The Josh Bersin Company

Welcome to 2026, a year I coin “The Year of Enterprise AI.” As you’ll read about (and hear about) in our 2026 Imperatives launch, the coming year is all about AI moving from “assistants” to “agents” to “solutions.” And there are three big considerations to ponder. First, the cost of AI is skyrocketing, so we’re going to have to focus on high-value use-cases and business-specific solutions. That’s not to say AI assistants and meeting summaries are not valuable, but once you start paying by the token you’re going to want to go deeper. As we discuss in our new Systemic HR AI Framework, we’re sitting on billions of dollars of real business opportunities now, and they go far beyond individual assistants. (We call these Superagents.) And the cost of AI will accelerate this focus. Second, the data center buildout, energy costs, and political issues with data centers will matter. For corporate users this means understanding the underlying “costs” of AI usage (creating a single high powered image uses as much as 25% of the battery in your phone). I point this out to make you aware that these AI chatbots are not “free” – there are acres of computing campuses being built behind the scenes. And that means your “software providers” are turning into capital intensive companies. (And a new industry of data center companies may take over.) (For those of you in the energy industry, it’s a wild time – almost as exciting as I’ve seen since my early days as an energy engineer during the OPEC Arab Oil Embargo in the late 1970s.) Third is the fast-changing issue of AI’s accuracy, trust, and voracious appetite for data. As I discuss, the real opportunity for corporate AI is to take this problem head-on, and focus on your company’s data quality, governance, human feedback, and data labeling. The big AI labs are struggling to reduce the “Jaggedness” of AI (it’s strange ability to be really good at some things and totally dumb about others), and that encourages us to focus on narrow, domain-specific AI applications. And we all need to learn about RLHF (reinforcement learning with human feedback). Our experience with Galileo proves that an AI solution that focuses on a vertical domain can be infinitely more reliable and intelligent than a general purpose AI. But don’t let me argue with Sam Altman, you’ll have to figure this out yourself :-). We are launching our 2026 Imperatives research the third week of January, and there will be a special release of Galileo to accompany all the study. Our goal is not to give you a bunch of pithy predictions, but rather to give you a dozen hard-hitting “Must Do’s” for the year ahead. I look forward to talking with many of your this coming year as we travel around the world, and I hope this podcast gives you some useful insights for an exciting year ahead! Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI (NYT bestseller) From Assistants to Agents to SuperAgents: Where AI Is Going Next (podcast) Galileo: The World’s Expert AI for HR and Leaders  

In this podcast I reflect on five big things we didn’t talk about much this year, and each falling into the “Human Capital” agenda. We spent much of our year worrying about AI, agents, productivity, and jobs, largely putting the “Human Capital” agenda on the back burner. While AI is certainly the defining technology of our times, there are human capital issues to consider. As I discuss, these “soft” issues help us address the “socio-technological” impacts of AI. There’s no question that AI is amazing and it will change our lives. As business people, however, we need to remind ourselves of the human capital issues that matter too. PS: The impact of AI on the job market is already taking a toll. Younger workers are now experiencing much higher unemployment rate than tenured workers, largely because companies believe AI can replace apprenticeships. I’m not a fan of this strategy but you can listen to this analysis to understand. Our big 2026 Imperatives report comes out in January, stay tuned. Additional Information The Dynamic Organization (the human capital strategies that matter during change) The Collapse And Rebirth Of Online Learning And Professional Development Human Centered Leadership (Galileo Learn program) The Healthy Organization (research)     Chapters (00:00:00) - The Business Agenda for 2025(00:09:57) - Human Capital Issues for 2021(00:13:57) - The Future of Jobs Is Uncertain

