• Ep 746 Building Digital Trust In Hiring
    2025/11/16
    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.
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    22 分
  • Ep 745: Recruiting Excellence In Disruptive Times
    2025/11/16
    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.
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    36 分
  • Ep 744: How Job Ads Impact Quality Of Hire
    2025/11/15
    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.
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    33 分
  • Round Up October 2025
    2025/11/07
    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/
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    35 分
  • Ep 743: The Talent Acquisition Revolution
    2025/11/05
    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.
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    30 分
  • Ep 742: Aligning Hiring with Values
    2025/11/03
    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
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    22 分
  • Ep 741: The Competitive Advantage Of Neuro-Inclusion
    2025/10/29
    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.
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    33 分
  • Ep 740: Are We Really Ready For AI?
    2025/10/28
    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.
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    33 分