> For the complete documentation index, see [llms.txt](https://roborus.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://roborus.gitbook.io/whitepaper/features-and-capabilities/6.9-multi-earning-opportunities.md).

# 6.9 Multi-Earning Opportunities

Roborus is designed as an **incentive-rich ecosystem**, providing multiple ways for participants to earn, whether or not they own robots. This ensures that the platform attracts a wide variety of contributors.

Earning paths include:

* **Renting Robots**: Robot owners can lease their machines to take on jobs.
* **Running AI Models Locally**: Everyday users contribute computing resources for model validation and testing.
* **Referrals**: Participants earn rewards for inviting new clients, robot owners, or developers to the ecosystem.

By offering **diverse participation methods**, Roborus avoids the exclusivity problem common in robotics networks. Instead, it becomes a **multi-sided economy** where individuals, enterprises, and developers can all earn in ways that fit their resources and expertise.