# Deflationary Access Fees

<figure><img src="/files/rHlzdK3kxIkFbYUsfHKc" alt=""><figcaption></figcaption></figure>

OpenVision integrates deflationary mechanics directly into platform usage to drive long-term
\
token scarcity and alignment between utility and burn.

* **Burn Mechanics:** A portion of every paid API inference or training job is paid in
  \
  $VISION is burned automatically, reducing the circulating supply and anchoring value to
  \
  usage.
* **Dynamic Fee Multiplier:** The burn rate can be dynamically adjusted via DAO
  \
  governance based on network traffic, token supply, and ecosystem maturity.
* **USDC Surcharge Model:** Enterprises paying in USDC incur a premium unless
  \
  holding a required $VISION balance, encouraging on-chain participation, and
  \
  Reducing selling pressure.
* **Periodic Burn Proposals:** The DAO can propose and execute additional token burns
  \
  burns from protocol revenue or unused treasury allocations.

These mechanics ensure that as model adoption scales, so too does the deflationary
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pressure on $VISION, making it a self-reinforcing digital commodity tied to AI
\
infrastructure demand.


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