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The Josh Bersin Company

Josh Bersin
The Josh Bersin Company
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  • Understanding Talent Density And Ditching Integrated Talent Management
    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
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  • AI Economics: Why Prices Are Going Up And The Big Shakeout Ahead
    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
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  • From Assistants to Agents to SuperAgents: Where AI Is Going Next
    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
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  • Microsoft Copilot Fine-Tuning With Galileo: Turn Copilot Into An HR Expert
    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
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  • Jacqui Canney, ServiceNow CHRO, Demystifies AI Transformation
    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
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Insider Insights on Corporate Talent, Learning, and HR Technology, with analyst perspectives, executive interviews, and in-depth vendor analysis.
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