People Science Podcast

Christine Nichlos
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Hosting a robust network of HR Leaders who address topics important to our profession can be invaluable. Our podcasts address hot topics and encourage all voices to be heard.

  1. 3d ago

    Are AI Sourcing Tools Still Worth It? | Talent Architects Episode 13

    Should talent acquisition leaders renew their AI sourcing tools, or is it time to rethink the investment? At People Science, monthly recruiter outreach through the team's most expensive AI sourcing tool dropped from roughly 2,000–3,000 candidates to just 600–650. Not because recruiters stopped using it, but because searches kept returning the same candidates. So what happens when your sourcing technology runs out of new people to find? In Episode 13 of Talent Architects, Christine Nichlos, Jessica Oberto, and Lindsey Roundtree explore the real ROI of AI recruiting tools, what TA leaders should measure before renewing sourcing technology, and why more AI features don't necessarily mean more qualified candidates. They also get into candidate fraud, identity verification, hiring volume, and AI transparency, sharing insights from conversations with CHROs, TA leaders, and the HR Tech conference in Las Vegas. In this episode, you'll learn: Are AI sourcing tools still worth the investment? Why People Science is reevaluating a sourcing platform after monthly outreach dropped from 2,000–3,000 candidates to approximately 600–650, and what that means for recruiting technology ROI.How do you measure the ROI of AI sourcing tools? Why Lindsey Roundtree, People Science's Chief Talent and Product Officer, looks beyond usage to track candidate progression, hires, and retention using Hiregate.Why do AI sourcing tools keep finding the same candidates? How a limited talent pool can reduce the number of new candidates a tool delivers, even as vendors introduce additional AI features.What should TA leaders ask before renewing sourcing technology? Why data sources, profile freshness, new candidate volume, candidate consent, and vendor restrictions matter more than impressive database totals.How is AI changing candidate fraud and identity verification? What Jessica Oberto heard at HR Tech about verifying candidate identities without adding unnecessary friction to the hiring process.How does hiring volume affect candidate quality? Why filling 30 positions in one location creates different hiring decisions than filling just a few, and how recruiting teams should evaluate their talent pools accordingly.Can AI solve a shortage of qualified candidates? Why Christine Nichlos believes finding more people isn't the same as finding people with the skills to do the job, and why building talent matters.How transparent should employers be about AI in hiring? Why candidates should understand when AI is being used, how it affects the process, and why humans must remain responsible for hiring decisions.The takeaway: More AI doesn't automatically mean more qualified candidates. The real value of recruiting technology comes from understanding what it's delivering, measuring results over time, and knowing when your hiring needs have outgrown a tool. Who should listen? Talent Acquisition leaders, CHROs, HR executives, recruiting operations professionals, and sourcing teams evaluating AI sourcing platforms, recruiting technology ROI, candidate fraud prevention, and workforce planning. Want to dig deeper into the numbers? Request our Metrics That Matter piece by commenting on this video or messaging People Science on LinkedIn. And we'd love to hear from you: Where are you seeing the biggest bottleneck in your recruiting process? About Talent Architects Talent Architects is a weekly talent acquisition podcast from People Science, hosted by CEO Christine Nichlos. Each episode explores what's actually happening in recruiting, from AI adoption and recruiting technology to workforce planning, talent strategy, and the evolving role of Talent Acquisition. About People Science Since 1997, People Science has helped organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #TalentAcquisition #AIRecruiting #RecruitingTechnology #TalentArchitects #PeopleScience #Hiregate

