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
• SaaS incumbents are likely to deliver many of these agents, so SaaS Apocalypse may be over
• Agent training, context, and maintenance is critical – and this gives you scale and growth – so new jobs are needed
• Frontier labs may or may not survive this enterprise model
• Personal AI agents will be massive and likely disrupt many HR tech vendors.

Lots to learn about here, read more on HR 2030 and call us or get Galileo to learn more.

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 building an entire “work intelligence” platform for AI transformation.

Skills Inference, which is a new AI application, competes with testing and assessment, which is used for screening and recruiting. Andreas discusses how inference is used for talent management, workforce planning, and AI enablement and transformation. Now TechWolf positions its platform as a system to help discover what tasks and skills can be automated by AI. (Now called “task mining.”)

This new market is growing quickly, so it’s important to learn about products like TechWolf in your new HR 2030 architecture.

Additional Information

Introducing HR 2030: A Vision For Agentic Human Resources

The Four “New SoftSkills” We Need To Thrive In The Age of AI (pod)

How To Take A Pragmatic (and winning) Approach To Skills

AI Transformation From the Frontlines (pod)

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 the AI industry since they feed the AI tools we use. Without News Corp’s content, AI wouldn’t be very useful.

Ruth Allen, global CHRO, is responsible for global talent and leadership, real estate and facilities, and corporate communications and security. Her vantage point, as a senior executive, gives you a clear perspective on the ongoing role that journalism, media, publishing, and informed opinion play in the new era of AI.

Ruth also explains how News Corp hires, manages, attracts, and engages its high powered journalists and publishing professionals in this changing world of content.

Additional Information

News Corp Company Overview

News Corp Q4 2026 Investor Call

Perspectives on AI safety and alignment, and what you as a business leader need to know.  I’m attaching a good set of resources for you to read, this is a fascinating issue.

Second, I introduce the idea of Business 2030 – the new, ai-powered operating model for business, which is coupled with HR 2030. As you’ll hear, the new world of HR is going to become essential to your company’s AI business operating model in the coming years. So all the details in HR 2030 are urgent.

Reading and Background

AI Doesn’t Need to Slow Down. The AI Industry Needs to Grow Up. (substack)

HR 2030: How AI Superagents Transform HR From Service Delivery to Dynamic Business Enablement

Galileo Pluto Release: Enterprise HR Intelligence in Any AI Agent

“Superpowered,” our new book that explains the positive future of work

AI Alignment Approaches

OpenAI Discloses Six New Incidents of ‘Concerning’ A.I. Behavior

Google DeepMind launches institute to widen the AGI debate

Claude’s New Constitution

Microsoft AI’s “Code of Conduct”

OpenAI’s Model Behavior Spec

Is AI Conscious? (Sam Harris, Cameron Berg – worth watching)

Today we launch the Jupiter release of Galileo, which we call “HR Intelligence for the Enterprise.”

In this podcast I explain the history of Galileo, its evolving and new technical architecture, and how AI agents can revolutionize every aspect of an employee’s work life. As you’ll hear, Galileo is now the most trusted, efficient, portable source of global HR and management intelligence, available on:

• Microsoft Copilot
• Workday
• ServiceNow
• HiBob
• Gloat
• ChatGPT, Claude, Gemini, and open source AI agents.

I explain how our business model of research, advisory, education, and consulting has been transformed by Galileo, and how Jupiter gives you the most amazing new experience for your managers, employees, and HR teams.

Listen in, and here are more resources for your information.

Galileo Jupiter Resources

Galileo Jupiter Introduction Blog

Jupiter Release Technical Whitepaper

Jupiter Explainer Video

Galileo Jupiter Overview and Q&A

Galileo for Microsoft Copilot

Galileo for Workday

Galileo for ServiceNow

Galileo for HiBob

Galileo for Gloat

We are all living in a world of “beta products” from AI vendors, and whether we like it or not we’re stuck with the risks. Today I weigh in with my perspectives about what’s going on and how we, as consumers and builders, need to push back on Frontier Labs and force them to “fix” these issues.

Lots to debate and I look forward to meeting many of you this Fall as we travel the world discussing our new book Superpowered and our exciting new announcements around Galileo.

(Major launch tomorrow, stay tuned!)

References

“Superpowered,” our new book that explains the positive future of work

“1873: The Rothschilds, the First Great Depression, and the Making of the Modern World,” the history that’s repeating itself

Anthropic’s List of AI Cyber and Swarming Hacks

Dario’s “We Must Pace The Frontier” Article

Sam Altman Postpones OpenAI’s Public Offering Because of Safety Issue

Guess what. There is no AI jobs apocalypse, there’s an AI-fueled labor shortage. And this means human capital and leadership strategies will be more important than ever as we transform our companies around AI.

