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  • Ep 792: Conversations from HR Tech Europe: Wolfgang Brickwedde and Mervyn Dinnen

    Ep 792: Conversations from HR Tech Europe: Wolfgang Brickwedde and Mervyn Dinnen
    2026/05/03
    Talent acquisition is sitting in a strange place right now. AI is in every conversation, but the work of actually hiring people is getting harder rather than easier. Application volumes are swinging in unpredictable ways, the workforce itself is changing shape, and the reality on the ground is some distance from the hype. So what is actually going on in talent acquisition right now? In this episode, recorded at HR Tech Europe in Amsterdam, I'm joined by two guests who have spent decades watching this industry evolve. Wolfgang Brickwedde from the Institute for Competitive Recruiting shares what his research is telling him about the market employers are navigating and where vendors are still getting it wrong. Mervyn Dinnen then joins me to talk about the reality behind the AI hype and how the multigenerational workforce is reshaping the world of work. Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    25 分
  • Ep 791: Making Agentic AI Work For HR & Talent

    Ep 791: Making Agentic AI Work For HR & Talent
    2026/05/03
    The real value of AI agents in HR comes from connecting them to work across the employee lifecycle, not from deploying them on individual tasks. That's where most large organisations are getting stuck. Working in a fully agentic way means dealing with different systems and different data sources that often have no shared foundation. The result is fragmented experiences for employees and managers, with the end-to-end potential remaining out of reach. Getting there requires some serious work in data governance, process design, and integration, the kind of foundational work that rarely gets mentioned at industry conferences. So what needs to be in place before AI agents can work at enterprise scale? My guest this week is Melissa Shelley Höjwall, Global HR Technology Lead at H&M Group. In our conversation, which we recorded live at HR Tech Europe, she explains what it takes to build a connected AI architecture across HR and why many companies are undermining their own progress. In the interview, we discuss: The approach to Agentic AI in HR at H&M From niche agents to connected architecture Process automation design and date integration The role of data governance Adoption in the enterprise Shadow AI and over-governance Why cutting jobs isn’t the way to get true value from AI New roles for HR professionals Breaking the silos in the Talent function What to focus on for the future Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    22 分
  • Ep 790: Rethinking Work In The Age Of AI

    Ep 790: Rethinking Work In The Age Of AI
    2026/05/01
    We're living through one of the most consequential shifts in how work gets done. AI is everywhere in headlines and vendor pitches, but the reality inside organisations is far more nuanced than the noise suggests. Personal adoption is running well ahead of how companies are embedding the technology into actual workflows. Demographic changes continue to tighten labour supply, and the HR tech vendor landscape is consolidating and expanding all at once, leaving buyers uncertain about where to invest. So how should HR leaders be thinking about technology, workforce design, and the role they need to play in shaping what work actually becomes? Recorded live at HR Tech Europe, my guest this week is Stacey Harris, Chief Research Officer at Sapient Insights Group. Stacey runs the longest-running HR systems survey in the market, and we discuss what her data shows about where things are heading. In the interview, we discuss: How AI differs from past tech shifts Layoffs and the cost of AI investment The gap between personal and corporate AI use Why bring your own AI matters Making sense of the vendor landscape The Platform Cluster Model Demographics and labour supply pressures From workforce planning to workforce architecting How HR's role needs to change What does the future look like Take part in The 29th Annual HR Systems Survey Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    22 分
  • Ep 789: Leading TA Through AI Acceleration

    Ep 789: Leading TA Through AI Acceleration
    2026/04/27
    Something has shifted in AI over the last few months. The pace of AI model updates keeps increasing, and strategies that made sense a few months ago are already out of date. New tools can take on long, complex pieces of work largely on their own, changing what's possible across hiring. For TA leaders, long-term planning has become almost impossible, while the recruiter's role itself is being rethought as candidates use AI just as actively as employers do. So what does effective TA leadership actually look like right now? My guest this week is Bryan Ackermann, Head of AI Strategy and Transformation at Korn Ferry. In our conversation, Bryan shares the changes he is seeing across the recruiting funnel and how organizations can build the resilience they need to keep pace. In the interview, we discuss: The accelerating pace of AI change Why AI literacy now matters everywhere Is candidate AI use cheating or demonstrating capability? The superpowered employee The evolving role of the recruiter Agents talking to agents Where human moments still matter Resilience and shorter planning horizons Advice to TA Leaders What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    28 分
  • Ep 788: Technology, Trust, and Human Connection

