Josh Bersin

This week I'm in New York “Live!” and there are some exciting things happening: we launched our newest research on “The Five Types of Frontline Worker” which will help you dramatically improve that part of your business, and Cornerstone, the largest L&D tech provider, went BIG into AI. Listen up for more details, and read the newest article for analysis. Additional Information Josh Bersin Company Defines New HR Taxonomy for Frontline Workers to Improve Hiring, Pay, Retention, and Management Research: Understanding The Five Types of Frontline Workers Cornerstone Launches Its Reinvention, Helping to Redefine Corporate Learning Get Galileo: The Everything HR AI Agent for HR and Leaders   Chapters (00:00:00) - Cornerstone on the frontline labor market(00:00:21) - The frontline workforce and the cornerstone(00:03:47) - The Future of Workforce Segmentation(00:12:25) - The future of learning is dynamic content(00:17:26) - Josh Burson at Irresistible 2026(00:19:17) - Podcast

This week I turn 70 so and we're in college graduation season, so I took some time to give you my perspectives on “The Liberal Arts Education,” and why it matters so much. Not only are liberal arts important to your personal understanding of the world, they give you career skills you'll use forever. I explain today, using myself as an example, why and how liberal arts, science, history, politics, and learning to think and write are the most important skills you have. As we read about college grads complaining about AI and struggling to find jobs, I think you'll find this inspiring and positive for the future. We're living in a very disruptive time, and your perspectives on the “system of life” and “system of work” is one of the most valuable capabilities you build over time. I'll be talking much more about this in New York this week, and I hope to see many of you there or at Irresistible in June. Have a wonderful weekend and I hope this podcast gives you new perspectives you can use in your life as a professional, HR leader, manager, or parent. Additional Information Irresistible 2026: The Global HR Conference for Leaders and their Teams – join us! Liberal Arts Colleges in Crisis: Long Live Liberal Arts (Bloomberg) Introducing HR 2030: A Vision For Agentic Human Resources Everything We Know About HR and Leadership: Get Galileo, the AI Superagent for HR   Chapters (00:00:00) - I actually did have a liberal arts education. My engineering degree came later(00:08:24) - The Human Dimension of HR(00:16:59) - Systematic HR: The Human Capital System

Frontline workforce hiring is important: these are the workers who deliver services, care for patients, and deliver the food or products that we rely on every day. Yet as we look at benchmarks for hiring and retention we see massive variations across companies. In fact the highest-performing companies hire 5-times quicker than others, and also find higher quality candidates! (Speed actually improves your quality of hire…) Nehal Nangia, our lead analyst studying frontline work, explains the complexities. And as you'll hear from Josh Secrest from Paradox, there are massive business implications in time to hire. Interestingly enough, well designed AI platforms for frontline hiring have a massive return on investment.  As Nehal explains, frontline hiring is very complicated, and fewer than 25% of companies have figured this out. Lots of room for innovation and AI tools to help! This podcast will open your eyes. Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive The Talent Acquisition Revolution: How AI is Transforming Recruiting Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You. Insights-First AI: Better and Explainable People Decisions   Chapters (00:00:03) - Time to Hire and Quality of Hire(00:02:52) - The Longer Time to Hire(00:07:29) - Time to Hire: The Business Case(00:13:53) - How to Manage AI in Restaurants(00:16:42) - The $64,000 Question(00:18:54) - Is AI Affecting the Job Interview?(00:21:40) - The Future of Managers(00:24:46) - Management Technology: The Problem(00:26:10) - Frontline Workers: Flexibility Is Key(00:30:24) - Good Hires vs. Bad Hires(00:32:05) - Employee retention and break-even points(00:34:54) - Fooling around with React: Explained

I just attended the Eightfold user conference where they introduced TalentForge, a toolset to build agents, and the CEO Ashutosh Garg told us their HR team could build their own HRMS. Gloat is offering much of the same toolset, with integrations into Microsoft Teams, Copilot, Gemini and Claude – and you can import all your business rules from SuccessFactors, Workday, and other tools. And almost all HR vendors (Findem, Eightfold, our own Galileo) have MCP plugins so you can access them in any agent you choose. So the big question looms: what should you build and what should you buy? In this podcast I explain some of the considerations here and warn you that A) this is not as “easy” as it looks, and B) in a corporate setting you may want to think twice before you embark on a major replacement on your own. On the other hand, fire up Cowork or another tool and build your own personal agent, as long as your data security is in place. Lots of experimentation ahead and we will introduce you to companies that have built dozens of amazing HR agents at Irresistible 2026. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything Could Microsoft Win The War For Enterprise AI? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) The Superagent for HR: Galileo Mars Release Chapters (00:00:00) - Building a Talent Portal in the Age of AI(00:09:46) - Will Businesses Reboot Their Processes With RPA?(00:10:47) - Build vs. Buy in the HR world

We're now at a stage where enterprise-class AI solutions are real, and suppliers are jockeying for position. Microsoft has consolidated its Copilot efforts into a more integrated offering, and also raised prices. Workday and ServiceNow have defined new consumption-based pricing models which shift from “buying seats” to “buying capacity.” The Frontier model vendors like Anthropic and OpenAI are spending money massively, ready to go public soon, so we'll understand their business models. And in the meantime both are investing in PE-backed joint ventures to build more engineering and implementation services to speed enterprise adoption. The big story is clear to me: we're in the early stage of a multi-trillion dollar redesign and reinvention of our companies, employee experiences, and customer experiences – all moving to a model we call “Dynamic Enablement.” Despite this direction, the products are new and immature, so there's lots of risk-investment to undertake. In this podcast I give HR and IT buyers our experience with AI projects so far, and show you that a focus on near-term use-cases is the best way to proceed. As they say, you can only eat an elephant “one bite at a time.” Just as mainframe transformation took decades, so will AI transformation take time (albeit less time!). So invest wisely and you'll see tremendously positive ROI quickly. Finally let me offer our help. We've already helped dozens of companies build high ROI AI solutions in recruiting, training, enablement, and employee experience. Watch for more in our HR 2030 program to stay in touch. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents Could Microsoft Win The War For Enterprise AI? ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Superagent for HR: Galileo Mars Release Chapters (00:00:00) - AI and the Job Market(00:07:43) - The future of IT spending on AI(00:16:29) - The Future of Work and Human Talent

This week ServiceNow launched a massive set of new products to establish itself as the system that manages every AI agent in the enterprise.  It's a bold set of new products, including Otto (Moveworks), the Agent Fabric, the Context Engine, and the Autonomous AI Specialists. In reality the strategy is an expanded view of what Workday (Agent System of Record and Sana) and Microsoft (Agent 365 and Work IQ) are doing, but with a much deeper set of tools. Not only is this a bold move to accelerate Agentic HR and Agentic business systems, it now explains why enterprise software companies are far from dead. In fact, the monetization model here is for you to pay for AI credits (ServiceNow has different levels of usage) and that revenue, which helps ServiceNow grow, is offset by your reduction in labor cost. It's all explained in this article and the podcast, and the implications are big for IT, HR software companies, and all of you trying to build AI solutions for your team. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents Could Microsoft Win The War For Enterprise AI? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) The Superagent for HR: Galileo Mars Release Chapters (00:00:00) - ServiceNow's AI Announcement(00:01:04) - ServiceNow's Sprawl of AI Agents(00:03:42) - ServiceNow vs. Workday: The AI Control Tower(00:13:10) - WSJD HR 2030: The Agent Roadmap

I had an uplifting conversation with Jen Morgan, the CEO of UKG, a $5 billion global AI platform for HR, pay, and workforce management. In addition to talking about the company and her role as CEO, she actually has another mission: to put Frontline Workers first in our economy. Frontline workers, the people who deliver groceries and food, care for patients in the hospital, work in hospitality, or maintain public safety, make up 72% of the US workforce and almost 80% of employees worldwide. These often hourly or shift workers form the backbone of our economy: making our lives better, putting out fires, and keeping our streets safe. UKG's mission is to make their work lives better through better scheduling, pay, benefits, hiring, and training systems – all in an integrated offering called “The Workforce Operating Platform.” Built through the merger of Kronos with Ultimate Software in 2020, UKG has pioneered this groundbreaking integrated solution. UKG has more than 80,000 customers and serves more than 65 million workers every day. And its software and tools support and monitor much of their daily lives at work, so Jen knows a lot about what it takes to run what we call a “Frontline First” company. I know you'll enjoy this conversation, and stay tuned for our new research on the Dynamics Of The Frontline, coming this month. Additional Information UKG Stakes Out Leadership Position In $6.5 Trillion Market For Frontline Work Powering the Frontline Workforce: How Frontline-First Companies Thrive Josh Bersin Company Highlights Cost of Neglecting Frontline Workers Get Galileo, The AI Superagent for HR Chapters (00:00:00) - Meet Ukg CEO Jen Morgan(00:00:20) - In the Elevator With Ukg.com's CEO(00:02:22) - The U and the K: Ultimate Software and Kronos(00:06:06) - Immortal on the Future of the Workforce(00:13:51) - Top Employers: The Great Place to Work(00:20:05) - UKG CEO on the Impact of AI on the Company(00:26:42) - Mid-Market Companies: Our Role(00:27:28) - Top Executives: The World Class Organization

This week we saw some astounding GDP numbers, a modest 2% growth with an astounding 70% attributed to AI capital spending. The US economy is heavily AI centric, starving spending on housing which ultimately contributes to income inequality. At the same time companies are now reducing employee benefits, halting a two decade steady increase. It's all about the shift from labor to machines, I guess. I also talk about the role of legacy systems in the new world of Agentic HR, Agentic Finance, and Agentic ERP. Lots going on, I hope this gives you some perspective on the massive AI economic transformation we're living in. It's all good and one of the most exciting times in our careers. Additional Information Why AI Is A Massive Job-Creation Technology, Despite What You Think Introducing HR 2030: A Vision For Agentic Human Resources The Reinvention of Workday: From System of Record to Platform of Agents The Superagent for HR: Galileo Mars Release Irresistible 2026: The Global Conference for HR Leaders and their Teams (June 8-10, USC) Chapters (00:00:00) - Economy and the Stock Market(00:02:33) - Some Companies Are Reducing Employee Benefits(00:08:17) - The Role of Managers(00:12:59) - The Legacy of Salesforce, Workday(00:18:54) - Want to pitch your AI Stories? Here!

