting could look like. In the interview, we discuss: The impact of biased hiring on employers How most bias happens at the start of the recruiting process Why current approaches to eliminating bias aren't working Research findings on gender bias Job experience versus job knowledge Open hiring Does AI make things better or worse? Potential solutions What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

The modern workplace has created an epidemic of burnout that's quietly destroying careers and companies alike. Many professionals are quietly battling anxiety, sleep disruption, and physical exhaustion while maintaining a facade of having everything under control. TA leaders are currently navigating AI adoption, defending budgets, managing anxious teams, and are still expected to fill critical roles faster than ever.  So what kinds of systems can you put in place to prioritise your own wellbeing, while still making a lasting impact in your business? My guest this week is Chris Ducker, a serial entrepreneur and bestselling author. Chris suffered a severe burnout in 2021 and has used the lessons it taught him to develop a Life Operating System that sits at the centre of his new book "The Long-Haul Leader." I've known Chris for a while now, and the advice and insights he offers are very much grounded in the reality of modern working life In the interview, we discuss: Building long-term business impact in disruptive times Why self-care is strategic The myth of work-life balance Recognising the warning signs and avoiding burnout The four key areas of the Life OS and how they intersect to drive results The power of creative hobbies Why data and what you do with it is so important AI, friend or foe? What does the future of work 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, Rhona Pierce from the Workfluencer Podcast, as they look back at August's six interviews.  Episodes featured in this Round Up: Ep 721: Inside Zapier's AI Transformation Ep 722: Soft Skills, Hard Data – Making Predictive Hiring Work Ep 723: The Impact Of Career Gap Bias Ep 724: Search, Social, And Strategic Recruitment Marketing Ep 725: Making Neurodiversity Work Ep 726: How AI Is Finally Killing The Resume Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is currently on summer break, and the regular show will resume next week. I didn't want to leave you with nothing to listen to over Labor Day weekend, though… The Alder Hour is my show with Purple Acorn, which live streams on LinkedIn every Monday afternoon. Every show features an interview segment, and I wanted to share here three of the best interviews we've had so far, showcasing three of the smartest people in the industry. Keep listening to hear: Master Burnett from HireBrain discussing the ways AI can augment hiring Madeline Laurano, the founder of Aptitude Research, talking about the impact of AI on the vendor  landscape Laurie Ruettimann from Punk Rock HR warning us about the end of work as we know it.

Recruiting Future is taking a couple of weeks off and will return the first week in September. In the meantime, I've got some summer specials for you. As I don't need to tell you, AI is a massive topic at the moment and isn't going to change any time soon; it's only going to get bigger and more critical. With that in mind, I wanted to share my thoughts on where we are with AI at the moment, its future direction, and also share the outline of a framework I've developed for strategic AI implementation in TA. Earlier in the summer, I was a guest on the Saville Assessment Deep Dive podcast, talking about AI. The host, Hannah Mullaney, asked such great questions that I thought I would drop the whole episode into the Recruiting Future podcast feed for you to take a listen to. So, with thanks to Hannah and the team at Saville, here is a deep dive into my take on AI and the future of talent acquisition.

The explosion of AI-generated applications isn't just breaking traditional recruiting - it's creating an unprecedented opportunity by making sophisticated assessment tools accessible for early-stage screening. There is now the opportunity to filter thousands of applicants based on actual predictive data. However, the vendor landscape here can be confusing, and some offerings lack the transparency that employers need. So how can organizations identify tools that leverage AI's efficiency while respecting established peer-reviewed assessment science? My guest this week is Djurre Holtrop, Assistant Professor at Tilburg University. In our conversation, Jura reveals how AI could democratize evidence-based assessment for organizations of all sizes and offers advice on best practices and the future assessment landscape. In the interview, we discuss: The science-practice gap in assessment The tension arising from the rapid development of AI and the need to evaluate work performance results over time. AI isn't making the process worse because CVs and cover letters have no predictive validity. How is AI improving the science? Transforming recruiting with early-stage screening How bias carries through the recruiting process Resetting our mental models What does the future look like? Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology. If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately. Just head to mattalder.me/podcast to complete the assessment—it only takes a few minutes. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Up to 20% of the global workforce is likely to be neurodivergent and mostly undiagnosed. Understanding how to unlock the full potential of people with non-typical brains should be important to all employers. The difference between the right and wrong job fit for someone with ADHD or other neurodivergent conditions can be the difference between struggling daily and becoming a top performer.  