Today I’m excited to share a new additions to our HR 2030™ research: The HR Leader’s Guide to Multi-Agent AI Architecture. Getting a multiagent HR architecture right is like conducting an orchestra. The instruments are powerful, the musicians are skilled—but without a score and a conductor, what you get isn’t music. It’s noise. Our newest report tackles one of the most urgent questions facing HR leaders today: not whether to deploy agentic HR, but how to govern it—deliberately, and before the agents go live. The message is clear: the organizations pulling ahead are not just adding AI tools—they are making six deliberate business decisions. And those decisions belong to HR leadership, not IT. The report includes our HR 2030 Multiagent HR Technology Stack, which maps how 8 superagents and more than 150 AI agents connect to power the entire HR function. Against that backdrop, the report walks through six decisions...

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This week SAP explained its new Joule Work and Autonomous Enterprise strategy at its SAP Connect conference. As you’ll hear, SAP is building a solid set of AI agents to compliment and automate many of its business processes and it’s now all live. What does this mean for HR? Well SAP customers now have lots to think about – including how Joule may interact with other agents, what agents and assistants to use, and how to interconnect the SAP Knowledge Graph with non-SAP data. It’s a solid strategy for automating existing business processes, and it’s now up to SAP customers and consultants to learn how to use all these agents for business transformation. Moving to this second topic, I discuss our new research on “Managing a system of agents,” and how you should think through, architect, train, and manage your new family of AI workers. I talk about how specialist...

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There’s a raging debate going on about something called Superintelligence: the idea of a massive AI network that knows everything and does everything for us each day. Bill Gates, Dario Amodei, Elon Musk, Sam Altman, Peter Thiel, and Nick Bostrom are all talking about this, and they’re painting a future where we won’t have to work and entire industries and professions will vanish. In this podcast I try to demystify (and debunk) a lot of these claims, and I postulate that the world may get messy but our imperfect, lovable human selves will still rule the roost, so to speak. Our new book Superpowered is all about this new world, and I think it’s more positive than you think. Also listen to my story about my trip to the Ferrari factory in Maranello Italy, and you’ll see how AI may not be as “all-powerful” in our real world as these...

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I’m really excited about the potential for Personal AI Agents. While GrokBot and Muse and Microsoft Autopilot (Scout) are very young (and not at all mature yet), we can now clearly see how personal AI is going to transform and disrupt our business lives. In this podcast I explain the architecture of HR 2030, our reference blueprint for Agentic HR. You can see how personal agents, action agents, rules agents, monitoring agents, data agents, and Superagents all work together. And it’s important to think this through so you can plan your vendor selection, tech architecture, security architecture, and AI staffing and “management” plan. Some important concepts: HR “agents” do more than HR – they enable dynamic growth, productivity, and cost savings – so take a problem-oriented view Clearly defined agents won’t misbehave, as you’ll see in our architecture Companies will implement Superagents based on business priority, not just for ideation...

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Andreas DeNeve, founder of TechWolf, believes AI can “infer” your skills with great precision. After years studying this problem TechWolf has built a variety of AI language models to observe and identify your skills and tasks, which then form the basis of many decisions in business. TechWolf monitors and indexes all your work activity and then builds a “skills context graph” to show you a skills map of your company. This is a big idea, one which companies like Eightfold, Seekout, Findem, Sana and many others are pursuing. In TechWolf’s platform employees retain full control, validating inferred skills in the flow of work, with a 90%+ acceptance rate across white- and blue-collar workers. The interesting part of this story is that this approach competes with the massive industry of testing and industrial psychology, used for decades to assess fit for a job. Andreas describes the company’s successes and how they’re...

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News Corp, with more than $9 billion in revenue, is one of the most important and iconic media and digital real estate companies in the world. The company owns mastheads like The Wall Street Journal, Barrons, The Times, The Sun, New York Post, California Post, Factiva, Realtor.com, and other media and digital businesses that we rely on for news, information and commerce. News Corp also owns Harper Collins, a $2.3 billion publishing empire. With around 22,000 employees, News Corp provides much of the news, information, insights, and perspectives we consume around the world. The company has major intellectual property holdings in its book, media, and real estate businesses. How does News Corp view AI and its opportunities and threats? As you’ll hear from Ruth, News Corp sees AI as a distribution channel, not a competitor. And as we discuss, one could argue that News Corp is a critical part of...

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