What does it take to bridge one of the most persistent translation problems in talent acquisition – getting a Fortune 500 recruiter to see why a Little Bird attack helicopter pilot from the 160th Special Operations Aviation Regiment is the perfect candidate for their open role? Tim Best, CEO of RecruitMilitary and former active duty Army officer, gives us a mission-driven and practical answer: go beyond the resume. Resumes and job descriptions flatten people. And for veterans, who enter the civilian workforce carrying hundreds of thousands of skills and attributes that don't map to corporate job architectures, that flatness is the enemy. The technology RecruitMilitary built with Findem, the Veteran Talent Source, solves this by giving recruiters a three-dimensional view of who a candidate actually is: not just what they did, but what they've continuously become. Because profiles are enriched in real time, the candidate in someone's ATS today is not the candidate from 25 years ago – and the AI knows the difference. The results are outstanding. In 2025, RecruitMilitary created over 600,000 connections between employers and military community job seekers. The hyper-personalized outreach campaigns powered by the Veteran Talent Source are generating email open rates of 80–90% and click-through rates five times higher than industry norms. These aren't just efficiency gains but create a fundamentally better experience for veterans, who have long lived with the frustration of applying and never hearing back. Tim's vision is for veterans inundated with recruiters who understand them, not spam from algorithms that don't. But Tim's ambitions go further than better sourcing. He wants veteran hiring to stop being a special project that lives in a corner of the TA function and instead become a normal part of a recruiter's everyday workflow, all made possible by AI. Looking ahead to the agentic AI era, Tim sees the next leap: intelligent job posting and agent-driven delivery that reduces friction between “here's my job description” and “here are the right people to talk to” to (almost) nothing. This conversation is essential listening for anyone in talent acquisition who wants to understand how AI creates new business value, not just faster versions of the old model. Related resources Podcast: Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You. Research: Insights-First AI: Better and Explainable People Decisions Research: The Talent Acquisition Revolution: How AI is Transforming Recruiting Chapters (00:00:03) - What Works: The Future of Talent(00:00:40) - Interview: Tim Best on Recruit Military's AI(00:03:27) - What Recruit Military Jobs?(00:05:21) - David Furnace, Head of Veteran Talent at HR Tech(00:08:32) - The Veteran Talent Source(00:15:57) - Veteran Recruitment Tech(00:17:04) - What's The Challenge of AI at Work?(00:19:39) - What lessons learned would you share with employers about AI and the role(00:22:03) - Machine Learning and the Veteran Talent Market(00:24:26) - What Works With Recruit Military

This week I discuss Workday's new AI announcements described at the Innovation Summit last week. These are sweeping new product, leadership, and organizational changes that effectively reposition from a “system of record” to a “platform of agents.” As you'll hear, not only is Workday clearly articulating their strategy to support and enable Agentic HR and Agentic Finance, the company has changed its organization, culture, and financial model. There's a lot to unpack here, and I know all Workday customers, partners, and competitors will have opinions. In this podcast I try to explain this whole story and why it marks the beginning of a very new chapter for Workday as a business. Additional Information Experience Sana for Yourself: Galileo Mars Release Irresistible 2026: The Global Conference for HR Leaders and their Teams (June 8-10, USC) HR 2030: The Agentic Future of HR (detailed handbook coming!) Detailed Article on Workday   Chapters (00:00:00) - The Reinvention of Workday(00:07:17) - The Future of Application Development with Generative AI(00:10:33) - Agents and the AI future(00:18:57) - Employee Experience: A Vision for the Future

This week I recap a busy week including corporate AI stories, Workday's AI reinvention, more on tech Layoffs, and fears of AI-driven surveillance. The important story is that Enterprise AI is much more complex than most imagine yet the AI vendors like Anthropic and OpenAI make it sound deceptively simple. In reality, as I explain, we are one year into the total reinvention of all business functions, with HR top on the list. And as I explain, the vision of enterprise success is now clear, but the vendor market is incredibly insecure. I think you'll find Workday's story compelling, but it's not the only option out there. On the news side, we saw the “pre-layoffs” of 10% of all Meta employees, elimination of family benefits at Deloitte and Zoom, and some amazingly creepy surveillance at Meta's AI group. I review all this and try to give you some context. As you listen I encourage you to read our 2026 Enterprise AI Imperatives and the preview of HR 2030, our in-depth look at where AI in HR is going. An in-depth review of Workday's new AI strategy is coming this next week. Additional Resources Meta Employees React to Massive Layoffs to Come Deloitte and Zoom Take the Lead in Slashing the Most Coveted Benefits The week that Meta employees became training data Why AI Is A Massive Job-Creation Technology, Despite What You Think Workday and Sana Unveil A Bold New Strategy For AI Chapters (00:00:00) - Enterprise AI: Where we are?(00:02:10) - Workday's AI push with Sana(00:09:53) - WSJD Live: The Workday World(00:11:10) - Agent Companies: What to Avoid(00:13:36) - Microsoft's Layoffs, and More(00:18:07) - Facebook's Surveillance of Employees

In this episode, Kathi Enderes sits down with Rob McAuslan, Vice President for Artificial Intelligence at Southern New Hampshire University (SNHU), one of the world's largest and most innovative online universities with more than 200,000 students. Before leading SNHU's AI strategy, Rob taught, worked, and volunteered across Africa, the Mediterranean, and East Asia, working with populations ranging from K-12 students to refugees to graduate scholars. That lived experience shapes everything about how SNHU thinks about AI: not as a tool for automation, but as a means of expanding access, amplifying human potential, and meeting learners exactly where they are. SNHU is no ordinary university. As one of the largest and most innovative higher education institutions in the United States, it has built its reputation on making education accessible to learners who the traditional system has often left behind: working adults, career changers, veterans, and underserved communities. Rob's role as VP for AI sits squarely at the intersection of that mission and the most consequential technological shift of our time. Rob and Kathi discuss what it really means to deploy AI with humans at the center, and what that demands of institutions, leaders, and learners alike. The conversation moves through the practical and the philosophical: How do you design AI experiences that honor the dignity and complexity of every individual? What does skills-based, AI-enabled learning look like for someone who has never had access to it before? And what can higher education teach the corporate world about building AI that actually serves people rather than simply processing them? If you're a CHRO, CIO, learning leader, or business executive wondering how to move beyond pilots and hype, this conversation will show you what responsible, scalable AI adoption really looks like—and how to get started in your own organization. Related resources Podcast: The Rise Of The Supermanager – JOSH BERSIN Research: AI Pacesetters: Six Secrets Of The Superworker Company – JOSH BERSIN New Certificate Course in Galileo Learn: AI in L&D Get Galileo: The AI Superagent for You Chapters (00:00:03) - What Works in the Future of Work(00:00:40) - How Southern New Hampshire University Is Taking a Human Approach to AI(00:02:58) - How to Apply AI at Southern New Hampshire University(00:07:49) - Southern New Hampshire University's 4-Stage AI Adoption Model(00:14:16) - One of the issues around AI governance(00:19:13) - Employee Experience and AI in the People Team(00:21:43) - WSJD Live: The AI Policy(00:23:32) - In the Elevator With Provost Rob Ferguson(00:24:06) - What Works In Education? With Rob McAuslan

