The Josh Bersin Company

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.

  1. 2d ago

    The Philosophical Debate About Superintelligence

    There’s a raging debate going on about something called Superintelligence: the idea of a massive AI network that knows everything and does everything for us each day. Bill Gates, Dario Amodei, Elon Musk, Sam Altman, Peter Thiel, and Nick Bostrom are all talking about this, and they’re painting a future where we won’t have to work and entire industries and professions will vanish. In this podcast I try to demystify (and debunk) a lot of these claims, and I postulate that the world may get messy but our imperfect, lovable human selves will still rule the roost, so to speak. Our new book Superpowered is all about this new world, and I think it’s more positive than you think. Also listen to my story about my trip to the Ferrari factory in Maranello Italy, and you’ll see how AI may not be as “all-powerful” in our real world than these technologists may think. Additional Information Bill Gates on AI Superintelligence Elon Musk on AI Superintelligence Dario Amodei on AI Superintelligence Nick Bostrom on AI Superintelligence Superpowered: How AI Unlocks the Superpower of People, Leadership, and Teams We’re All Talking to Each Other Less Than We Did a Decade Ago Why Technology Failed to Transform Schools   Chapters (00:00:00) - Introduction: Tech leaders' superintelligence claims(00:01:24) - Effective Altruism and abundance movement critique(00:02:02) - Lessons from social media's impact on society(00:03:25) - Why humans get up in the morning: purpose vs pleasure(00:04:59) - AI's limits in addressing human psychology(00:07:13) - AI as a tool, not a replacement for human nature(00:07:39) - Visiting the Ferrari factory: human craftsmanship(00:11:10) - Ferrari's manufacturing philosophy and human touch(00:12:57) - Uniqueness, legacy, and refurbishment at Ferrari(00:15:06) - What Ferrari teaches us about human desires and AI(00:16:02) - Multi-agent AI and personal application of tools(00:17:02) - Risks of AI manipulation, lessons from social media(00:18:31) - Education technology's mixed track record(00:19:40) - Closing thoughts: philosophy, technology, and business

    The Philosophical Debate About Superintelligence
  2. Sep 27

    How HR 2030's Architecture Works & Amazing World of Personal AI Agents

    I’m really excited about the potential for Personal AI Agents. While GrokBot and Muse and Microsoft Autopilot (Scout) are very young (and not at all mature yet), we can now clearly see how personal AI is going to transform and disrupt our business lives. In this podcast I explain the architecture of HR 2030, our reference blueprint for Agentic HR. You can see how personal agents, action agents, rules agents, monitoring agents, data agents, and Superagents all work together. And it’s important to think this through so you can plan your vendor selection, tech architecture, security architecture, and AI staffing and “management” plan. Some important concepts: HR “agents” do more than HR – they enable dynamic growth, productivity, and cost savings – so take a problem-oriented view Clearly defined agents won’t misbehave, as you’ll see in our architecture Companies will implement Superagents based on business priority, not just for ideation SaaS incumbents are likely to deliver many of these agents, so SaaS Apocalypse may be over Agent training, context, and maintenance is critical – and this gives you scale and growth – so new jobs are needed Frontier labs may or may not survive this enterprise model Personal AI agents will be massive and likely disrupt many HR tech vendors. Lots to learn about here, read more on HR 2030 and call us or get Galileo to learn more. Chapters (00:00:00) - Introducing HR 2030 Architecture(00:01:02) - Three Tiers: Super Agents, Agents, Personal Agents(00:02:20) - Building the Agent Database and Use Cases(00:03:23) - Strategic Planning vs Buying Point Tools(00:04:13) - The SaaS Apocalypse Myth(00:04:47) - Rise of Personal Agents (Muse, Grokbot, Scout)(00:05:43) - What a Personal Assistant Could Do For You(00:06:24) - Why Personal Agents Beat Vendor Platforms(00:07:28) - How Personal Agents Know Everything About You(00:08:06) - Positive Uses and Privacy Considerations(00:09:34) - The Digital Twin in Practice Today(00:10:14) - Personal Agents Helping Employees Grow(00:11:01) - This Is Coming - Being Realistic(00:11:25) - How Agents Will Interact With Employees(00:12:09) - Impact on HR Software Vendors and Coaching Tools(00:13:42) - How to Access and Engage With HR 2030(00:14:17) - Galileo's Role and Ongoing Development(00:15:48) - Falling AI Costs and Open Source Models(00:16:21) - Copilot and Running Open Source Models Cheaply(00:16:50) - Business 2030: Dynamic Enablement for Growth(00:17:12) - Not About Headcount Reduction(00:17:36) - Upcoming Conferences and Closing