It also means that you, as a professsional or frontline worker, are going to see yourself become Superpowered, as we discuss in our new book. And the world of HR is moving quickly away from “HR as policy police” to “HR as a growth function.”

Listen in and you’ll see how HR 2030 and AI are reinventing our jobs, careers, and HR operations toward what we call “Dynamic Enablement for Growth.”

Additional Information

Our New Book “Superpowered,” Launching in October

US Workforce In 2035: A Few More Workers, A Lot More Output

Despite Massive AI Investments, HR Jobs Are Booming. Why?

HR 2030: How AI Superagents Transform HR From Service Delivery to Dynamic Business Enablement

What do you do when the funding that anchored your HR transformation disappears unexpectedly? For Seneca Polytechnic, a public college with 44,000 students in the greater Toronto area, the answer was redesigning the transformation itself.

In this episode, we speak with Diana Mohan, Executive Director of Transformation and Change at Seneca Polytechnic — a 2026 HR Pacesetter Award winner — about how her team chose to continue forward rather than press pause when regulatory changes created a structural deficit across Canada’s higher education sector.

Diana shares how Seneca’s HR team embraced AI to totally change how HR operates and scale HR services. Their approach began with listening, building trust and capability across the team, and empowering people at every level to create new AI use cases. The result has not only been more efficient service delivery and a better employee experience—it’s been a strategic shift to an insight-driven, advisory HR function.

Diana Mohan is a transformation specialist and trusted advisor specializing in over a decade of organizational strategy, AI adoption, and the future of work. With a career spanning Deloitte, Kearney, and executive leadership roles, she has helped many organizations translate bold ideas into practical transformation programs, enabling leaders to navigate uncertainty, accelerate change, and prepare for what’s next.

Additional Information

New Research: How AI Transforms $400 Billion Of Corporate Learning

US Workforce In 2035: A Few More Workers, A Lot More Output

The Great Decoupling: How Workers Became Disconnected From Companies And AI Will Accelerate This Trend

Get Galileo: How Seneca Transformed HR

The BLS forecasts an almost flat growth in the labor market in the next decade yet US GDP is expected to grow by 22-24% cumulatively. In order for this to work we are all going to be focused on “labor productivity.”

In this podcast I explain this new world of Superworkers and discuss why the word “labor” itself may be out of date. I also discuss why HR issues like org design, work design, dynamic enablement, talent density, pay equity, dynamic planning, and AI really change the dynamics of our businesses. And HR is now a growth professsion, growing faster than the GDP and increasing in economic value.

Additional Information

Our new book Superpowered, launching in October

US Workforce In 2035: A Few More Workers, A Lot More Output

Galileo will teach you how to drive productivity

Rochana Golani, VP of Enablement at Databricks, is one of the most innovative and business-focused learning executives I’ve met. In this action-packed conversation Rochana shares the secrets of the company’s AI-powered dynamic training, learning, and enablement system, and how she runs internal and customer learning like a fast-growing business.

Databricks is one of the world’s fastest-growing enterprise software companies and a central player in the convergence of data infrastructure, analytics, machine learning, and generative AI.

Founded in 2013 by the UC Berkeley researchers who created Apache Spark, Databricks pioneered the “lakehouse”—an architecture designed to combine the scalability of a data lake with the management, reliability, and analytical capabilities of a data warehouse. Its platform now supports data engineering, business intelligence, AI development, governance, databases, and enterprise AI agents across AWS, Microsoft Azure, and Google Cloud. Databricks company overview

This amazing private company reports:

• More than 20,000 customers
• Approximately 70% of the Fortune 500
• More than 10,000 employees
• More than 8,000 cloud, software, and consulting partners.

As of August 2026, Databricks says it has exceeded a $7 billion annualized revenue run rate, growing by more than 80% year over year during its second quarter.

Additional Information

Corporate Learning: From Static Training to Dynamic Enablement

Galileo Learn: Experience Dynamic Learning Yourself

The Josh Bersin Institute: Masterclass in HR Excellence

Workday’s Q2 2027 earnings were a pivot point, showing how Workday has shifted to its “AI-Forward Future.” The company reported $600 Million of recurring AI revenue and a clear and confident position in the market.

While Workday’s 12.8% YTY revenue growth is nowhere near that of a Frontier Lab, my takeaway is that Workday is here to stay and has a clear position in the agentic business ahead.

Listen up and you may agree with me that SaaS software companies are not going away at all: they may form the basis for the enterprise AI wave ahead.

Additional Information

Introducing HR 2030: A Vision For Agentic Human Resources

Workday Reports Higher Profit, Revenue on AI Agent Adoption

Galileo: All our Research and Much Much More