“Only 12% of CEOs say AI has delivered both cost and revenue benefits, while 56% report no significant financial benefit despite heavy investment.” Source: PwC survey of 5,000 CEOs heading into Davos 2026. That’s billions in spending producing zero measurable returns for over half the companies investing. At Davos 2026, the conversation completely shifted. The question is now “Why aren’t we doing it at scale?” Sessions focused on governance, measurement, security architectur

Can an AI agent organize your entire digital work life in seconds? The answer arrived this week when Anthropic shipped Claude Cowork. An autonomous agent that reads files, writes reports, and executes office workflows. Built in 13 days, mostly by Claude itself. The timeline reveals the compounding loop underneath. AI building tools that make AI more useful, accelerating with each iteration. The real story involves what happens to 1.3 billion knowledge workers whose daily ta

McKinsey just announced it has 25,000 AI agents working alongside 40,000 humans. The headlines are treating this like a workforce expansion story. More agents, more capacity, more output. We’re staring at the number and missing what actually matters. AI agents aren’t employees. They’re ephemeral: spun up for a specific task, dissolved when done, reconfigured for the next problem. Some exist for a single client meeting. Others become templates, reused and remixed across proje

I just read the new HBR 2026 AI & Data Leadership Executive Benchmark Survey. 99% of Fortune 1000 leaders say AI is their top priority. 54% report high business value. 83% believe it’s the most transformational technology in a generation. Every headline will trumpet executive optimism. BUT, they’re missing the actual story buried in the data. 1. The Chaos Is The Signal The survey reveals something nobody’s discussing. AI reporting structure is completely incoherent across com

The World Economic Forum just mapped out four AI futures for jobs by 2030. Only one avoids mass displacement. They call it the “Co-Pilot Economy,” a future where AI adoption is widespread but measured, where workers use the technology as complement rather than replacement. Here’s the pattern I’m seeing: companies are paying premium salaries for a skill that AI can’t replicate. Google Cloud: “customer storytelling manager.” Microsoft: “senior director of narrative.” Vanta: $27

Happy new year! I took the last two weeks completely off to focus on health and family. I'm spending the first week of 2026 thinking about one thing: what stays scarce when intelligence becomes abundant. Here's why. We've entered the Era of Asymmetric Impact. The job-apocalypse narrative gets it backwards. AI isn't replacing humans in most knowledge work. It's raising leverage so high that your ability to steer becomes the scarcest resource on Earth. And in the long run, that

Your AI might be brilliant on paper, yet dangerously naïve in reality. Most AI systems don’t truly understand the world; they simply find the easiest shortcuts buried in your data. Consider a real-world case. Researchers set out to train an AI to automatically detect pneumonia from chest X-rays. They fed a deep learning model thousands of images from a specific set of hospitals, and at first, the results looked spectacular. The model showed near-perfect accuracy on X-rays fro

I spent the last week inside the MIT/Oak Ridge "Iceberg Index" study. Not skimming the press release. Reading the actual research. What I found contradicts nearly everything you've heard about AI and jobs. The headlines scream crisis. 11.7% of U.S. wages technically automatable. Mass displacement incoming. But here's what the data actually shows: we're watching the wrong places for the wrong reasons. The Invisible Trillion Everyone is staring at Silicon Valley. The real expo

Exactly three years ago, Google did the same thing because of ChatGPT. Now, the tables have turned. Sam Altman has officially paused "non-essential projects" (like search ads and shopping agents) to focus entirely on the basics: speed, reliability, and reasoning. Here is the smart take on why this is happening: 𝟭\ 𝗧𝗵𝗲 "𝗙𝗶𝗿𝘀𝘁-𝗠𝗼𝘃𝗲𝗿" 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 𝗵𝗮𝘀 𝗲𝘃𝗮𝗽𝗼𝗿𝗮𝘁𝗲𝗱. Google’s Gemini has more than caught up. It is now my go to on multiple fronts. User