    How HR 2030's Architecture Works & Amazing World of Personal AI Agents
  3. Sep 25

    TechWolf CEO Andreas DeNeve Wants to Infer Skills With Precision

    Andreas DeNeve, founder of TechWolf, believes AI can “infer” your skills with great precision. After years studying this problem TechWolf has built a variety of AI language models to observe and identify your skills and tasks, which then form the basis of many decisions in business. TechWolf monitors and indexes all your work activity and then builds a “skills context graph” to show you a skills map of your company. This is a big idea, one which companies like Eightfold, Seekout, Findem, Sana and many others are pursuing. In TechWolf’s platform employees retain full control, validating inferred skills in the flow of work, with a 90%+ acceptance rate across white- and blue-collar workers. The interesting part of this story is that this approach competes with the massive industry of testing and industrial psychology, used for decades to assess fit for a job. Andreas describes the company’s successes and how they’re building an entire “work intelligence” platform for AI transformation. Skills Inference, which is a new AI application, competes with testing and assessment, which is used for screening and recruiting. Andreas discusses how inference is used for talent management, workforce planning, and AI enablement and transformation. Now TechWolf positions its platform as a system to help discover what tasks and skills can be automated by AI. (Now called “task mining.”) This new market is growing quickly, so it’s important to learn about products like TechWolf in your new HR 2030 architecture. Additional Information Introducing HR 2030: A Vision For Agentic Human Resources The Four “New SoftSkills” We Need To Thrive In The Age of AI (pod) How To Take A Pragmatic (and winning) Approach To Skills AI Transformation From the Frontlines (pod) Chapters (00:00:00) - Introduction to TechWolf and Andreas Deneve(00:02:35) - Andreas's Background and Founding TechWolf(00:03:59) - The Origin of Skills Inference from Work(00:05:14) - How Skills and Task Inference Technology Works(00:07:50) - Handling Non-Digital and Frontline Work(00:10:38) - Data Readiness and Honesty with Clients(00:12:08) - Employee Data Ownership and Transparency(00:13:58) - Evolution of Use Cases: Talent to Workforce Planning(00:16:01) - Rise of Work Intelligence and Task Proficiency(00:17:09) - AI Transformation and Role Redesign Use Cases(00:18:09) - Measuring AI Usage and Cost Efficiency(00:19:36) - How Insights Are Delivered: Agents and Platforms(00:22:31) - Biggest Challenges in Building TechWolf(00:24:19) - Expansion to the US and Future Plans(00:25:31) - Closing Thoughts and Final Wisdom

  4. Sep 22

    How News Corp Thrives In A World of AI: Ruth Allen, Global CHRO

    News Corp, with more than $9 billion in revenue, is one of the most important and iconic media and digital real estate companies in the world. The company owns mastheads like The Wall Street Journal, Barrons, The Times, The Sun, New York Post, California Post, Factiva, Realtor.com, and other media and digital businesses that we rely on for news, information and commerce. News Corp also owns Harper Collins, a $2.3 billion publishing empire. With around 22,000 employees, News Corp provides much of the news, information, insights, and perspectives we consume around the world. The company has major intellectual property holdings in its book, media, and real estate businesses. How does News Corp view AI and its opportunities and threats? As you’ll hear from Ruth, News Corp sees AI as a distribution channel, not a competitor. And as we discuss, one could argue that News Corp is a critical part of the AI industry since they feed the AI tools we use. Without News Corp’s content, AI wouldn’t be very useful. Ruth Allen, global CHRO, is responsible for global talent and leadership, real estate and facilities, and corporate communications and security. Her vantage point, as a senior executive, gives you a clear perspective on the ongoing role that journalism, media, publishing, and informed opinion play in the new era of AI. Ruth also explains how News Corp hires, manages, attracts, and engages its high powered journalists and publishing professionals in this changing world of content. Additional Information News Corp Company Overview News Corp Q4 2026 Investor Call     Chapters (00:00:00) - Introduction to Ruth Allen and News Corp(00:00:37) - News Corp's Business Segments and Global Reach(00:02:33) - Culture and Decentralized Organization(00:05:51) - Leadership Development Strategy(00:08:05) - Global Mobility and Organizational Agility(00:08:31) - News Corp as an AI Inputs Company(00:11:12) - Content Value vs Technology Commodity(00:11:48) - Attracting and Retaining Journalism Talent(00:13:50) - Coordinating HR Across Business Units(00:14:36) - HR Technology Platforms: Workday and ServiceNow(00:17:21) - AI Adoption Mindset and Training Culture(00:20:04) - AI Empowerment and Debating with AI Tools(00:20:35) - Scaling AI Innovation Across Business Units(00:21:41) - Early Career Hiring and Development in the AI Era(00:24:31) - The Global CHRO Role and Risk Portfolio(00:27:21) - The Future Relevance of HR in an AI World(00:28:40) - Closing Remarks