    Are AI Sourcing Tools Still Worth It? | Talent Architects Episode 13

  2. Oct 15

    AI Saves Recruiters 6 Hours a Week. Now What? | Talent Architects Ep. 12

    How can talent acquisition leaders turn AI time savings into better recruiting outcomes? At People Science, AI-powered recruiting tools are saving recruiters approximately 6 hours per week, up from 4 hours when an AI candidate-synopsis feature first launched in Hiregate. But saving time is only half the equation. What should recruiters do with the hours AI gives back? In Episode 12 of Talent Architects, Christine Nichlos, Jessica Oberto, and Lindsey Roundtree discuss AI in talent acquisition, recruiter productivity, workforce planning, and how TA leaders can measure the real return on their recruiting technology investments. In this episode, you'll learn: How much time can AI save recruiters? Why People Science recruiters went from saving 4 hours to approximately 6 hours per week as AI adoption and training progressed.How should recruiters use the time AI saves? Why TA leaders should prioritize strategic sourcing, retention, candidate engagement, coaching, and data analysis instead of simply increasing recruiter workloads.How can the Eisenhower Matrix improve recruiting productivity? Using Stephen Covey's four time-management quadrants to shift from urgent, reactive tasks toward important, proactive work.How long does AI adoption take? Why AI readiness assessments, phased implementation, and 30-, 60-, or 90-day evaluation periods matter.How do you measure AI recruiting ROI? Tracking time savings, recruiter productivity, and technology profitability to determine whether an AI tool continues to deliver value.When should you replace a recruiting technology tool? Why a sourcing platform that paid for itself in six months may no longer make sense when hiring needs change.What should TA leaders ask AI vendors? Why product roadmaps, free trials, and flexible contracts matter when evaluating recruiting technology.The takeaway: AI adoption in recruiting isn't just about doing the same work faster. It's about creating capacity for higher-value work and making intentional decisions about where recruiters spend their time. Who should listen? Talent Acquisition leaders, CHROs, HR executives, recruiting operations professionals, and workforce strategy teams evaluating AI recruiting tools, recruiter productivity, and recruiting technology ROI. Get the episode worksheet: Message People Science on LinkedIn to request the Covey's Four Quadrants worksheet discussed in this episode. About Talent Architects Talent Architects is a weekly talent acquisition podcast from People Science, hosted by CEO Christine Nichlos. The show explores recruiting strategy, AI adoption, workforce planning, and the evolving role of Talent Acquisition. About People Science Founded in 1997, People Science helps organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #TalentAcquisition #AIRecruiting #RecruitingTechnology #TalentArchitects #PeopleScience #Hiregate

    AI Saves Recruiters 6 Hours a Week. Now What? | Talent Architects Ep. 12

  3. Oct 8

    Time to Fill Is Dead. Measure This Instead. | Talent Architects Episode 11

    Is AI inflating your recruiting metrics, and what should TA leaders measure instead? At People Science, COO Jessica Oberto argues that AI is inflating time to fill, applicants per requisition, sourcing volume, and messages sent without improving a single hire. As AI compresses sourcing, screening, and scheduling, speed and volume tell TA leaders very little about whether hiring is actually getting better. So what should replace them, and how do you tell whether AI is making your funnel better or just faster? In Episode 11 of Talent Architects, Christine Nichlos, Jessica Oberto, and Lindsey Roundtree discuss recruiting metrics, AI in talent acquisition, value of hire, and how TA leaders can build a scorecard that reflects quality, fairness, and where recruiter time goes. In this episode, you'll learn: Which recruiting metrics is AI inflating? Time to fill, applicants per rec, sourcing volume, and messages sent can all improve as AI compresses sourcing, screening, and scheduling, without producing better hires.What should TA leaders measure instead? Stage conversion, slate acceptance, outreach engagement, and recruiter time reclaimed and reinvested show whether AI is making the funnel better, not just faster.How can you tell whether your AI reporting is trustworthy? Check quality of hire, false negatives, and compliance and risk exposure from the AI tools in your process.Which business outcomes should recruiting metrics connect to? Time to productivity, cost of vacancy, first-year attrition, and diversity and risk exposure.What is "value of hire"? Lindsey Roundtree's term for measuring a hire's long-term contribution, including how long they stay and the value they bring to customers and the organization, rather than quality of hire alone.Should you scrap your recruiting process because of AI? Christine says to scrap the old playbook but keep what works, and Lindsey advises assessing which tools are delivering a return before replacing anything.How does Hiregate help? People Science uses Hiregate internally to track where AI is used in the recruiting process and what the outcomes of those hires are. The takeaway: AI can make recruiting faster without making it better. The scorecard has to shift from how fast and how much to how good, how fair, and where human time went. Who should listen? Talent Acquisition leaders, CHROs, HR executives, recruiting operations professionals, and workforce strategy teams evaluating recruiting metrics, AI recruiting tools, and recruiting technology ROI. Get the one-pager: Message People Science on LinkedIn to request the one-pager from this episode. Visiting HR Tech in Las Vegas? Find People Science at booth 2633. About Talent Architects Talent Architects is a weekly talent acquisition podcast from People Science, hosted by CEO Christine Nichlos. The show explores recruiting strategy, AI adoption, workforce planning, and the evolving role of Talent Acquisition. About People Science Founded in 1997, People Science helps organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #TalentAcquisition #RecruitingMetrics #AIRecruiting #TalentArchitects #PeopleScience #Hiregate