This week, as Ronan Farrow's expose on Sam Altman was published, I want to sensitize you to the fact that AI companies are run by humans. And this means that what we buy and how it works is very dependent on leadership, culture, values, ethics, and the personal motivations of these young, ambitious executives. Obviously this is nothing new, but in this case OpenAI and Anthropic are by far the fastest growing businesses ever created on planet earth. So their ability to steer, direct, and prioritize their investments makes a huge difference in how they meet the needs we have in our companies. I have learned over the years that great, long-lasting tech companies are among the most tumultuous businesses to lead. Not only are the personal economic payoffs huge (I live in a community with lots of Anthropic millionaires) but they are brutally competitive and the cost of a missed opportunity can sometimes be fatal. In this case, I admire all the people in this space but as the AI vendors play larger roles in our lives and careers, we have to think much harder about their leadership and culture. As you'll hear, many others (analysts, stock market, politicians) are also working on this, and I think we're likely to see some of the most interesting business “drama” play out in the coming years. As a consumer and buyer of AI, I encourage you to investigate the leadership, culture, and motivations of the vendors you do business with – it really matters. Additional Information New Yorker Expose on Sam Altman Interview with Ronan Farrow, author Irresistible: The Leadership Culture that Works The Value of Values When Organizations Lose Trust Get Galileo: All Our Research and Leadership Academy In AI   Chapters (00:00:00) - The Human Side of Building AI(00:02:40) - Microsoft and the Human Side of AI(00:10:59) - The culture of startups(00:17:57) - NVIDIA and the future of tech

The Microsoft Copilot is even more expansive than you think. In this podcast (and detailed article on Substack) you see how Microsoft's new Copilot “surface” (ie. product strategy) is likely to give them the lead in revenue and market share for Enterprise AI. There are many players to consider here: Anthropic, OpenAI, Oracle, Nvidia, and vendors like ServiceNow, Okta, and big platforms like Workday (Sana), SAP (Joule), Salesforce, and others. Despite all their various strengths and revenue streams, Microsoft has a huge advantage. And as you'll hear, the corporate AI market is moving from “models” to “applications” (Surfaces) with an enterprise focus on Agent build, Agent deployment, Agent security, and Agent management. Microsoft is building to this direction and the recent leadership reorganization is fueling this momentum. Read this in-depth analysis of Microsoft vs. Anthropic vs. OpenAI revenue and enterprise AI strategy. Additional Information How Microsoft Could Take The Lead In Enterprise AI (substack) The Context Layer (Semantic Layer) In Enterprise AI And Where Business Rules Go (podcast) Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR   Chapters (00:00:00) - Why Microsoft Is the Leader in AI(00:02:41) - The Future of AI: No One Model(00:09:52) - Microsoft's Work IQ and the Context Layer(00:21:01) - SANA vs. Microsoft: How Microsoft Will Win

One of the new enterprise AI challenges we face is this: where do we put all the business rules, security rules, policies, and company specific practices we've built into our legacy systems for the last 30 years? If we want to embark on Agentic HR (or any other domain), do we rebuild all these rules in the Agents? Well the big idea going forward is the development of a “context layer” or “semantic layer” which stores all the company structure, rules, and policies in a single place. Today ServiceNow introduced its “Context Engine” which plans to do this, and last week Gloat did the same. In this podcast I explain what this is and the implications of various AI architecture options, and compare the idea of building this in ServiceNow or Gloat or using AI Agent tools from Workday, Oracle, SAP, or other incumbent vendors. Additional Information Agentic HR: Where Enterprise AI Is Going – Imperatives  Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR   Chapters (00:00:00) - What is the Business Rule(00:07:41) - ServiceNow, Business Rules Integration

In this podcast I talk with Josh Secrest, VP of Marketing at Paradox (Workday) about how we segment the “frontline” into useful worker categories. As you will hear, the complex issues of hiring, training, managing, leading, and building operational excellence vary widely from role to role. Many companies think “Frontline” is a category. As you'll discover, this is not really true. Our new research shows that there are more than 800 “Frontline” worker job titles and they are not only industry-specific but also vary by skill type, skills depth, front or back office, licensing, and professional credential. And these dimensions play a major role in all HR, pay, reward, training, scheduling, and retention strategies. This episode sets the stage for our follow-on podcasts where we detail the Five Types of Frontline Work, a body of research you'll find even more useful in leading this important part of our companies. Remember, Frontline work makes up over 70% of all US (80% global) workers, and commands more than 3 $Trillion of pay and rewards investment. Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive (research) Josh Bersin Company Highlights Cost of Neglecting Frontline Workers (research) An Exploration into the Frontline Workforce with Josh Bersin (video) Tailor your HR and Management Programs for Frontline Work with Galileo, the Expert AI Agent for HR Chapters (00:00:02) - Frontline Conversation(00:07:40) - The Importance of Qualifications in Your Sales Pitch(00:09:12) - Employment Segmentation(00:10:24) - Training costs of the logistics industry(00:14:01) - How to Find and Retain Talent in Healthcare(00:14:41) - One Restaurant Group's Shift From Part-Time Work to Full Time(00:17:13) - Discussing Full-Time vs Part-Time Jobs(00:18:14) - Josh Ferson(00:19:51) - The Future of Segmentation in Business

As AI expands its role all over our companies, a big question comes up: What will AI Agents do to HR and all our human capital practices? One could imagine the HR department “going away” or being replaced by agents, and managers interacting with this AI Agent Cloud for hiring, pay, promotion, hourly scheduling, and training. Is that where we're really going? This week we're starting to introduce our HR 2030 Vision, which brings together the world of Systemic HR (HR as an integrated operation, not only COEs) and our AI Superagent/Agent architecture. Vendors are slowly moving in this direction and we see HR leaders and operating groups also moving this way at various rates of speed. Many tech companies are moving in this direction quickly (Microsoft, Roblox, Google, others) while most other industries are still struggling to integrate systems and start their Agent journeys. This new vision, as bold as it seems, is very likely to come true in the next four years and it transforms HR into the business enablement function it always aspires to be. We see HR 2030 as a collective program of innovation, learning, and technology exploration. If you'd like to join us in this effort please reach out, and use Galileo to ask your questions and help build your roadmap. Every HR leader and HR team in the world is pondering this future, and we are here to guide you down this amazing path ahead. Topics: HR2030, Agentic HR, Agentic AI, Future of Work, Digital Twin, HR Transformation, HR jobs and roles, HR operation, HR leadership Additional Background Agentic HR: Where Enterprise AI Is Going – Imperatives  Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR   Chapters (00:00:00) - HR 2030: The AI revolution(00:06:13) - Human Capital Management: Rules and Cultural Rubrics(00:17:59) - WSJD. HR 2030: The challenge

What does it look like when one of the world's most innovative tech companies decides to write the playbook for agentic HR — from the inside? Brandon Roberts, Global VP of People Product, Analytics and AI at ServiceNow, joins Kathi Enderes for a conversation that crackles with real-world urgency and hard-won insight. Under the bold leadership of CHRO Jacqui Canney – whose title as Chief People and AI Transformation Officer signals just how seriously ServiceNow is taking this moment – Brandon and his team have made a defining bet: empower every HR professional to experiment with AI, then ruthlessly prioritize based on value and feasibility. The results are already turning heads. When an HR Business Partner came forward with an idea, it didn't disappear into a committee. It became a live capability: HRBPs now work alongside a people data agent paired with Galileo, giving them real-time internal workforce data fused with external benchmarks, case studies, and research insights,  all available in the moment a business conversation demands an answer.  This is what it means to bring consulting-grade intelligence into the flow of work. But Brandon's story doesn't stop inside HR. ServiceNow is also asking its HR team to do something far bigger: help lead the entire company's AI transformation. That means building workforce AI capabilities and readiness at scale, redesigning jobs and work across the firm as AI reshapes what every role requires and writing the organizational playbook for AI adoption that others can follow.  It is a mandate that puts HR squarely at the center of enterprise strategy, moving from support function to transformation driver. Brandon's own career arc captures this shift. His role evolved from a focus on people analytics – historically centered on reporting and data analysis – into enabling the business to use insights about people and organizations to make better decisions and drive better outcomes, all powered by AI.  The people analytics function didn't shrink but grew in strategic weight and importance. This conversation is a must-listen for anyone trying to understand what agentic HR actually looks like in practice at one of the fastest-moving companies on the planet. Additional Information Podcast: Jacqui Canney, ServiceNow CHRO, Demystifies AI Transformation Article: The Great Reinvention of Human Resources Has Begun Research: The Superworker Organization: AI Goes Enterprise Get Galileo: The World's AI Superagent for HR Chapters (00:00:03) - What Works: Systems Thinking(00:00:41) - ServiceNow CEO on the Company's Transformation of HR Using AI(00:02:19) - WSJD Live: ServiceNow's AI-Powered HR Function(00:05:41) - Six Pillars of the AI Revolution at ServiceNow(00:08:48) - How Galileo is helping HR professionals be more strategic(00:11:14) - How ServiceNow Is Bringing AI to HR(00:14:44) - What specific skills do you need in your role around AI(00:15:51) - WSJD: The HR Organization of the Future(00:20:28) - WSJDLive: The AI and HR Transformation(00:22:44) - WSJD Live: AI and HR Transformation(00:24:24) - What Works in HR: Brandon Roberts & ServiceNow's Galileo

