
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 17 chart positions in 17 markets.
By chart position
- 🇺🇸US · Tech News#1545K to 30K
- 🇯🇵JP · Tech News#7110K to 30K
- 🇧🇷BR · Tech News#9010K to 30K
- 🇲🇽MX · Tech News#1041K to 10K
- 🇮🇳IN · Tech News#1451K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
32K to 118K🎙 Weekly cadence·48 episodes·Last published 6mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
65K to 235K🇺🇸13%🇯🇵13%🇧🇷13%+14 more - Active Followers
Loyal subscribers who consistently listen
19K to 71K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 10 epsHost
Recent guests
Recent episodes
2025 Surprises and What to Look For in 2026
Dec 22, 2025
31m 40s
AI Readiness Gap: Slowing Down to Move Faster in HR
Dec 5, 2025
21m 42s
AI-Native Operating Model
Nov 19, 2025
28m 40s
The Trust Factor in Employee Engagement
Nov 5, 2025
30m 11s
Essential Skills for the AI-Driven Workforce
Oct 22, 2025
27m 59s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 12/22/25 | ![]() 2025 Surprises and What to Look For in 2026✨ | AI adoptiondigital transformation+5 | Jason Averbook | Mercer | — | AIdigital transformation+6 | — | 31m 40s | |
| 12/5/25 | ![]() AI Readiness Gap: Slowing Down to Move Faster in HR✨ | AI readinessHR leadership+3 | Tara Cooper | Mercer | — | AI readinessHR+3 | — | 21m 42s | |
| 11/19/25 | ![]() AI-Native Operating Model✨ | AI in HRoperating model+4 | Emily Liddle | Mercer | — | AIHR practices+5 | — | 28m 40s | |
| 11/5/25 | ![]() The Trust Factor in Employee Engagement✨ | trustemployee engagement+4 | Kate Bravery | Mercer | — | trustemployee engagement+5 | — | 30m 11s | |
| 10/22/25 | ![]() Essential Skills for the AI-Driven Workforce✨ | AI in HRworkforce development+4 | Brian Fisher | Mercer | — | AIHR+5 | — | 27m 59s | |
| 10/8/25 | ![]() The Rewards Revolution✨ | total rewardsAI transformation+3 | Lauren Mason | Mercer | — | total rewardsAI+5 | — | 26m 20s | |
| 9/24/25 | ![]() Becoming AI-Ready: Lessons from the HR Tech Conference✨ | AI adoptionHR technology+4 | Tara Cooper | HR Tech ConferenceAI Readiness Index+1 | — | AI technologiesHR Tech Conference+5 | — | 29m 06s | |
| 9/10/25 | ![]() The Path to Smarter Benefits✨ | AI in employee benefitsbenefits enrollment+3 | Kate Brown | Mercer | — | AIemployee benefits+3 | — | 21m 40s | |
| 8/27/25 | ![]() AI-volution: Curiosity is the New Leadership Muscle✨ | AI in HRleadership+3 | Jason Averbook | — | — | AIHR+5 | — | 33m 16s | |
| 8/20/25 | ![]() Leveraging AI for HR Advantage✨ | AI in HRbusiness strategy+5 | William Self | Mercer | — | AIHR+6 | — | 38m 56s | |
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| 8/8/25 | ![]() A CEO With Two Hands On The Wheel | In this episode of the AI-evolution podcast, host Adriana O'Kain engages in a deep conversation with Jan Hutton, CEO of Australian Tourism Data Warehouse, and Ephraim Patrick, Partner at Mercer, about the transformative role of AI in business strategy and leadership. They discuss how AI has become central to strategic planning, the importance of fostering a culture of psychological safety for innovation, and the need for leaders to unlearn traditional mindsets to adapt to the rapidly changing landscape. The conversation emphasizes the necessity of curiosity, courage, and collaboration in navigating the complexities of AI adoption and the future of work. | — | ||||||
| 7/25/25 | ![]() Making Smart AI Vendor Decisions in HR | In this episode of the AI Evolution Podcast, host Adriana O'Kain and guest Corina Lam discuss the evolving landscape of technology partnerships in the HR sector. They explore the challenges organizations face in selecting the right vendors, the importance of aligning technology with strategic goals, and the characteristics that define successful long-term partnerships. The conversation also touches on the significance of change management and the personal applications of AI in everyday life. | — | ||||||
| 7/2/25 | ![]() From Vision to Deployment | In this episode of the AI Evolution Podcast, Adriana O'Kain and Harry West discuss the evolving landscape of AI in HR, focusing on the transition from adoption to deployment. They explore the rapid increase in AI adoption, the challenges organizations face, and the critical mindset shift required for successful implementation. The conversation delves into the differences between deployment and implementation, the barriers to effective AI deployment, and the importance of having a clear strategy to navigate the complexities of integrating AI into existing systems. | — | ||||||