    Time to Fill Is Dead. Measure This Instead. | Talent Architects Episode 11

  4. Oct 1

    The Data Disconnect We Found at RecFest| Talent Architects Episode 10

    Jessica Oberto and Lindsey Roundtree just got back from RecFest with a clear pattern: recruiters are still tracking critical data in notebooks and spreadsheets because their ATS was never built to hold it, and leadership can't answer basic questions like true source of hire or true ROI on their AI stack. Christine Nichlos explains why this disconnect exists, and why it's exactly the gap Hiregate was built to close. In this episode, Christine, Jessica, and Lindsey cover: Why recruiters and TA leadership have very different pain points around data, even though they're circling the same core problemWhy most organizations can't answer basic questions like true source of hire or how long candidates sit at each recruiting stageWhy an ATS tracks applicants, not the full recruiting process, and why that gap is where most organizations lose visibilityHow Hiregate unifies sourcing, engagement, and outcome data into one system instead of scattered spreadsheets and recruiter notebooksAn example of how calculating the real cost of an open seat can turn a stalled compensation conversation into a clear, data-backed decisionHow having real, predictive data changes recruiting from reactive guesswork into a planned, defensible processThis session is for Talent Acquisition leaders, HR executives, and recruiting operations teams looking to bring structure to AI adoption in hiring. About Talent Architects: Talent Architects is a weekly show from People Science covering what's actually happening in talent acquisition, hosted by Christine Nichlos. People Science has helped organizations solve complex talent challenges since 1997 through Talent Advisory, RPO, Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more at people-science.com. #TalentAcquisition #TalentArchitects #PeopleScience #Hiregate #RPO #HRStrategy #Recruiting #WorkforcePlanning #RecFest #RecruitingData

    The Data Disconnect We Found at RecFest| Talent Architects Episode 10

  5. Sep 17

    AI Leaders Want to Slow Down. Should HR? | Talent Architects Episode 9

    If the leaders building artificial intelligence are calling for stronger safeguards, should HR and Talent Acquisition leaders rethink how quickly they're adopting it? Anthropic CEO Dario Amodei has raised concerns about the pace of AI development, warning about autonomous AI agents, cybersecurity risks, and the potential misuse of increasingly powerful technology. Other prominent AI leaders are also debating how to balance innovation with safety. But what does that mean for organizations already using AI in recruiting, workforce planning, and employee management? In this episode of Talent Architects, Christine Nichlos, founder and CEO of People Science and Hiregate, COO Jessica Oberto, and Lindsey Roundtree, Chief of Talent and Product, explore the growing debate around AI safety, enterprise AI governance, and the responsibilities of HR leaders as automation becomes part of everyday business decisions. Should HR organizations pause AI adoption? Not necessarily. Slowing the development of increasingly powerful AI systems is different from stopping organizations from learning how to use AI responsibly. For HR and Talent Acquisition teams, the conversation is about building the right safeguards, involving the right stakeholders, and understanding the risks before expanding automation. In this episode, Christine, Jessica, and Lindsey discuss: Why are AI leaders calling for slower development? What concerns raised by Dario Amodei, Sam Altman, and other technology leaders reveal about AI safety, autonomous agents, and the pace of innovation.Are organizations adopting AI faster than they can govern it? Why growing enterprise AI adoption raises questions about compliance readiness, oversight, and accountability.What is AI governance in HR? How organizations can establish practical guidelines for using AI in recruiting, workforce decisions, and employee-facing processes.Should HR focus on specific AI use cases first? Why evaluating automation within a defined business function can make implementation, oversight, and measurement more manageable.How is AI regulation affecting employers? What proposed legislation, including the No Robot Bosses Act and Stop Spying Bosses Act, could mean for automated workplace decisions, employee monitoring, and human oversight?Who should be involved in AI adoption decisions? Why bringing HR, Talent Acquisition, legal, compliance, and IT together early can help organizations make more informed technology decisions.Does slowing AI development mean organizations should stop preparing? Why TA leaders can continue building AI literacy, testing appropriate applications, and developing responsible adoption strategies.The takeaway: AI innovation and responsible adoption don't have to be opposing goals. As the technology evolves, HR leaders have an opportunity to help shape how organizations use it, establish accountability, and ensure workforce decisions remain grounded in business needs and human judgment. Who should listen? CHROs, Talent Acquisition leaders, HR executives, recruiting operations professionals, and workforce strategy teams navigating AI governance, responsible AI adoption, recruiting automation, and emerging workplace regulations. Join the conversation If AI developers are asking for more time to strengthen safeguards, should businesses slow their own adoption? Or is the answer to become more intentional about how they use it? We'd love to hear your perspective. About Talent Architects Talent Architects is a weekly talent acquisition show from People Science, hosted by CEO Christine Nichlos. Each episode explores what's actually happening in recruiting, AI adoption, workforce planning, and the evolving role of Talent Acquisition. About People Science Since 1997, People Science has helped organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #AIGovernance #AISafety #TalentAcquisition #AIRecruiting #TalentArchitects #PeopleScience