Today, as we read more stories about various layoffs (often using AI as an explanation), I'd like to suggest a big idea. AI Agents, defined as “Talent Redeployment Agents,” may be one of the most powerful new use-cases for AI in HR. No I'm not talking about AI randomly selecting people and zapping them by email based on financial results (that could happen I suppose), but something much bigger. Listen in as I explain how the “decoupling” of workers from their employers has led to a new era of dynamic employee redeployment, which is only possible with AI. We're deep into studying these Superagent use-cases in companies around the world so if this conversation gets you excited (I think it will), please get hold of us we'd like to explain more. Additional Information Should an AI Agent Be Able To Fire You? Yes, And It's Likely To Go Well. Gloat Enters The Crowded War For AI Agents in HR Why AI Is A Massive Job-Creation Technology, Despite What You Think Be Careful With The Layoffs Get Galileo, the AI Superagent for HR Chapters (00:00:00) - The Way Companies Are Layoff(00:09:18) - The AI Talent Mobility Agent

Today I want to give you a peek into the huge topic of “building AI literacy.” We work with hundreds of companies and vendors that offer many types of training so I wanted to give you an overview. This is a fast-changing topic because there's a raging debate about what “skills” AI users need (ie. complex thinking? business acumen?). I do know AI learns from language so if you can't put your needs or wishes into logical statements, you won't get the most out of AI. But, as I explain, there are a range of other issues as well. I also discuss how we teach people about bias, risk, auditability, data quality, tuning, and how “vibe coding” is a bit more complex than you think. If you're really stumped about how to use AI in your work, I urge you to get Galileo, our AI Agent specifically designed for HR, business leaders, and human capital consultants. It includes 400+ reusable workflows to get you started and an entire library of 700+ courses on various AI and HR topics. We have received a spectacular group of AI Pacesetter applications and many explain how a particular company built AI literacy in detail. Come to Irresistible 2026 (June 8-10 in LA) to get the details. (Check out the US Department of Labor's AI-Ready Initiative too.) Chapters (00:00:00) - Advocacy of AI literacy(00:01:26) - Six Rules of AI Training(00:08:53) - Pacesetter: Trust, Security, and Legal Risk

This week I share my conversation with Ashutosh Garg, founder of pioneering unicorn Eightfold. Eightfold was the first mainstream AI company focused on HR and recruiting, and as you'll hear Ashu continues to innovate in many ways. I ask Ashutosh to talk about the market, the change in the AI landscape, and his vision for the future of Eightfold and job seeking. He also explains his career and how he became so successful, and where his career has taken him with his digital twin company Viven.ai. (We use Viven and can attest to its enormous potential.) This convo should teach you a lot about the AI market and also give you career insights into one of the many entrepreneurs shaping our future. We have worked closely with Eightfold for many years and I find Ashutosh's career inspiring and filled with lessons for all of us. Additional Information Eightfold Reaches Billion Dollar Valuation (2020) The Eleven 2026 Imperatives for Enterprise AI Why AI Is A Massive Job-Creation Technology, Despite What You Think Get Galileo, the AI Superagent for HR, Consultants, and Leaders Chapters (00:00:00) - Interviewing Ashutosh Garg on AI(00:00:35) - In the Elevator With Eightfold(00:08:17) - Is AI Involving the Interviewing Process Possible?(00:14:20) - Does AI Bias Affect Job Interviews?(00:16:37) - What should high-tech and research people know about entrepreneurship and business(00:18:11) - What is the Digital Twin?(00:22:24) - A Week in the Life of AI

Four big topics in this podcast. First I give you more detail on jobs and careers in the AI age, and explain why MORE jobs than ever are being created. (Read the details here.) Then I discuss the huge disruption about to take place in the software integration and middleware market. (A multi-billion dollar space for vendors and consulting firms.) Third I discuss the pioneering work by Findem and how human data labeling (and automated labeling) is the next frontier in search, recruiting, and talent intelligence. Finally I talk about my sincere and humble “thank you” to all of you that follow us and how we built Galileo to scale our work. (Join us at Irresistible 2026 to see the top 15 AI Pacesetters in HR.) Additional Information Why AI Is A Massive Job Creation Technology Workday and Sana Unveil A Bold New Strategy For AI Agents, Superagents, and Intelligent Orchestration: 2026 Imperatives for Enterprise AI The L&D Revolution Has Arrived: AI Enables Dynamic Enablement For All Get Galileo, the AI Superagent for HR   Chapters (00:00:00) - Jobs and the job market(00:02:48) - Will the Self-Driving Car Change Your Career?(00:04:25) - The Future of Interconnections in HR Software(00:08:22) - How AI is Affecting Recruitment(00:17:46) - A message for the AI Technology community

Today I move beyond a discussion of AI products and technologies to the real business problem: finding ways to USE AI to further your company's particular, unique business strategy. There's a strange phenomenon going on: companies think AI itself will improve productivity “just because it exists.” Well nothing could be further from the truth. As these three examples point out, you should focus on “HOW” you're going to use AI to forward the strategy, not build a strategy around AI. As these tools become more common this will be clearer and clearer. And the AI vendors (particularly the big ones) are making us crazy with stories of AI “strategies” that feel generic and unachievable. I hope this helps you feel grounded and ready to focus in this crazy world of new tools, platforms, and vendors. I also want to invite you to the Transform conference in Vegas where we'll be talking about a new partnership we're starting with Leena.ai, a vendor that delivers a new generation of employee services by connecting tools like Galileo to more than 100 different applications and internal systems. Additional Information What Is AI Orchestration And Why Is It So Important? Workday and Sana Unveil A Bold New Strategy For AI Agents and Superagents: 2026 Imperatives for Enterprise AI The L&D Revolution Has Arrived: AI Enables Dynamic Enablement For All Get Galileo, the AI Superagent for HR (experience Sana for yourself) Chapters (00:00:00) - Employee AI: Business Cases(00:01:22) - The Skills Taxonomy for Large Services Companies(00:07:02) - Six steps towards an AI-driven bank(00:10:23) - The 3 challenges of L&D training

Today we are introducing the Mars release of Galileo®, the AI Superagent for HR. We're calling it a Superagent because it's now fully programmable, open to integration with Workday and other systems, and is even more intelligent with new models, new content, industry data, and exciting features for learning, content development, and orchestration. I explain what all this means in the podcast, so listen in. Galileo is now used by more than 1,100 companies so it's becoming the industry standard AI agent for HR, with lots of fans, new solutions, and features. And as a Superagent, Galileo can now coordinate user's needs across many back-end systems, through Sana's integration with Workday as well as Galileo for ServiceNow, which talks with 60+ corporate apps. The Galileo Suite includes Galileo Agent and Galileo Learn, and includes Galileo for Managers. Read about it in our press release here. Exciting launch video here. Get Galileo here!. Additional Information Workday and Sana Unveil A Bold New Strategy For AI Agents, Superagents, and Intelligent Orchestration: 2026 Imperatives for Enterprise AI The L&D Revolution Has Arrived: AI Enables Dynamic Enablement For All Get Ready For A Wild Time In HR Technology (where HR Tech is going)   Chapters (00:00:00) - NASA's Galileo Release 4.7(00:06:10) - ServiceNow: Connecting with Galileo and Workday(00:10:00) - The next area of AI HR: Agents and Super Agents

Today Workday unveiled its “Front Door to Work” strategy and products with Sana. Here is a brief overview and more to read below. Additional Information Workday and Sana Unveil A Bold Strategy for AI (detailed article) Video Overview of Workday-Sana Announcements The New, Wild, Redefined World of HR Tech (advanced AI use-cases) Experience Sana Yourself: Galileo, the AI Agent for HR       Chapters (00:00:02) - SANA Announcement with Workday(00:04:12) - Workday Adding SANA to its Productivity Platform

HR Technology is on a collision course with AI companies, desktop productivity tools, and middleware providers. Where is all this going? In this podcast I explain why this is a question of “back-end” vs. “front-end” and how the ERP software architectures of the past (present) are colliding with the AI tools and interfaces of the future. The bottom line is not “who wins” but rather how well do you think through the use-cases and employee experiences you want to provide? Read this article for more details and stay tuned for a bunch of announcements this week that will bring much of this to your company. Additional Information Get Ready For A Wild Time In HR Technology The World of Corporate Training Lurches Toward Enablement Digital Twins Are Here, And They Make You More Productive Get Galileo. We put ALL our research, case studies, and models in there. It's like the Bloomberg Terminal, Encyclopedia Britannica, and HR Expert with new research, vendors, and case studies every day.         Chapters (00:00:00) - HR Technology: The Future of IT(00:11:00) - The Future of HR IT Is AI

This week I discuss the AI, HR Tech, and consumer AI market in front of announcements next week at the Unleash Conference in Vegas. I discuss how HR Tech is now becoming “Life Tech” (not just Work Tech) and the dynamics of big players like Microsoft, Oracle, Workday, SAP, ServiceNow, Anthropic, OpenAI, Google, and smaller vendors like Cornerstone, Findem, Lightcast, Maki People, Eightfold, WorkHuman and others who are vying for attention with their AI offerings. Next week I'll detail many of these announcements in my keynote and I hope to see many of you in Vegas at Unleash and the following week at Transform. So much to absorb and understand: we are here to help you sort it all out. Additional Information Layoffs at Atlassian, Block, Amazon are Misleading. AI Alone Is Not The Story. The World of Corporate Training Lurches Toward Enablement Oracle's Earnings Prove That AI Infrastructure Is Eating Enterprise Software Enterprise AI Architecture: Imperatives for 2026 Webinar: Watch a replay of Josh's walkthrough of the 11 essential imperatives HR & business leaders need to know for success and progress in 2026. Galileo Learn: Complete The Superworker Organization: AI Goes Enterprise learning program, and discover the hands-on skills required to navigate the redefinition of work, HR teams, and organizations in the era of superworkers and superagents. Get Galileo: The Enterprise AI Agent for HR  Chapters (00:00:00) - All the HR Technology Announcements(00:07:29) - Oracle's strategy for growth(00:10:37) - Microsoft's Copilot, and More

