エピソード

  • Ep 776: Designing Hiring For Humans

    Ep 776: Designing Hiring For Humans
    2026/03/13
    Hiring processes are full of design choices that nobody ever questions. Requirements that sound reasonable but aren't defined. Formats that have stayed the same for decades. Onboarding systems built for one type of learner. Talented people are being screened out, not because they can't do the job, but because of how the process itself is designed. These aren't people failures; they're design failures that quietly exclude the people organisations most need. So how do we actually design hiring in a way that works for everyone? My guest this week is Theo Smith, author of the new book Designed for Humans: Rethinking Work in the Age of AI. In our conversation, he shares practical ways to spot and fix the system design flaws hiding in plain sight across the hiring process. In the interview, we discuss: Why people aren't always the problem The hidden barriers in job ads Probation periods as red flags Why structured interviews still fail How people mask gaps at work AI is accelerating flawed system design. Onboarding as a critical failure point Designing workplaces for humans Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    28 分
  • Round Up February 2026

    Round Up February 2026
    2026/03/12
    If you’ve not listened to Roundup before, it’s a short review of the episodes that I’ve published in the last month to make sure you don’t miss out on the valuable insights that my guests are sharing. This month Round UP returns to its live format, and this is a recording of my live conversation with Ritu Mohanka, CEO at Vonq, about six of the episodes published in February 2026 Episodes featured in this Round Up: Ep 766 How TA Proves Its Business Impact Ep 767: Inside EY’s Talent Strategy for AI and the Future Ep 769: Managing Risk In Talent Acquisition Ep 770: The Science of Better Hiring Ep 771 Recruiting At The Speed Of AI Ep 772: Surfing The AI Tsunami Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    30 分
  • Ep 775: What Makes An Excellent Workplace?

    Ep 775: What Makes An Excellent Workplace?
    2026/03/11
    Attracting talent gets all the headlines, but retention is where the real competitive advantage lives. In a market where top performers are constantly being approached by competitors and salary expectations keep rising, holding on to your best people has never been harder. At the same time, the rapid pace of AI and automation means the skills companies need are shifting faster than ever, making internal development and mobility just as critical as external hiring. So how do you build a workplace where people genuinely want to stay and grow? My guests this week are Annika in der Beek, Chief People Officer, and Giovanni Di Felice, Director of Talent Acquisition at Statista. In our conversation, they share the science-backed framework behind what makes an excellent employer and explain how hiring and retention are becoming inseparable parts of the same strategy. In the interview, we discuss: Hiring challenges in AI and tech Encouraging candidates to use AI Why retention has become critical Measuring what makes an excellent employer Autonomy, competence, and relatedness at work The power of honest feedback Internal mobility and career development TA as a strategic business partner What does the future look like? Learn more about The Excellent Workplace Rating. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    33 分
  • Ep 774: Will Candidate AI Use Transform Recruiting?

    Ep 774: Will Candidate AI Use Transform Recruiting?
    2026/03/09
    Many talent acquisition teams are dealing with surging application volumes right now, and AI is a major factor. Candidates are using it to apply faster, at a greater scale, and with more targeted information than ever before. The instinct has been to treat candidate AI use as noise, something to filter out or push back on. That response misses the long-term implications entirely. AI isn't just a tool for corporate hiring teams anymore. Candidates have access to the same technology, and platforms are emerging specifically to help them use it strategically. The innovation this unlocks could drive more change in recruiting than anything employers are currently investing in. So what is candidate-side AI actually capable of, and are talent acquisition teams thinking seriously enough about where this leads? My guest this week is Sam Wright, Head Of Career Strategy at Huntr, a data-backed job search platform. In our conversation, he shares what candidates are really doing with AI and what the data reveals about where this is heading. In the interview, we discuss: The job market from a candidate's perspective How the job search is changing Declaring a truce in the AI arms race Candidate-driven disruption and innovation in hiring Ethics and responsibility The importance of human judgement What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    25 分
  • Ep 773: How LLMs Are Changing Recruitment Marketing

