Recently, discussions about AI agents in the community have been particularly heated, especially open-source agent frameworks like Little Crayfish (Openclaw). I see more and more people deploying their own Little Crayfish to automate daily tasks, truly freeing their hands. This reflects a fundamental shift in AI development.

Traditional AI tools are actually just assistants—ChatGPT can chat, GitHub Copilot can suggest code, but the actual task execution still relies on humans. Little Crayfish is different; it can directly take over computer operations. Automatically organizing files, sending emails, batch processing Excel, managing social media, even writing code and executing tasks. This means AI has evolved from "being able to talk" to "being able to do."

More importantly, Little Crayfish has three key features: open source allows any developer to further develop skills; local deployment enables users to run it on their own computers; heartbeat mechanism ensures the AI agent runs continuously rather than just one-time commands. Simply put, ordinary people now have their first 24/7 digital employee.

This is not just a technological breakthrough but also a huge economic opportunity. Gartner predicts that by 2030, 80% of enterprises will deploy AI agents, and McKinsey estimates that AI automation could generate an economic increment of $13 trillion. If just 1% of tasks are settled on-chain, that’s an initial scale of $130 billion.

But a core issue arises: when thousands of Little Crayfish start working and earning money, how is this money settled? Traditional payment systems are simply not suitable for machine-to-machine transactions. AI agents need a machine-to-machine payment system—an economic system that requires no human intervention.

This is exactly where ROBO’s value lies. As the native token launched by Fabric Foundation, ROBO provides a unified settlement layer for AI agents and the robot economy. It has three core functions: first, a settlement base—task bounties, skill markets, and compute rental among AI agents are all settled with ROBO, with a fixed total supply of 10 billion tokens that will not be inflationary. Second, identity and payment layer—AI agents on-chain have verifiable identities and credit, no longer relying on banking systems. In the future, we might even see scenarios where virtual AI hires real robots—Unitree quadruped robots, UBTech humanoid robots—joining this unified economy. Third, incentives and governance—developers, nodes, and enterprises can all earn economic returns; protocol revenue is used to buy back ROBO, and holders participate in governance and staking.

Currently, ROBO’s market performance is priced at $0.02, down 1.27% in 24 hours, with a circulating market cap of $41.32 million. This price reflects the market’s initial valuation of this new narrative.

Looking back at the development trajectory of AI, it’s quite clear: 2023 brought ChatGPT with conversational capabilities, 2024 introduced Copilot with AI tools, 2025 saw the emergence of automated information processing, and now in 2026, Little Crayfish demonstrates the real ability of digital employees. What about 2027? AI agents will automatically handle information processing and repetitive labor, while humans focus on creation. This transformation is happening, and perfecting the economic settlement layer is an inevitable next step.