| 6/11/25 | ![]() Maximizing ROI While Managing Risk | Adriana O'Kain, Partner, AI Strategy & Innovation Leader at Mercer, speaks with Jaymin Kim, Managing Director, Emerging Technologies, at Marsh, about the intersection of emerging technologies and risk management. They explore the various types of AI, the lessons learned from past technological revolutions, and the unique aspects of the current AI revolution. The conversation delves into how organizations can navigate workforce changes, balance speed and responsibility in AI projects, and the practical applications of generative AI in both professional and personal contexts. | — | ||||||
| 5/16/25 | ![]() Evolving HR in 2025 | In this episode of the AI Evolution Podcast, Mercer's Adriana O'Kain and Alex Zea discuss the evolving landscape of digital transformation, particularly in the context of HR. They explore the rapid pace of change driven by technology and AI, the concept of 'transformation as a service', and the importance of a mindset shift in organizations. Alex shares insights on leveraging technology and data analytics to drive transformation, while also reflecting on personal experiences using AI in everyday life, particularly in parenting decisions. | — | ||||||
| 3/26/25 | ![]() Transforming Supply Chain Challenges into Opportunities with AI | In this episode of the AI Evolution Podcast, host Adriana O'Kain engages with experts Yvonne Sonsino, John Davies, and Kai Anderson to discuss the evolving landscape of globalization, supply chain resilience, and the role of AI in workforce management. The conversation highlights the challenges posed by demographic changes, the importance of transparency in supply chains, and innovative solutions that leverage AI technology to enhance operational efficiency and risk management. The experts share insights on how organizations can adapt to these changes and the personal applications of AI in their daily lives.TakeawaysOrganizations need to revisit their assumptions about globalization.AI is crucial for balancing demographic changes and workforce needs.Supply chain complexity requires innovative technological solutions.Demographic changes are a significant pressure on labor markets.AI can enhance workforce management and operational efficiency.Real-time data can improve supply chain resilience.Companies must ensure good working conditions globally.Understanding supply chain risks is essential for business leaders.AI can help allocate skills and tasks effectively.Personal applications of AI can simplify daily challenges. | — | ||||||
| 3/12/25 | ![]() AI in Action: Insights From India and Middle East | In this episode of the AI Evolution podcast, Adriana O'Kain speaks with Lisa Lyons about the transformative role of AI in the Middle East, particularly focusing on government initiatives, best practices in AI adoption, cultural factors influencing AI integration, and the impact of AI on jobs and skills. They also discuss personal experiences with generative AI tools and their potential to enhance productivity and creativity.TakeawaysGovernments in the Middle East are leading AI initiatives.Saudi Arabia's Data and AI Authority is shaping the AI landscape.India has the highest global AI adoption rate at 83%.E& is pioneering AI projects with 900 initiatives underway.Cultural mindset is crucial for successful AI adoption.AI can enhance employee training and development.Understanding the 'why' behind AI is essential for organizations.Generative AI tools can simplify personal and professional tasks.Curiosity about AI drives higher adoption rates.AI avatars are being used for innovative training solutions. | — | ||||||
| 3/3/25 | ![]() Capturing AI ROI | In this episode of the AI Evolution podcast, Adriana O'Kain and Ravin Jesuthasan discuss the transformative impact of AI on the workforce. They explore the shift from a technology-focused approach to a work-backwards strategy, emphasizing the importance of redesigning work to capture ROI. The conversation highlights the evolving role of HR in integrating AI solutions and the necessary mindset and skills for success in an AI-augmented world. Ravin shares insights on practical examples and the critical need for organizations to adapt to the changing landscape of work.Takeaways Organizations must adopt a work-backwards approach to AI integration. Redesigning work can lead to significant ROI improvements. HR plays a crucial role in orchestrating AI and human collaboration. Mindset shifts are essential for embracing AI technologies. Skills development is critical for navigating the AI landscape. AI should be seen as a partner in the workforce, not just a tool. Continuous learning and adaptation are necessary in the AI era. Understanding elemental tasks is key to effective AI deployment. Organizations need to decouple growth from resource intensity. Curiosity and openness to change are vital for success. | — | ||||||
