AI Strategy

Discover how Demis Hassabis mapped out a 20-year plan for solving complex problems in AI and protein folding, emphasizing strategic foresight.

Discover how the Builder economy is reshaping roles and why 'Pay by Result' is the key to thriving in the AI era.

Japan's immigration crackdown signals a shift in the AI economy, where elite talent becomes the new priority over volume labor.

The prompt engineering arms race is over. For frontier models like Fable 5, Claude, and Codex, the winning approach is the CROCC framework: Context, Request, Output Format, Constraints, Checkpoint. James Huang explains why shorter, mission-style prompts outperform 800-word templates.

AI redefined the threshold where humans become valuable. Using the physics concept of Fermi level, James Huang argues that human effort below a certain capability threshold has negative marginal value compared to AI. Only when human + AI exceeds AI alone does value become exponential.

AI is not the internet—it has escalating marginal cost, not zero. James Huang explains why the winners will treat digital workers as disposable cannon fodder, running parallel experiments with portfolio logic. The geopolitical math is brutal: silicon is draining carbon, and the predation window is open but finite.

Accenture's leaked recording revealed PDF-to-PPT as their biggest token burner. This is Goodhart's Law in action: when token consumption becomes a KPI, employees optimize for burning tokens. James Huang explains why measuring AI usage instead of outcomes creates perverse incentives—and what to do instead.

Delve into the concept of understanding debt in AI coding, where clean code can lead to catastrophic misalignments and fragile systems. Discover strategies to combat this issue.