    AI Leaders Want to Slow Down. Should HR? | Talent Architects Episode 9

  6. Sep 3

    Should AI Be Taxed? | Talent Architects Episode 8

    Should companies pay taxes when AI replaces human workers? And are there some jobs we should never automate, even if AI can do them? Bill Gates has raised both questions, proposing taxes on AI tokens and robots while introducing the idea of Human Reserved work: jobs we choose to keep human, not because technology can't do them, but because we believe people should. But what would an AI automation tax actually mean for businesses already investing in AI? And what happens when the cost of using AI starts eating into the savings it was supposed to create? In Episode 8 of Talent Architects, People Science CEO Christine Nichlos joins Jessica Oberto and Lindsey Roundtree to explore AI taxation, the future of human work, and the real costs of adopting AI in Talent Acquisition. They also get into something businesses are already dealing with: AI token limits, usage-based pricing, and the challenge of knowing whether an AI tool is actually worth what you're paying for it. In this episode, you'll learn: Should AI and robots be taxed? Why Bill Gates has proposed taxing automation and what that could mean for businesses replacing human labor with AI.What are Human Reserved jobs? Why some work may remain human by choice, even when AI has the technical ability to perform it, and what that means for the future of recruiting and workforce planning.Would an AI tax slow business adoption? How additional automation costs could affect mid-market companies and organizations investing in AI-powered workflows.What are AI tokens, and why do they matter? How token consumption, credit limits, and usage-based pricing can create unexpected costs when implementing AI tools.How do you measure the true cost of AI adoption? Why the price of a subscription is only part of the equation when evaluating AI recruiting technology and return on investment.Should companies sign long-term AI contracts? Why shorter agreements and pilot programs can give organizations more flexibility as AI capabilities, pricing, and business needs change.Which recruiting tasks should be automated, augmented, or kept human? How the Work Architect framework helps Talent Acquisition leaders rethink work before deciding where AI belongs.Who should decide the future of work? Why the impact of AI isn't just about what technology can do, but the decisions leaders make about how it's used.The takeaway: Just because AI can do a job doesn't automatically mean it should. And just because AI can automate a task doesn't mean the investment will always make financial sense. As AI becomes part of everyday business operations, leaders need to consider the people, the costs, and the long-term implications of their decisions. Who should listen? CHROs, Talent Acquisition leaders, HR executives, recruiting operations professionals, and workforce strategy teams evaluating AI automation, recruiting technology costs, workforce planning, and the future of human work. Join the conversation Should companies pay an AI automation tax? And are there jobs you believe should always remain human? Tell us what you think in the comments. About Talent Architects Talent Architects is a weekly talent acquisition podcast from People Science, hosted by CEO Christine Nichlos. Each episode explores what's actually happening in recruiting, AI adoption, workforce planning, and the evolving role of Talent Acquisition. About People Science Since 1997, People Science has helped organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #AITax #TalentAcquisition #AIRecruiting #TalentArchitects #PeopleScience #Hiregate

