Zero-Sum Game

Overview

Zero-sum means total value is fixed — one player's gain is another's exact loss. Most real-world competition is NOT zero-sum: the pie can grow, shrink, or be split in many ways. Misdiagnosis sends strategy in the wrong direction from step one. The most consequential error is zero-sum bias: the tendency to perceive non-zero-sum situations as zero-sum.

Neighbor skills: use prisoners-dilemma when confirmed non-zero-sum but cooperation keeps failing. Use strategic-commitment when genuinely zero-sum and you need credible deterrence. Use nash-equilibrium for the equilibrium solution in confirmed zero-sum settings.

When to Use

Apply this skill when: entering a competitive situation before determining whether total value is fixed; someone proposes a negotiation assuming "what I gain, you lose"; a market entry hinges on whether total market size is fixed; a policy analysis needs to assess whether an intervention redistributes or creates welfare; someone uses zero-sum language ("winner-take-all", "race to the bottom", "fixed pie"); or someone frames the AI race, AI capex/compute buildout, AI-talent competition, or AI-native market entry as a single winner-take-all contest and you need to separate the genuinely fixed inputs (near-term compute/talent) from the growing pie (AI-driven productivity and adoption).

When NOT to use: already confirmed zero-sum — go straight to minimax; clear cooperative surplus with no competitive distribution problem; stakes trivial and reversible; question already at equilibrium level — use nash-equilibrium directly.

Coaching Novices (Adaptive Front Door)

• Engine mode: user has a concrete case → run The Process directly.
• Coach mode: user is unfamiliar or has no concrete case → guide step by step.