The Josh Bersin Company

This podcast is one I’ve been working on for months. Jane Hoskisson, Director of Talent, Learning, and Diversity for IATA (the world’s advocacy, support, and training provider for 300+ airlines). Jane is joined by Alina Aronberga, HR Aviation Leader (former SVP of HR for Air Baltic), who partnered with IATA and others in GAAST, The Global Aviation and Aerospace Skills Taskforce. (You will hear Jane and Alina discuss GAAST in the podcast.) Jane and Alina discuss many things, including the rapid growth in airlines, the critical need for talent, skills, and diversity, and their comprehensive Future of Work Aerospace Industry Skills Matrix. This industry skills model, which defines skills at four competency levels, details the industry-wide skills for the major job roles in an airline. It also describes the way these skills will change with AI. And this entire model, which integrates detailed product and operation plans from Boeing, Airbus, and many airlines and service providers, was developed with Galileo® As Jane explains in the discussion, Galileo was the thought partner, AI consultant, and analyst that directly helped IATA develop this model. This means that any airline, airline provider, or aerospace manufacturer, can get the model from IATA and GAAST, and use Galileo to understand how these new roles and skills impact their operations, product plans, services, and internal talent strategies. Galileo, loaded with this data, is now available for thousands of aviation HR professionals to help with recruiting, job design, pay and benefits analysis, and training. And there’s more. Through Jane and Alina’s relationships with airlines and other sources of business and economic data, the model describes how aviation talent needs vary by geography. Aviation skills in demand in the US, for example, are tilted toward space travel and aeronautics. In the middle east, where airlines are doubling in size in 4-5 years, the critical skills are in pilots, crew, and front-office staff. You can download the latest version of the skills matrix here, and there’s lots to learn by simply reading it. You can see how this authoritative, highly researched model can be used for training, hiring, succession, pay, and all the critical decisions airlines must face in this unprecedented period of growth. In addition to these resource and the podcast, Jane and Alina will be joining us at our annual conference Irresistible 2026, on June 8-10 at USC in Los Angeles. They will be talking about their work, showing more on how Galileo was used, and also join a panel with airline industry CHROs from around the world. If you work in the airline or aerospace industry, you should join us – this will be a key industry topic at the conference. For those of you who are in other industries, let me assure you that airlines have precisely the same talent, hiring, leadership, and training problems you have – but with a safety and regulatory-driven urgency not seen in any other industry. So these are complex, highly skilled HR teams and we can all learn a lot from their experiences and stories. I want to thank Jane, Alina, and all our airline clients and partners for supporting this work. We have much more to talk about in...

Everyone: one of the big existential changes in management and leadership is a whole new model for talent. Today, for the first time in human history, we’ve agreed to pay one person a $Trillion dollars for his skills (Elon Musk). And this trend is growing. Google paid $2.7 Billion to hire Noam Shazeer, the co-founder of Character AI. Mark Zuckerberg paid around $100 Million to hire Jiahui You, a top OpenAI researcher. And others, Lucas Beyer, Alexander Kolesnikov & Xiaohua Zhai, were rumored to receive $100 M signing bonuses to join Meta. What’s going on? What happened to our belief in the “bell curve” of performance, forced rankings, salary bands, and all the traditional ideas of talent management? Well it’s time to throw that stuff out the window and think differently. As many researchers have pointed out, including Boris Groyberg from Harvard, these “hyperperformers” can deliver 100 to 1000 times higher outcomes than an “average” employee and their utility and value is very hard to reproduce. Groyberg’s studies show that hyper-performers in one company turn into middling performers in another. And this is borne out by our research, which shows that individuals who fit the culture and behaviors of a company well can absolutely deliver 10-fold higher performance than those who “grind the gears.” All this said, the traditional talent management model has not worked out well, and I want to encourage you to ditch it. Even the job market itself bears this out: some “10x engineers” make 5 times as much money as engineers sitting next to them, and the same is true for sales people, consultants, politicians, and athletes. (The top ten NBA players make 7X more pay than the “average” NBA player.) So why do we try to “commoditize” this into a bell-curve based talent system? Integrated Talent Management, as defined by HR, leads to over-hiring, layoffs, and all sorts of “performance commoditizing” effects. If you use the Talent Density philosophy, by contrast, you wind up with a smaller company which performs at a much higher level. Listen to this podcast and I’ll explain all that needs to be addressed. Suffice it to say that in a world of AI-powered Superworkers, it’s your talent system (as a whole) that’s going to drive extraordinary growth and competitive advantage, not fitting people into the bell curve. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Myth Of The Bell Curve: Look For The Hyper-Performers How To Create Talent Density We Wasted Ten Years Talking About Performance Ratings. Seven Things We’ve Learned. Galileo: The World’s Trusted Agent for Everything HR   Chapters (00:00:00) - Initiated Talent Management: The Future of Talent(00:06:11) - Talent Management and the Layoff Cycle(00:08:53) - Talent density and the management process(00:17:03) - Bradley: Talent density and the culture(00:22:14) - Airline Industry

