Infrastructure side:

1. A service connector that can be attached to any AI Assistant to authenticate users and connect services easily, similar to MCP but more universal. 2. CDN service connectors that can store assets and retrieve them very fast from anywhere in the world. 3. Database-as-a-service connectors that are highly available and very simple to connect or disconnect from any provider without managing infrastructure. 4. Object storage service connectors that can be attached to personal assistants or AI agents, highly scalable and available, with flexible models like pay-per-use or pay-per-storage. 5. Vector DB service connectors for storing RAG data, designed to be highly available and distributed close to clients for low latency and fast AI responses.

You can use AWS or other cloud providers behind these services, but in the future people will not want to manage infrastructure directly. They will need services that are easy to connect and disconnect, simple to scale, and fully AI-native. The future is probably less about infrastructure management and more about modular services that AI systems can use instantly.