The Josh Bersin Company

Josh Bersin
  • 4.5（2）
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  • アップデート：毎週

Insights on Corporate Talent, Learning, AI, and HR Technology.

  1. 12時間前

    Reflections On The Sana AI Summit In New York City

    This week I attended the Sana AI Summit in NYC, so I wanted to share the various conversations and new ideas that came from this multi-disciplinary meeting. I hope my summary helps you see some of the bigger issues at play here. Will AI destroy the job market? What is the real economic value so far? What is the difference between AI and humans? How safe is AI in reality? And how can we use AI to really better our lives, careers, and companies? I hope my summary gives you some new ideas to think about as this technology permeates our lives and businesses. (And I recommend Geoffrey Hinton’s discussion for a listen.) Speaker Role / affiliation listed Tyler Cowen Economist and author Geoffrey Hinton Computer scientist and “Godfather of AI” Anton Osika Co-Founder, Lovable Lauren Crichton Vice President, Sana Benjamín Labatut Writer Aneel Bhusri Co-founder, CEO and Chair, Workday Jasmine Sun Tech anthropologist Joel Hellermark Founder and CEO, Sana Sara Imari Walker Astrobiologist Ethan Mollick Professor of Entrepreneurship Anu Atluru Essayist and technologist

    23分

  2. 1日前

    Surprise, Your AI Doesn't Train Itself. Building and Maintaining AI Agents.

    Many of our clients are playing with Claude, building things, and telling us about their amazing new innovations. But there’s a strange misconception out there – the idea that you can just “buy an Agent” and turn it on immediately. AI doesn’t quite work this way. These systems “become you” – which means you have to train, maintain, tune, and continuously monitor them. Here’s the story for a quick listen. Here is a brief background on “managing and maintaining” AI agents. And remember, this is the power of AI – you want it to “learn” about your company!  But like a junior staff member, you have to coach and train it. Additional Information Introducing HR 2030: A Vision For Agentic Human Resources Agentic HR: Where Enterprise AI Is Going – Imperatives  Why AI Is A Massive Job-Creation Technology, Despite What You Think The Age of the Superworker (and Supermanager) Get Galileo: The AI Superagent for HR Chapters (00:00:00) - The Real Story of AI in Talent Management(00:07:27) - Onboarding the AI Learning Curve

    15分

  3. 3日前

    New Research On Frontline and Cornerstone Goes Big Into AI

    This week I’m in New York “Live!” and there are some exciting things happening: we launched our newest research on “The Five Types of Frontline Worker” which will help you dramatically improve that part of your business, and Cornerstone, the largest L&D tech provider, went BIG into AI. Listen up for more details, and read the newest article for analysis. Additional Information Josh Bersin Company Defines New HR Taxonomy for Frontline Workers to Improve Hiring, Pay, Retention, and Management Research: Understanding The Five Types of Frontline Workers Cornerstone Launches Its Reinvention, Helping to Redefine Corporate Learning Get Galileo: The Everything HR AI Agent for HR and Leaders   Chapters (00:00:00) - Cornerstone on the frontline labor market(00:00:21) - The frontline workforce and the cornerstone(00:03:47) - The Future of Workforce Segmentation(00:12:25) - The future of learning is dynamic content(00:17:26) - Josh Burson at Irresistible 2026(00:19:17) - Podcast

    20分

  4. 5月16日

    Long Live A Liberal Arts Education: Why Humanities And Science Matter In Life and Careers.

    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   Chapters (00:00:00) - I actually did have a liberal arts education. My engineering degree came later(00:08:24) - The Human Dimension of HR(00:16:59) - Systematic HR: The Human Capital System

    22分
  5. How Do Some Employers Hire Frontline Workers 5X Faster With Higher Quality?

    5月16日 ·  ビデオ

    How Do Some Employers Hire Frontline Workers 5X Faster With Higher Quality?

