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The Josh Bersin Company: Daily Summaries Delivered
by Josh Bersin
Insights on Corporate Talent, Learning, AI, and HR Technology. I discuss new research on all areas of management, leadership, economics, and HR, informed by our proprietary research and deep discussions with clients, vendors, and technology providers. We also publish interviews and case studies from some of the most fascinating and innovative leaders in HR and business.
Latest Episodes
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- 2 days ago14 min
AI Safety Is an Engineering Problem, Not A Research Program & Introducing Business 2030
Perspectives on AI safety and alignment, and what you as a business leader need to know. I’m attaching a good set of resources for you to read, this is a fascinating issue. Second, I introduce the idea of Business 2030 – the new, ai-powered operating model for business, which is coupled with HR 2030. As you’ll hear, the new world of HR is going to become essential to your company’s AI business operating model in the coming years. So all the details in HR 2030 are urgent. Reading and Background AI Doesn’t Need to Slow Down. The AI Industry Needs to Grow Up. (substack) HR 2030: How AI Superagents Transform HR From Service Delivery to Dynamic Business Enablement Galileo Pluto Release: Enterprise HR Intelligence in Any AI Agent “Superpowered,” our new book that explains the positive future of work AI Alignment Approaches OpenAI Discloses Six New Incidents of ‘Concerning’ A.I. Behavior Google DeepMind launches institute to widen the AGI debate Claude’s New Constitution Microsoft AI’s “Code of Conduct” OpenAI’s Model Behavior Spec Is AI Conscious? (Sam Harris, Cameron Berg – worth watching) Chapters - Intro: Europe trip and today's topics - AI safety as an engineering problem, not research - Regulatory capture, money incentives, and business legitimacy - Aligning agents as a corporate buyer - HR 2030 reference blueprint and agent architecture - Business 2030: dynamic enablement and AI transformation - Case study: software vs organizational readiness - Superworkers, embedded AI, and idea constraints - HR becoming business-centric - Client example: beverage company restructuring - Career opportunities and upcoming events - Galileo Jupiter release and closing
- 5 days ago21 min
Introducing The Jupiter Release of Galileo: An Inside Story
Today we launch the Jupiter release of Galileo, which we call “HR Intelligence for the Enterprise.” In this podcast I explain the history of Galileo, its evolving and new technical architecture, and how AI agents can revolutionize every aspect of an employee’s work life. As you’ll hear, Galileo is now the most trusted, efficient, portable source of global HR and management intelligence, available on: Microsoft Copilot Workday ServiceNow HiBob Gloat ChatGPT, Claude, Gemini, and open source AI agents. I explain how our business model of research, advisory, education, and consulting has been transformed by Galileo, and how Jupiter gives you the most amazing new experience for your managers, employees, and HR teams. Listen in, and here are more resources for your information. Galileo Jupiter Resources Galileo Jupiter Introduction Blog Jupiter Release Technical Whitepaper Jupiter Explainer Video Galileo Jupiter Overview and Q&A Galileo for Microsoft Copilot Galileo for Workday Galileo for ServiceNow Galileo for HiBob Galileo for Gloat Chapters - Introduction: 30 Years of Human Capital Research - The Research Membership Business Model - Why This Work Matters More With AI - Building Galileo: From Prototype to Full Tool - Making Galileo Portable Across AI Platforms - Rethinking the Corpus: Birth of ARC - Benchmarking Accuracy and the Jupiter Release - New Data, Faster Delivery, and a New Website - Beyond HR: Galileo for Managers and Employees - Deep Microsoft Copilot Integration - Ecosystem Support and Real-World Use Cases - Closing Thoughts and What's Next
- 6 days ago17 min
Perspectives on AI Safety, Rogue Bots, and the Frontier Lab Slowdown
