What is GMT (GMT)?

By CMC AI
25 May 2026 11:25PM (UTC+0)
TLDR

GMT is the native governance and utility token powering the STEPN move-to-earn app and the broader FSL (Find Satoshi Lab) ecosystem, designed to incentivize physical activity and enable real-world spending.

  1. Move-to-Earn Foundation – Users earn GMT by walking or running with NFT sneakers, blending fitness with crypto rewards.

  2. Governance & Staking – Token holders can stake GMT to participate in ecosystem decisions and earn rewards.

  3. Expanding Utility – GMT is burned for in-app features and used as payment for digital Mastercards via GMT Pay.

Deep Dive

1. Foundation in Move-to-Earn

GMT is the primary token of STEPN, a Web3 lifestyle app that pioneered the “move-to-earn” concept. Users purchase NFT sneakers and earn GMT tokens by walking, jogging, or running outdoors. This model incentivizes physical activity while integrating blockchain gaming (Game-Fi) and social elements (Social-Fi). The project initially launched on Solana and has expanded to a multi-chain ecosystem, including Polygon and BNB Chain (FSL Ecosystem).

2. Evolving Utility and Tokenomics

Beyond fitness rewards, GMT serves multiple functions within the FSL ecosystem. It is used for governance—staking GMT grants voting power on protocol upgrades. The token is also burned (permanently removed from supply) to access premium features like sneaker upgrades and minting. A significant development is the BurnGMT initiative, where the team repurchased and plans to burn 600 million tokens to reduce selling pressure. Additionally, GMT Pay allows users to convert crypto into spendable digital Mastercards, supporting tokens like USDC, USDT, and SOL for online and in-store purchases (FSL Ecosystem).

Conclusion

GMT is fundamentally a multifaceted token that bridges fitness motivation, on-chain governance, and real-world spending utility. As the FSL ecosystem grows, how will the balance between token burns, user adoption, and spending utility drive its long-term sustainability?

CMC AI can make mistakes. Not financial advice.