AI4SP

The Worst AI You'll Ever Use (And We're Not Ready for a Better One) Apr 8, 2026 The AI you are using today is the worst AI you will ever use. And it's only the beginning. But the technology is not the bottleneck. We are. Over 70 million adults in the U.S. cannot reliably understand what they read. And before you think "that is not me," thirty years of point-and-click and social media have quietly eroded how all of us communicate. This issue is about the three human skills that determine...

AI Agents Doubled Your Company Size (And You Don't Know Who Works For You) Mar 25, 2026 Anthropic surveyed eighty thousand people across one hundred and fifty-nine countries. There are many inspiring stories, and this is one insight that stayed with me: 47% of freelancers and entrepreneurs report real economic gains from AI. But inside large organizations? Only 14%. And the employees succeeding inside corporations are the ones acting like freelancers, individuals and teams who stopped waiting...

From One Agent to 50,000: The Enterprise AI Adoption Journey Mar 11, 2026 Fifty thousand AI agents inside one organization. You hear that and picture a massive strategy, huge budgets, years of planning. But every enterprise we have studied traces it back to one person... and one agent. Not a boardroom decision. Not a vendor pitch. One curious employee who decided to try something different. The path from one to fifty thousand? It breaks every assumption about how organizations actually...

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....