Autonomous Decision Making
Medium
- Category
- Excessive Agency
- Content
- International Energy Agency (2025). *Energy and AI* (World Energy Outlook Special Report), published April 2025. IEA, Paris. Documents the 2024–2025 scale-up of AI compute and data-center demand, and the physical constraints (power, hardware supply, lead times) that bound near-term capacity — useful for grounding the "near-term compute is a fixed input" side of the AI zero-sum diagnosis. https://www.iea.org/reports/energy-and-ai - Stanford HAI (2025). *Artificial Intelligence Index Report 2025,* published April 2025. Stanford Institute for Human-Centered AI. Tracks model performance, investment, adoption, and compute trends through 2024 — the widely cited public baseline for the state of AI competition, capital expenditure, and the concentration of frontier capability and talent. https://hai.stanford.edu/ai-index/2025-ai-index-report **What is not cited and why:** Popular business writing frequently attributes the phrase "zero-sum game" to competitive strategy without checking whether the specific situation meets the mathematical definition. Claims that "competition is always zero-sum" or "negotiation is always zero-sum" are asserted but unverified. This skill uses the mathematical definition from Von Neumann and Morgenstern as the anchor, not intuitive usage.
- Confidence
- 22% confidence
- Finding
- Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
