> 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/what-problems-does-the-market-face/3.2.-building-infrastructure-for-the-ai-era.md).

# 3.2. Building Infrastructure for the AI Era

Its long-term goal is to become an **AI infrastructure layer**.

Over the next decade, the global economy will be driven by three core infrastructure layers:

* AI compute infrastructure
* Financial infrastructure
* Value transfer infrastructure

AIFinBotX is building a system that brings all three together.

***

### Why does AI need new infrastructure?

AI development faces three key bottlenecks today:

#### 1. Compute is centralized

GPU and compute resources are concentrated in a few major technology companies. This makes participation difficult for individuals and smaller businesses.

#### 2. Financial tools are too complex

Traditional financial tools have high barriers. Everyday users cannot easily use AI for asset management and risk control.

#### 3. Use cases remain fragmented

AI, finance, and payment systems still operate separately. There is no unified ecosystem that connects them to the real world.


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