    Ep 773: How LLMs Are Changing Recruitment Marketing
    2026/03/05
    For years, recruitment marketing strategies have been built around a familiar set of rules: optimize your career site, rank well in search results, and ensure candidates can find you. But those rules were written for a world where Google was the gateway. That world is changing. Candidates are increasingly turning to LLMs like ChatGPT and Claude to research potential employers, asking detailed, conversational questions about culture, benefits, and working environment. And the way those tools surface information is fundamentally different from traditional search. The content that performs well in Google often doesn't translate, and organizations that have invested heavily in their employer brand discovery may be largely invisible in this new landscape. So what does it take to show up when candidates are searching in LLMs? My guest this week is Graham Thornton, President of Consulting and Growth at Talivity. In our conversation, he explains how candidate discovery is changing, why existing SEO thinking doesn't apply, and what organizations need to do differently. In the interview, we discuss: How AI is disrupting recruitment marketing The new uneven playing field Content and context The importance of structure and specificity How third-party content is influencing discovery How are job seekers now searching? New ways of measuring ROI What will the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    25 分
  • Ep 772: Surfing The AI Tsunami

    Ep 772: Surfing The AI Tsunami
    2026/03/01
    AI transformation is accelerating, and for many organizations, the biggest risk isn't the technology itself; it's getting their strategic response wrong. Rush in without a framework, and you can destroy culture, trust, and capability. Hold back waiting for certainty, and more agile competitors will overtake you. Talent leaders are caught between these two failure modes with no clear playbook, and the pressure is intensifying by the week. So what does a disciplined, structured approach to navigating AI disruption actually look like in practice, and what role should talent and HR be playing? My guest this week is Jagrity Singh, a transformation leader who specializes in integrating AI-driven talent strategies with process excellence disciplines. In our conversation, she introduces a model for understanding where work sits between fully human and fully automated, and explains why the organizations that win will be those that learn to surf the wave rather than get crushed by it. In the interview, we discuss: Differences in AI approaches between Europe, the Middle East, and North America. The impact of AI on jobs and what approach employers should be taking AI is an HR problem, not an IT problem. Why CHROs need to orchestrate human and AI workforces Strategic workforce planning What should be automated and what shouldn’t Advice to talent leaders What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    22 分
  • Ep 771: Recruiting At The Speed Of AI

    Ep 771: Recruiting At The Speed Of AI
    2026/02/27
    Recruiting has always been shaped by the time and resources available. Resumes are short because recruiters only have a finite amount of time to read them. Interview shortlists are small because hiring managers can only meet so many candidates. The whole funnel narrows because no team can fully evaluate everyone who applies. None of these are strategic choices, they're simply workarounds for human capacity. Now AI agents can screen hundreds of candidates in a matter of hours, run outside business hours, and deliver structured evidence for recruiters to review. The data coming back is already challenging assumptions about how these processes should work, while the growing influence of AI on who progresses through the hiring process makes questions around ethics, fairness, and regulatory compliance impossible to ignore. So how should TA leaders rearchitect their processes while keeping them responsible? My guest this week is Sachit Kamat, Chief Product Officer at Eightfold. In our conversation, Sachit shares early data from AI interviewing at scale and explains why it's time to reimagine recruiting processes as the traditional constraints around time and resources start to fall away. In the interview, we discuss: Lifting capacity limitations in recruiting The impact of AI interviewing on the candidate experience What humans do better than technology Radically improving the candidate experience. Building agent scale processes The first steps to transforming recruiting Regulation and responsibility Could the time to hire be reduced to less than 1 hour? What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    19 分
  • Ep 770: The Science of Better Hiring

    Ep 770: The Science of Better Hiring
    2026/02/20
    Hiring should be about finding the right person. Too often, though, the tools and methods organizations use actually work against them. Job postings filter candidates out for lacking skills they could easily and quickly learn. Competency checklists based on someone else's philosophy of what leadership looks like rather than what actually works inside their organization. Assessment tools that aren't scientifically validated or that screen for average profiles when the role needs something entirely different. The funnel narrows before employers even realize it. And when a poor fit does get through, the individual can spend months or years struggling against expectations that were never clearly defined. So how should organizations rethink the way they assess and select talent? My guest this week is Dr. Stephanie Puckett, founder of SynergyMind Consulting. In our conversation, she draws on 20 years of experience in organizational psychology to reveal where hiring processes quietly break down and the implications for both employers and employees when they do. In the interview, we discuss: The most common mistakes employers make in hiring Unintentional restriction of talent pools Skill and competency transfer The danger of using tools with no scientific validation The critical role of talent acquisition teams Data science versus psychology Finding confirmation bias in big datasets The importance of realistic job previews How will hiring develop in the next 2 to 3 years Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    32 分