In this episode of AI-volution: Redefining HR, Harry West and Lynsey Hathcock, Principal Consultants in Mercer’s HR Next practice, discuss the implementation of AI in HR organizations. They explore how organizations can get started on their AI journeys, the key factors to consider on the journey, and the role of HR in driving the conversation. They also discuss the integration of AI into existing systems and processes, the potential impact on HR roles, and the importance of change management. West and Hathcock emphasize the need for a strategy, experimentation, and monitoring to ensure the successful deployment and sustainment of AI in HR.

Takeaways:

• HR organizations are increasingly interested in implementing AI technologies to improve their processes and enhance the employee experience.
• Getting started on the AI journey requires a clear strategy, considering factors such as governance, collaboration with IT, and identifying the areas where AI can have the most impact.
• Integrating AI into existing systems and processes can streamline workflows and improve efficiency.
• AI has the potential to transform HR roles, allowing HR professionals to focus on more strategic and value-added activities.
• Change management is crucial for the successful deployment of AI in HR, and organizations should continuously monitor and evaluate the impact of AI to ensure desired outcomes.

In this episode of AI-volution: Redefining HR, Mercer Global HR Transformation COE Leader, Emily Liddle, interviews Mercer Asia Regional HR Transformation Leader, Miriam Daucher, about the impact of AI in the APAC and Asia market. Daucher shares her insights on the trends and themes she has observed since AI has become more prevalent in her region. She highlights the diversity and cultural differences in Asia, as well as the varying levels of AI adoption and governance. Daucher also discusses specific examples of how AI is being leveraged in different countries, such as Japan's transformation of work models and China's unique AI solutions. She emphasizes the openness and ambition of Asian countries to embrace AI innovations. They conclude by discussing the opportunities and challenges of AI implementation in Southeast Asia and the importance of data protection and employee engagement.

Takeaways:

• Asia is a diverse region with varying levels of AI adoption and governance.
• Japan is undergoing a transformation in work models, moving from a lifetime employment contract to a job-based model.
• China has its own AI solutions and is open to embracing AI innovations.
• Southeast Asia is a major disruptor in the AI space, with countries like Indonesia and Malaysia leading the way.
• Data protection and employee engagement are important considerations in AI implementation.

In this episode, Jason Averbook interviews Martin Smit, a Senior HR Leader passionate about Artificial Intelligence. They discuss how AI is transforming various aspects of HR, the readiness of HR functions to adopt AI, and the skills needed to navigate the AI-volution. Averbook and Smit also explore the potential impact of AI on jobs and the importance of staying current in the field of AI. Learn more about Martin Smit by following him on LinkedIn and reading his article about AI use cases in Total Rewards.

Takeaways:

• AI will have a huge impact on society, jobs, organizations, skill sets and education.
• HR functions are in the early stages of adopting AI and have a long way to go.
• HR will play a crucial role in helping organizations transform and adapt to the changes brought by AI.
• To get started with AI, HR professionals will have to find ways to overcome concerns about data protection and intellectual property, imagine the possibilities of AI, and develop the capability to translate HR needs into technical requirements.
• The skills that will be most valuable as AI unfolds include interpersonal skills, creativity, and the ability to connect ideas that computers cannot do.
• AI will change jobs, but most jobs will be transformed rather than disappearing all together.
• To stay current in the field of AI, it is important to read, try new tools and technologies, and connect with others in the AI community.

In this episode, Jason Averbook interviews Johannes Sundlo, an expert in AI and HR. They discuss the importance of taking action on AI in HR, overcoming resistance to AI, and getting started with AI tools like ChatGPT. They also address the fear of AI replacing HR jobs and the need for HR professionals to educate themselves on AI. Averbook and Sundlo share personal success stories with AI and emphasize the positive impact it can have on productivity and employee experience. The two encourage HR professionals to embrace AI and have fun exploring its possibilities. Learn more about Johannes Sundlo by following him on LinkedIn and subscribing to his weekly newsletter.

Takeaways

• HR professionals need to educate themselves on AI and take action.
• AI is to be embraced and seen as a tool for positive change.
• AI has the potential to improve productivity and employee experience in HR.
• Resistance to AI in HR can be overcome by starting with simple tools like ChatGPT.
• Personal success stories with AI can help alleviate fears and demonstrate its value in HR.