This week I discuss AI economics and explain the details behind the AI “Bubble” we read about. Where is all this money for data centers coming from and where is it going? What are the business and economic risks of all this hyper-investment? Which vendors are likely to survive? And what’s going to happen to price we pay for AI chatbots, compute resources, and apps? As you’ll hear, this is a big topic for the year ahead and you’ll understand why it’s time to sharpen your pencil as you plan and build you big AI solutions for the year ahead. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Here’s why concerns about an AI bubble are bigger than ever (NPR) Gen AI Is Going Mainstream: Here’s What’s Coming Next The Josh Bersin Company Partners with Microsoft on Copilot Tuning for HR Experts Galileo: The World’s Trusted Agent for Everything HR       Chapters (00:00:00) - AI and HR Economics(00:03:41) - Will AI Cost You Any Money?(00:12:41) - The Future of AI Vendor Layoffs(00:16:27) - Employee Experience: The Future of AI

In this podcast I discuss the evolution of AI in the enterprise and how we shift from a focus on individual productivity to a focus on multi-functional Superagents. In HR, where I focus, the idea of Superagents lets us rethink our HR practices from the ground up and vastly simplify the way our company works. And Superagents bring autonomy to business. Think about it this way in the world of autos. An “Assistant” is power steering or power brakes, helping the driver do their job. An “Agent” is like automatic lane control or collision detection, “taking over” the car under certain conditions. A self-driving car like Waymo or Zoox is a Superagent, shifting to the big goal: getting from point A to point B. In a self-driving car there’s no need for a steering wheel or even driver’s seat. Likely in a Superagent for recruitment the job of “recruiter” is vastly changed and in a Superagent for L&D an instructional designer may go away. Similarly a “digital twin” does not assist an expert, it literally recreates and expert, enabling that person to free up to do more. Listen to this carefully, it sets you up for some exciting new ideas in your corporate AI solutions in 2026. Additional Information The Road To AI-Driven Productivity: Four Stages of Transformation Digital Twins, Digital Employees, And Agents Everywhere Galileo , The Essential AI Assistant for Everything HR   Chapters (00:00:00) - The Future of AI in the Enterprise(00:03:38) - AI Agents: From Individual Assistance to Multiprocess Agents(00:06:19) - What Are the Super Agents of the Autonomous Car?(00:12:33) - HR's Product Oriented Organization(00:18:51) - Super Agents: The Future of Performance Assessment