    Frontline workforce hiring is important: these are the workers who deliver services, care for patients, and deliver the food or products that we rely on every day. Yet as we look at benchmarks for hiring and retention we see massive variations across companies. In fact the highest-performing companies hire 5-times quicker than others, and also find higher quality candidates! (Speed actually improves your quality of hire…) Nehal Nangia, our lead analyst studying frontline work, explains the complexities. And as you’ll hear from Josh Secrest from Paradox, there are massive business implications in time to hire. Interestingly enough, well designed AI platforms for frontline hiring have a massive return on investment.  As Nehal explains, frontline hiring is very complicated, and fewer than 25% of companies have figured this out. Lots of room for innovation and AI tools to help! This podcast will open your eyes. Additional Information Powering the Frontline Workforce: How Frontline-First Companies Thrive The Talent Acquisition Revolution: How AI is Transforming Recruiting Why AI Is A Massive Job Creation Technology. Automated Integration. Findem. And Thank You. Insights-First AI: Better and Explainable People Decisions   Chapters (00:00:03) - Time to Hire and Quality of Hire(00:02:52) - The Longer Time to Hire(00:07:29) - Time to Hire: The Business Case(00:13:53) - How to Manage AI in Restaurants(00:16:42) - The $64,000 Question(00:18:54) - Is AI Affecting the Job Interview?(00:21:40) - The Future of Managers(00:24:46) - Management Technology: The Problem(00:26:10) - Frontline Workers: Flexibility Is Key(00:30:24) - Good Hires vs. Bad Hires(00:32:05) - Employee retention and break-even points(00:34:54) - Fooling around with React: Explained

    36分

  6. 5月14日

    Build vs. Buy. It's So Easy To Build HR Software Now! Or Is It?

    I just attended the Eightfold user conference where they introduced TalentForge, a toolset to build agents, and the CEO Ashutosh Garg told us their HR team could build their own HRMS. Gloat is offering much of the same toolset, with integrations into Microsoft Teams, Copilot, Gemini and Claude – and you can import all your business rules from SuccessFactors, Workday, and other tools. And almost all HR vendors (Findem, Eightfold, our own Galileo) have MCP plugins so you can access them in any agent you choose. So the big question looms: what should you build and what should you buy? In this podcast I explain some of the considerations here and warn you that A) this is not as “easy” as it looks, and B) in a corporate setting you may want to think twice before you embark on a major replacement on your own. On the other hand, fire up Cowork or another tool and build your own personal agent, as long as your data security is in place. Lots of experimentation ahead and we will introduce you to companies that have built dozens of amazing HR agents at Irresistible 2026. 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 ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything Could Microsoft Win The War For Enterprise AI? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) The Superagent for HR: Galileo Mars Release Chapters (00:00:00) - Building a Talent Portal in the Age of AI(00:09:46) - Will Businesses Reboot Their Processes With RPA?(00:10:47) - Build vs. Buy in the HR world

    16分

  7. 5月9日

    The Economics of Enterprise AI: For Buyers and Vendors

    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 Chapters (00:00:00) - AI and the Job Market(00:07:43) - The future of IT spending on AI(00:16:29) - The Future of Work and Human Talent

    24分

  8. 5月8日

    Is The SaaS Apocalypse Over? ServiceNow Says Yes, And Sees A $30 Billion Opportunity

    This week ServiceNow launched a massive set of new products to establish itself as the system that manages every AI agent in the enterprise.  It’s a bold set of new products, including Otto (Moveworks), the Agent Fabric, the Context Engine, and the Autonomous AI Specialists. In reality the strategy is an expanded view of what Workday (Agent System of Record and Sana) and Microsoft (Agent 365 and Work IQ) are doing, but with a much deeper set of tools. Not only is this a bold move to accelerate Agentic HR and Agentic business systems, it now explains why enterprise software companies are far from dead. In fact, the monetization model here is for you to pay for AI credits (ServiceNow has different levels of usage) and that revenue, which helps ServiceNow grow, is offset by your reduction in labor cost. It’s all explained in this article and the podcast, and the implications are big for IT, HR software companies, and all of you trying to build AI solutions for your team. 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? The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go) The Superagent for HR: Galileo Mars Release Chapters (00:00:00) - ServiceNow's AI Announcement(00:01:04) - ServiceNow's Sprawl of AI Agents(00:03:42) - ServiceNow vs. Workday: The AI Control Tower(00:13:10) - WSJD HR 2030: The Agent Roadmap

    14分
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番組について

Insights on Corporate Talent, Learning, AI, and HR Technology.

情報

  • クリエイター
    Josh Bersin
  • 配信期間
    20年 - 26年
  • エピソード
    361
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © 2024 JOSH BERSIN
  • 番組のWebサイト
    The Josh Bersin Company

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