In this episode, Jason Averbook discusses the advancements and impact of AI in HR. He emphasizes the need for organizations to not wait for government regulations before implementing AI strategies. Averbook also highlights the importance of deep education on AI in HR and provides a framework of educate, experiment, and enable. He addresses the fear of becoming obsolete and offers five strategies to adjust mindset and embrace AI which is also included in Jason's recent HR Executive article: ⁠Strategies to bring true partnership to AI in HR⁠. Averbook compares the current AI evolution to the printing press moment in HR and encourages organizations to approach it with a transformative mindset.

Takeaways:

- Don't wait for government regulations to start implementing AI in HR.

- Focus on deep education to understand and prioritize AI use cases in HR.

- Address the fear of becoming obsolete by embracing lifelong learning and unlearning.

- Reframe the narrative around AI to focus on the positive impact and opportunities.

- Create a culture of innovation and provide support and resources for navigating AI changes.

In this episode, Jason Averbook explores the transformative power of generative AI in shaping the future of employee experience. As the digital age continues to evolve, generative AI is redefining roles, automating mundane tasks, and personalizing the employee experience like never before. From onboarding to performance reviews, compensation, and talent management, Averbook discusses how generative AI is revolutionizing every aspect of HR. Join us as we delve into the impact of generative AI on employee experience and the renaissance it brings to HR in the digital era.

Jason Averbook is joined by two guests from iCIMS: Andreea Wade, VP of Product Strategy, and Al Smith, Chief Technology Officer. In this episode, they delve into the world of HR technology and AI, exploring topics such as responsible AI, bias, and the transformative potential of generative AI.

Jason, Andrea, and Al address the ever-evolving realm of AI and its profound impact. They highlight the exciting possibilities of AI within HR, ultimately enhancing workplace enjoyment and productivity. Their discussion underscores the significance of responsible AI, emphasizing the necessity for cross-departmental collaboration to ensure ethical and transparent AI implementation.

They each predict that AI isn't just a buzzword, but a technology that is here to stay and will continue to be a key discussion point in the foreseeable future, fostering greater AI literacy and promoting responsible usage. Tune in to this dynamic and insightful conversation.

Welcome to the AI-volution: Redefining HR podcast! Jason Averbook is back, recording from Singapore. In this episode, Jason delves into three main topics. First, AI governance, explaining its importance as a set of guidelines for responsible AI development and use. Second, the impactful announcement of Meta's SeamlessM4T, an AI-powered translation engine that directly converts spoken words between languages, revolutionizing communication in HR. And lastly, Jason demystifies large language models (LLMs) contrasting their capabilities with traditional AI and illustrating their dynamic, human-like understanding and interaction. Tune in to explore how AI is reshaping HR's landscape.

List of reasons  for Code of Ethics:

1. Transparency
2. Fairness 
3. Privacy
4. Accountability
5. Beneficence
6. Continuous Improvement
7. Collaboration
8. Education
9. Integrity
10. Public Good

Welcome back to Mercer | Leapgen's AI-volution: Redefining HR podcast. In this episode, Jason Averbook will take you on a journey into the world of AI-powered large language models (LLM) without the technical jargon.

Large language models are like the brilliant minds of artificial intelligence. They can comprehend human language, generate creative content, and offer unparalleled insights. Picture an AI assistant that understands and interacts with customers like a human, streamlining customer service and enhancing user experiences. Join us as we explore how LLMs can empower your organization to thrive in the AI-driven future.

Be sure to subscribe to the AI-volution podcast to stay tuned for inspiring stories, practical insights, and valuable strategies to leverage the full potential ofAI.

Host Jason Averbook discusses and reviews some basic concepts of Generative AI and the impact on society - the reconstitution of jobs with special guest, the amazing and very knowledgeable, Jim Holincheck. Don't miss this episode as they dive into more AI-volution that is quite literally redefining HR. 

In this inaugural episode of the "AI Revolution: Redefining HR" podcast, our host Jason Averbook, Global Leader, Digital Strategy at Mercer was joined by Mercer Work Tech Advisor, Tara Cooper.

Together they explored the impact of AI on the world of HR and work technology, highlighting a unique software vendor that is rethinking how skills are identified by leveraging recognition, rewards and AI. They also discuss the potential for generative AI to transform healthcare as we know it - predicting diseases, reducing the burden on nurses and improving patient care.

An Ode to AI

Bright screens glow in the dead of night As circuits churn and datasets write What poet, what artist could demanding create With such speed, scale, yet no true fate

Welcome to Mercer’s, AI-volution: Redefining HR podcast. This will quickly become your go-to resource for staying informed about the latest tools, platforms, and trends surrounding all things Generative AI. Each week we’ll discuss the cutting-edge technologies offering valuable insights to support & empower HR leaders. Don’t miss an episode as top thought leaders, industry influencers & subject matter experts, share their point of view & analysis as they tackle hot topics around artificial intelligence and automation tools for data analytics and employee experience that are shaping & redefining the future and the NOW of HR.