This is exciting news: soon you will be able to embed Galileo® into your own version of the Microsoft Copilot with Copilot Fine Tuning and turn your company’s AI agent into an HR, management, and leadership guru. In this podcast I explain the new Microsoft Copilot Fine-Tuning feature, which lets you build your own customized Copilot, trained in management, leadership, and HR. I also explain the difference between the fine-tuning option and RAG (retrieval augmented generation), the way the Copilot and other agents access typical corporate documents and data. To my knowledge this unique feature is only available in the Microsoft Copilot, and the company is highlighting many unique use-cases. In the case of HR, management, pay, leadership, performance management, and other HR-related topics, the Galileo fine tuning turns the Copilot into a world-class HR consultant, advisor, and educator. Stay tuned for more information on this exciting product direction and click here to watch the demonstration released at Microsoft Ignite this week. If you would like to be one of our early customers for Galileo for Microsoft Copilot, please register here. More Information The Josh Bersin Company Partners with Microsoft on Copilot Tuning for HR Experts (article) Fine-Tuning vs. RAG Video Explanation Gen AI Is Going Mainstream: Here’s What’s Coming Next Galileo: The World’s Trusted Agent for Everything HR   Chapters (00:00:00) - Microsoft Copilot: Fine Tuning the AI Agent

I’m excited to publish my recent discussion with Jacqui Canney, CHRO of ServiceNow (previously CHRO of Walmart & WPP). Jacqui describes her career and her vital role as Chief People and AI Enablement Officer at one of the fastest growing enterprise software companies in the world, and also explains her mission to enable AI for more than 3 million of ServiceNow’s customers. Jacqui also describes how their HR team developed more than 1,000 HR use-cases and later refined these to 27 by building a rubric to evaluate AI opportunities. This is an inspirational conversation which will help you understand the role of the CHRO in AI transformation and the AI Playbook you can follow in your own company’s journey. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Pivotal Role Of Chief HR Officer in AI Transformations CHRO Insights: Understanding The Path to the CHRO How To Make AI Work For People: ServiceNow AI Playbook Introducing Galileo for Managers, The Leadership Guru At Your Fingertips Chapters (00:00:00) - ServiceNow's HR Event(00:00:16) - In the Elevator With Accenture's Leaders(00:05:17) - What's It Like Working With Bill McGovern?(00:07:26) - Bill Gates on the People Pact(00:08:57) - ServiceNow Chief AI Transformation Officer's Role(00:11:17) - ServiceNow's AI Enablement and Learning(00:15:37) - How to Upskill your People Operations Team with AI(00:17:54) - WSJDLive: The Future of HR with AI(00:21:38) - What We Need in HR: Super Agents(00:23:03) - Six Big Things Businesses Are Taking Advantage of AI(00:25:20) - What Advice Do HR Leaders Have For AI?(00:29:16) - What HR professionals need to do to stay ahead in the AI world(00:31:55) - A Year in the Life of ServiceNow

This week I tell you about how the new world of corporate learning has rapidly evolved, and how AI-native learning, digital twins, and coaching all come together. It feels like a tornado has begun and all these standalone technologies are colliding, giving you the most exciting new business and career opportunity for L&D in many decades. And for vendors and investors, I explain why I believe this is the trillion dollar opportunity of the decade. I hope you learn a lot from this podcast and get your hands on the Galileo Suite to get started. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information 2025 Market Trends Webcast Replay (with promo code for Galileo at end) The AI-Native Corporate Learning Revolution (research) Arriving Now….. The Digital Twin. Gen AI Is Going Mainstream: Here’s What’s Coming Next   Chapters (00:00:00) - Digital twins and the revolution in corporate learning(00:01:06) - Learning in the Age of AI(00:07:39) - The Digital Twin: The Learning Industry(00:13:19) - Rolls Royce: The Digital Learning Challenge

Hallie Condon, Chief People Officer at Chili Piper explores how the company uses AI to optimize employee experience in a fully remote, global environment. Hallie shares how Chili Piper empowers its workforce across 36 countries by intentionally building culture, leveraging automation, and fostering transparency through innovative decision-making processes. The conversation delves into the company’s unique approach to onboarding, offboarding, and continuous feedback, as well as their commitment to democratizing input and encouraging experimentation. Hallie also discusses Chili Piper’s focus on AI enablement, including launching an AI stipend and developing internal tools to streamline HR operations. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Culture Always Wins (Video) Gen AI Is Going Mainstream: Here’s What’s Coming Next The Big Reset Playbook: Organizational Culture & Performance Galileo: The World’s Trusted Agent for Everything HR     Chapters (00:00:04) - What Works: Cultivating a Remote Culture(00:00:49) - How It Works: Chili Piper's Remote Workforce(00:03:53) - Hibob and Automation: How Did That Implementation Go?(00:05:34) - HRS and HR Workflows Automated with HIBOP(00:09:16) - The Decision Memo Process(00:12:57) - Thrive: The Decision Memo(00:14:40) - Piper Jaffray on AI & HR Systems(00:19:42) - A Day in the Life: Best Practices(00:21:02) - What Works For Your Company?