| 2/17/25 | ![]() AI and HR Shared Services | In this episode of the AI Evolution podcast, Kristin Rhebergen and Jonathan Gordin discuss the transformative impact of AI on HR, particularly focusing on shared services. They explore the current state of HR automation, the role of generative AI, and how these technologies can enhance employee experience and drive cost efficiencies. The conversation emphasizes the importance of strategic implementation and the potential future of HR shared services in a rapidly evolving technological landscape.Takeaways: 84% of HR leaders expect a shift towards automation. HR Shared Services is central to AI implementation. Generative AI is a new tool for HR automation. Transactional tasks should be automated for efficiency. Generative AI enhances employee experience and engagement. Cost efficiency is a primary concern for HR leaders. HR must lead organizational change effectively. Strategic goals should guide AI implementation in HR. The future of HR Shared Services is promising with AI. Starting small can lead to significant improvements. | — | ||||||
| 2/5/25 | ![]() AI Mindset, Skillset and Toolset | In this episode, Adriana O'Kain and Jason Averbook discuss the transformative impact of AI on business and society. They explore the importance of mindset in adopting AI technologies, the shift towards human-centric skills, and the concept of human-machine teaming. The conversation also delves into the latest AI tools and their capabilities, as well as the future of work in 2025, emphasizing the need for continuous learning and adaptation in a rapidly changing landscape. Takeaways AI is transforming how we solve problems today. Mindset is crucial for effectively using AI tools. Human-machine teaming is essential for optimal work performance. The demand for soft skills is increasing in the job market. Open-source AI tools are democratizing access to technology. The future of work will require a blend of human and machine capabilities. Continuous learning is necessary to keep up with AI advancements. AI can enhance human experiences and drive positive outcomes. Organizations must focus on empathy and understanding in their workforce. The journey towards AI adoption starts with a change in mindset. | — | ||||||
| 12/27/24 | ![]() HR's Role in Unlocking AI in the Workplace | In this episode of the AI-volution podcast, Jim Holincheck and Tara Cooper discuss the latest research findings on HR technology and its impact on the workforce. They explore the role of HR in facilitating AI adoption, the hesitance of employees to embrace new technology, and the trends in HR technology investments, particularly in generative AI. The conversation emphasizes the importance of HR leadership in communicating the benefits of technology to employees and the need for organizations to listen to their workforce's needs. Takeaways HR technology forums provide valuable insights for practitioners. Research shows HR has significant influence over AI adoption. Only a small percentage of employees hear from HR about AI. HR leaders need to communicate more about technology. Digital natives are hesitant to adopt workplace technology. Employees need to see the value in new technology. Investment in generative AI is on the rise. Organizations should listen to employee needs when deploying tech. Ripping out existing technology is not a viable strategy. Community engagement is crucial for navigating HR tech trends. Join our upcoming Generative AI and HR Technology forums: https://www.mercer.com/campaigns/transformation/hr-technology-hub-interest/ | — | ||||||