Want to learn more about Mercer | Leapgen? Let's connect! https://leapgen.com/contact/#consultation

In this episode of AI-volution: Redefining HR, Kristin Rhebergen, Mercer Principal Digital HR Consultant, deems 2024 the year of education and experimentation in AI and HR. HR teams are diving deeper into understanding practical and transformative applications of generative AI. Access to AI tools is a constraint for HR, but organizations are allowing employees to access public platforms and models with strict policies. She goes into how HR is often leading the way in partnership with IT. Education and experimentation in AI should involve stakeholders from all parts of the organization. Rhebergen urges organizations to start small and focus on both tactical and transformative use cases. Use public AI tools for learning, experimenting, and creating proofs of concept. Lastly, it's important to educate, practice, and collaborate to stay ahead in the AI journey.

Takeaways:

• 2024 is the year of education and experimentation in AI and HR
• HR teams are diving deeper into understanding practical and transformative applications of generative AI
• Access to AI tools is a constraint for HR, but organizations are allowing employees to access public platforms and models with strict policies
• HR is often leading the way in partnership with IT
• Education and experimentation in AI should involve stakeholders from all parts of the organization
• Start small and focus on both tactical and transformative use cases• Use public AI tools for learning, experimenting, and creating proofs of concept
• It's important to educate, practice, and collaborate to stay ahead in the AI journey

In this episode of AI-volution: Redefining HR, Mercer AI Strategy & Innovation Leader, Adriana O'Kain, and Mercer HR Transformation Services Leader, Alex Zea, discuss the future of HR in the context of AI. They emphasize the need for HR to focus not only on tactical implementation but also on strategic thinking and the role of HR in caring for the human element in AI-driven teams. They highlight the importance of education, experimentation, and enablement in getting started with AI in HR. O'Kain and Zea also go over the value of innovation labs in driving change and embedding AI learnings. Finally, the two stress the need for a mindset shift and rethinking ways of working to fully leverage the potential of AI in HR.

Takeaways:

• HR needs to focus on both tactical implementation and strategic thinking in the context of AI.
• Caring for the human element in AI-driven teams is crucial for HR.
• Education, experimentation, and enablement are key to getting started with AI in HR.
• Innovation labs can drive change and embed AI learnings in HR.
• A mindset shift and rethinking ways of working are necessary to fully leverage the potential of AI in HR.

In this episode of AI-volution: Redefining HR, Mercer Global HR Transformation COE, Emily Liddle, and Mercer AI Products Sales Leader - EU and UK, David Osborne, discuss their perspectives on the impact of AI on the HR function. They share insights from their conversations with clients and highlight the challenges organizations face in adopting AI. The majority of companies are not ready for AI implementation, both in terms of technology infrastructure and skills. Only about 10% of organizations feel prepared for AI; companies struggle with attracting and retaining individuals with the necessary AI skills. Two use cases of AI in HR are brought up in the episode: generative AI for policy harmonization in M&A processes and AI tools for skills mapping and career path recommendations. The two delve into the future of AI in HR and the potential impact on recruitment, hiring, and skills assessment. They further talk about the role of AI in coaching and people management, as well as the ethical considerations of AI. They wrap up by discussing the challenges of data readiness and integration; human involvement is essential in the AI process. Follow Emily and David on LinkedIn to learn more from them.

Takeaways:

• The majority of organizations are not ready for AI implementation in the HR function.
• Companies struggle with attracting and retaining individuals with AI skills.
• Generative AI can be used for policy harmonization in M&A processes, saving time and effort.
• AI tools can help map skills and recommend career paths, facilitating lateral movement within organizations. AI tooling will play a significant role in recruitment and hiring processes, with a focus on context and skill assessment.
• AI can assist in generating executive summaries of CVs and provide targeted assessments of candidates.
• Skills assessment will see an increase in the use of AI.
• The role of HR professionals in implementing AI is crucial, as they need to ensure data readiness, integration, and ethical use of AI.
• Human involvement and the role of people managers remain essential in the AI-driven HR landscape.

Could AI be like the Olympics? 🌐

Similarly, AI has various disciplines, lots of winners, even more losers, international collaboration, and strict governance. Success is measured by multiple metrics and there is no single finish line. Or is it a zero sum game? You either win or lose, game over.

