AI 算力經濟:從訂閱額度到自適應容量市場
AI Compute Economy: From Subscription Quotas to Adaptive Capacity Markets
Author: Neo.K
Affiliation: EveMissLab
Series Version: v1.0
Completion Date: 2026-09-07
Total: 8 main papers + 2 extras = 10 papers
Series Thesis
AI competition is evolving from model competition toward institutional competition over how intelligence is allocated.
本系列從 AI 訂閱額度、時間碎片化與 API/訂閱割裂出發,逐步建立 Temporal Fungibility、Compute Wallet、Reversible Entitlement、Demand Engineering、Capacity Transparency、Investor Compute Fundamentals 與 Adaptive AI Compute Market,最後將整套方法形式化為跨產業制度移植與 Institutional Recombination。
Papers
- AI 訂閱制的制度錯位:當曆法時間不再等於智能消耗
- 額度的時間可替代性:月算力、Burst 與集中式工作
- 訂閱、API 與 Compute Wallet:AI 混合計價制度
- 閒置額度、轉讓與供應商回購:AI 使用權的可逆性
- 從 Rate Limiting 到 Demand Engineering:離峰折扣與 AI 需求響應
- 算力透明度作為控制介面:從黑箱限流到容量可觀測市場
- 算力透明度作為投資工具:AI 企業的新基本面
- AI 市場的制度演化:從商品化到容量市場
- Extra 1 — Token 消耗症候群:到期額度如何反向塑造人的認知行為
- Extra 2 — 跨產業制度移植:AI 產業其實不用每件事重新發明
Core Architecture
Membership+Compute Wallet+Temporal Fungibility+Burst Control+Demand Response+Capacity Transparency
with:
Capital→Capacity→Usage→Economic Output
and methodological closure:
Validated Institutional Fragments+New Constraints+Recombination=New Institutional Architecture
Canonical Source Policy
All formal papers are stored as UTF-8 Markdown source artifacts. Mathematical source uses only canonical $...$ and $$...$$ delimiters. The chat rendering is not the canonical source.