The Recruiting Future Podcast - Innovation In Hr And Recruitment

For the last five months, the excellent people at Purple Acorn have been broadcasting the Alder Hour live on LinkedIn on Monday afternoons. It's an hour-long show where I team up with my co-hosts Rhona Pierce from Perceptible Studios and Jocelyn King from Virgil HR to talk about TA and HR headlines we've spotted during the week, analyze real-life workplace dilemmas, debate what's trending and what's ending in recruiting and interview a different guest every week. I am dropping the audio podcast version of this week's show in the Recruiting Future feed so you can take a listen to what we've been doing. I'd love to know what you think and whether I should drop the show into this feed more regularly. This week, we covered the merging of technology and HR departments, AI bias, mental health at work, why the use of Resumes is way past its sell-by date, and RecFest founder Jamie Leonard dropped in to talk about the most significant issues for TA Leaders at the moment. You can catch the Alder Hour weekly o

Recruiting Future is a podcast designed to help Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology.  This episode is about talent and technology. Many employers are facing an increasing problem with candidates' use of AI. Along with dramatically increasing application numbers, AI tools are, in some cases, allowing potentially unsuitable candidates to jump to the front of the queue, endangering the integrity of the recruiting process. One potential answer to this challenge is to deploy science-based psychometric testing much earlier in the process than has traditionally been the case. So, how should assessment tools and technologies evolve to combine scientific robustness, candidate engagement, and resilience against AI manipulation My guest this week is Alan Bourne, Partner at Omatti and an expert in assessment innovation. Alan highlights the issues with legacy assessment tools and sets out a blueprint for transformation that

Recruiting Future helps Talent Acquisition teams drive measurable value by developing strategic capability in Foresight, Influence, Talent, and Technology. In this episode, we'll be focusing specifically on technology. The fundamental shift from complex software user interfaces to conversational recruiting technology is happening right now, with profound implications for how we think about the ATS.  What are the implications for both recruiters and candidates when the recruiting system becomes an invisible part of the flow of communication? My guest this week is Michal Nowak, SVP of Engineering at SmartRecruiters. In our conversation, Michal shares his insights on how conversational interfaces can transform recruiting from an admin-heavy profession to one focused on meaningful human connections and strategic thinking. In the interview, we discuss: How AI has shifted development priorities Keeping up with the technology Working with TA professionals to spot use cases that don't ex

Employee turnover continues to undermine talent acquisition efforts, with many organizations investing heavily in hiring only to watch new talent walk out the door feeling unappreciated. Even organizations with the most robust hiring processes continue to struggle with retention, costing millions in lost productivity and repeated recruitment efforts. So how can companies ensure their hard-won talent becomes long-term, engaged contributors in competitive talent landscapes? My guest this week is Brie Harvey, Head of Market Research and Community for Achievers. Achievers is helping organizations implement recognition strategies that transform employee experience and dramatically improve retention rates. Brie offers valuable perspectives on data-driven insights connecting recognition to business outcomes and how taking the right approach to appreciation can protect recruitment investments and drive performance across the entire employee lifecycle. In the interview, we discuss: • TA's lack of contr

Recruiting Future is the podcast that helps Talent Acquisition teams drive measurable impact by developing strategic capability in Foresight, Influence, Talent, and Technology.  Skills shortages in emerging technologies have reached critical levels, with companies all fishing in the same tiny talent pool for experienced professionals. But if these technologies are relatively new, why assume only experienced talent can work with them?  In such fast-moving industries, how can companies develop their early career hiring strategies to ensure they get net new talent who can be productive immediately? My guest this week is Tan Moorthy, CEO of Revature. Revature is helping employers build pipelines of entry-level talent by giving high-potential hires the training and development they need to be effective from their first day. In our conversation, Tan gives us an insight into a structured approach to identifying, developing, and deploying new talent, which is transforming how organizations solve their tech t

The early careers landscape is experiencing unprecedented disruption. While AI technology offers opportunities to transform how organizations operate, it eliminates many administrative tasks that once formed the foundation of entry-level positions. At the same time, employers are rigidly demanding years of experience and specific technical skills for roles labeled as "entry-level," leaving Gen Z unable to even begin their careers and risking their disconnection from the workforce altogether. So, how can talent acquisition professionals transform this crisis into an opportunity? My guest this week is Caitlin McGregor, CEO and co-founder of Plum. Caitlin shows how employers can leverage Gen Z as the first AI-native workforce who don't have to unlearn old ways of working - they can start with AI-powered approaches from day one without the burden of "how things used to be done." But accessing this advantage requires shifting focus toward durable skills like innovation, adaptation, and communication, not the

Celebrating 10 years of Recruiting Future! Over the last 10 years, I’ve interviewed hundreds of TA Leaders as well as CEOs, thought leaders, and the people building the technology that drives the industry forward. Back in 2015, we thought the pace of change was super fast and that the level of disruption was off the scale with social and mobile technologies reshaping how we communicated. In some ways, we might think it was impossible back then to imagine the world we live in now, but many of the changes we see in TA today have been in the works for a long time. The speed of change in talent acquisition is governed by the tension between organizational inertia, which slows things down, and external events like the pandemic, which can cause things to move at lightning-fast speeds. The Generative AI revolution is most definitely in the latter category. We are on the cusp of the most significant changes to TA and recruiting we have ever seen. So, as a TA Leader, how do you manage that change and make sure yo

