Business Strategy

All of human civilization has always followed the same underlying structure: ideas are abundant, but execution is what creates value. For most of history, the ability to get things done determined who won and who didn’t. Everyone knows what kinds of activities are considered useful—working out, learning a foreign language, reading, building products, starting projects. And everyone also knows this: wanting to do something is rarely the bottleneck. The real constraint has always been execution. Companies are built around execution. Management exists to keep execution from going off track. Salaries exist to make people willing to execute. Education exists to give people the ability to execute. Venture capital invests in execution as well. You have an idea, I have an idea—who gets the money? The one who can make it real. After Agents, a single person with a single weekend can build what previously required an entire team working for half a year. Everyone now has nearly unlimited execution power. We have entered the age of spectacle. At this moment, “getting things done” has shifted from being a scarce resource to basic infrastructure. And once that happens, we are forced to rethink the question of value: what, exactly, is still worth something? ...

“Singularity Crossing” — that’s probably the most accurate way to describe where AI development stands right now. AGI may not be here yet. But after humanity invented Claude Code, Opus 4.5, and OpenClaw, the singularity effectively arrived. The word “singularity” comes from mathematics and physics. In math, a singularity is the point where a function blows up — like 1/x at x=0, where the value shoots toward infinity and the rules that governed everything before suddenly stop working. The center of a black hole is also a singularity, where all known laws of physics break down. Once the singularity hits, every rule we knew becomes void. All of humanity’s accumulated experience, institutions, and instincts — none of it can tell us what comes next. It’s like standing outside a black hole’s event horizon: no information escapes from inside. Every rule fails. Every prediction fails. No science fiction writer ever imagined a world where intelligence is no longer scarce. Just as humans can’t picture what the inside of a black hole looks like. What happens next? No one knows. It can’t be predicted. ...

A Critical Analysis of Citrini Research’s Viral 2028 Crisis Scenario The financial world is currently grappling with a thought experiment that feels uncomfortably close to reality. In a viral research piece titled “THE 2028 GLOBAL INTELLIGENCE CRISIS” published by Citrini Research (co-authored with Alap Shah), the authors paint a chilling picture: unemployment at 10.2%, the S&P 500 down 38% from its October 2026 peak, and an economy where AI’s productivity gains have paradoxically triggered the deepest structural crisis since the Great Depression. Written as if from June 2028, this speculative scenario has exploded across investment communities, racking up millions of reads within days of publication. What makes it particularly unsettling is not its dystopian framing, but its logical coherence. This isn’t science fiction—it’s financial analysis written in the language of cause and effect. Source: Citrini Research - THE 2028 GLOBAL INTELLIGENCE CRISIS The Core Mechanism: A Self-Reinforcing Doom Loop At the heart of Citrini’s crisis scenario lies a deceptively simple feedback loop: AI capability improves → Companies lay off workers → Consumer spending falls → Corporate profits compress → Companies buy more AI to cut costs → AI capability improves ...

Introduction Most of what we learned in the Internet era is no longer compounding. DAU is losing relevance. SaaS is no longer the growth engine it once was. The attention economy is in structural decline. The classic path from tools to platforms is breaking down. The term “AI application” no longer describes what is actually being built. Network effects. Communities. Platforms. SaaS. Applications. Attention economy. These concepts once formed a shared framework for understanding technology and business. We used them to design products, explain strategy, and communicate with investors. But more and more often, it becomes clear that the world these concepts describe is no longer the center of gravity. Not because the Internet suddenly disappeared, but because its core assumptions are no longer where growth comes from. The Internet era was built on one fundamental premise: Humans are the users of software. That premise is now eroding. A new one is taking its place: Agents are becoming the primary operators of software. This is not a sudden collapse. It is a gradual handover. ...