Josh Bersin

As AI vendors hype “recursive self-improvement” and other scary features, we see more and more “mainstreaming” of AI technology in business. In other words, the AI does not solve problems by itself: we as HR and IT leaders need to clearly define our needs and then buy, build, and tune the technologies we buy. Some AI vendors (ie. Paradox, Radancy, Sana, Maki, others) are laser focused on very specific use-cases, and they are delivering solution-first offerings that really add value. The frontier vendors, however, are struggling to do this and much of their revenue still comes from “enabling others” to create solutions. And the new usage-based pricing is forcing this kind of pragmatic thinking. In this podcast I highlight this “commoditization” of core AI features and explain why your “problem identification” work is perhaps the biggest effort in the HR 2030 Agentic HR strategy. (Take our new HR 2030 course or sign up for our new Global HR Excellence Certification.) Additional Information Is AI A “Normal” Technology? The Rise of the Supermanager Our New Book Superpowered, Coming This Fall! New Course: Galileo Is Ready To Teach You What You Need to Know about HR 2030    

As we prepare for these juggernauts to go public, I’m reminded of Yahoo, Excite, and AOL who dominated the first four years of the internet. Despite their lead, Google stole the market away. Could the same thing happen again? The argument is not that these companies aren’t powerful, but rather that they’re so committed to their current path that they may miss the big opportunity in the future. If you look at HR 2030 and what we want to do with enterprise AI, the ability to generate code, graphics, and text may not be what we need. And our new research on Galileo business modeling is starting to pan this out. Now that AI prices are high, we all have to look for bigger use-cases for agents. In this podcast I explain what “Dynamic Enablement for Growth” really means and how LLMs only take us so far, with a new frontier yet to come. As always I welcome opinions and feedback on this thesis. Additional Information To Come…. Get Galileo and see business modeling in action. The New Global HR Excellence Certification – Join the Inaugural Cohort! HR 2030: Time to Reinvent HR Around Agents  

This week I turn 70 so and we’re in college graduation season, so I took some time to give you my perspectives on “The Liberal Arts Education,” and why it matters so much. Not only are liberal arts important to your personal understanding of the world, they give you career skills you’ll use forever. I explain today, using myself as an example, why and how liberal arts, science, history, politics, and learning to think and write are the most important skills you have. As we read about college grads complaining about AI and struggling to find jobs, I think you’ll find this inspiring and positive for the future. We’re living in a very disruptive time, and your perspectives on the “system of life” and “system of work” is one of the most valuable capabilities you build over time. I’ll be talking much more about this in New York this week, and I hope to see many of you there or at Irresistible in June. Have a wonderful weekend and I hope this podcast gives you new perspectives you can use in your life as a professional, HR leader, manager, or parent. Additional Information Irresistible 2026: The Global HR Conference for Leaders and their Teams – join us! Liberal Arts Colleges in Crisis: Long Live Liberal Arts (Bloomberg) Introducing HR 2030: A Vision For Agentic Human Resources Everything We Know About HR and Leadership: Get Galileo, the AI Superagent for HR  

We’re now at a stage where enterprise-class AI solutions are real, and suppliers are jockeying for position. Microsoft has consolidated its Copilot efforts into a more integrated offering, and also raised prices. Workday and ServiceNow have defined new consumption-based pricing models which shift from “buying seats” to “buying capacity.” The Frontier model vendors like Anthropic and OpenAI are spending money massively, ready to go public soon, so we’ll understand their business models. And in the meantime both are investing in PE-backed joint ventures to build more engineering and implementation services to speed enterprise adoption. The big story is clear to me: we’re in the early stage of a multi-trillion dollar redesign and reinvention of our companies, employee experiences, and customer experiences – all moving to a model we call “Dynamic Enablement.” Despite this direction, the products are new and immature, so there’s lots of risk-investment to undertake. In this podcast I give HR and IT buyers our experience with AI projects so far, and show you that a focus on near-term use-cases is the best way to proceed. As they say, you can only eat an elephant “one bite at a time.” Just as mainframe transformation took decades, so will AI transformation take time (albeit less time!). So invest wisely and you’ll see tremendously positive ROI quickly. Finally let me offer our help. We’ve already helped dozens of companies build high ROI AI solutions in recruiting, training, enablement, and employee experience. Watch for more in our HR 2030 program to stay in touch. Additional Information (Note that all our research and podcasts are at your fingertips in Galileo) The Reinvention of Workday: From System of Record to Platform of Agents Could Microsoft Win The War For Enterprise AI? ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Superagent for HR: Galileo Mars Release