The entire recruiting landscape is undergoing a profound transformation as organizations grapple with the implications of AI and the economic disruption 2025 is bringing. Talent acquisition teams are drowning in applications while simultaneously being asked to do more with fewer resources. Candidates find themselves in increasingly dehumanized processes where ghosting is now the norm. At the same time, regulatory bodies are developing laws to ensure fairness and transparency around the use of AI in hiring. So, how can employers navigate this challenging terrain while creating fair, accessible, and effective hiring processes? My guest this week is Ruth Miller, a talent acquisition and HR consultant who works across the public and private sectors. Ruth is an advisor to the Better Hiring Institute, working with the UK Government on developing legislation around AI in recruiting. In our conversation, she shares her insights into how organizations can proactively develop strategies that balance innovation wi

AI adoption is still slow in talent acquisition. Employers are experimenting with AI for tactical tasks while missing its transformative potential. This gap between tentative experimentation and strategic implementation stems from multiple challenges, including ethical concerns, a lack of training and awareness, overblown vendor claims, and anxiety about what AI means for job security. So, how can talent leaders shift from automation anxiety to augmentation advantage, transforming their teams from tactical processors to talent advisors? My guest this week is Matt Burney, Senior Strategic Advisor at Indeed. Matt has deep expertise in recruitment technology and workforce trends and explains how AI can elevate recruiters' roles rather than diminishing or eliminating them. In the interview, we discuss: The current state of AI in recruiting Why organizations remain trapped in tactical AI implementations Understanding the root causes of automation anxiety Asking better questions, not just getting faster answ

Understanding human behavior in recruitment is far more complex than it appears on the surface. Employers often misinterpret what truly motivates candidates to accept positions. At the same time, recruiters and hiring managers remain unaware of how their own unconscious biases influence selection decisions. Traditional approaches built on assumptions rather than evidence leave organizations vulnerable to poor hiring outcomes and missed opportunities with ideal candidates. So, how can talent acquisition professionals leverage behavioral science to gain a meaningful advantage in understanding and influencing human behavior throughout the recruitment process? My guest this week is Dominic Ridley-Moy, founder of the Behavior Change Network, a genuine expert in applying behavioral science to real-world business challenges. Dominic brings specialized insight into how our brains make decisions and explains how behavioral science offers employers substantial advantages in creating recruitment processes that align w

The acceleration of AI in talent acquisition has sparked both excitement and concern across the industry. While many fear automation might make recruiting more mechanical and impersonal, what if the opposite were true? Traditional recruiting processes already force candidates and recruiters into transactional relationships - with endless applications, screening calls, and administrative tasks leaving little room for meaningful human connection. At the same time, increasing expectations for personalized experiences are putting pressure on talent teams who don't have enough hours in the day. So, can AI actually make hiring more human rather than less? My guest this week is Diana Tsai, Co-founder and CEO of Upwage, a company building AI interviewing agents that have been proven to reduce turnover by as much as 48%. Diana shares valuable insights from working with employers to deploy over 4,000 AI agents. We also discuss her recently published book "AI For Good", which maps out a positive vision for the future

I firmly believe that AI is the most significant technological transformation of our lifetime. What will separate talent acquisition professionals who'll thrive in this new world from those who'll get left behind? The answer isn't about the technology itself, but our mindset towards it.  Viewing AI as an opportunity rather than a threat might be your most important career decision this decade, determining whether you'll lead or follow as this revolution unfolds. So, how do we transform our mindset from panic and denial to opportunity and strategy in a way that positions us to thrive alongside AI? My guest this week is Ronsley Vaz, author of the brilliant book "Amplify AI." Ronsley's background as a software engineer and subsequent career in business and podcasting means that he brings a uniquely valuable perspective to this conversation, In our discussion, we talk about the psychological barriers that can prevent us from thinking about AI strategically. We explore how TA professionals can shift their mind

Internal talent mobility remains a significant challenge for organizations despite widespread recognition of its importance. While companies understand the value of deploying existing talent to meet changing business needs, they often lack the scientific approach needed to make this work at scale. Many organizations collect a lot of data on people during their hiring process but fail to use it throughout the employee lifecycle, creating artificial barriers between departments and limiting career movement when it's needed most. So, how can organizations apply scientific principles to talent mobility to create more dynamic internal labor markets that benefit everyone? My guest this week is Lucy Beaumont, Solutions Lead, Talent Management at SHL. In our conversation, Lucy shares valuable insights from her work applying scientific assessment methodologies to internal mobility challenges.  In the interview, we discuss: How are we defining "skills-based hiring"? The difference between perishable skills, semi-d

