# Feasibility and Challenges

Implementing AI faces hurdles such as:

* Large-scale data processing
* High computational costs
* Latency limitations
* L1/EVM constraints
* Data quality
* AI model security
* Reliability
* Balancing transparency with competitive edge

Especially challenging is performing real-time AI inference on-chain, which may require hybrid on-chain/off-chain architectures. Allowing AI Agents to create Vaults and power the AI Forge also demands strong governance, risk control, and robust security measures.