While some aspects are still unfolding, we can already identify clear winners in this tech race. Companies like Apple, NVIDIA, and Microsoft are medalists to be sure. However, what happens when Apple doesn’t need their OpenAI band-aid, er, partnership, any more? Where does Alphabet Inc. net out in all this? What happens to applications, platforms, point solutions, and market places? What does all of this have to do with HRTechnology and your experience architecture?

HR, the latest AI developments have EVERYTHING to do with your experience architecture. When Sam Altman called this a "printing press moment" before Congress last year, he meant the opportunity of technology to become a significant change agent in tipping the trajectory of things. We're already seeing proof in the world of work.

Jason Averbook and Jess Von Bank go over all the latest AI developments, share high-value use cases for Human Resources and the workforce beyond the obvious and they provide demonstrations of some of the best innovation we've seen.

Download Mercer's Now of Work Digital Meetup AI Discussion presentation that Jason and Jess use to review the latest AI updates.

In this episode of the AI-volution: Redefining HR podcast, Jason Averbook is joined by Ravin Jesuthasan, Mercer Global Transformation Services Leader, to discuss the impact of AI on work, HR, and humanity. They explore the misconceptions around AI and the need for a clear understanding of its different applications. They also discuss the transformation of work and the skills needed in the workforce. The conversation highlights the importance of re-architecting work for a generative AI-ready environment and the need for continuous reinvention. The two cover the impact of AI on work and the need for organizations to understand the nuances of skills and job transformation; Averbook and Jesuthasan emphasize the importance of redesigning work to leverage AI and automation effectively. They delve into the societal implications of AI and the need for proactive measures to address the rapid advancements in technology. Continuous learning, experimentation, and consideration of ethical and humanistic perspectives sit at the center. The conversation concludes with a sense of excitement and responsibility to shape the future of work for the better. Check out Ravin’s website and books:

1. Work Without Jobs: How to Reboot Your Organization’s Work Operating System
2. Transformative HR
3. Lead the Work: Navigating a World Beyond Employment
4. Reinventing Jobs: A 4-Step Approach to Applying Automation to Work
5. The Fast Future Blur: Discover Transformative Interconnections Shaping the Future
6. HR 4.0: Shaping People Strategies in the 4th Industrial Revolution

Takeaways:

• AI is having a profound impact on work, HR, and humanity, and it is important to understand its different applications.
• The transformation of work is happening rapidly, with significant changes in the skills needed in the workforce.
• Generative AI has the potential to reshape work by allowing machines to work with humans, rather than humans having to learn how to use machines.
• Re-architecting work for a generative AI-ready environment is crucial for realizing the full potential of AI.
• Continuous reinvention is necessary to adapt to the changing landscape of work and technology. AI and automation have a nuanced impact on work, requiring organizations to understand the transformation of skills and jobs.
• Redesigning work is essential to effectively leverage AI and automation, leading to increased capacity, reskilling opportunities, and new types of skills.
• The rapid advancements in AI technology raise concerns about societal implications and the need for proactive measures and safeguards.
• Continuous learning, curiosity, and learning agility are crucial for individuals and organizations to navigate the complex and evolving landscape of AI.
• Leaders must take responsibility for shaping the choices and governance around AI, considering long-term consequences and humanistic perspectives.

Apple made a significant AI announcement at the Worldwide Developers Conference 2024. The announcement focused on Apple's approach to design and the impact of AI on HR and HR technology. The key takeaway is that AI is now accessible to everyone, changing the employee experience and how we work. The seven key themes discussed are multimodal AI, agentic interactions, frictionless experiences, predictive capabilities, delegation, modularity, and privacy. These themes highlight the transformative potential of AI in the workplace. Jason Averbook breaks down these theses and how organizations need to start thinking about how to leverage AI and design for the human instead of designing to work with machines.

In this episode of AI-volution: Redefining HR podcast, Tara Cooper, Work Tech Analyst at Mercer, discusses her recent tour of analyst days and industry conferences across the United States, focusing on the presence and impact of AI in HR technology. She highlights the unique approaches of companies like Paradox, Phenom, Walkme, and the Unleash America Conference, emphasizing the need for a realistic and strategic approach to AI adoption in HR. Follow along Tara Cooper's epic AI and HR Technology adventures by following her on LinkedIn https://www.linkedin.com/in/taracooper1/.

