A short briefing on how power actually shifts in an AI world
This is not a demo. It’s an orientation to the strategic layer most AI conversations never reach.
Most AI failures are not technical
Smart teams are building models, automations, and copilots—and still losing leverage.
Not because the technology is wrong. Because they misunderstand how advantage concentrates once AI enters a system.
AI does not distribute power evenly. It amplifies a small number of positions, roles, and decisions—while quietly commoditizing the rest.
Most leaders feel this happening. Few can explain it. Fewer can act on it deliberately.
What the laws are
A law describes a recurring pattern in how leverage accumulates when AI is introduced into an organization, market, or ecosystem.
These laws are not tools. They are not prompts. They are not predictions.
They are structural patterns. They operate whether you understand them or not.
This course codifies 50 such laws—drawn from real systems, incentives, and failures, not trends.
Who this is for
Founders
- Deciding which AI bets actually compound
- Avoiding products that get copied in months
- Turning AI into pricing power, not just cost savings
Executives
- Allocating talent and capital without hype-driven thrash
- Understanding why AI transformation often weakens organizations
- Restructuring decision-making, not just tooling
Investors
- Distinguishing durable advantage from AI wrappers
- Spotting second-order leverage early
- Understanding which moats survive model commoditization
This is not for prompt collectors, tool tourists, or anyone looking for shortcuts.
What changes once you see the laws
- You stop chasing tools and start allocating leverage.
- You recognize when AI will commoditize you—and when it will protect you.
- You make fewer irreversible bets with incomplete understanding.
- You gain language for decisions you already felt but couldn’t justify.
This is not about doing more with AI. It’s about doing fewer things that actually matter.
What’s included
- 50 concise video laws
- Downloadable PDFs and summaries
- Structured modules with progress tracking
- Updates during your access period
Self-paced. High signal. Designed to be revisited.
What leaders say
“This gave me language for decisions I was already making blind.”
— Founder, B2B SaaS
“I stopped evaluating AI by demos and started evaluating it by leverage.”
— Executive, Enterprise
“It clarified why several AI initiatives failed—and why one succeeded.”
— Operator