> For the complete documentation index, see [llms.txt](https://trading-labs.gitbook.io/aifinbotx/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://trading-labs.gitbook.io/aifinbotx/aifinbotx-whitepaper-en/revenue-distribution/9.2.-buyback-and-burn.md).

# 9.2. Buyback and Burn

### Token Buyback & Burn — 20%

The platform uses part of its revenue on a regular basis to:

* Buy back tokens from the market
* Burn part of the token supply

The buyback and burn mechanism is a long-term value regulation system in the AIFinBotX token economy. It turns real ecosystem revenue into market support and strengthens long-term scarcity by reducing supply.

Its core goal is clear: **support value with real revenue and reinforce stability through supply control.**

***

### 1. Mechanism definition

#### 1. Buyback

The ecosystem uses part of its real revenue to buy AIFX from the market.

Revenue can come from:

* AI trading revenue
* GPU compute revenue
* Payment system fees
* Travel and lifestyle revenue

#### 2. Burn

Tokens acquired through buybacks can be burned permanently and removed from circulation.

Burn methods can include:

* Smart contract auto-burn
* Transfer to a burn address
* Scheduled burn programs

***

### 2. Buyback execution

#### 1. Scheduled buyback

* Executed daily, weekly, or monthly
* A fixed share of revenue is allocated to buybacks

#### 2. Dynamic buyback

* Buyback intensity adjusts with market conditions
* Buyback scale can increase when revenue grows

#### 3. Event-based buyback

* Major ecosystem upgrades
* User growth milestones
* Revenue breakout moments

***

### 3. Burn design

#### 1. Auto burn

Smart contracts can execute burn logic automatically.

#### 2. Governed burn

The DAO or governance system can decide burn size.

#### 3. Revenue-based burn

Burns can be tied to ecosystem revenue:

* One part for buybacks
* One part for burns
* One part into the treasury


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