    Ep 788: Technology, Trust, and Human Connection
    2026/04/24
    We live in a world where recruiters can connect with thousands of people with a single click. LinkedIn, CRMs, and AI tools all promise to manage relationships at a scale unimaginable a generation ago. The challenge is that genuine trust doesn't scale automatically. When interactions become automated and transactional, the very thing that makes recruiting work starts to break down. People still hire people they trust, and the best referrals still come through relationships, not algorithms. So how do you build and maintain trust at scale? My guest this week is Denise Chaffin, Founder of Top Source Talent and host of the Talking TA podcast. In our conversation, she shares how nearly four decades in recruiting have shaped her thinking on building trust at scale and ensuring technology strengthens relationships rather than undermines them. In the interview, we discuss: The risk of transactional relationships Building and maintaining trust over time The limits of managing large networks How AI tools can support relationships Finding talent through unexpected connections Network Mapping Key skills to build trust and connection What the future looks like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    25 分
  • Ep 787: How Belonging Transforms Talent Acquisition

    Ep 787: How Belonging Transforms Talent Acquisition
    2026/04/21
    Many organizations are struggling with attrition, disengagement, and costly mis-hires that quietly destroy value. The real problem isn't finding talent, it's creating conditions where people can perform. Research suggests that when people feel they belong, organizations see significant gains in productivity, retention, and innovation. Belonging can be measured, built into how work gets done, and connected directly to business outcomes. So how can talent acquisition use belonging to change how it hires and the strategic value it delivers? My guest this week is Eric Knauf, Founder and CEO of BelongHQ and author of The 56% Solution. In our conversation, he shares a practical framework for measuring belonging and explains how it could reshape TA's role in an AI-driven world. In the interview, we discuss: The five pillars of belonging Measuring belonging against business outcomes Why workforce planning comes before EVP Breaking roles down to the task level Belonging as a talent differentiator Shifting TA from seats to strategy The hidden cost of untapped potential Building trust during the recruiting process What does the future look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    31 分
  • Ep 785: What Is AI Fluency?

    Ep 785: What Is AI Fluency?
    2026/04/19
    AI skills are quickly becoming a baseline expectation in hiring, with more employers adding AI fluency to their job descriptions every month. Yet when you ask those same employers what AI fluency actually looks like for the vast majority of roles that aren't deeply technical, most struggle to answer. Universities still treat AI primarily as a cheating problem, restricting how students use it rather than helping them become fluent. So there's a growing gap between what the workplace demands and what education delivers. How do we define AI fluency in practical terms, and who should be leading that conversation? My guest this week is Kathleen deLaski, Founder of the Education Design Lab and author of Who Needs College Anymore?. In our conversation, she shares what employers and students are revealing about AI readiness, and why the current approach risks failing a generation of new talent. In the interview, we discuss: What is an AI-fluent workforce? Preparing learners for a new world of work Current student attitudes to AI Is the education system able to evolve quickly enough? Moving beyond prompts What replaces degrees in early-career hiring? Assessing human skills at scale Articulating what AI skills look like in your organization What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    27 分
  • Ep 785: What's Really Changing In Tech Hiring

    Ep 785: What's Really Changing In Tech Hiring
    2026/04/19
    AI is reshaping how work gets done, but the hiring process hasn't caught up. Employers are asking for AI skills they can't clearly define, while application volumes hit record levels. Resumes mean less than ever because candidates can now use AI to tailor them to any job in seconds, and traditional screening methods are struggling to keep pace. At the same time, something more interesting is happening underneath all the noise. Candidates are often further ahead on AI than the companies hiring them. Forward-thinking employers are turning to work sampling, and rather than treating AI use as cheating, they're integrating it into the assessment as a necessary part of the process. Despite predictions that coding would be the first job to disappear, engineering hiring is actually up in some areas. So how should employers rethink assessment, upskilling, and what they look for in technical talent? My guest this week is Amanda Richardson, CEO of CoderPad. In our conversation, Amanda shares what's really happening in technical hiring and where it's heading next. In the interview, we discuss: What are AI skills? How is recruiting evolving? Previewing the actual work in the recruiting process AI-assisted assessment Upskilling, adaptability, and curiosity How is AI coding changing tech jobs? Candidates are ahead of employers on AI adoption. What does the future of jobs and hiring look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    23 分