• Ep 752: Using Job Architecture To Drive Value From AI
    2025/12/01
    Skills, tasks, jobs, activities. These terms get used interchangeably across HR and talent acquisition, but they mean fundamentally different things. Skills are attributes of people. Tasks are components of work. Jobs are bundles of activities. Having clarity here matters more now than ever. As AI begins reshaping how work gets done, organisations need a precise understanding of their workforce at the task level. Without clear taxonomies, it becomes impossible to understand how to effectively implement AI for automation and augmentation. So how should companies be preparing to take the most advantage of the inevitable shifts AI will bring? My guest this week is Ben Zweig, CEO of Revelio Labs and author of the new book Job Architecture. In our conversation, he explains how to build effective taxonomies cheaply and scalably with LLMs and why this foundation is critical for navigating change. Ben also teaches Data Science and The Future of Work at NYU Stern and talks through an invaluable framework for assessing the likelihood of AI-driven job displacement. In the interview, we discuss: Why grouping people is the core of any HR analysis. What we get wrong about skills, jobs, tasks, and activities Why skills aren't the right unit of observation to analyse jobs AI automates tasks and activities, not jobs and skills. The vital importance of taxonomies Using LLMs to build taxonomies cost-effectively at scale. What are the advantages of doing this properly? The three forces that help measure the potential for AI-driven job displacement What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    31 分
  • Episode 751: The Trust Problem In Recruiting
    2025/12/01
    Uncertain economic times, high volumes of layoffs, and easy access to AI tools mean many employers are dealing with an unprecedented number of applications. Recruiters are overwhelmed, candidates are getting ghosted, and trust in the recruiting process is suffering. But are TA teams doing all they can to relieve the pressure at the top of the funnel and give job seekers the clarity they need? Employers want candidates to be more intentional about applying for the right roles for them, but often post roles with unclear requirements and don't approach hiring strategically. So what should TA leaders be doing to fix the process and rebuild vital trust with job seekers? My guest this week is Catherine Wylie, Senior Talent Acquisition Business Partner at Mavericks Recruiting On Demand. Catherine has recently joined the business after a six-month job hunt. She has some incredible, valuable insights and advice to share for both employers and other TA professionals in job search mode. In the interview, we discuss: Catherine's recent job search experience Dealing with the extreme level of volume at the front of the recruiting funnel Lack of clarity, unclear requirements, and the importance of transparency Speed to delivery versus speed to quality Why the matching process is broken How employers can be intentional and hire holistically Which companies are actually doing this well Restoring trust in the hiring process Advice to TA job seekers What should the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    23 分
  • Ep 750: Agents, Data, and the Future of Talent Acquisition
    2025/11/27
    SAP's recent acquisition of SmartRecruiters has generated considerable interest across the talent acquisition community. The deal brings AI-native recruiting capabilities into a broader HR suite, creating complete visibility into data across the entire employee lifecycle. For recruiters, this means seeing what happens after a hire is made with the potential to connect talent acquisition decisions to performance, retention, and engagement outcomes. This is where AI agents become significant. When agents can access and act on a complete, harmonized data set spanning the whole employee journey, entirely new possibilities open up for how work gets done across the talent function. Yet despite the rapid pace of innovation, AI adoption is still lagging. Vendors are shipping capabilities faster than most organisations can implement them, held back by regulatory concerns, change management challenges, and uncertainty about where to start. So how can Talent leaders close this gap and take advantage of what is a huge strategic opportunity? My guest this week is Lara Albert, Chief Marketing Officer at SAP SuccessFactors. In our conversation, she discusses the SmartRecruiters acquisition, explains how agents working across the employee lifecycle could reshape HR, and shares her advice on how employers can get started. In the interview, we discuss: Why SAP acquired SmartRecruiters and what happens next Connecting recruiting data to employee outcomes Layering Agentic AI on top of people intelligence What's holding back AI adoption Regulation, change management, and mindset TA and HR have a once-in-a-career opportunity to lead transformation Business cases, buy-in, and getting started What will the future look like?
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    23 分
  • Ep 749: Recruiting Past, Present, and Future (Live at TA Tech)
    2025/11/26
    This is a special episode, recorded live on stage at TA Tech Europe in London earlier in November. It's a wide-ranging discussion about the state of our industry and where it's heading with one of recruiting's true pioneers, Jeff Taylor, the founder of Monster.com and the soon to be launched Boomband, . We debate AI's true impact on hiring, discuss why traditional tools and approaches are failing, and explore what recruiting could become. In the interview, we discuss: The story behind Monster How Monster almost bought LinkedIn Why has Jeff returned after two decades out of the industry What has changed in recruiting in the last 20 years, and what hasn't Why resumes and job postings are failing AI's real impact on jobs What is Boomband? Rebuilding trust in recruiting Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    44 分
  • Ep 748: The Real Value Of AI Agents
    2025/11/20
    The AI agent marketplace has become a confusing landscape full of chatbots and co-pilots that aren't agents, claiming revolutionary capabilities. But genuine AI agents represent something fundamentally different. They're digital workers that can handle complex, multi-step processes independently, making decisions and adjustments along the way. The technology is already here and working, and the employers succeeding with it are focusing on change management, not just on technology deployment. So what are the early results looking like, and how will agentic AI change recruiting in the months and years to come? My guest this week is Tom Zrubecky, founder and CEO of Talent Pilot. In our conversation, he shares case studies demonstrating how AI agents are reshaping recruitment workflows and what autonomous hiring looks like. In the interview, we discuss: What an AI Agent is and what it isn't Building responsible AI with human oversight These are change management projects not technology ones The power of instant job interviews Where are employers getting the most value from agents The importance of pilot project Building a super recruiter What does the agentic future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    34 分
  • Ep 747: Rethinking Fairness in Hiring
    2025/11/19
    Many organizations treat accessibility as just a compliance checkbox, checking the box to meet legal requirements and then moving on. But this mindset misses massive opportunities. When companies design truly inclusive hiring processes, they don't just help candidates with disabilities, but also improve the experience for everyone. Forward-thinking employers are discovering that accessibility drives innovation, expands talent pools, and creates competitive advantages, so how do you move from minimum compliance to genuine inclusivity, and how do you do that at scale? My guests this week are Business Psychologists Brittany Davies and Laura Kate Ruttle from Talogy. In our conversation, they share valuable advice on building an accessible assessment strategy, and we discuss how AI is shaping a whole new future for inclusive hiring. In the interview, we discuss: The current challenges around accessibility and fairness in hiring The significant benefits to employers of going beyond the basic legal requirements Improving hiring for everyone Best practices for encouraging disclosure How AI can help How do you implement inclusive hiring at scale? Advice to TA leaders on what to prioritise The potential of personalized adaptive assessment What might the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    31 分
  • 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