On May 4, 2026, Anthropic stopped being just an AI lab. They formed a $1.5 billion enterprise services company and walked directly into the business that Infosys, TCS, and Wipro have owned for three decades. I want to think through what actually happened, what it means for the industry, and where the work is going from here.
The question isn't what skill to learn. It's what kind of person you're becoming and what taste you're building.
I architect software projects, tools, and digital experiences. I am seeking a strategic partner to introduce these innovations to the global market, connect with users, and transform powerful ideas into sustainable revenue.
A model too powerful to release publicly, job predictions that aged out overnight, and a quiet case for why watching a film might be the most productive thing you do today.
Most people are chasing machine learning and prompt engineering. But the skill that is quietly becoming one of the most in-demand in the entire AI industry is understanding how AI models should behave, and knowing how to build the frameworks that govern them. Here is everything I learned going deep on this topic.
I launched this site to share my research and recommendations on the specific jobs, markets, and categories that I believe are positioned for significant growth.
I thought giving people chances was a strength. I hired friends, I brought in co-founders I believed in, I gave opportunities to people who seemed passionate and eager. Every single time, I told myself it would work out. Most of the time, it didn't. This is the story of what went wrong, why it went wrong, and the hard mental shifts that changed how I think about building a team forever.
I've been building with Google Antigravity for months. I paid for Pro. I convinced myself it would get better. It didn't. Here's what actually happened, and why I'm done pretending.
In a world where artificial intelligence is rapidly consuming every professional lane we thought was safe, I've been asking myself a question that keeps me up at night — not out of fear, but out of genuine curiosity. What do humans actually do when machines do everything better?
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