Takeaways:

• AI in HR Technology is being approached in unique and impactful ways by companies like Paradox, Phenom, and Walkme.
• The Unleash America Conference emphasizes the need for a realistic and strategic approach to AI adoption in HR, focusing on solving real challenges.
• AI is out of the bag and here to stay, but it doesn't have to be scary or hard. Organizations need to have the courage to explore it and prepare their people for it.

In this episode of the AI-volution: Redefining HR podcast, Jason Averbook interviews Amy Blankson, Chief Evangelist at the Digital Wellness Institute, about the concept of digital wellness and its impact on happiness. They discuss the evolution of concerns around technology and happiness, the importance of human behavior in determining happiness, and the need for individuals and organizations to take responsibility for their digital wellness. Averbook and Blankson also explore the measurements of digital wellness and the role of AI in relationships and well-being. The episode concludes with a discussion on Digital Wellness Day and the future of digital wellness. Learn more about Amy Blankson by following her on LinkedIn and checking out the Digital Wellness Day website.

Takeaways:

• Digital wellness is about optimizing health and wellness in a hyper-connected world.
• Concerns about technology and happiness have evolved over time, but it is the way we use technology that impacts our happiness.
• Digital wellness is a joint responsibility of individuals and organizations.
• Measuring digital wellness is important to understand and improve our relationship with technology.
• AI can play a role in well-being, but human connection and understanding are still essential.
• Digital Wellness Day is an opportunity to reflect on our digital habits and have conversations about digital wellness.

In this episode, Mike Brennan, Partner & Digital HR & Technology Advisory Services Leader at Mercer, discusses the importance of cross-functional collaboration to create an enterprise AI vision.

Learn why you need to jumpstart development of your AI vision and strategy, and why it's important to remain agile and adaptable to potential disruptors.

Takeaways

• Cross-functional collaboration is crucial for creating an enterprise AI vision.
• Executive leadership, IT, HR, business stakeholders, legal and compliance, finance and procurement, and external constituents should be involved in the process.
• Strategic alignment with guiding principles and measures of success is important.
• Guiding principles may include data quality and management, integration with other systems, ethical and responsible use of AI, and changefulness.
• Success measures can vary widely and may include customer-related measures, innovation-related measures, operational efficiency measures, and measures related to the impact on the workforce and engagement.
• It is important to start developing an AI vision and strategy early and remain agile and adaptable to potential disruptors.

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.

In this episode of the AI Evolution Podcast, Mercer's Adriana O'Kain and Jose Molina discuss the transformative impact of AI in the workplace, emphasizing the importance of education and immediate action for organizations. They explore the risks associated with AI deployment, the need for HR professionals to embrace AI as a thought partner, and the insights gained from the AI Essentials for HR course. The conversation highlights the urgency for organizations to adapt to the rapid advancements in AI technology while ensuring responsible and ethical use.

Takeaways:

• Education is critical for anything in our lives.
• We are in the midst of the most rapid technological advancement.
• Organizations have to act now because their employees have this access.
• The learning is more around how can I tackle this differently?
• If we get it wrong, we will exacerbate inequalities.
• Let's get it right and let's have HR lead that effort.
• We want to encourage, we want to educate, and we want to enable.
• AI is already being adopted.
• How can we make things better?
• The importance of a digital mindset for AI adoption.

In this episode, Mercer's Global HR Transformation COE, Emily Liddle, and Digital HR Strategist and Service Delivery Leader, Kristin Rhebergen, discuss the key themes and insights from the Gartner ReimagineHR Conference held in London. They explore the growing global audience, the importance of technology in enhancing employee experience, and the evolving role of HR in the age of AI. The conversation emphasizes the need for a strategic approach in HR, focusing on what makes organizations unique and how to effectively utilize technology to improve workforce experiences.

Takeaways:

• The Gartner Reimagine Conference showcased a diverse global audience.
• Technology should enhance the human experience in HR.
• HR must act as the steward of humanity in the workplace.
• A digital mindset is essential for HR's future.
• Identifying 'good vs. great' helps prioritize HR initiatives.
• Organizations should focus on integrating existing technologies.
• AI is a catalyst for change in the workplace.
• HR needs to deliver value for both employees and the business.
• Conferences like Gartner provide insights into future HR trends.
• Mercer plays a crucial role in guiding HR technology strategies.

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.

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.

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.

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/

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.

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.

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.

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.

Takeaways

• Governments 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.
• 
  

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.

Takeaways

• Organizations 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.

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.

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.

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.

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.

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.

