Moats Built for Humans
Software moats—workflow lock-in, interface training, data silos—were built to stop humans. AI agents bypass all of it. The $300B wipeout was the market catching up to a structural shift.
Vijay S L
from India / 54 postsBased out of India, Tech Constant is my first attempt at writing. I chose to write on technology, having worked as an analyst, strategy consultant, product manager, and entrepreneur.
SaaS Repricing: What Everyone Gets Wrong About "Software Is Dead"
AI doesn't kill software demand—it kills software scarcity. When a vertical SaaS tool's price drops from $5M to $50K, competition, not substitution, becomes the silent killer. The software industry isn't dying. It's being sorted.
The Efficiency Trap: China Won The Cost Curve, The US Owns The Cash Register
Everyone's arguing about who's winning AI. Meanwhile, OpenAI made $20 billion and lost $14 billion. Chinese startups burn cash even faster. The uncomfortable truth? Neither side knows how to make money from this yet. They're just losing it differently.
The Bifurcation Thesis: Why There Is No Middle Ground In Digital Innovation
The most broadly diffused technologies in history have produced the most concentrated returns. This is not a bug—it is the system. You cannot half-build a platform. You cannot partially create a network effect. The middle ground is a strategic dead zone.
The Company That Watched Its Competitor Fail—And Did Worse
Volkswagen spent 5 years and billions of euros building software that never worked, then paid $5.8B to license Rivian's. The federated structure that enabled twelve brands systematically prevented building the unified system software-defined vehicles require.