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

In this engaging conversation, Gal Borenstein, CEO of Borenstein Group and author focused on digital trust, shares insights on the evolving landscape of employer branding in a high-tech world. He explains how automation in hiring can erode human connection and emotional intelligence. Gal introduces his Digital Trust Framework, offering strategies to rebuild authenticity and trust with candidates. He emphasizes the ethical use of AI as a tool to enhance, not replace, human interaction, and discusses the critical role of communication during times of crisis.

In this engaging discussion, Tony de Graaf and Marcel Rütten, co-founders of the Recruiting Excellence Foundation, share their expertise in talent acquisition. They dive into the critical challenges facing recruitment teams today, highlighting the importance of a structured, holistic approach. Key topics include the Recruiting Excellence Methodology, optimizing TA touchpoints, and the role of AI in transforming recruitment processes. Together, they envision a future where human-centered recruiting flourishes, powered by smart automation.

Pil Byriel, CEO of Lyser and expert in inclusive recruitment communication, delves into the critical role of language in job ads. She reveals how biased wording deters qualified candidates and the pitfalls of using generic AI language models that perpetuate stereotypes. Pil also discusses the complexity of compliance with emerging global regulations on pay transparency and anti-discrimination. She emphasizes the need for structured, clear job ads to attract top talent and improve overall application quality. A must-listen for recruiters!

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/

Josh Bersin, a leading HR and talent technology analyst, dives into the revolution in talent acquisition. He discusses how AI is reshaping the hiring landscape, improving processes like resume matching and candidate outreach. Bersin highlights the urgent need for talent acquisition leaders to navigate the chaos of emerging AI tools and the importance of human recruiters for complex roles. He also explores the concept of ‘superworkers’ and how AI fluency will redefine hiring criteria, hinting at a future where AI integration becomes essential.

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.

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

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

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