AI4SP

We’re Hiring More AI Agents Than People (And We Don’t Know How to Manage Them) Feb 25, 2026 McKinsey’s CEO just disclosed: 40,000 humans… and 25,000 AI agents, and he expects parity by year-end. EY is scaling to 100,000. Our own enterprise clients jumped from 4,000 to 6,000 agents in weeks. Everyone is scaling the digital workforce. Nobody has the management manual. In the podcast, we go deeper with real stories from the field and management principles that can solve AI implementation...

The Two Percent: The AI Leaders You Already Have Feb 11, 2026 We analyzed AI adoption across 180,000 people. The pattern is always the same. In every single organization, there is a small group, between two and eight percent, who figured it out on their own. No training program. No permission slip. They just... built. And here is the missed opportunity: most leaders have no idea who these people are. And they are about to lose them. Find them... or lose them. 🎧 In this week's companion...

Why 56% Get Zero Value from AI While Others Realize Millions Jan 28, 2026 I just read the PwC Global CEO Survey... and one number made me pause: 56%. That is the percentage of organizations that are getting nothing from their AI investments. Zero return. And yet... here we are. At AI4SP, 58 agents run our entire global operation. Our Fortune 500 clients built 4,000 agents last year—generating $50 million in documented value, and are forecasting over $250 million this year. Same technology....

Stop Treating AI Like Google: Why 90% Get It Wrong Jan 14, 2026 Last week, I ran a simple test with eighty business leaders and students at the University of Washington. I put the free version of ChatGPT on the screen and asked: "What is OpenAI's latest model?" It answered with bold confidence: "As of January 2026, the latest model is GPT-4 Turbo." It was wrong. We are already on version 5.2. The error isn't the problem. The problem, the crisis, was the reaction. Not a single person in the...

What I Learned from Building 4,000 AI Agents in 2025 Dec 17, 2025 In 2025, we guided global teams to build 4,000 AI agents. Looking back, one fact stands out. We are using the “dumbest” AI we will ever see. It hallucinates. It struggles with reasoning. Yet it is already replacing white-collar work. This shows a flaw in how we design jobs. We built careers around tasks so repetitive that even a mediocre AI can do them. Many universities still teach the exact skills this first generation of AI...

The Steve Jobs Gap – Imagination vs. Features Dec 3, 2025 Here’s a controversial thought: If we stopped all AI development right now—no GPT-6, no Gemini 4, no new models ever again—we’d still have enough power to change society in a thousand positive ways. Yet leaders keep telling us AI “can’t do enough yet.” The real issue is a lack of imagination. We’re drowning in features and benchmarks but starving for vision—mainly because the sector is doing a terrible job showcasing what’s possible....

Our AI Agents aren’t lazy, our Org Charts are Nov 18, 2025 If your teams are saving hours with AI but your P&L looks the same, you don’t have a technology problem. You have an organizational problem. The same AI models can deliver million-hour gains in one company and stall in another. The difference is that the successful company updated its org chart, incentives, and decision-making for a world where one person can manage five agents doing the work of thirty. 🎧 Tired of reading so many...

AI Hallucinations: Why It’s Not (Just) a Tech Problem Nov 5, 2025 Nearly $300,000. That’s what Deloitte had to partially refund the Australian government after their AI-generated report on welfare policy included twenty fabricated academic citations and invented court judgments. Twenty fake references. In a government report. From one of the world’s leading consulting firms. When the story broke, the headlines wrote themselves: “AI Hallucinations Strike Again.” But here’s what everyone...

Why only 2% of AI users save 100s of hours (and you are not)? Oct 22, 2025 I just came back from a roadshow in California. In every interaction with business leaders, scientists, and students, there is excitement about the AI promise, but adoption is rocky. They all asked the same question in different ways: “How do I build my own agent?” Everyone is using AI, but they feel stuck An actress created her agent to support her career. A neuroscientist needed an AI chief medical officer to...