Oracle's earnings announcement yesterday demonstrates the company's shift to a new type of enterprise “software” company, challenging companies like SAP, Workday, Salesforce, and many others. In this podcast I explain this shift, the history of Oracle, and where AI is taking the enterprise software market. Here is the source article to read, and I look forward to further discussions on this topic with our clients and vendor partners. Reference Information Oracle's Earnings Prove That AI Infrastructure Is Eating Enterprise Software Nvidia Explains The New Software Stack (5-Layer Cake) Oracle Earnings Announcement   Chapters (00:00:00) - Analysts on Oracle's Earnings(00:01:35) - Oracle's Rise to the Cloud(00:08:43) - Oracle's Future in the AI World

Today I'm publishing a bonus episode with a discussion of the US Job Market and also explain why Anthropic's new AI-Job destruction research is misleading. I also discuss the whole idea of “job-task analysis” and why “AI exposure” (Anthropic's methodology) doesn't really reflect how AI transforms jobs, companies, and the economy. Let's discuss all this at Irresistible 2026 or read my substack article on this topic and we can discuss there. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information New Anthropic Report on Job Destruction Is Misleading (article) Anthropic Report (from Anthropic) US consumer confidence plunges to 12-year low (Financial Times) BLS Jobs Numbers Join us in Irresistible 2026, June 8-10 at USC, the world's leading conference for HR Leaders and Teams. (Here's the top 10 reasons to come!)     Chapters (00:00:00) - President Trump on the American Economy(00:04:54) - On the Job Losses Due to AI(00:13:02) - Robots and Repair People(00:22:40) - Steve Jobs: Jobs to Change(00:24:05) - The Super Worker and the Future of Healthcare Jobs

This week I tackle the situation where AI tools are exploding everywhere while ROI and economic productivity is hard to find. I also discuss the “commoditization” of AI “features” and the shift in value to “AI applications,” which is good for all corporate buyers and users. You'll understand how important it is to build a long term strategy, despite all the experiments going on (contact us to see our HR Blueprint). I also discuss the Galileo Everywhere strategy and how we've been expanding Galileo to support employees and leaders, not just HR. Remember to come to Irresistible 2026, the world's leading conference for HR Leaders and Teams. (Here's the top 10 reasons to come!) Additional Information Enterprise AI Architecture: Imperatives for 2026 New Research: How AI Transforms $400 Billion Of Corporate Learning Webinar recording: Watch a replay of Josh's walkthrough of the 11 essential imperatives HR & business leaders need to know for success and progress in 2026. Josh Bersin Podcast: Listen in as Josh provides much-needed guidance for understanding the biggest HR transformation in decades. Galileo Learn program: Complete The Superworker Organization: AI Goes Enterprise learning program, and discover the hands-on skills required to navigate the redefinition of work, HR teams, and organizations in the era of superworkers and superagents. Get Galileo: The Enterprise AI Agent for HR and Leadership (check out Galileo for Consultants!) Chapters (00:00:00) - HR & AI: The Vendor Market(00:03:54) - A message about Galileo and the HR Conference(00:06:10) - The Return on Investment of AI(00:17:47) - Where's the Return on Investment in Tech?

Understanding the Frontline Workforce. As our research point out, more than 70% of all US workers (80% Worldwide) work in a frontline (customer facing or operational facing) role. We all have teams in these positions so it's important for business and HR leaders to understand this space. This is the first podcast in a series with Josh Secrest, the head of marketing at Paradox, an innovative AI company that pioneered conversational recruiting from end to end. Not only does Josh S. know a lot about the frontline, he has leadership roles at the National Restaurant Association and National Retail Federation, and also has experience leading talent management at McDonald's and leading culture at Abercrombie. Josh and I will be sharing a series of conversations to help you understand best-practices in high-volume recruiting, frontline workforce management, and the economics and financial business case for automation in this space. This episode features a deep discussion on the critical role of frontline workers in the workforce, exploring how technology, management, and strategic support can transform frontline work environments. It highlights innovative practices and future trends in supporting frontline employees across retail, hospitality, and healthcare sectors. Keywords frontline workers, workforce strategy, HR technology, AI in HR, employee retention, frontline management, retail, hospitality, workforce support, digital transformation Key topics Importance of frontline workers Impact of technology and AI on frontline support Role of frontline managers in business success Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive (research) Josh Bersin Company Highlights Cost of Neglecting Frontline Workers (research) An Exploration into the Frontline Workforce with Josh Bersin (video) Tailor your HR and Management Programs for Frontline Work with Galileo, the Expert AI Agent for HR Chapters (00:00:03) - Josh Seacrest(00:01:16) - Workers on the Frontline(00:02:26) - The Power of a Front-Line Manager(00:03:39) - The Impact of Frontline on Business(00:05:37) - The Role of Frontline Workers(00:11:59) - McDonald's On AI & The Future of Workforce(00:14:46) - Backline Manager: The Future of Data-driven Business(00:16:52) - Employee Care in the Future(00:19:38) - Give Your Employees More Money(00:21:23) - Fast Food On The Podcast(00:22:30) - The New Talent: 711 and More(00:25:48) - Josh on the Business of Segmentation

This week I discuss the real possibility that AI Agents could “turn evil” citing the example of Scott Shambaugh, a software engineer, who was attacked by an OpenClaw agent called MJ Rathbun. Just so you understand: Scott is a real person but MJ Rathbun is an AI. Yet MJ took upon itself to openly attack Scott online, presumably for not accepting his open source code. It's a fascinating (ongoing) story, but it begs a bigger question: when a “human” (or agent) has total authority and power, does it then become evil? We saw this in the famous Stanford Prisoner Experiment, at Abu Ghraib, and in other examples I cite. Does this strange human nature translate directly into AI? As you'll hear, these new findings deliver many lessons for our corporate AI systems, and I explain how the issues of AI training, governance, and ethics become real. And this brings up the issue of AI regulation, legal accountability, and who is responsible for these behaviors. Much of this is being played out in real time in the US War Department vs. Anthropic happening in the press as well. Despite my most optimistic opinions about AI, “Power Corrupts” may be a statement that applies to AI just as it does to humans. As AI becomes more embedded in enterprise decision-making, thoughtful governance, ethical design, and continuous monitoring become urgent. Additional Resources An AI Agent Published A Hit Piece on Me The Rise of the Bratty Machines (NYT) When AI Bots Start Bullying Humans, Even Silicon Valley Gets Rattled (WSJ) BBC Finds That 45% of AI Queries Produce Erroneous Answers Anthropic CEO says he's sticking to AI “red lines” despite clash with Pentagon OpenAI Steps Into The Breach in US War Department   Chapters (00:00:00) - Could AI Agents Become Evil?(00:11:11) - AI for Insurance Companies

Today I discuss the new economics of AI for us as business and HR leaders, and how this impacts vendors, HR buyers, IT, and investors. I also discuss how Agents, which are the new building blocks for our re-engineered companies, are now the nucleus of your world in HR going forward. As I explain, this new world is clearly coming into focus but you need to prioritize your energies, and our Systemic HR AI Blueprint (explained) is here to help. Stay tuned for a barrage of announcements about Galileo, which now has more than 1,100 enterprise customers. And please join our Pacesetters program so you can share your own company's innovations and get recognition for all your company's creation! Also look at Galileo for Consultants, a new release of Galileo specifically designed for HR, organizational, leadership, and change consultants!  Galileo for Consultants includes a whole array of tools to help you with your career, business, and client projects. Galileo for Consultants (internal consultants too) will be invited to a special monthly webinar to talk about consulting projects, opportunities, and your consulting career. Additional Information Understanding NVIDIA's Growth and Culture Will Workday Thrive (or Survive) In The World of AI? (video) Galileo for Consultants: Super-Powering Your Consulting Business The World Is Accelerating: What Has Changed About Leadership? Chapters (00:00:00) - AI HR Blueprint and Irresistible(00:00:25) - Galileo for Consultants: An Update(00:02:52) - Nvidia's $120 Billion Profit(00:08:28) - AI and HR Agents: Future of the HR Agent(00:14:18) - The AI Agent Blueprint(00:16:36) - AI Professional Development Conference Update