After 60,000+ miles of travel and meeting with hundreds of companies, I’m here to share what I’ve learned. The simple message is that Gen AI has now gone mainstream, yet many companies are thinking about this in different ways. The current state is what we call “Stage 1 AI” focused on individual productivity, but more advanced AI solutions are coming. Here is my discussion of where we are and what’s coming next, and we look forward to sharing much more (and our AI Agent Blueprint) in the coming weeks. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Gen AI Is Going Mainstream: Here’s What’s Coming Next (and Wharton survey) AI and HR Trends for 2026: Webinar BBC Finds That 45% of AI Queries Produce Erroneous Answers AI: Not Always Right, But Seldom In Doubt (podcast) Galileo: The World’s Trusted Agent for Everything HR       Chapters (00:00:00) - A Year in the Life of HR and AI(00:00:32) - The AI adoption and maturity of business(00:07:47) - The Need for Multifunctional AI(00:12:27) - Can we Build an AI-based HR System?(00:14:16) - The role of the builder in the multifunctional world(00:15:35) - Fear of AI in the Workforce(00:17:54) - Will Your Jobs Be Eliminated?(00:23:24) - On Job displacement and the future of AI(00:24:55) - The Super Manager Webinar

AI vendors are building infrastructure, companies are shedding jobs, and we’re starting to witness the most rapid business transformation in centuries. In this podcast I look back on 2025 and show you where we are – with AI transformations, the job market, and the massive organizational changes in business. And I explain the Rise of the Superworker an its impact on you. New research by Wharton shows that AI optimism and adoption is increasing dramatically. For more details, join me next week for the webcast “2025 Market Trends: AI, HR, and What’s Next for 2026.” This presentation summarizes our 2025 “Year of AI Emergence” and set the stage for our big 2026 Predictions which launches in January. Are you ready for the new job market and how your HR department will change? Here are the trends and what you can expect for the year ahead. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Rise Of The Supermanager The Pivotal Role Of Chief HR Officer in AI Transformation Wharton Survey: AI Adoption and Optimism Is High BBC Finds That 45% of AI Queries Produce Erroneous Answers Galileo: The World’s Trusted AI Agent for Everything HR Chapters (00:00:00) - The Future of AI and the Workforce(00:06:56) - Will the AI Increase Productivity?(00:09:33) - The transformation of work and the role of AI(00:10:57) - The future of the super-manager(00:13:47) - Top 10 issues for CFOs in 2021(00:16:41) - What's the future of HR?(00:18:37) - How Do I Transform HR around AI?(00:20:47) - The Skills of HR professionals in 2026

Hari Srinivasan, VP of Product at LinkedIn, has been building world-class recruiting products for 11 years. In this podcast Hari gives us the details behind the LinkedIn Hiring Assistant, one of the leading AI-powered talent acquisition products in the market. Not only is Hari an amazing product leader, he also has enormous expertise in the entire talent acquisition process. He explains how LinkedIn thinks about recruiting in general and the company’s bigger view of this massive market. Every time I talk with Hari I am amazed at the expertise and focus LinkedIn brings to the world of HR. Additional Information LinkedIn Enters AI Agent Race With LinkedIn Hiring Assistant Digital Twins, Digital Employees, And Agents Everywhere Talent Acquisition at a Crossroads: Certificate Program In Galileo Learn Introducing Galileo, Your Personal AI Assistant for HR Chapters (00:00:00) - LinkedIn's CEO on the World(00:00:11) - In the Elevator With LinkedIn's Hiring Assistant(00:01:23) - Hiring Assistant(00:03:48) - LinkedIn Hiring Assistant: An AI Assistant(00:08:30) - Microsoft Dynamics: Internal Mobility Filter and External Mobility(00:09:37) - Is Your Interviewing More AI-Friendly?(00:11:40) - Is LinkedIn an ATS fit for hiring?(00:13:40) - How Talent Acquisition is Being Disrupted(00:17:10) - The Future of Skills-based Hiring(00:19:41) - Hiring Assistant: Future of AI Jobs(00:21:13) - Skills Taxonomy: How do I navigate an organization by title(00:23:51) - AI on Recruitment: More Resumes Than Ever(00:26:06) - What Makes LinkedIn So Successful?(00:28:35) - Is AI Going to Replace Recruiters?(00:33:03) - Employees Say They're Lucky to Work at LinkedIn(00:33:25) - Questions for the

