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The Josh Bersin Company

Josh Bersin
The Josh Bersin Company
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  • The Airline Industry's Rocketship Growth: IATA Navigates Future of Aviation Careers
    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. Interested in the topics and stories shared here? Join us at our annual conference Irresistible 2026, on June 8-10 at USC in Los Angeles! 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 this fascinating industry, so please listen, learn, and join us at Irresistible. Like this podcast? Rate us on Spotify or App... Chapters (00:00:00) - Interview: Jane Hoskissen from IATA on Diversity in the(00:01:26) - Analyst: The airline industry's complexity(00:04:37) - Airline Diversity in 2017(00:05:49) - Your Group's Talent Work(00:07:10) - The Future of Work(00:09:29) - Employment Strategy: The Talent Model(00:17:55) - What is the role of skills in the airline industry?(00:20:02) - Do You Look to Airlines as Human Capital Leaders?(00:21:35) - Thanks for your Galileo work
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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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Insider Insights on Corporate Talent, Learning, and HR Technology, with analyst perspectives, executive interviews, and in-depth vendor analysis.
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