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

Matt Alder

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.

  1. 53m ago

    The Hiring Problems Technology Can't Fix

    TA leaders are under real pressure to keep up with AI, new tools, and what they think other employers are doing. In that rush, a lot of functions are spending heavily on new technology without first understanding whether their existing processes are working, only to find the real problem was something no platform could have fixed. Getting this right means doing the internal work first, auditing what's already in place, and being honest about organizational readiness. So what does it take to turn the lens inward before looking outward? My guest this week is Jalpa Trivedi, an experienced Global Head of TA who has built and centralized TA functions across more than 30 countries. In our conversation, she shares why the internal audit matters more than the technology choice, how to build TA foundations that hold across different markets, and how to approach AI adoption with the governance it requires. In the interview, we discuss: The questions TA leaders aren't asking about their own function. Investing in technology that solves the wrong problem -The 80/20 approach to centralizing TA across markets -Building an EVP on evidence, not assumptions -What persuades leadership to back a TA investment -Why the biggest AI risk isn't falling behind -Five data privacy questions to ask before signing with an AI vendor -Where the dividing line falls between AI and human judgment -What does the future look like? A full transcript will appear here shortly. Follow This Podcast on Apple Podcasts Follow this Podcast on Spotify

    The Hiring Problems Technology Can't Fix
  2. 4d ago

    End-to-End Hiring Intelligence

    AI has been applied to almost every step of the hiring process. Sourcing, screening, assessments, interviews; each has its own tools, and many of them are effective. For many organizations, though, the gains from optimizing individual stages are flattening out. Hiring quality is shaped by the entire journey, not by any single step, and most hiring technology was never built to connect those steps. The focus is shifting toward connecting the whole process so that each stage learns from the others and improves over time. So what does it take to move from optimizing separate steps to building connected intelligence across the hiring process? My guest this week is Ben Chino, Co-founder and CPO of Maki. In our conversation, Ben explains why improving hiring one step at a time has hit its limits, what end-to-end hiring intelligence looks like in practice, and what it means for recruiters and candidates. In the interview, we discuss: Why optimizing individual hiring steps with AI has hit diminishing returns The difference between a system of record and a system of intelligence How a connected hiring process improves decision-making at every stage Where the ATS fits in the next generation of hiring technology Why human judgment in hiring is less consistent than most people think Freeing recruiters for better judgment and more time with candidates Turning 800,000 applications into a real candidate experience Why adopting AI in hiring is an organizational change challenge, not a technology decision What does the future of hiring look like? https://www.linkedin.com/in/ben-chino/

  3. Jul 17

    Ep 809: The Data Foundation For AI In Hiring

    Agentic AI is only as useful as the data it can access, and getting that foundation right is proving to be the harder half of the work. Years of mergers, acquisitions, and local decision-making have left many talent operations running on data and processes that were never meant to work together, and no amount of AI on top will fix what lies beneath. Some organizations are now rethinking their technology strategy in light of that problem. So what does getting AI-ready actually involve, and what does it change about the decisions you make? My guest this week is Lia Manafova, Talent Technology Strategy Lead at Sanofi, a global pharmaceutical company hiring at scale across more than 70 countries. In our conversation, Lia explains why the data foundation must come first, what an anchor product strategy looks like in practice, and what she has learned about making technology stick. In the interview, we discuss: Why AI readiness starts with data, not AI Building a bridge between the business and the digital team The challenge of constant transformation and change fatigue What is an anchor product strategy? How the Workday, Paradox and HiredScore acquisitions changed the options Best-of-breed or a single source of truth? Keeping recruiters in one system rather than three Piloting with the people who will use it every day The case for keeping the semi-automated option Building an ROI story the business understands What does the future look like?

    Ep 809: The Data Foundation For AI In Hiring
  4. Jul 10

    Trust, Transparency And The AI Interview

    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.

  5. Jul 9

    The Real Trends In Talent Acquisition

    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.

  6. Jul 6

    Hiring's Signal Problem

    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

    Hiring's Signal Problem
4.6
out of 5
79 Ratings

About

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.

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