    Should AI Be Taxed? | Talent Architects Episode 8

  7. Aug 27

    Is AI Making Hiring Bias Worse? | Talent Architects Episode 7

    Can artificial intelligence eliminate hiring bias, or could it actually make the problem worse? AI is becoming part of more recruiting decisions, from candidate screening and sourcing to interview assessments and hiring recommendations. But if human decision-making already contains unconscious bias, what happens when AI learns from that same information? In Episode 7 of Talent Architects, Christine Nichlos, founder and CEO of People Science and Hiregate, and COO Jessica Oberto explore unconscious bias in hiring, the risks of AI-assisted recruitment, and why human accountability remains essential as organizations adopt more automation. They discuss research into first impressions during interviews, how biased training data can influence AI-generated recommendations, and what HR leaders should consider when evaluating AI recruiting technology. Can AI make hiring bias worse? Yes, AI can reproduce or amplify existing hiring biases when the data, criteria, or processes used to develop and deploy it contain patterns of unfair treatment. AI can also help standardize parts of the hiring process, but reducing bias requires testing, monitoring, and meaningful human oversight. In this episode, Christine and Jessica explore: How quickly do interviewers form hiring impressions? What research involving brief, silent interview clips suggests about first impressions, unconscious bias, and the influence of nonverbal cues.Does AI eliminate unconscious bias in recruiting? Why automated hiring tools can reproduce patterns in historical data instead of automatically creating fairer decisions.How does AI training data affect hiring recommendations? Why the sources, quality, and representation of training data matter when evaluating AI-generated information and recommendations.What should CHROs look for in AI recruiting technology? Why transparency, customization, and the ability to question how a system works can matter as much as its features.How should organizations measure AI recruiting ROI? What a reported example of substantial savings from a relatively low-cost AI tool reveals about the importance of measuring actual business outcomes rather than relying on promises.Why is human oversight essential in AI hiring? How governance, accountability, ongoing evaluation, and clear decision-making responsibilities help organizations manage the risks of AI-assisted recruitment.The takeaway: AI can make recruiting more efficient, but efficiency alone doesn't guarantee fairness. The goal isn't simply to automate hiring decisions. It's to understand how those decisions are made, evaluate their impact, and keep people accountable for the outcomes. Who should listen? CHROs, Talent Acquisition leaders, HR executives, recruiting operations professionals, and workforce strategy teams evaluating AI hiring tools, unconscious bias, responsible AI, recruiting technology ROI, and AI governance. Join the conversation Do you think AI has the potential to reduce bias in hiring, or are we at risk of automating the same problems we've been trying to solve for years? We'd love to hear your perspective in the comments. About Talent Architects Talent Architects is a weekly talent acquisition show from People Science, hosted by CEO Christine Nichlos. Each episode explores what's actually happening in recruiting, AI adoption, workforce planning, and the evolving role of Talent Acquisition. About People Science Since 1997, People Science has helped organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #AIHiringBias #TalentAcquisition #ResponsibleAI #AIRecruiting #TalentArchitects #PeopleScience

    Is AI Making Hiring Bias Worse? | Talent Architects Episode 7

  8. Aug 20

    Talent Architects Recap: Catch Up on AI Recruiting + Fall Events

    Missed the first five episodes of Talent Architects? Here's your chance to catch up! We're taking a short break from our regular episodes this week, but there's plenty to revisit. From the rise of AI in recruiting to the changing role of Talent Acquisition, Christine Nichlos and the People Science team have been exploring what happens when organizations stop asking only who they need to hire and start asking how the work should actually get done. In this special Talent Architects recap, we're looking back at the conversations shaping the future of recruiting and sharing where you can connect with People Science and Hiregate in person this fall. What have we covered so far on Talent Architects? AI in Talent Acquisition: How automation is changing recruiting workflows and creating opportunities for TA professionals to take on more strategic responsibilities.The New Talent Ecosystem: Why hiring is only one of several ways organizations can meet workforce needs, alongside AI, internal mobility, referrals, strategic sourcing, and contingent talent.The Rise of the Work Architect: How recruiters can move beyond filling requisitions to advising businesses on the best way to get work done.Flipping the AI Conversation: Why TA leaders should consider where human expertise creates the most value, not just where technology can replace tasks.Real AI Recruiting Results: How Hiregate's interview scheduling automation helped reduce time-to-interview by 8 days in a high-volume recruiting environment.Where can you meet People Science and Hiregate this fall? We're hitting the road and looking forward to connecting with Talent Acquisition and HR leaders at: 📍 RecFest Nashville | September 📍 HR Tech, Las Vegas | October 📍 IPMI, The HR Management Institute, Orlando | October Whether you're exploring AI in recruiting, rethinking your workforce strategy, or looking for better visibility into Talent Acquisition, we'd love to connect. Catch up on Talent Architects Watch the first five episodes and explore more conversations about AI, workforce planning, the Talent Ecosystem, and the future of recruiting. We'll be back next week with a brand-new episode! About Talent Architects Talent Architects is a weekly talent acquisition show from People Science, hosted by CEO Christine Nichlos. Each episode explores what's actually happening in recruiting, AI adoption, workforce planning, and the evolving role of Talent Acquisition. About People Science Since 1997, People Science has helped organizations solve complex talent challenges through Talent Advisory, Recruitment Process Outsourcing (RPO), Staff Augmentation, and Hiregate, our proprietary Recruiter Candidate Tracking System (RCTS). Learn more: https://people-science.com #TalentArchitects #TalentAcquisition #AIRecruiting #PeopleScience #Hiregate #WorkforcePlanning

    Talent Architects Recap: Catch Up on AI Recruiting + Fall Events
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About

Hosting a robust network of HR Leaders who address topics important to our profession can be invaluable. Our podcasts address hot topics and encourage all voices to be heard.

Information

  • Creator
    Christine Nichlos
  • Years Active
    2023 - 2026
  • Episodes
    38
  • Rating
    Clean
  • Copyright
    © 2026 People Science Podcast
  • Show Website
    People Science Podcast