This week I discuss the latest BBC study on AI answer quality from public data sources. As I discuss, the BBC and EBU found that 45% of news queries produce erroneous answers, so the reality has set in: public domain AI engines are neither “superintelligent” nor are they perfect. Yet they are very self-confident. So we, as users, need to be careful. As you’ll hear, there are three things to consider here, and you can read more about this in my latest article on the topic. For those of us in corporate roles, the message is clear: data quality must be our #1 priority, and this is a whole new domain for HR and other service functions. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information BBC Research Findings Interpretation of the Findings and the “polluted corpus” problem Claude’s admission of the “polluted corpus” problem AI Thinking Skills You Need To Stay Safe (podcast) Galileo: The World’s Trusted Agent for Everything HR Chapters (00:00:00) - The Lack of Trust in AI Agents(00:12:18) - Human Decision-Making in an AI World(00:16:09) - Third area of business re-engineering AI systems(00:20:19) - Crucial Data Source: Galileo for HR Data

In this podcast I discuss the risky business models AI labs are considering for their products and why accuracy, trust, and information quality is so so important (and difficult to ascertain). And that leads to a question we’re all asking: what are the real skills you need to flourish from AI and how does AI possibly change our mode of thinking? After all, they’re enormously “self-confident” about the answers they generate. New News: A research study by the BBC just found that 45% of all inquiries of AI agents produce incorrect results. This podcast explains why. My hypothesis, as I explain and discuss with clients, is that you’re going to have to become a “debater” to use AI really well, and that’s good for all of us. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Is AI About To Bite Us? Debunking The Three Fears About AI (podcast) What Happened To Our Sense Of Trust? (podcast) The Rise of the Supermanager: People Management in the Age of AI (research) Galileo: The World’s AI Assistant for Leaders at all Levels   Chapters (00:00:00) - OpenAI's Problems With Monetizing AI(00:05:48) - A Voice for AI in HR?(00:08:04) - The Complex Thinking Skills of Using AI(00:14:27) - One more thing about AI in HR

This week I met with dozens of HR leaders in Europe and there were many discussions about the risks of AI. AI is going to take all our jobs away. AI is going to get out of control and ruin our lives. AI is going to become smarter than humans and overtake us. AI is going to make us all more stupid because we won’t have to think. In this podcast I debunk these fears and try to explain what you can do to calm your fears. Yes AI is new and somewhat unpredictable, but if we treat it well (as a society, as users, and as builders) none of these fears will come to bite us. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Wakeup Call for HR: Employees Trust AI More Than They Trust You What Happened To Our Sense Of Trust? (podcast) The Rise of the Supermanager: People Management in the Age of AI (research) Galileo for Managers: The World’s AI Assistant for Leaders at all Levels   Chapters (00:00:00) - What If AI Turns Around and Bites Us?(00:00:57) - ChatGPT and the Problem of Mistakes(00:02:49) - Will AI Destroy All Our Jobs?(00:07:27) - Is Rampant AI Destroying the World?(00:10:54) - Privacy and the security of our systems