In this episode of the AI-volution Podcast, host Adriana O'Kain and guest Kate Brown discuss the growing integration of AI in employee benefits. They explore current trends, the importance of understanding the 'why' behind AI adoption, and the potential for AI to enhance employee experiences and transform benefits enrollment processes. The conversation highlights the need for organizations to take proactive steps in leveraging AI technology responsibly and effectively.

In this episode of the AI Evolution Podcast, host Adriana O'Kain invites Jason Averbook, to discuss the rapid changes in business and technology, the importance of balancing human insight with AI capabilities, and the need for organizations to adopt a mindset of continuous learning and adaptation. Jason emphasizes the significance of understanding the value of AI, the necessity of first principles thinking in HR, and the critical role of trust in navigating organizational change. The conversation highlights the importance of education over mere training in preparing the workforce for an AI-driven future.

In this episode of the AI-volution podcast, host Adriana O'Kain and guest William Self discuss the transformative role of AI in HR, emphasizing the importance of aligning AI initiatives with business strategy to create competitive advantages. They explore the intersection of data science and HR, the need for strategic workforce planning, and the balance between efficiency and innovation. The conversation highlights the necessity of preparing the workforce for future changes and the personal applications of generative AI.

In this episode of the AI Evolution podcast, Adriana O'Kain and Tara Cooper discuss the challenges and opportunities organizations face in adopting AI technologies. They explore the overwhelming pace of innovation, the importance of leadership in navigating uncertainty, and the need for a culture of trust and collaboration in the workplace. The conversation highlights the significance of intentional approaches to AI implementation, the role of vendors in supporting transformation, and personal applications of AI in everyday life.

• AI Readiness Index
• HR Technology's Impact on the Workforce

In this episode of the AI Evolution Podcast, host Adriana O'Kain engages with Lauren Mason, a partner at Mercer, to discuss the evolving landscape of total rewards in the context of AI transformation. They explore the key pressures driving change in total rewards, the adoption of AI technologies, and the challenges organizations face in implementing these solutions. The conversation highlights the shifting role of total rewards professionals and consultants in navigating this transformation, emphasizing the importance of data quality, change management, and the unique journey each organization must undertake. Personal insights on the use of AI in everyday life further illustrate the growing integration of technology in both professional and personal contexts.

• Rewards revolution: How rewards leaders are transforming into strategic performance architects

• Rewards Transformation Diagnostic

Mercer's Kate Bravery joins host, Adriana O'Kain, to explore the critical role of trust in organizations and its impact on employee well-being and career development. It emphasizes the need for organizations to foster a culture of trust and support to reduce burnout and stress among employees. Additionally, the discussion highlights the importance of upskilling and providing opportunities for career advancement to ensure employees feel valued and engaged.

In this episode of the AI Evolution Podcast, Adriana O'Kain and Brian Fisher discuss the transformative impact of AI on HR and workforce development. They explore essential skills needed to thrive in an AI-driven world, the role of AI in skills development, and the shift towards skills-powered organizations. The conversation highlights the importance of curiosity and lifelong learning, as well as practical applications of AI in daily work processes.

In this episode of the AI Evolution Podcast, host Adriana O'Kain speaks with Emily Liddle from Mercer about the transformative impact of AI on HR practices. They discuss the newly launched AI native operating model, the concept of digital fabric, and how organizations can safely transition to integrating AI into their daily workflows. Emily emphasizes the importance of clarity, purpose, and the role of AI as a thinking partner rather than just a tool. The conversation highlights the exciting opportunities that AI presents for redefining work and leadership in the modern era.

• Download the new POV: Operating by Design: An Outcomes Model for Perpetual Change
• Watch the webinar replay: Breaking the mold: Mercer’s outcome driven operating model

In this episode of the AIvolution Podcast, host Adriana O'Kain brings back Tara Cooper to discuss the evolving landscape of AI readiness in organizations. They explore the importance of mindset, communication, and leadership in successfully implementing AI technologies. The conversation highlights the need for a clear vision and the role of HR in driving AI initiatives, as well as personal insights on how AI is being utilized in daily life.

In this final episode of the AI-volution podcast, host Adriana O'Kain reflects on the significant changes and surprises in the world of AI and digital transformation throughout 2025. Joined by Jason Averbook, they discuss the fragility of AI adoption, the critical role of middle management, the necessity of judgment in the AI era, and the emergence of composable software as a key to future work. The conversation emphasizes the need for clarity in leadership and the importance of creating a safe space for employees to adapt to these changes.

Continue your AI journey with us over on Mercer's New shape of work podcast