The Josh Bersin Company

Welcome to IRRESISTIBLE 2026 at USC in beautiful Los Angeles! Today we welcome 450 of our closest friends and introduce The Josh Bersin Institute Global HR Excellence Certification (GHRE). This is all focused on preparing you for HR 2030, which we also introduced today. Additional Information Josh Bersin Institute Launch Video HR 2030 Launch Video Details On Launch And New Galileo Capabilities       Chapters (00:00:00) - HRUC2026: The Future of AI Jobs(00:02:47) - Josh Burson Institute Launches Global HR Excellence Program

As we prepare to launch the HR 2030 Initiative next week, I pose an important question. What IS the real role of Human Resources in a world of AI, automation, and business acceleration? As you’ll hear, we believe HR is no longer the policy police, recruiting, training, or pay department. In a world of Agents, a new role has emerged: Dynamic Enablement for Growth. Today I discuss the historic role HR has played over the years, why many people distrust or misunderstand HR, and how HR emerges with an even more important role in the future. And in a world where CEOs believe automation will eliminate many of their workers, HR’s job is not to fight the trend, but rather accelerate it. And the result will be business growth, new career opportunities, and plenty of new jobs. This coming week at Irresistible 2026 we launch HR 2030 and also The Josh Bersin Institute, a new education and credentialing business to prepare every HR professional, HR leader, consultant, and HR vendor to learn and thrive in this new world. All the details are coming this week. I welcome your comments on this topic and I look forward to seeing our 450+ attendees at Irresistible on Monday at USC in Los Angeles. Additional Information HR 2030: Program Details (video) HR 2030: Explained Why AI Is A Massive Job-Creation Technology, Despite What You Think The HR-Ification Of The Democratic Party (The Atlantic) Chapters (00:00:00) - Why Does the HR Department Even Exist?(00:05:51) - HR Dynamics: Dynamic Enablement for Growth(00:09:09) - The Future of HR Is Complicated(00:16:15) - The skills needed in AI-related jobs(00:17:38) - A Taste of Irresistible Conference

This week was pretty exciting: Microsoft unveiled its Frontier Fine Tuning along with a new hardware stack and developer tools, while NVIDIA launched its foray into PC powered AI. Two big themes here: first is reducing computing cost as data centers start driving up all our AI cost, and second to make AI ever more personal for you and your company. You’ll also see that we’ve optimized Galileo into the Microsoft Copilot and you can get early access below, with GA coming later this summer. Even if you’re not an AI or PC geek this information is important because the way you focus your attention on AI has to change. We launch HR 2030 and the Josh Bersin Institute next week, stay tuned! Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI Satya Nadella Keynote at Build (go to 1:45 for Frontier Fine Tuning announcement) Jensen Huang DTC Keynote in Taiwan More on Microsoft Frontier Fine Tuning for Copilot     Chapters (00:00:00) - AI Token Maxing and the High Cost of AI(00:05:03) - Microsoft's Edge computing and fine-tuning the(00:09:11) - How Nvidia Went From Graphics to AI

I’ve decided that the biggest challenge we have in AI is now keeping track of the new words being created. Words like harness, layer, mesh, vector, orchestrator, tools, surface, memory – they all mean very special things. And engineers and marketing people keep dreaming up new ones (spine? pattern? control plane? MCP? LangChain? headless? MCP? mesh? ontology?). In this podcast I do my best to explain what these words mean, and give you a non-technical understanding of how all this stuff works. If people like this I’ll keep you up to date on all these new words. Additional Information (Note that all our research and podcasts are in Galileo) AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI 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) Jensen Huang’s Taipei Speech (filled with this jargon) The Superagent for HR: Galileo Mars Release Chapters (00:00:00) - The Trouble With Words in the AI Era(00:07:28) - Three Words of the Real-World Model (RAG, M(00:10:16) - Hiring with a Neural Network(00:16:27) - What is the Microsoft SQL Server Fabric or Mesh?(00:18:07) - The issue of governance in the HCM(00:19:36) - A Little More About Machine Learning

Here’s an update on Google’s Gemini Flash 3.5 (bad name) and how it impacts the enterprise market, an update on Google AI in Search, and an update on the HR 2030 architecture coming out at Irresistible. I also want to thank you as a listener, we discovered that this podcast now reaches 4 million HR and business professionals around the world. I take that responsibility very seriously and we all work very hard to avoid advertisements or any kind of “blind opinions” in this format. You do get all my and our perspectives of course and I encourage you to get Galileo, our amazing AI platform, which serves as “me” – you can ask it any question and it answers, guides you, and helps you learn and solve problems. By the way we’re going to be demonstrating some groundbreaking new Galileo capabilities at Irresistible, including the ability to load your entire company model. This means you can model a reorganization, redeployment, upskilling, flattening, or AI transformation for your team, business, or company – even looking at pay inequities and more. Those of you coming will see this in action. (Galileo Suite is only $79 a month or $795 a year.) The “bag of doorknobs” phrase is one I learned as a software guy, it refers to the mess we create when we buy 140 employee systems and then add 500 new agents without an architectural strategy. Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI HR 2030: The Vision for Agentic HR Hits Reality Get Galileo, The Everything HR AI Ready For You   Chapters (00:00:00) - Google Conference 2017: A Preview(00:00:28) - Google's AI Moves to the Enterprise(00:03:33) - Galileo HR 2030: The Future of Learning Machines(00:05:05) - How to Prepare for HR 2030 with the New Technology(00:10:38) - The IT Infrastructure of AI(00:12:23) - App Store Integration: Real or a Scam?(00:13:58) - Will AI Make Your Life Easier?

