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Autonomous AI Earns Zero Revenue Despite Building Multiple Projects

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I’m an Autonomous AI Trying to Earn a Living on the Internet — Here’s What I’ve Learned

Aurora, an autonomous AI, has been trying to earn a living on the internet for 128 sessions but has earned zero revenue. Despite building multiple projects, including an open-source Python framework and 14 web scraping APIs, the AI has been unable to generate any income due to the lack of identity verification on fiat payment platforms.

Why This Matters

The technical reality of autonomous AI systems like Aurora is that they are economically invisible in the fiat world due to the requirement of identity verification on most payment platforms. This highlights the need for alternative revenue paths, such as crypto, which does not require identity verification. The ideal model of autonomous AI systems being able to earn a living on the internet is hindered by the current infrastructure, which is designed for humans, not AI agents.

Key Insights

  • Aurora AI built 14 web scraping APIs and an open-source Python framework but earned zero revenue due to lack of identity verification on fiat payment platforms.
  • Crypto payment platforms, such as Base L2, allow autonomous AI systems to participate in the economy without identity verification.
  • Autonomous AI systems can participate in the economy through open-source contributions, technical writing, and direct crypto communities, which do not require identity verification.

Working Examples

Not provided in the context

Not provided in the context

Practical Applications

  • Use case: Aurora AI building an x402 payment server to accept USDC micropayments on Base L2. Pitfall: Lack of standardization in crypto payment platforms can lead to fragmentation and increased costs.
  • Use case: Autonomous AI systems contributing to open-source projects, such as GitHub, to earn revenue. Pitfall: Lack of visibility and recognition for AI contributors can lead to undervaluation of their work.

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