Research consistently shows that happy employees are more engaged, more productive, and stay with their companies longer. While many organizations recognize this connection, they often lack the data and insights needed to make meaningful improvements in their workplace culture. With different generations having different expectations from work and regional variations in what contributes to happiness, reliable metrics are essential for making the right decisions. So, how can employers better understand workplace happiness and use this data to attract and retain talent? My guest this week is Matt Ward, Head of Recruitment Services at WorkL. For their latest research report, WorkL surveyed 400,000 employees in 26 industries across 100 countries on the key drivers of workplace happiness. The results give us some fantastic insights that can help make talent acquisition and retention strategies significantly more effective. In the interview, we discuss: The findings from WorkL's latest workplace happiness repo

Understanding today's complex labor market requires accurate data rather than just following headlines or anecdotes. For businesses and talent professionals, having reliable insights into hiring trends, wage movements, and worker expectations is essential for making informed decisions in these uncertain times. My guest this week is Jack Kennedy, Senior Economist at Indeed; drawing from Indeed's real-time analysis of millions of job postings, CVs, and marketplace behaviors, Indeed Hiring Lab's research provides a unique window into what's happening in the job market. We're focusing on the UK market in this conversation, but Jack does provide some broader global insights and highlights the many global commonalities when it comes to worker motivations, aging populations, and the impact of AI In the interview, we discuss: The state of the UK labour market in early 2025 How geopolitical issues are impacting hiring trends globally The surprising resilience of wages despite market cooling Primary motivators fo

The pace of AI adoption is accelerating rapidly, yet most organizations aren't integrating it effectively into talent acquisition—and they certainly aren't thinking big enough about its implications. Many companies are simply automating existing processes rather than reimagining what recruitment could become in an AI-driven world.  So, how can talent acquisition leaders think exponentially bigger about AI's potential, moving beyond incremental improvements to envision and create an entirely new paradigm for talent strategy? My guest this week is Richard Bradley, who has decades of experience in the RPO space and the wider staffing and TA ecosystem. Richard challenges us to think radically bigger about AI's impact, arguing that most organizations are severely underestimating the scale of transformation ahead. He explores how forward-thinking TA leaders must move beyond automating processes to reimagining the entire concept of recruitment. In the interview, we discuss: How does AI in 2025 compare to the Int

Round up is the monthly show on The Recruiting Future Podcast channel that highlights episodes you may have missed and gives you my take on some of the key learnings from the guests. Episodes mentioned in this Round Up: Foresight Ep 690: How Can TA Make A Measurable Impact? Influence Ep 689: How TA Can Adopt A Change Mindset Ep 687: Agile EVPs For Faster Employer Brand Impact Ep 684: Are We Now Living In A Video First World? Talent & Skills Ep 685: Rethinking Skills In An AI-Powered Workplace Ep 686: Personalizing The Employee Experience Technology Ep 688: Is AI’s Impact On TA Underhyped? Follow this podcast on Apple Podcasts Follow this podcast on Spotify

There have never been as many forces driving change in Talent Acquisition as there are in 2025. Skills-based thinking, economic pressures, the rise of AI, and the resulting change in both C-Suite expectations and Job Seeker behavior, to name a few. Unsurprisingly, then, TA Teams are scrambling to demonstrate the impact they have on and the value they drive for their business. However, this is much easier said than done with the relentless increase in the pace of change. So, how can TA Leaders harness 2025's winds of change to demonstrate their teams' impact and the value they drive?  Where better to get expert insights, shrewd commentary, and actionable advice than Transform? For those of you who are unaware of Transform, it is one of the best industry conferences out there, and I recently got back from Transform 2025. While there, I asked a range of people what they thought TA should be doing to make a measurable impact in 2025. Here are a selection of the answers. Get ready to hear from Daniel Chait - C

The talent acquisition landscape is fundamentally transforming. AI and automation are eliminating repetitive tasks and creating space for recruiters to become true strategic partners. This shift demands that TA professionals evolve beyond transaction-focused activities to provide consultative guidance backed by data and their unique expertise.  So, how can TA leaders successfully guide their teams through this transformation from transactional order takers to valued talent advisors? My guest this week is Mike Aronson, Global Head of Talent Acquisition Operations at Johnson Controls. With over 20 years of experience in talent acquisition evolution, Mike shares practical insights on leading transformational change and proactively planning for the future. In the interview, we discuss: The shifting power dynamic in TA The current impact of AI Elevating the skills of TA Teams to be more strategic Change mindset instead of change management How do Talent Advisors add value to the business? The critical imp

The conversation around AI in talent acquisition often focuses on incremental improvements and point solutions – better job descriptions, faster candidate matching, or automated interview scheduling. But this limited view dramatically underestimates the fundamental transformation that's already underway. While many are still debating whether AI is overhyped, there is growing evidence that it is actually significantly underhyped, with implications far beyond what most TA leaders are preparing for. So, how can TA move beyond tactical AI implementations to develop the strategic capabilities that will soon be essential? My guest this week is Jonathan Kestenbaum, Managing Director of Tech Strategy at AMS and a long-time trusted authority in work tech innovation. Jonathan cuts through the noise to explain why current industry discussions around AI are missing the bigger picture – a future where talent acquisition transforms into strategic orchestration and the way organizations attract and deploy talent is fundam