In this week’s podcast I describe the new role of manager in the age of AI. No, managers are not going away and managers are not going to be managing agents as people. Rather a new Supermanager role has emerged: the leader who can drive transformation, lead AI innovation, and learn the details of AI to create change. AI transformation is very much a people problem: redesigning jobs, roles, skills, and activities. Supermanagers are the fuel and the glue that make AI transformation happen. Listen to my discussion and you’ll understand why, what, and how to create Supermanagers in your business. Additional Information The Rise of the Supermanager: People Management in the Age of AI (research) Galileo for Managers: The World’s AI Agent for Leaders at all Levels Introducing Galileo for Managers, The Leadership Guru At Your Fingertips (article) Chapters (00:00:00) - The Rise of the Super Manager(00:01:49) - The second use of AI is corporate wide applications(00:03:47) - The third use case for AI in the workplace(00:13:24) - The Super Manager(00:18:26) - A Taste of the Conference

This week I discuss this ongoing trend of layoff announcements, typically coupled to “AI.” And as you’ll hear, this is quite a complex topic which gets into company culture, labor relations, and ultimately long term business strategy. A new article in The Economist claims that “Europe Crushes Innovation” because of its old-fashioned labor rules. The point they make, which I discuss, is that forcing companies to “hold on” to workers stunts growth and innovation. While I can’t argue with the data, I believe it’s not that simple. So listen to this podcast and see if our “Dynamic Organization” model makes more sense. You can explore all the dynamics in this podcast by getting Galileo®, the world’s AI assistant for HR and Leadership. Galileo can assess your company in this area of maturity and give you essential action-items to help with your own team or company’s AI transformation. (Prompt: “my company is xyz, we’re in industry abc, our business issues are xxx, would you benchmark me against the dynamic organization research and help me identify the leadership, management, and HR practices I need to accelerate my AI transformation?”) Anyway listen in, I’d love your comments. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Definitive Guide to Building a Dynamic Organization How Europe Crushes Innovation (Economist) How Japan’s Culture Of Business Teaches Us About AI Transformation Be Careful With The Layoffs What Is the One Trait That Makes for a Great Manager? You Might Be Surprised (WSJ) Chapters (00:00:00) - Patricia Frost on Seagate CEO(00:00:21) - The Need for Corporate Layoffs(00:03:33) - Why Europe Will Lay Off More People Than the US(00:10:04) - Reasons Why You Shouldn't Hire So Many People

Patricia Frost, EVP and CHRO of Seagate, is one of the most fascinating and highest-performing CHROs we’ve met. Patricia has decades of experience as a US Army military leader, most recently as Director of Cyber, Electronic Warfare and Information Operations. How does her extensive military, warfare, and leadership experience pay off? As you’ll hear, Patricia is a hands-on leader, ready to make decisions and challenge dogma in dozens of important ways. In many ways she exemplifies the future leadership model for all C-level leaders, especially the CHRO. Patricia shares how she is navigating the opportunities presented by AI, reshaping talent strategies, and fostering a culture of innovation. Her background as a senior military leader prepared her to build on the team available today, supporting employee mobility, agility, and HR capabilities. Notable Quotes “You go to combat with the team you have, not necessarily the team you want. You can’t just hire in someone and say I want to bring you in my team and put you in close combat. Your team is your team. And you build that team. You build on their skill sets. We do a lot of upskilling in the military. It’s your team. You know everyone’s strengths and weaknesses.” “Middle managers are really the powerhouse of any company. And I don’t know that we spend enough time on our managers, probably our frontline managers, and then the middle management. How well do they understand their teams and the skills within their teams and understand also what people are passionate about? Where would they like to go? What opportunities can be open to them?” “I am front and center. I think every CHRO needs to be front and center in the AI conversation. They need to be leading. They need to be talking about, will AI take away certain functions within HR? First, we had to take the anxiety down from our workforce. So my approach this year is leave no one behind. I am going to give everyone the opportunity. We’re going to give everyone the same set of tools and training, and I will help you get there. Everyone has a choice.” 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: Patricia Frost on Leading Through Crisis and AI(00:00:55) - Patricia on What Works: The Military Experience(00:03:31) - Top Executives: Valuing Your Team in an AI Crisis(00:10:47) - What is HR's role in AI learning and development?(00:16:27) - CFO vs HR Professional: The Chro and CFO Relationship(00:20:56) - How to Make Enterprise IT Decisions with Galileo(00:23:58) - Top Executives: Chief Business Leader(00:25:23) - Top Chros: Patricia Frost Interview