We are all living in a world of “beta products” from AI vendors, and whether we like it or not we’re stuck with the risks. Today I weigh in with my perspectives about what’s going on and how we, as consumers and builders, need to push back on Frontier Labs and force them to “fix” these issues. Lots to debate and I look forward to meeting many of you this Fall as we travel the world discussing our new book Superpowered and our exciting new announcements around Galileo. (Major launch tomorrow, stay tuned!) References “Superpowered,” our new book that explains the positive future of work “1873: The Rothschilds, the First Great Depression, and the Making of the Modern World,” the history that’s repeating itself Anthropic’s List of AI Cyber and Swarming Hacks Dario’s “We Must Pace The Frontier” Article Sam Altman Postpones OpenAI’s Public Offering Because of Safety Issue Chapters - AI Doomsday Warnings and Corporate Hypocrisy - AI Values Reflect Society's Flaws - Comparing AI Risk to Boeing and Product Safety - Corporate Liability and Legal Risk of AI Vendors - Who's Responsible When AI Causes Harm - Design Flaws and the Jupiter Launch Preview - Defense, Ethics, and the Oppenheimer Parallel - Commercialism, Greed, and Historical Parallels - Railroad Era Comparison and Financial Mania - Political Divide Over AI and Data Centers - Data Center Politics and Mobility of Capital - Software Builders' Dependence on Reliable Models - Everyday AI Mistakes and Acceptable Risk - We're All Part of a Giant Beta Test - Closing Thoughts and Jupiter Teaser
- 1 weeks ago15 min
The AI-Fueled Labor Shortage and Why HR Is Now A Growth Function
Guess what. There is no AI jobs apocalypse, there’s an AI-fueled labor shortage. And this means human capital and leadership strategies will be more important than ever as we transform our companies around AI. It also means that you, as a professsional or frontline worker, are going to see yourself become Superpowered, as we discuss in our new book. And the world of HR is moving quickly away from “HR as policy police” to “HR as a growth function.” Listen in and you’ll see how HR 2030 and AI are reinventing our jobs, careers, and HR operations toward what we call “Dynamic Enablement for Growth.” Additional Information Our New Book “Superpowered,” Launching in October US Workforce In 2035: A Few More Workers, A Lot More Output Despite Massive AI Investments, HR Jobs Are Booming. Why? HR 2030: How AI Superagents Transform HR From Service Delivery to Dynamic Business Enablement Chapters - The AI Labor Shortage Thesis - Jobs Boom Driven by AI Infrastructure - Shrinking Labor Pool and Retention Challenges - Introducing HR 2030 Blueprint - Redesigning Jobs and Functional Silos - Managing AI Agents as Superworkers - Redefining HR's Mission as Growth Enablement - Asking About Business Growth Strategy - Retail Case Study: Growth-Aligned HR - HR as a Growth Function, Not a Cost Center - Closing Thoughts and Upcoming Galileo Release
- 1 weeks ago19 min
AI Pacesetter: Seneca Polytechnic Transforms HR As Frontier Firm
What do you do when the funding that anchored your HR transformation disappears unexpectedly? For Seneca Polytechnic, a public college with 44,000 students in the greater Toronto area, the answer was redesigning the transformation itself. In this episode, we speak with Diana Mohan, Executive Director of Transformation and Change at Seneca Polytechnic — a 2026 HR Pacesetter Award winner — about how her team chose to continue forward rather than press pause when regulatory changes created a structural deficit across Canada’s higher education sector. Diana shares how Seneca’s HR team embraced AI to totally change how HR operates and scale HR services. Their approach began with listening, building trust and capability across the team, and empowering people at every level to create new AI use cases. The result has not only been more efficient service delivery and a better employee experience—it’s been a strategic shift to an insight-driven, advisory HR function. Diana Mohan is a transformation specialist and trusted advisor specializing in over a decade of organizational strategy, AI adoption, and the future of work. With a career spanning Deloitte, Kearney, and executive leadership roles, she has helped many organizations translate bold ideas into practical transformation programs, enabling leaders to navigate uncertainty, accelerate change, and prepare for what’s next. Additional Information New Research: How AI Transforms $400 Billion Of Corporate Learning US Workforce In 2035: A Few More Workers, A Lot More Output The Great Decoupling: How Workers Became Disconnected From Companies And AI Will Accelerate This Trend Get Galileo: How Seneca Transformed HR Chapters - What Works: The Future of Work - HR Pacesetter Award Winners: Diana Mouhand - In the Know: The HR Team at Seneca Polytechnic - How HR is on a transformation journey - How Cognizant Went From Transformation to a Pivot - How To Build Trust in AI at Seneca - The HR org chart: AI Agents - What Makes an HR Team Flexible in the Age of AI - WSJD Live: The AI Transformation
- 2 weeks ago16 min
Labor Day 2035: Why Workers Will Become More Valuable Than Ever