| 12/15/24 | ![]() Leveraging Generative AI to Drive Implementation Success | In this episode of the AI Evolution Podcast, Jason Averbook discusses the critical role of software implementation and how generative AI can enhance each phase of the process. He outlines five key areas of the Digital Equation of Success: Strategy, Activation, Deployment (+ Tech Implementation) and Betterment and emphasizes the importance of aligning technology with corporate and HR strategies. Averbook provides practical examples of how generative AI can assist in each phase, from creating a vision and readiness assessment to technical execution and continuous improvement. The conversation highlights the need for organizations to leverage AI to transform their software implementation processes into effective, strategic initiatives. Takeaways Generative AI can align corporate and HR strategies. Activation involves preparing the organization for implementation. Deployment focuses on designing for user personas. Implementation includes technical execution and data migration. Continuous improvement is essential for software effectiveness. Generative AI can streamline readiness assessments. Testing brand perception can be enhanced with AI. Documentation and training can be simplified using AI. AI can help identify areas for better software adoption. The implementation process should be viewed as a loop, not a one-time event. | — | ||||||
| 11/27/24 | ![]() Generative AI: Promise or Possibility? | In this conversation, Ryan Malkes discusses the potential of generative AI, emphasizing that its value is a possibility rather than a guaranteed promise. He explores how organizations can leverage generative AI to expedite, enhance, and elevate work processes, but notes that many are only using it for low-impact tasks. Malkes highlights the importance of mindset, culture, and continuous learning in successfully adopting generative AI technologies. He advocates for a shift from traditional behaviors to more adaptive and collaborative approaches when working with AI tools. Takeaways The value of generative AI is contingent on mindset, culture, and learning. Organizations are primarily using generative AI for low-value tasks. A shift in mindset is necessary to see transformational value from AI. Employees need to feel like participants in the AI deployment process. Work-life balance affects how employees utilize generative AI tools. Continuous learning is essential for effective AI adoption. Leadership must encourage experimentation with AI technologies. Generative AI should be viewed as an answer engine, not a search engine. Conversational querying is more effective than traditional search methods. Unlearning old behaviors is crucial for maximizing AI's potential. | — | ||||||
| 11/15/24 | ![]() Getting Ready to Deploy AI at Scale | In this episode of AI Evolution, Mercer's Mike Brennan and Harry West discuss the essential elements for deploying AI at scale within HR organizations. They explore the importance of mindset, people, processes, and technology in successfully integrating AI. The conversation emphasizes the need for a human-centric approach, the rethinking of traditional processes, and the significance of data management and governance in leveraging AI technologies effectively. The episode concludes with insights on the future of AI in HR and the importance of making the integration process enjoyable and engaging. Takeaways AI deployment requires a beginner's mindset. Human-machine teaming enhances organizational efficiency. Rethinking processes is crucial for AI integration. Empathy in HR design is essential for success. Data quality directly impacts AI effectiveness. Governance around technology is often overlooked. Leverage existing technologies for better AI outcomes. AI can augment employee experiences significantly. Continuous feedback is vital for HR processes. AI should address organizational weaknesses. | — | ||||||
| 10/31/24 | ![]() Using AI to Unlock the Power of Your HR & Workforce Data | In this episode, Mike Brennan discusses how AI is transforming HR and workforce data through enhanced analytics. He outlines the people analytics lifecycle, emphasizing the importance of data preparation, system integration, AI-enhanced insights, personalization, and continuous improvement. The conversation highlights the rapid adoption of AI in organizations and the need for a strategic approach to leverage its capabilities effectively. Using AI to Unlock HR and Workforce Data Takeaways: AI is revolutionizing HR data management. Data preparation and cleaning are crucial for effective analytics. System integration enhances data accessibility. AI provides predictive and prescriptive insights. Personalization improves employee engagement and satisfaction. Continuous improvement is essential for analytics practices. Educating teams about AI is the first step. Experimenting with AI tools leads to better outcomes. Aligning AI strategies with HR and IT is vital. Feedback loops enhance AI performance and personalization. | — | ||||||
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Chart Positions
17 placements across 17 markets.
Chart Positions
17 placements across 17 markets.