So what if the key to creating exceptional teams lies not in trying to fit everyone into the same mold, but in asking the right questions to understand what each person needs to thrive? My guest this week is Shell Mendelson, an ADHD career coach with 35 years of experience helping neurodivergent individuals find their ideal work fit. In our conversation, Shell shares her proven process for identifying the "must-haves" that enable neurodivergent employees to perform at their highest level and explains why understanding individual needs benefits both employees and employers. In the interview, we discuss: The challenges for ND people at work Why everyone's needs are different The benefits of recognising the spectrum of different brains in your organization The contradictions of neurodiversity The importance of job fit and asking the right questions How small accommodations can make a massive impact Making work better for everyone Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology. If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately. Just head to mattalder.me/podcast to complete the assessment—it only takes a few minutes. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology. If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately. Just head to mattalder.me/podcast to complete the assessment—it only takes a few minutes. This episode is about Talent and Technology. The recruitment marketing landscape has been about more than just job advertising for a long time. However, many employers are still missing out on the unique benefits search and social bring to the marketing mix by approaching these channels in the same way they approach job boards.  As AI reshapes these platforms and candidate behavior evolves rapidly, there's a widening gap between companies seeing dramatic results and those struggling with failed campaigns and wasted investment. The difference isn't budget—it's about building long-term strategies based on data and a strong understanding of each channel's unique strengths and differences.  So what can employers do to ensure they are getting full value from their recruitment marketing budgets? My guests this week are Kelsey Krater, Chief Platform Officer at Appcast, and Appcast's Director of Digital Media, Alexandra Horwitt Anema. In our conversation, we talk about the unique strengths of search and social, how they are evolving and the critical importance of data in recruitment marketing.  In the interview, we discuss: Driving quality hires from recruitment marketing Why search and social aren't job boards Search and intent Filling funnel gaps and building diversity A layered media approach Telling stories with social The danger of prioritising quick wins over long-term strategy Recent developments in search and social The critical importance of data Nurturing and remarketing Pipeline building over transactional thinking What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

For too long, gaps in resumes have been a red flag for recruiters. But what if this outdated bias is costing you your best hires? In today's world, where everyone's constantly reskilling and skills become obsolete within months, penalizing career breaks makes absolutely no sense. This red flag mentality drives ageism and automatically screens out experienced professionals. Organizations clinging to "recent experience" requirements are handing their competitors access to mature talent bringing fresh perspectives, proven loyalty, and decades of expertise. So how can forward-thinking employers flip this nonsensical bias into strategic advantage by recognizing that career breaks often create stronger professionals, not weaker ones? My guest this week is Hazel Little, CEO at Career Returners. Hazel exposes the real cost of resume gap discrimination and shares proven strategies for building returner programs that deliver business results. In our conversation, she reveals why the red flag mentality around career breaks belongs in recruiting's past. In the interview, we discuss: What is a career returner? What are the common issues returners face The human impact of bias What drives career gap bias? Incorrect perceptions, false assumptions, and outdated approaches to hiring The significant advantages of tapping into the returner talent pool The significance of the decreasing shelf life of skills Advice to employers What might the future look like? Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology. If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately. Just head to mattalder.me/podcast to complete the assessment—it only takes a few minutes. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

How do we move from reactive recruiting to predictive talent acquisition? In an era where performance metrics drive every business decision, recruitment often remains stubbornly intuition-based, especially when evaluating soft skills like empathy, communication, and critical thinking. What if AI could help us predict performance before a candidate even starts? And what happens when we connect hiring decisions to actual performance outcomes, creating a feedback loop that makes recruiters smarter over time? Can technology help us understand which risks are worth taking, and which gut feelings we should trust?  My guests this week are Veronique Lacasse, Senior Manager at Bell Canada, and Stephane Rivard, Co-founder and CEO of HiringBranch. In our conversation, Veronique and Stephane walk us through Bell's integrated approach to talent acquisition, which utilizes AI assessment data on soft skills to create a predictive, performance-driven hiring system that is still very much driven by human recruiters. In the interview, we discuss: Soft skills and business performance Measuring soft skills with AI driven assessments Challenges in high-volume hiring Building a feedback loop in recruiting, onboarding, and training Showing recruiters the performance outcomes of their decisions The candidate experience Why human recruiters aren't being replaced What does the future look like? Recruiting Future helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately. Just head to mattalder.me/podcast to complete the assessment; it takes less than 5 minutes. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Organizations face a critical AI inflection point: the pressure to implement quickly conflicts with uncertainty about the right approach. While some companies are still cautiously experimenting with basic AI tools, others have fundamentally reimagined how work gets done. What separates the companies achieving remarkable results from those stuck in endless pilots? Often, it's not the technology itself but the culture and approach to adoption. So how exactly are companies at the cutting edge getting to the cutting edge? My guest this week is Brandon Sammut, Chief People Officer at Zapier. Ever since Zapier's"CEO issued a 'Code Red" on AI back in March 2023, Zapier has been undergoing an AI transformation in every part of its business.. In our conversation, Brandon shares how their AI strategy is boosting both productivity and employee engagement, why and how every new hire must demonstrate AI fluency, and why it is critical to keep the human touch in talent acquisition and throughout the employee journey. In the interview, we discuss: Competing in an AI-first world AI is a tool, not an outcome in itself. AI in People Operations Increasing personalization and connection in talent acquisition Understanding the moments that matter Using the human touch as a competitive advantage The critical importance of psychological safety and experimentation  Why culture beats skills The four levels of fluency in Zapier's AI Fluency Framework Bias & ethics Where is AI transformation heading, and what will the future look like Recruiting Future helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Teyou'regy. If you're interested in finding out how your TA function measures up in these four critical areas, I've created the free FITT for the Future Assessment. It'll give you personalised insights to help you build strategic clarity and drive greater impact immediately. Just head to mattalder.me/podcast to complete the assessment—it only takes a few minutes. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

We are on the cusp of a significant transformation in the world of work, with HR and Talent teams currently at the frontline of change. CHROs face unprecedented questions about the impact of agentic AI on the structure of organisations and the continuing need for agility and adaptation as skills go in and out of relevance at an ever-accelerating pace. The most innovative CHROs are looking in two directions - collaborating with IT teams in entirely new ways and studying how product teams operate with their test-learn-iterate mindset. Over the last few years, talent acquisition has often been more exposed to constant tech experimentation and workflow optimization than their HR colleagues. So could TA Leaders play a significant role in driving this workforce transformation? My guest this week is Amy Schultz, VP Market Development & Operations for RPO at Korn Ferry ANZ. Amy brings a unique perspective from a career spanning agency, RPO, and senior in-house roles at LinkedIn and Canva. In our conversation, she shares her belief that TA's natural product mindset and tech experience well-position recruiting teams to guide HR's evolution from fixed programs towards an agile, iterative product development mindset. This is a fascinating discussion! In the interview, we discuss: The core challenges employers are facing A mismatch in AI readiness What are the most innovative CHROs doing? Learning from product managers to move from programs to products TA's unique influence and tech adoption advantage Removing silos in the talent function The changing meaning of Build, Buy, Borrow, Bot, Bounce. Human / Agent hybrid working. Human first doesn't mean AI last and vice versa. What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Foresight. The pace of change has become relentless. Economic volatility, AI adoption, hybrid work challenges, and geopolitical shifts are forcing companies to completely rethink their workforce strategies. Organizations that once planned in five-year cycles now refresh their approaches on a quarterly or even monthly basis. This unprecedented disruption demands immediate action - but many HR and talent teams remain paralyzed by uncertainty. Traditional recruitment and development approaches simply can't keep pace with how rapidly skills requirements are evolving. What concrete steps should companies take today to build resilience into their talent strategies? My guest this week is Peter Miscovich, Global Future of Work Leader at JLL. Peter has spent 25 years helping Fortune 100 companies navigate workforce transformation and has never been busier than right now. In our conversation, he shares practical insights on building adaptive talent strategies, why continuous learning has become non-negotiable, and the specific skills companies must prioritize immediately to remain competitive in a constantly changing environment. In the interview, we discuss: What are employers most concerned about? AI integration and workforce transformation The age of anxiety Creating multiple flexible scenarios to shape the future Building Liquid Workforces Organisational structures that combine humans and AI Continuous learning, psychological safety, and resilience Anticipating the skills of the future and bridging the L&D gap Reframing your professional identity How should employers be preparing for 2030? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Talent. After years of hype surrounding skills-based hiring, the data is showing that it is really happening at scale and becoming strategically important across all sectors and company sizes, with some surprising patterns emerging. Organizations are seeing benefits beyond just filling roles, and the implications for TA and HR are significant. What's driving this shift, and what do TA teams need to know? My guest this week is David Wilkins, Chief Product and Strategy Officer at Talent Neuron. David has produced some exclusive data insights for Recruiting Future that paint a clear picture of where skills-based hiring stands today. In our conversation, he shares where the market is, what specific companies are doing, the real benefits they're seeing, and his thoughts on how AI might change everything in the future. In the interview, we discuss: What the data tells us about how skills-based hiring is being adopted Which types of companies are moving the fastest Expanding talent pools Driving internal mobility Spotting potential at scale Implications for talent acquisition Breaking the silos in the talent function The full impact of AI is not yet being felt. The intersection between tasks and skills What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Influence. The importance of data is universally recognized in TA, but the real opportunity lies in going beyond basic metrics and using data to shape business strategy. Forward-thinking TA leaders are moving beyond operational dashboards to connect hiring decisions with business outcomes like revenue generation and team performance. This shift requires not just better metrics but a fundamental change in how we communicate value to the organization. The challenge is that many teams remain stuck at the operational level, measuring activity rather than impact. So, how can you be more strategic about data and analytics? My guest this week is Leandro Cartelli, founder of a staffing and recruiting agency specializing in Latin American talent. With nearly 20 years of experience working in recruiting and talent acquisition, Leandro brings deep insights into building data-driven TA functions. In our conversation, he shares his framework for evolving TA metrics through three maturity stages and explains how connecting recruiting data to business outcomes transforms organizational influence. In the interview, we discuss: The most important data points for TA Connecting recruiting metrics to business goals The three maturity stages of TA metrics Building influence with data Latin American talent market dynamics Advice to companies recruiting across borders Neglecting the candidate experience The impact of AI on jobs and careers The future of the TA function Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Talent and Technology. Timely and effective measurement of the quality of hire has long been a significant frustration for talent acquisition, with meaningful data often trapped in subjective performance reviews that arrive too late to be of any help. But what if AI could help connect interview assessments, onboarding metrics, and performance data in ways that reveal which hires are going to succeed, creating real-time feedback loops that continually improve hiring decisions?   So, how exactly can employers build these types of connected systems? My guest this week is Mark Linnville, Head of Talent at Garner Health. In our conversation, he reveals how to identify accurate leading indicators for quality of hire, why authentic interview experiences help predict performance, and how AI helps connect the dots we've been missing. In the interview, we discuss: Talent market challenges Removing the silos in the talent function Providing a true-to-self candidate experience How do you judge quality of hire from a TA perspective? Leading indicators versus lagging data Creating continuous feedback loops Using AI to connect interviews to performance The importance of the human element of talent acquisition What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology. This episode is about Talent. While we're seeing a growing awareness of ageism, the reality is that it is regularly ignored as an inclusion factor. The impact of this is staggering. AARP estimates that ageism costs the US economy $850 billion in lost GDP annually, and research shows that intergenerational teams consistently outperform age-segregated ones in terms of productivity and innovation. Yet, unlike other forms of discrimination, age bias is openly accepted in hiring via things like age-coded job descriptions and ATS systems that filter by graduation dates. So what will it take for organizations to recognize that age discrimination isn't just morally wrong - it's actively destroying their competitive advantage? My guest this week is Maureen Clough, host of the 'It Gets Late Early' podcast and advocate against ageism on a mission to expose this universal form of discrimination. In our conversation, she reveals practical strategies for both employers and job seekers to combat age bias while building truly inclusive workplaces that work for everyone. In the interview, we discuss: Is ageism getting worse? The $850 billion impact on GDP How ageism is baked into some recruiting processes Why proving age discrimination in the US is so difficult. What should TA do to combat ageism? The power of intergenerational teams and mentorship AI's impact on entry-level jobs and Gen Z's involuntary disconnection from the workplace Strategies for older job seekers What should the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Influence and Technology. Talent Acquisition leaders are navigating a uniquely challenging period, juggling rapid advancements in AI with ongoing operational demands. The opportunity to automate routine tasks is clear, but the real challenge is determining where AI ends and human intervention begins.  With AI technologies rapidly reshaping the recruitment landscape, how can employers ensure they deploy AI strategically rather than superficially?  