The BLS forecasts an almost flat growth in the labor market in the next decade yet US GDP is expected to grow by 22-24% cumulatively. In order for this to work we are all going to be focused on “labor productivity.” In this podcast I explain this new world of Superworkers and discuss why the word “labor” itself may be out of date. I also discuss why HR issues like org design, work design, dynamic enablement, talent density, pay equity, dynamic planning, and AI really change the dynamics of our businesses. And HR is now a growth professsion, growing faster than the GDP and increasing in economic value. Additional Information Our new book Superpowered, launching in October US Workforce In 2035: A Few More Workers, A Lot More Output Galileo will teach you how to drive productivity Chapters - Labor Market: The super worker - Employee mobility and job and org redesign - Beyond HR: The Role of AI in Business
- 2 weeks ago30 min
Inside Databricks: The Dynamic Learning Operation That Fuels Hypergrowth
Rochana Golani, VP of Enablement at Databricks, is one of the most innovative and business-focused learning executives I’ve met. In this action-packed conversation Rochana shares the secrets of the company’s AI-powered dynamic training, learning, and enablement system, and how she runs internal and customer learning like a fast-growing business. Databricks is one of the world’s fastest-growing enterprise software companies and a central player in the convergence of data infrastructure, analytics, machine learning, and generative AI. Founded in 2013 by the UC Berkeley researchers who created Apache Spark, Databricks pioneered the “lakehouse”—an architecture designed to combine the scalability of a data lake with the management, reliability, and analytical capabilities of a data warehouse. Its platform now supports data engineering, business intelligence, AI development, governance, databases, and enterprise AI agents across AWS, Microsoft Azure, and Google Cloud. Databricks company overview This amazing private company reports: More than 20,000 customers Approximately 70% of the Fortune 500 More than 10,000 employees More than 8,000 cloud, software, and consulting partners. As of August 2026, Databricks says it has exceeded a $7 billion annualized revenue run rate, growing by more than 80% year over year during its second quarter. Additional Information Corporate Learning: From Static Training to Dynamic Enablement Galileo Learn: Experience Dynamic Learning Yourself The Josh Bersin Institute: Masterclass in HR Excellence Chapters - Interview With Databricks's Roshana Golani - Databricks CEO on the Disruptive Technology - How to Get Empowerment at Databricks - WSJD Live: Data & Machine Learning Lead the Way - Teaching and Enablement: The New Paradigm - How to Build a Better Solution with Databricks - WSJD Live: The Skills Taxonomy - What do you think happens to course content? - The source of content in the Learning Infrastructure - Databricks: The go-to training solution for business users - In the Era of AI, Who Will Lead the Transformation? - Subject Matter Experts and the Learning Infrastructure - A Day in the Life of Leadership Development
- 2 weeks ago13 min
Workday Earnings Call: Company Is Moving Swiftly To An AI Future
Workday’s Q2 2027 earnings were a pivot point, showing how Workday has shifted to its “AI-Forward Future.” The company reported $600 Million of new AI revenue and a clear and confident position in the market. While Workday’s 12.8% YTY revenue growth is nowhere near that of a Frontier Lab, my takeaway is that Workday is here to stay and has a clear position in the agentic business ahead. Listen up and you may agree with me that SaaS software companies are not going away at all: they may form the basis for the enterprise AI wave ahead. Additional Information Introducing HR 2030: A Vision For Agentic Human Resources Workday Reports Higher Profit, Revenue on AI Agent Adoption Galileo: All our Research and Much Much More Chapters - SaaS vs. AI Software: Will SaaS Replace - SANA and Workday: The Enterprise Connection
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About The Josh Bersin Company
Insights on Corporate Talent, Learning, AI, and HR Technology. I discuss new research on all areas of management, leadership, economics, and HR, informed by our proprietary research and deep discussions with clients, vendors, and technology providers. We also publish interviews and case studies from some of the most fascinating and innovative leaders in HR and business.
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