This week Coursera announced the acquisition of Udemy, demonstrating the accelerating collapse of the 25-year old traditional online learning industry. As I explain in this podcast, this industry is not going away but it’s being quickly and radically transformed by AI. The upside here is a new, highly personalized world of professional development ahead. While courseware, certifications, credentials, and online curricula won’t disappear overnight, the business model of providers is changing very quickly. In this podcast I explain this shift and also show you how our particular Galileo business model works. As someone who participated in the birth of this industry in 1998, I could not be more excited about this new world. If you’re a corporate HR or L&D professional, this transforms your training function. If you’re a vendor or consultant, this changes your business model. And if you’re a business person or senior leader, you have an exciting new world of professional development appearing before your eyes! Stay tuned for more as this market shift accelerates. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information How AI Is Blowing Up The Corporate Learning Market: The Whole Story The Revolution of Corporate Learning: Join The Crusade (research and case studies) Galileo: The AI Rebirth of The Josh Bersin Academy     Chapters (00:00:00) - The collapse of the online learning industry(00:07:29) - The New Paradigm of Continuous AI-(00:17:43) - The Transformation of L&D

Talent Acquisition is perhaps the most important but also complex part of business. In this podcast I explain the intricate details of this $750 billion market, which is now being transformed by AI. As you’ll hear, recruitment is far more nuanced than you may think, so “experts” in HR can do some pretty amazing things. I hope this podcast helps you see the entire landscape and also understand where and why AI can have such an impact. Many tech companies have tried and failed to transform the market (Google Jobs failed, Facebook Jobs failed), yet some thrive and deliver tremendous value. As you listen to this podcast I hope you get a better sense of where this market is going and I encourage you to get Galileo and ask Galileo to explain the vendor market in detail (it is updated almost daily). As always I welcome your feedback and if you have an amazing or interesting story to share, please reach out to us. Like this podcast? Rate us on Spotify or Apple or YouTube. Additional Information The Talent Acquisition Revolution: How AI is Transforming Recruiting (research) AI-First TA Transformation: Join the Revolution! (certificate course) Talent Acquisition Factbook (Benchmark your TA team).   Chapters (00:00:00) - The Process of Hiring and Talent Acquisition(00:07:42) - The 3 Step Process on Hiring Process(00:12:49) - Interviewing the Right People(00:22:23) - One more message about talent acquisition(00:26:18) - A message for recruiters and talent acquisition professionals

Tristram Gray, Chief People and Corporate Affairs Officer at Kmart Group in Australia, explains how the retail giant is revolutionizing high-volume hiring with AI. Managing 55,000 employees across 450 stores, Kmart recruits 12,000 people annually while processing hundreds of thousands of applications. Tristram shares how the company uses Sapia.ai to create a mobile-first, simulation-based AI assessment process that evaluates candidates on culture, values, and behaviors rather than traditional resumes, previous experience, or technical skills. The results are remarkable: 73% reduction in time-to-hire (from 44 days to 11 days), 2.5 times longer retention, enhanced diversity, significant cost savings, and 9 out of 10 candidate satisfaction – which translates to a better brand and customer perception of the retail company. Tristram discusses the importance of providing personalized feedback to every candidate, the transformation of recruiter roles from reactive hiring to proactive talent planning, the need for change agility with operations and HR, and his philosophy that AI, when used ethically and responsibly, can create deeply human impact. This conversation offers powerful insights for anyone navigating the introduction of AI in HR. Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive The Talent Acquisition Revolution: How AI is Transforming Recruiting New Galileo Certificate Program: Elevating Talent Acquisition with AI Chapters (00:00:03) - What Works: Kmart's AI Hiring Strategy(00:01:04) - Kmart's Chief People and Corporate Affairs Officer on the challenges of(00:05:44) - What Makes a Good Fit for Your Company?(00:13:57) - Australia's diversity program(00:14:52) - The Return on Recruitment by 2020(00:17:11) - How did the role of the recruiters change(00:19:01) - The Professional Roles of Distribution Centers(00:19:56) - In the Elevator With AI Recruitment(00:21:22) - What Works in Your Hiring Process