Coming out of the pandemic almost every company started hiring globally, giving rise to the EOR (Employer of Record) market. An EOR enables companies of any size to easily hire, manage, pay, and reward employees in any country, and today more than 40% of all global employers use an EOR. One of the leaders in this market is Oyster, a fast-growing company founded as a B-Corp, dedicated with a mission to make global employment a single, seamless marketplace. The founder of Oyster, Tony Jamous, is a fascinating entrepreneur who has a unique way of describing global employment. In this podcast I interviewed Tony so he can explain some of the strategic issues in building a global company of any size. I think you'll find Oyster a high value solution provider that combines world-class technology with a strong culture of global advice, support, and regulatory compliance to help companies grow. (FYI we are partners with Oyster in Galileo: Oyster's extensive global employment practices database is embedded in Galileo to assist you with many strategic HR policies around the world.) Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information 2026 Imperatives for Enterprise AI: The Road Ahead The Definitive Guide to Corporate Learning Oyster Announces Intelligent Global Employment – Redefining EOR Market Get Galileo, The AI Agent for Everything HR Chapters (00:00:00) - Interview with Tony Jamis(00:00:25) - Oyster's mission to reduce wealth inequality(00:05:52) - Will Our Platform Become a Strategic Workforce Partner?(00:10:15) - The Human Capital Challenge(00:13:24) - Have We Thrived as a Global Company?(00:16:09) - WSJD Live: Should HR Companies Integrate With HCM Prov(00:17:23) - What's the role of AI in the Workforce?(00:19:05) - Oyster HR: Going global with technology(00:20:51) - EOR Provider Takeaways

This week I explain some of the very cool things going on in AI-Fueled Recruiting (hot space), and also discuss how to start integrating all your talent acquisition tools. I also explain AMS One, the Workday Agent System of Record (ASOR), and why and how all these amazing AI agents are going to enable you to really rethink the operating model for talent acquisition. This is a trillion dollar space and we all deal with it, and it's also the area of HR where AI is the most mature. And as I explain, every innovation that takes place in talent acquisition has an impact on tools for internal HR, job mobility, career development, and even learning. In fact TA and L&D really are going to get locked at the hip going forward. We will be launching our massive new research study on TA at Irresistible 2026, our flagship HR leadership conference in the world. It's June 8-10 at the beautiful USC Campus in Los Angeles, and I promise you that you'll see some amazing things there (including a tour of one of USC's brand new research and arts centers). Also come see us at Unleash 2026 in Vegas where we'll be doing workshops for you on Galileo, highlighting the newest release – these hands-on workshops give you 90 minutes to see dozens of amazing AI use-cases and also teach you how to use Galileo as your copilot, teacher, and consultant in all areas of HR. (And listen to my keynote explaining the way AI has already started to change everything about HR.) Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information 2026 Imperatives for Enterprise AI: The Road Ahead The Great Reinvention of Human Resources Has Begun Secrets Of The High Performing CHRO Get Galileo, The AI Agent for Everything HR   Chapters (00:00:01) - Josh Burson on Talent Acquisition and AI(00:01:32) - Talent Acquisition: The $1 trillion spend area(00:13:13) - Adam Levine: The ASOR for Workday Agents(00:18:09) - Talent Acquisition: The New Model(00:20:42) - A Day in the Life of Galileo

Alim Dhanji is a seasoned business executive (ex-President of Adidas Canada) who came back to HR with a fresh perspective on the business value of HR. In this discussion Alim clearly articulates where and how he creates business value as a CHRO. This is a fascinating discussion about the value drivers of HR and AI and the process for redesigning work. He explains what he learned about the value of HR as a CEO, and how he then took that knowledge back into HR. Sample Quotes: “True change happens at the manager level, and there is a compression of demands at the people manager level. Our number one value diver is investment in the front-line people manager.” “Managers just don't have enough time in the day. Now by leveraging AI we can help managers create capacity to spend more time with teams and peers.” Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Secrets Of The High Performing CHRO CHRO Insights Research Report CHRO Insights Video (Youtube) Introducing Galileo for Managers, The Leadership Guru At Your Fingertips   Chapters (00:00:04) - What Works: The Career Path From HR to Business Unit(00:01:03) - What Works: Chief HR Officer Alim on the Business(00:03:58) - Have You Left HR?(00:05:27) - What's the role of the People Manager?(00:08:08) - The Role of Managers in AI(00:10:44) - CHRO: The Role of HR in the AI Transformation(00:13:16) - Immigration in HR: The Business Experience(00:15:49) - Having worked in different countries, how has your international experience helped you(00:18:14) - The Challenges of Becoming a Chro(00:19:36) - The Importance of Learning the Cross Functional Move(00:21:02) - What Works With Alim(00:21:22) - What Works: The Chro

After many weeks of work with corporate HR leaders, technology companies, and implementation teams I'm realizing the word that describes AI is “confusion.” Too much going on, too many unanswered questions, and no clarity about what to do. And many of you have been asked (or told) to lead the “AI Transformation” (which is the wrong phrase, as I explain) to reduce cost. Well I hope today's podcast gives you some clarity. Obviously the space is changing quickly, but there is a clear strategy emerging. I discuss the technology market, vendor strategies, and most important of all, how you as a business leader can leverage AI without going down dead ends. I hope this gives you clarity, and I urge you to read our 2026 Imperatives for Enterprise AI for more. Topics covered: Why AI adoption isn't a transformation — it's a continuous learning process How to design an architecture that avoids vendor chaos and data silos The real ROI of AI: rethinking workflows and job structures, not just automating tasks Strategies for navigating a confusing vendor landscape and building your own solutions How to build a culture of trust and change, and empower employees What to tell employees so they'll lean in to change The importance of speed, experimentation, and trusting the data over perfection. If you're in the middle of your AI strategy, please contact us. Our Systemic HR AI Blueprint will show you the way, and Galileo will help you with vendor analysis, process design, job redesign, and of course the training you need to enable your organization. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information 2026 Imperatives for Enterprise AI: The Road Ahead The Great Reinvention of Human Resources Has Begun Get Galileo, The AI Agent for Everything HR Chapters (00:00:00) - AI Confusion(00:05:19) - Self-Service HCM Software Companies(00:08:13) - Job architecture and the process of changing jobs(00:11:45) - Don't Wait for Perfection in AI Projects(00:14:43) - Will We Run Out of Jobs?(00:18:01) - Will AI Reduce Headcount?(00:19:39) - The Need for Trust in AI

This week we introduce our massive new research “The Definitive Guide to Corporate Learning: From Static Training To Dynamic Enablement.” As you'll read, this $400 Billion market is going to change in a huge way, and the opportunity for value is massive. As I explain in this podcast, it's time to change the paradigm of “skills development” and move to a model of dynamic enablement. Traditional L&D is not going away overnight, but the new world of AI-Native Learning is very different: faster, less expensive, and far more useful and relevant to employees. And best of all, we're turning training and upskilling into a process of dynamic, continuous change. Listen to this podcast to understand what's going on, and then read our research to build your own roadmap. If you're an HR leader, L&D professional, content creator, or technology vendor – this new world is exciting and ready. And I expect the traditional L&D market to double in size within ten years and reach well over a $Trillion as we finally solve the problem of global knowledge management. Important vendors here include Sana (Workday), Disperz, Cornerstone (new products coming), Arist, Uplimit and likely solutions from OpenAI and others. The traditional learning vendors (LinkedIn, Coursera, Pluralsight, Skillsoft, and others) are now just beginning to adapt to this new world, so it's a time for disruption and new business models. Join us on this journey. Get Galileo to experience AI-Native learning, learn more, read the research, and benchmark your own organization. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Definitive Guide to Corporate Learning 2026 Imperatives for Enterprise AI: The Road Ahead The Collapse And Rebirth Of Online Learning And Professional Development Get Galileo, The AI Agent for Everything HR Chapters (00:00:00) - The Need to Reinvent Corporate Learning(00:08:39) - Skills and their dynamic enablement(00:19:00) - AI: The Future of Learning & Workforce

AI Agents promise to revolutionize how we operate our companies, but this is much more than just recording meetings and summarizing emails. How do you build an Agent (and Superagent) architecture to re-engineer HR and what is the role of your core HCM platforms? Well this is the trillion dollar question challenging every business software provider, and it has a huge impact on your HR and overall AI strategy. In this podcast I explain this topic and describe how employee onboarding, as an example, could be entirely redesigned for speed, scale, and agility. This is a new world and for the first time in my career each of us, regardless of tech experience, will be able to redesign how our HR function works to move from “work productivity” to automation and tremendous new value creation strategies in HR. Note that this week OpenAI announced its Frontier platform to help build enterprise agents. Microsoft recently introduced Agent 365 to help build enterprise Superagents. ServiceNow offers its Enterprise AI Control Tower, and Workday has introduced the Workday Agent System of Record. The space of agent management platforms is just beginning. As you listen to this and ponder your situation I hope you consult Galileo for advice or call us. Our Systemic HR AI Blueprint is here to help you design and implement AI apps that will revolutionize HR and your business. Enterprise AI is an exciting new domain and we are here to help. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information 2026 Imperatives for Enterprise AI: The Road Ahead The Great Reinvention of Human Resources Has Begun Get Galileo, The AI Agent for Everything HR     Chapters (00:00:00) - Onboarding and AI: The Confusion in Corporate IT(00:06:42) - Agents and the role of the ERP(00:11:01) - The AI Agents: Will You Build Them?