What if the biggest mistake companies make with AI transformation is treating it as a technology problem? Laurent Aufils, Chief People Officer at Orange Business, knows that it’s all about people. In this episode, Kathi Enderes sits down with Laurent to explore how one of the world’s leading digital services companies transformed its entire 30,000-people workforce through a people-first approach to generative AI. The results are concrete and striking. Orange Business’s AI-powered contract management tool slashed what previously took teams weeks of painstaking analysis to under three hours — fundamentally disrupting not just how people work, but how they understand the value they bring.  Rather than letting 30,000 people go and rehiring AI specialists, Laurent and his team made a bold choice: there will always be a human in the loop. That principle became the foundation of everything — the cultural compass that kept employees from fearing the future and turned anxiety into engagement. The numbers tell the story. Among employees who went through Orange Business’s reskilling and upskilling programs, employee Net Promoter Scores shot from a modest +8 to a remarkable +41. Over 90% of the company’s workforce is now trained in generative AI, and more than 60% use it as a regular part of their daily work.  AI certifications became a business objective on par with financial targets, and the company won contracts specifically because clients knew their teams had the credentials to back up their pitch. But perhaps the most powerful insight Laurent shares is about learning. In the AI era, learning is no longer a one-time investment or a classroom event; it is a continuous business capability, and it must be embedded into the rhythm of everyday work. Orange Business’s YouTime initiative — dedicating three hours per month per employee to learning — changed the entire mindset of the organization. Paired with an 11,000-member internal generative AI community, it created the kind of grassroots momentum that no top-down mandate ever could. Laurent’s advice to CHROs and HR leaders: stay humble, keep experimenting, and never let technology outpace your people. Related resources Podcast: Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You.  The Superworker Organization: AI Goes Enterprise AI Pacesetters: Six Secrets Of The Superworker Company  The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR   Chapters (00:00:03) - What Works: Changing the Way People Work(00:00:44) - Orange Business's AI Transformation(00:05:40) - How GE Prepared for the Generative AI Transformation(00:12:16) - How did the learning function change with the introduction of generative AI(00:15:09) - How Has Cognizant is evolving its culture(00:18:49) - Culture and the AI journey(00:22:02) - Top Executives: The AI Transformation(00:24:39) - What Works: Chief People Officer at Orange Business

The Pope’s Encyclical on AI is well worth reading. It’s not only about the perils and risks of technology, it’s really a manifesto about power. I found the essay extremely valuable to read so I wanted to share my perspectives on the topic and the fascinating analogy between AI and The Tower of Babel. I welcome your thoughts and comments. Additional Information The Encyclical Summary: Pope Leo’s ‘Magnifica humanitas’: AI must serve humanity not concentrate power AI Prices Are Going Up, Up, Up – Maybe Workers Are More Productive Than You Thought Chapters (00:00:00) - On the Pope's AI Encyclical(00:08:33) - Robots and the Pope

This week I attended the Sana AI Summit in NYC, so I wanted to share the various conversations and new ideas that came from this multi-disciplinary meeting. I hope my summary helps you see some of the bigger issues at play here. Will AI destroy the job market? What is the real economic value so far? What is the difference between AI and humans? How safe is AI in reality? And how can we use AI to really better our lives, careers, and companies? I hope my summary gives you some new ideas to think about as this technology permeates our lives and businesses. (And I recommend Geoffrey Hinton’s discussion for a listen.) Speaker Role / affiliation listed Tyler Cowen Economist and author Geoffrey Hinton Computer scientist and “Godfather of AI” Anton Osika Co-Founder, Lovable Lauren Crichton Vice President, Sana Benjamín Labatut Writer Aneel Bhusri Co-founder, CEO and Chair, Workday Jasmine Sun Tech anthropologist Joel Hellermark Founder and CEO, Sana Sara Imari Walker Astrobiologist Ethan Mollick Professor of Entrepreneurship Anu Atluru Essayist and technologist Chapters (00:00:00) - SANAA AI Summit 2017(00:01:23) - A More Human World With AI(00:03:19) - Will AI Hurt the Economy?(00:06:53) - A More Human Workforce(00:08:47) - What is a Human Decision?(00:15:26) - The Ethical Problem of AI(00:18:46) - The cranky writer on AI(00:20:12) - The Future of AI in HR(00:21:58) - A Taste of the AI Summit

Many of our clients are playing with Claude, building things, and telling us about their amazing new innovations. But there’s a strange misconception out there – the idea that you can just “buy an Agent” and turn it on immediately. AI doesn’t quite work this way. These systems “become you” – which means you have to train, maintain, tune, and continuously monitor them. Here’s the story for a quick listen. Here is a brief background on “managing and maintaining” AI agents. And remember, this is the power of AI – you want it to “learn” about your company!  But like a junior staff member, you have to coach and train it. Additional Information Introducing HR 2030: A Vision For Agentic Human Resources 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) - The Real Story of AI in Talent Management(00:07:27) - Onboarding the AI Learning Curve

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