> 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/roadmap.md).

# Roadmap

### Phase 1 | AI finance engine (Q3 2026)

**Positioning: the first form of an AI finance system**

* Launch the AI Trading Engine
* Run the automated strategy system
* Establish risk control models
* Form the initial community and capital pool

At its core: **AI begins to enter the financial execution layer**

***

### Phase 2 | Compute economy network (Q4 2026)

**Positioning: productivity infrastructure**

* Build a distributed GPU network
* Launch AI training and inference markets
* Offer enterprise compute services
* Create a resource trading mechanism

At its core: **compute becomes a tradable asset**

***

### Phase 3 | Payment system integration (Q1-Q2 2027)

**Positioning: the layer that connects finance and the real world**

* Launch the Crypto Card payment system
* Build a global settlement network
* Integrate merchant payment access
* Standardize Web3 financial circulation

At its core: **digital assets enter the real economy**

***

### Phase 4 | Global economic network (Q3-Q4 2027)

**Positioning: a networked economic system**

* Scale the AI finance system
* Integrate the global payment network
* Deploy multi-region ecosystem nodes
* Run DAO governance systems

At its core: **a global financial network begins to take shape**

***

### Phase 5 | AI economy infrastructure (Q1-Q2 2028)

**Positioning: a system-level economic layer**

* AI financial systems operate autonomously
* Global compute resource scheduling is in place
* Web3, AI, and the real economy are integrated
* Decentralized economic governance is established

At its core: **it becomes a next-generation economic operating system**


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