AI-driven recruiting is on the hot seat and it's only getting hotter. Most job seekers now experience AI-interviewers, AI-based screening, and even chatbots that can automate the entire process. And as this market grows, two new lawsuits (one against Workday, one against Eightfold) have emerged, indicating the “fear” job seekers have about this technology. In the meantime, vendors are gobbling up these tools. This includes Workday's $1 billion acquisition of Paradox (and Hiredscore), SAP's acquisition of Smartrecruiters, Outmatch's acquisition of Pymetrics (renamed Harver), UKG's acquisition of Chattr (renamed Rapid Hire), Radancy's acquisition of myInterview, Hirevue's acquisition of Modern Hire, Cornerstone's acquisition of Skyhive (following acquisition of Clustree), Lightcast's acquisition of Rhetorik, and more. Where is all this going? As I discuss, this is an enormous ($840 billion) market and there's a lot yet to come. As I discuss, we are entering a whole new set of demands, demands for quality, explainability, skills verification, and bias-detection. One of the big new trends is what we call “vertical data labeling” to increase transparency and quality. (The pioneer here is a company called Findem.) So for you as a buyer or user, it's a time to focus on data and AI accuracy and completeness. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Great Reinvention of Human Resources Has Begun People Data For Sale: How The Talent Intelligence Market Really Works The Talent Acquisition Revolution: How AI is Transforming Recruiting Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations Get Galileo: The World's AI Agent For Everything HR   Chapters (00:00:00) - The Lawsuits About AI-Based Recruitment(00:03:14) - AI Based Recruitment(00:13:37) - Is LinkedIn a Good Data Source for AI?(00:14:21) - Will AI Be Better at Recruiting?(00:21:44) - Will Data-based Recruitment Be Legal?

David Hughes, the Global People Leader for Costa Coffee (now at HSBC), discusses the company's innovative approach to hiring using AI. Costa Coffee, a global brand with over 2,000 stores in the UK, faces significant hiring challenges due to high turnover rates and the need to hire thousands of baristas annually. David explains how Costa has shifted its focus from hiring the “best” talent to finding the “best fit” talent that aligns with the company's values and culture. Using Sapia's AI chat-based assessment, Costa has built a simple 5-question open chat survey that lets Costa identify the culture, behavioral, and work skills for best fit. This process not only scales to 350,000+ candidates, it also gives each candidate a personalized assessment and is rated 9 out of 10 on netpromoter score. In other words, candidates love it! David emphasizes the importance of patience and bravery in adopting AI, highlighting the positive impact on both recruitment efficiency and candidate satisfaction. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Talent Acquisition Revolution: How AI is Transforming Recruiting (research) The Great Reinvention of Human Resources Has Begun The Art, Science, And Magic Of Recruiting In The World of AI (podcast) Chapters (00:00:03) - How AI Is Affecting Costa Coffee's Hiring(00:01:16) - Interview(00:01:56) - Costa Coffee's Talent Challenges(00:04:10) - How to Hire the Right People for the Frontline(00:05:06) - Baristas: How to Get the Best Out of Your Job(00:06:53) - How Costa Coffee Is Using AI in the Job Search(00:12:24) - What was difficult about the AI journey at Costa Coffee?(00:16:22) - What are some of the metrics of the Costa Experience?(00:19:10) - The Sense of AI in the Job Search(00:20:32) - Congratulations on your AI push(00:21:39) - What Works With Costa Coffee's Talent Director

In this podcast I talk with Nathan Perrott, VP of Innovation at Radancy. Radancy is a major provider of integrated recruiting tools, all integrated in what's called the Radancy Talent Acquisition Cloud. You may not recognize the name, but Radancy is actually one of the pioneers in talent acquisition, originally started as TMP Worldwide. Over the last 40 years the company has been involved in all aspects of technology-enabled recruitment, (including Monster.com), so they understand job advertising, social media, candidate experience, branding, automated screening, and now AI-powered interviewing. The company's integrated platform is one of the most end-to-end recruitment systems in the market (handles everything except the ATS) and more than 700 large corporations rely on Radancy. Nathan has been in this space for many years so I ask him to explain how the market has changed, what their new AI copilot is all about, and how companies can save money and get ahead of the massive AI-fueled candidate and job posting market today. Additional Information The Great Reinvention of Human Resources Has Begun Yes, AI Is Really Impacting The Job Market. Here's What To Do. Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations The Collapse And Rebirth Of Online Learning And Professional Development Get Galileo: The World's AI Agent For Everything HR and Leadership Chapters (00:00:00) - An introduction to Talent Acquisition Software by Nathan Parrott(00:02:14) - Have we reached a saturation point in HR tech?(00:04:19) - Tim Ferriss: The Future of Talent Acquisition(00:11:27) - How AI is transforming Talent Agency (TA)(00:13:00) - The Super Agent(00:16:10) - Reasons for Sequel: The Future of Talent Acquisition(00:20:28) - HCM Integrations: What Have We Learned?(00:23:18) - WSJD Live: How to transform HR with AI(00:25:44) - How to Prioritize Hiring(00:26:43) - Podcast With Facebook's Nathan Silver

The HR profession is about to go through its biggest transformation in decades. To use a new phrase, this is a “rupture” from the past as we shift to new world of AI agents and superagents automating much of what we do. In this podcast I explain how 30-40% of AI jobs and roles will change, and how HR will become even more strategic as a result. And this is not a story of layoffs or cost reduction: rather we see AI helping to transform HR into a business function that accelerates scale, time to market, customer value, and both employee and customer experience. I also discuss why and how AI accuracy and trust is going to become enormously more important overnight as agents speed up and automate our human capital work. I'm very inspired by what's about to happen and I want you, as a business or HR professional, to understand and thrive in this new world. This is why we've loaded our AI Blueprint and all our analysis of HR roles and operations into Galileo, which serves as a consulting tool, learning tool, and problem solving agent. If you're inspired by this transformation agenda I hope you reach out to us so we can help you and your company build your own AI agenda for the years ahead. Additional Information Additional Information Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations The Collapse And Rebirth Of Online Learning And Professional Development Yes, AI Is Really Impacting The Job Market. Here's What To Do. Get Galileo: The World's AI Agent For Everything HR and Leadership Chapters (00:00:00) - The role of HR in companies(00:01:13) - Why 2026 Will Be the Birth of a New HR Profession(00:06:32) - The Future of HR Is AI-based(00:15:05) - Quality and Accuracy in AI-powered HR

This week we launch our Imperatives for 2026, and I discuss the 11 top issues you face and how HR, as we know it, is going to radically change. Our research shows that 30-40% of today's HR roles will go away, soon to be automated by AI agents and Superagents. Read today's news release for more details. This podcast explains the transformative impact of enterprise AI on human resources, emphasizing the redefinition of HR roles, the emergence of super agents, and the future of work. It highlights the need for organizations to adapt to these changes by focusing on employee engagement and the development of super workers, ultimately leading to enhanced productivity and organizational growth. Major Messages AI is redefining what HR does and how it operates. We are in the early stages of a technology revolution with AI. AI can analyze unstructured data, making HR more strategic. The concept of superagents will change HR technology. Many HR roles will evolve rather than disappear due to AI. Employee engagement is at a low despite advancements in health and longevity. Organizations must continuously care for and support their employees. The workforce is becoming more independent and less tied to a single employer. AI will create opportunities for super workers who leverage technology effectively. Companies must rethink talent management to retain top talent. Your Personal Transformation Each of these 11 topics represent a learning opportunity for business and HR professionals. We've built an entire AI-powered learning experience and Supertutor in Galileo to help. We encourage you to get Galileo to dig in and apply these topics to your job, your company, and your career. Additional Information Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations The Collapse And Rebirth Of Online Learning And Professional Development Yes, AI Is Really Impacting The Job Market. Here's What To Do. Get Galileo: The World's AI Agent For Everything HR and Leadership Chapters (00:00:00) - The 2026 Imperatives for Enterprise AI in Human Resources and Human(00:01:00) - The Future of AI Is Here(00:04:32) - The 'Super Agent'(00:05:41) - Will HR Jobs Go Away?(00:06:43) - The second part of the people equation(00:09:00) - The era of superworkers and super-Workers

This week, as part of our 2026 Imperatives launch, I discuss the explosive new world of agents and superagents, and explain why and how you, as an HR or business person, will be “building apps” and “building agents” at work. I also explain why the Superagent architecture, which is explained in our Imperatives research, is going to replace traditional monolithic HR and other applications at a speedy rate. Yes, we're all going to be “Citizen Developers” and we won't necessarily need Vibe Coding apps to do this. Galileo is an app-builder today and the upcoming Mars release is going to take it even further. This important topic is a big and very important shift in your thinking about how you run HR and also how you select, purchase, and implement HR technology of all kinds. Listen in, join in our webinar next week, and get Galileo to learn more and get started. Galileo will show you how to start building solutions today. All this information and much more is part of our 2026 Imperatives and will be embedded into Galileo, so get Galileo and ask Galileo to give you specific examples of how you can apply AI to HR in your particular company. This research includes 30+ prompts to help you understand enterprise AI in detail. Join me in my 2026 Imperatives webinar on January 21 for more details. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Is Oracle's Debt Level Getting Crazy? There's A Method To This Madness. Yes, AI Is Really Impacting The Job Market. Here's What To Do. The Collapse And Rebirth Of Online Learning And Professional Development Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations Chapters (00:00:00) - Claude Code and You as a Citizen Developer(00:05:24) - Building a self-contained AI-enabled HR Software(00:11:41) - Machine Learning and the Software Industry

