『Recruiting Future with Matt Alder - What's Next For Talent Acquisition, HR & Hiring?』のカバーアート

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

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

著者： Matt Alder
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Talent acquisition is undergoing unprecedented disruption as AI, economic uncertainty, and the ever-shortening lifespan of skills radically reshape recruiting. On Recruiting Future, Matt Alder explores this evolving landscape, using insightful interviews with transformational TA practitioners and forward-thinking experts to spark your imagination and provide the insights you need to shape the future of talent acquisition in your organization. Each episode explores topics such as AI, recruiting automation, recruitment marketing, employer branding, skills-based hiring, assessment, candidate experience, DEI, internal mobility, and the transformation of TA teams. Recruiting Future is an essential resource for everyone involved in hiring. Matt Alder is a globally respected talent acquisition futurist, author, and speaker with over 25 years of experience exploring what’s next in recruiting. Renowned for his expertise in strategic foresight and technology trends, Matt provides a unique perspective that empowers leaders to navigate disruption. His deep industry knowledge and ability to spark meaningful conversations make Recruiting Future a must-listen for talent acquisition and HR professionals everywhere.Matt Alder 2025 マネジメント マネジメント・リーダーシップ 出世 就職活動 経済学
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  • Ep 807: Trust, Transparency And The AI Interview

    Ep 807: Trust, Transparency And The AI Interview
    2026/07/10
    Application volumes are climbing fast, and AI has made it far easier for candidates to produce a strong-looking resume. For talent teams trying to give every candidate a fair hearing, the traditional model of recruiting is starting to break down. Some employers are now handing the first conversation to an AI voice agent, and that raises some obvious concerns. Does automating the first step strip out the human connection that recruiting depends on? The teams doing this well are finding the answer isn't what a lot of recruiters expect, and that getting it right depends as much on how openly it's done as on the technology itself. So what does it look like in practice? My guests this week are Jean-Baptiste Anne, Global Director of Talent Acquisition at Mirakl, and Anneliese Muscari, their Head of AMER and Global Go To Market talent acquisition. In our conversation, they share why they made the change, how candidates have responded, and what it means for the future of the recruiter role In the interview, we discuss: Managing unprecedented application volume The growing limitations of resumes How do you give every applicant a fair chance and a great candidate experience? Handing the first conversation to an AI voice agent Moving from skepticism to trust Publishing AI guidelines for candidates How candidates have responded Keeping humans in charge of every decision What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    31 分
  • Ep 806: The Real Trends In Talent Acquisition

    Ep 806: The Real Trends In Talent Acquisition
    2026/07/09
    Over the last year, I have been using AI to develop a searchable archive of the content in every episode of Recruiting Future, 3 million words from over a decade of unscripted conversations with practitioners and thought leaders across talent acquisition. James Whitelock, host of The Marketing Rules Podcast, has been doing the same thing with his own archive of more than 200 episodes over seven years. Between us, we now have over a thousand real conversations we can interrogate for trends, and the picture that emerges is an industry caught in familiar tensions: fighting to prove its strategic value, grappling with AI that moves faster than it can be adopted, and trying to figure out which parts of hiring should stay fundamentally human. So what do years of real conversations reveal about where talent acquisition actually stands? In my conversation with James, we compare what our respective archives reveal about TA's shifting identity, the real pace of AI's change, and the tensions the industry keeps returning to. In the interview, we discuss: Using AI to turn podcast archives into industry intelligence TA's journey from growth engine to cost center and back again How the AI conversation has shifted over time Adaptability as the critical skill for TA Is TA becoming a marketing function? Standing out when AI content all sounds the same Ring-fencing the parts of hiring that should stay human Bias in humans and bias in AI What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.
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    35 分
  • Ep 805: Hiring's Signal Problem

    Ep 805: Hiring's Signal Problem
    2026/07/06
    The talent market is sending mixed signals. Employers insist they can't find the people they need, while experienced, capable candidates say they are applying into a void and hearing nothing back. Both are describing the same market, so something in the middle is failing. A lot of recruiting technology was built to handle volume, to move large numbers of applicants through a process quickly. What it struggles to do is read signal, to interpret whether someone actually has the judgment and context to solve the problem a business has. So how do we fix this problem, and will AI give us the solution? My guest this week is James Gardner, a talent acquisition and transformation leader who has spent over twenty years building and scaling talent functions. In our conversation, he shares what his own data-driven job search revealed about the market, why volume systems and signal systems pull in opposite directions, and how AI could either fix the problem or make it considerably worse. In the interview, we discuss: What's really happening on both sides of the talent market Why the market isn't short of talent; it's short of signal. Running a job search as a data funnel Why silence, not rejection, is the real problem Why volume systems and signal systems contradict each other Where AI screening still can't read potential Applying AI to a broken process just makes it fail faster. Moving TA from a service function to a commercial lever Owning the outcome, not just the shortlist. What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify
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    28 分
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