This week I discuss SAP’s massive launch of AI agents throughout the suite, and the growing importance of Joule, SAP’s business agent for all employees. The architecture is now well built out and I explain how AI is permeating the ERP and HCM space. I also discuss our new Galileo – Joule agent-to-agent integration and how MCP and a2a protocols are changing the AI space from a single “agent platform” to a network or AI agents which can now talk to each other and cascade and embed functions in workflows. Listen to my recent podcast on OpenAi’s developer platform and how they also use MCP to bring applications together. Two big messages here: First, SAP really has its AI act together, making it possible for companies to get the best of SAP and other AI agents throughout their companies. Second, the new world of business agents is not “one platform” winning: it’s a network of specialized agents communicating with each other. While none of us wants hundreds of vendor solutions in our tech stack, this interoperability approach is really positive because it lets specialized agents (ie. Galileo) work with others (Joule, Microsoft Copilot, etc.) to help you craft the perfect solutions for your company. Additional Information SAP Jumps Ahead In AI Agents With Joule, HCM Features, And More The Financial Impact of AI on HR: New Research Series AI Pacesetters: The Six Secrets of AI Transformation Success  Galileo: The World’s AI Agent for HR and Management Galileo Learn: The World’s HR Academy For Teams Chapters (00:00:00) - SAP HR and Business Applications: AI for Jobs(00:07:24) - SAP's Smart Recruiters and Cloud-based JOU

This week OpenAI unleashed a new set of developer tools that let’s learning platforms (and content) embed itself into the ChatGPT platform. And they also explain how you can build agents and other learning tools within the ChatGPT interface. I’m not saying this is an enterprise-class platform (it’s not), but the paradigm is so simple it shows everyone how AI-native learning will work. Watch Sam Altman’s Dev Day 2025 Conference Speech (>see the learning demo at this link), OpenAI’s 800 million users can now “learn” on demand from courses developed anywhere, ask questions, and follow their curiosity wherever it leads. As I discuss, this simple demo brings the AI native experience in Galileo Learn to almost a billion consumers. Listen up and you’ll see how corporate learning, knowledge management, and enablement is now coming together in The Revolution of Corporate Learning. You can get your hands on this entire environment for $695 a year, which includes more than 750 courses on HR, management, leadership, and technology. The new world of learning has arrived. Additional Information Experience AI-Native Learning at Work: Get Galileo! The Revolution In Corporate Learning: Our Research Study New Research: The Talent Acquisition Revolution Workday Acquires Sana To Transform Its Learning Platform And Much More Join our AI Excellence Study! We’ll share world-class findings in AI transformation.   Chapters (00:00:00) - Will ChatGPT Revolutionize the Way We Learn?

Listen, I’m very positive on the potential for AI to reinvent our jobs, careers, and companies. But making us all Superworkers is much trickier than we think. This week I discuss the far-reaching implications of AI on jobs and careers, and explain why and how the new world of “no job growth” with “massive job reinvention” gives us a mandate and clear agenda as HR and business leaders. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information L.A.’s Entertainment Economy Is Looking Like a Disaster Movie (WSJ) The Rise Of The Supermanager: A New Role In The World of AI How Japan’s Culture Of Business Teaches Us About AI Transformation The Rise Of The Supermanager: A New Role In The World of AI The AI Revolution in Corporate Learning (new research) The AI Revolution in Talent Acquisition (new research) Get Galileo: The World’s AI Assistant for HR and Leaders Chapters (00:00:00) - How AI Is Affecting the Job Market(00:09:14) - The Future of Work Is AI(00:14:26) - Jobs in a dynamic world(00:22:16) - A few things to Watch Out For