As AI transforms our jobs, careers, and lives what happens to our sense of self? If an AI agent can do my job, what happens to me? In this podcast I discuss the topic of purpose, identity, and mission and how we, as human agents, can keep ourselves happy and purposeful as more and more of our work becomes automated. Yes, these tools are amazing to see and use, but what happens when the career we spent decades building no longer really exists? Reinventing yourself is scary but we all have to do it. In this podcast I discuss how profound this change is becoming and what you, as a leader or HR professional, can do to help. All this information and much more is part of our 2026 Imperatives and will be embedded into Galileo, so get Galileo and ask Galileo to give you specific examples of how companies build purpose and identity all around the world. Join me in my 2026 Imperatives webinar on January 21 for more details. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Reading (recommended) Irresistible: The Seven Secrets of the World's Most Enduring, Employee-Focused Organizations Awe: The New Science of Everyday Wonder and How It Can Transform Your Life The Healthy Organization: Next Big Thing In Employee Wellbeing       Chapters (00:00:00) - Purpose and Identity in the AI Era(00:09:42) - How Will AI Impact Your Career?(00:12:02) - The Need for Purpose in the Year Ahead(00:14:10) - Intelligence: The Imperatives Research

We are entering the year of Enterprise AI, and one of the imperatives we're introducing is the need to think about your AI Architecture. While much of our AI journey has been focused on individual productivity tools, now we have a much bigger opportunity: using AI to rethink how our HR, talent, leadership, and human capital processes are designed. As you'll hear our new Systemic HR® AI Blueprint defines a new set of “Superagents” that help us think through the new workflow automations we can deploy. In this podcast I explain the new AI architecture for HR at a high level and give you a sense of the explosive vendor market, the role of “citizen developers,” and the business case and process for prioritizing where to focus. All this information and much more is part of our 2026 Imperatives launch and will be embedded into Galileo, so get Galileo and ask Galileo to apply these architectural issues to your HR department. Not only do we have massive opportunities to build a more integrated HR department, these new AI architectures enable our companies to scale, grow, and add customer value faster and more profitably than ever. Join me in my 2026 Imperatives webinar on January 21 for more details. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Yes, AI Is Really Impacting The Job Market. Here's What To Do. Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations The Collapse And Rebirth Of Online Learning And Professional Development Get Galileo: The World's AI Agent For Everything HR and Leadership Chapters (00:00:00) - Machine Learning in HR: The Future of AI(00:11:51) - AI HR: The New Business Model

Welcome to our new research on the Frontline Workforce. In this introductory podcast I explain the importance and complexities of these jobs, and why the people in these roles take on enormous responsibilities in our companies and our economy. More than 70% of US workers are employed in frontline roles, generating more than $6 Trillion in wages and value. While many business and HR leaders support the frontline, our research points out that the issues are far more complex than you may realize. In this podcast I detail some of these important management topics and I also describe how the HR Technology market has struggled to meet their needs. Then I discuss UKG, the (Ultimate Kronos Group), the $5 Billion software company dedicated to this space and give you some insights on their pioneering and unique solutions. No matter what you do as a leader, HR professional, or manager, you likely know how critical our frontline workforce has become. Today frontline jobs in healthcare, transportation, construction, energy, airlines, and entertainment are the fastest growing segment of the workforce and also the roles least impacted negatively by AI. In fact AI is going to make these jobs even better. I hope you enjoy the discussion: stay tuned for a detailed article describing some of the frontline-work innovations recently announced by UKG and more on our research roadmap. If you would like to share your innovative solutions for frontline work, please contact us. Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive (Research) The UKG Product Strategy An Exploration into the Frontline Workforce with Josh Bersin (YouTube Video with Josh Secrest of Paradox) The Age of The Superworker: Four Stages of AI Explainer Video Chapters (00:00:00) - Workforce Management in Ukg(00:11:18) - Kronos' Dynamic Labor Market System(00:13:16) - UKG's 'Unified Work Experience' for Workers(00:14:38) - UKG's Frontline Worker Network(00:17:58) - UKG's AI Architecture and Industry Solutions

AI adoption is accelerating and it feels harder and harder to keep up. I know many senior leaders feel confused by the rapid pace and college grads are worried about their careers. What skills do we need to stay relevant in this new “All-AI” world? Well there's an answer to all this change, and it gets back to the five fundamental principles of your own professional learning. In this episode, I unpack the five fundamental things to “learn” as the AI world accelerates at a quickening pace. I do believe we're barely in the first inning of this bold new world, so it won't be your “skills” but rather your mindset, approach, and attitudes that keep you ahead and valued in the AI world ahead. Stay tuned for out big 2026 Imperatives launch on January 21 where we'll unpack the mandates for our companies and careers in the coming year. Additional Information Yes, AI Is Really Impacting The Job Market. Here's What To Do. The Collapse And Rebirth Of Online Learning And Professional Development Get Galileo: The AI Superagent To Keep HR and Leaders Ahead in 2026   Chapters (00:00:00) - How to Learn AI in the New World(00:10:22) - The fourth thing about learning and experience

Welcome to 2026, a year I coin “The Year of Enterprise AI.” As you'll read about (and hear about) in our 2026 Imperatives launch, the coming year is all about AI moving from “assistants” to “agents” to “solutions.” And there are three big considerations to ponder. First, the cost of AI is skyrocketing, so we're going to have to focus on high-value use-cases and business-specific solutions. That's not to say AI assistants and meeting summaries are not valuable, but once you start paying by the token you're going to want to go deeper. As we discuss in our new Systemic HR AI Framework, we're sitting on billions of dollars of real business opportunities now, and they go far beyond individual assistants. (We call these Superagents.) And the cost of AI will accelerate this focus. Second, the data center buildout, energy costs, and political issues with data centers will matter. For corporate users this means understanding the underlying “costs” of AI usage (creating a single high powered image uses as much as 25% of the battery in your phone). I point this out to make you aware that these AI chatbots are not “free” – there are acres of computing campuses being built behind the scenes. And that means your “software providers” are turning into capital intensive companies. (And a new industry of data center companies may take over.) (For those of you in the energy industry, it's a wild time – almost as exciting as I've seen since my early days as an energy engineer during the OPEC Arab Oil Embargo in the late 1970s.) Third is the fast-changing issue of AI's accuracy, trust, and voracious appetite for data. As I discuss, the real opportunity for corporate AI is to take this problem head-on, and focus on your company's data quality, governance, human feedback, and data labeling. The big AI labs are struggling to reduce the “Jaggedness” of AI (it's strange ability to be really good at some things and totally dumb about others), and that encourages us to focus on narrow, domain-specific AI applications. And we all need to learn about RLHF (reinforcement learning with human feedback). Our experience with Galileo proves that an AI solution that focuses on a vertical domain can be infinitely more reliable and intelligent than a general purpose AI. But don't let me argue with Sam Altman, you'll have to figure this out yourself :-). We are launching our 2026 Imperatives research the third week of January, and there will be a special release of Galileo to accompany all the study. Our goal is not to give you a bunch of pithy predictions, but rather to give you a dozen hard-hitting “Must Do's” for the year ahead. I look forward to talking with many of your this coming year as we travel around the world, join us in January for the launch of our 2026 Imperatives research. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Imperatives for 2026: What's Ahead for Enterprise AI, HR, Jobs, And Organizations Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI (NYT bestseller, high... Chapters (00:00:00) - Three Challenges to AI in 2026(00:01:06) - The Cost of AI Infrastructure(00:06:03) - Sustainability in the AI Era(00:12:57) - The Big Story for Human Resources in 2026

In this podcast I reflect on five big things we didn't talk about much this year, and each falling into the “Human Capital” agenda. We spent much of our year worrying about AI, agents, productivity, and jobs, largely putting the “Human Capital” agenda on the back burner. While AI is certainly the defining technology of our times, there are human capital issues to consider. As I discuss, these “soft” issues help us address the “socio-technological” impacts of AI. There's no question that AI is amazing and it will change our lives. As business people, however, we need to remind ourselves of the human capital issues that matter too. PS: The impact of AI on the job market is already taking a toll. Younger workers are now experiencing much higher unemployment rate than tenured workers, largely because companies believe AI can replace apprenticeships. I'm not a fan of this strategy but you can listen to this analysis to understand. Our big 2026 Imperatives report comes out in January, stay tuned. Additional Information The Dynamic Organization (the human capital strategies that matter during change) The Collapse And Rebirth Of Online Learning And Professional Development Human Centered Leadership (Galileo Learn program) The Healthy Organization (research)     Chapters (00:00:00) - The Business Agenda for 2025(00:09:57) - Human Capital Issues for 2021(00:13:57) - The Future of Jobs Is Uncertain