  5. Sep 18

    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 (00:00:00) - Intro: Europe trip and today's topics(00:00:39) - AI safety as an engineering problem, not research(00:03:01) - Regulatory capture, money incentives, and business legitimacy(00:04:16) - Aligning agents as a corporate buyer(00:04:56) - HR 2030 reference blueprint and agent architecture(00:06:21) - Business 2030: dynamic enablement and AI transformation(00:08:08) - Case study: software vs organizational readiness(00:09:10) - Superworkers, embedded AI, and idea constraints(00:10:46) - HR becoming business-centric(00:12:13) - Client example: beverage company restructuring(00:13:19) - Career opportunities and upcoming events(00:13:49) - Galileo Jupiter release and closing

    AI Safety Is an Engineering Problem, Not A Research Program & Introducing Business 2030
  6. Sep 15

    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 (00:00:00) - Introduction: 30 Years of Human Capital Research(00:01:47) - The Research Membership Business Model(00:04:46) - Why This Work Matters More With AI(00:05:56) - Building Galileo: From Prototype to Full Tool(00:08:09) - Making Galileo Portable Across AI Platforms(00:10:16) - Rethinking the Corpus: Birth of ARC(00:12:19) - Benchmarking Accuracy and the Jupiter Release(00:15:02) - New Data, Faster Delivery, and a New Website(00:16:04) - Beyond HR: Galileo for Managers and Employees(00:16:38) - Deep Microsoft Copilot Integration(00:18:15) - Ecosystem Support and Real-World Use Cases(00:20:16) - Closing Thoughts and What's Next

    Introducing The Jupiter Release of Galileo: An Inside Story
  7. Sep 14

    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 (00:00:00) - AI Doomsday Warnings and Corporate Hypocrisy(00:00:50) - AI Values Reflect Society's Flaws(00:02:35) - Comparing AI Risk to Boeing and Product Safety(00:04:05) - Corporate Liability and Legal Risk of AI Vendors(00:05:16) - Who's Responsible When AI Causes Harm(00:06:15) - Design Flaws and the Jupiter Launch Preview(00:06:59) - Defense, Ethics, and the Oppenheimer Parallel(00:09:16) - Commercialism, Greed, and Historical Parallels(00:10:29) - Railroad Era Comparison and Financial Mania(00:11:05) - Political Divide Over AI and Data Centers(00:12:55) - Data Center Politics and Mobility of Capital(00:13:49) - Software Builders' Dependence on Reliable Models(00:14:24) - Everyday AI Mistakes and Acceptable Risk(00:15:50) - We're All Part of a Giant Beta Test(00:16:25) - Closing Thoughts and Jupiter Teaser

    Perspectives on AI Safety, Rogue Bots, and the Frontier Lab Slowdown
  8. Sep 10

    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 (00:00:00) - The AI Labor Shortage Thesis(00:01:21) - Jobs Boom Driven by AI Infrastructure(00:02:26) - Shrinking Labor Pool and Retention Challenges(00:03:00) - Introducing HR 2030 Blueprint(00:04:42) - Redesigning Jobs and Functional Silos(00:06:00) - Managing AI Agents as Superworkers(00:07:36) - Redefining HR's Mission as Growth Enablement(00:08:53) - Asking About Business Growth Strategy(00:10:32) - Retail Case Study: Growth-Aligned HR(00:12:25) - HR as a Growth Function, Not a Cost Center(00:13:56) - Closing Thoughts and Upcoming Galileo Release

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About

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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