My guest this week is Chris Riche-Webber, VP Business Intelligence and Analytics at SmartRecruiters. Chris shares valuable insights into defining clear outcomes for AI deployment, experimenting effectively, and building genuine trust with technology vendors. In the interview, we discuss:  Current TA market realities Implementing AI to its full potential Defining the split between automation, augmentation, and obsolescence Why trust is critical for AI success Radical shifts in recruiter roles Hiring Manager self-service and why human backstops aren't the solution What will TA teams do when AI gives them increased capacity? How to build a business case What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Foresight and Talent Some of the most significant innovations in talent management and talent acquisition originated in the tech sector. From Edison's revolutionary use of teamwork to Netflix's principle of Talent Density, cutting-edge thinking about technology has often also involved cutting-edge thinking about talent. What might the history of technology teach us about the future impact of AI on talent practices? My guest this week is Jamie Dobson, CEO of Container Solutions and author of the forthcoming book, “Visionaries, Rebels and Machines,” on the history of technology. In our conversation, Jamie identifies some of the talent innovations the tech sector has given us, shares how he applied some of this thinking to his own business, and we discuss what the future might look like In the interview, we discuss: How can historical context help us understand the future? Examples of talent innovations that have come out of the tech sector Teamwork and talent density The problem with copying the artifacts but not the thought processes behind them Lessons from elite sports How technology changes, but human nature doesn't What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Talent and Foresight. We're no longer dealing with a world that's simply volatile, uncertain, complex, and ambiguous - we've arguably entered something far more challenging: a reality that's brittle, anxious, nonlinear, and incomprehensible. This shift is turning traditional workforce planning completely on its head. Three-year strategic plans become meaningless when entire job categories disappear in months, when AI capabilities jump overnight, and when market conditions change faster than planning cycles can adapt. So how can employers develop effective talent strategies in highly uncertain times, and how might talent acquisition step up to take a strategic role? My guest this week is Toby Culshaw, VP of Strategy for Talent Intelligence at Lightcast. In our conversation, Toby explains how real-time talent intelligence is needed to build talent strategies that can respond to rapid change and why TA teams are uniquely positioned as invaluable sources of business intelligence. In the interview, we discuss: Moving from a VUCA world to a  BANI world Dramatic change with significant compound effects The implications for long-term planning Why it is now easier to better align TA with workforce planning Signals and real-time talent intelligence The shortening half-life of job skills The anxious workforce Surfacing insights from TA War gaming and scenario planning The importance of data What might the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Hi there, welcome to episode 711 of Recruiting Future with me, Matt Alder. Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Talent and Technology. The recruitment technology landscape is experiencing a perfect storm. Perfect match candidates aren't completing applications due to frustrating processes. At the same time, recruiters are being overwhelmed by candidates using AI tools to generate thousands of low-quality submissions. Traditional matching algorithms provide limited transparency into the decision-making process, thereby creating legal and compliance risks. Meanwhile, cost-per-application models continue to charge for clicks rather than actual conversions, leaving employers paying for candidates who never complete the process. How can TA teams navigate this impossible environment while improving outcomes for everyone involved? My guests this week are Simon Van Hijfte, Marketing Manager at Adecco Belgium, and Ritu Mohanka, CEO at VONQ. Simon shares how Adecco is transforming their recruitment process with AI agents and the impressive results they're achieving - from improved candidate satisfaction to enhanced recruiter efficiency. We also all discuss the shift from opaque matching systems to transparent point-based scoring, how AI agents are solving the broken candidate experience, and why this people-first approach is delivering better business outcomes across the board. Why is the candidate experience broken? The impact of candidates using AI Implementing a people-first approach supported by AI Recruter Enablement vi AI Agents What do the candidates think? Moving from matching to scoring and explainable decision making Spotting transferable skills Vonq's innovative CPA+ model What results has Adecco been getting? What does the future of recruiting look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

Recruiting Future is a podcast that helps Talent Acquisition teams drive measurable impact by developing their strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about Technology. The AI transformation in recruiting presents both unprecedented opportunities and significant threats. It's a complex situation where the same technology that promises to solve long-standing recruiting challenges is also creating new ones. The use of AI by candidates is driving up application numbers, and Gartner predicts that by 2028, one in four job applications will be fake or fraudulent. So, how can employers ensure they are reaping the benefits of using AI in the hiring process while effectively mitigating the risks?  My guest this week is Meredith Johnson, Chief Product Officer at Greenhouse. In our conversation, Meredith shares her insights on building ethical AI systems that enhance rather than replace human judgment. We discuss creating fraud detection capabilities that protect hiring quality and designing embedded AI experiences that maintain the transparency and trust required for great hiring. In the interview, we discuss: Maximizing AI benefits while reducing risks Building C-suite support for AI investments Embedding AI within existing workflows Detecting and filtering fraudulent applications Talent filtering, interview question generation, and sentiment analysis Maintaining ethics and reducing bias Building transparency into the candidate experience  What does the future of TA look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.