The Moonbeam team has made a radical decision — to fully migrate the GLMR token from the Polkadot parachain to the L2 network Base. The project is not just changing its infrastructure but also relaunching with a new strategic focus: its primary attention will now be on developing and supporting AI agents.
The bridge between the networks is already operational. The conversion of GLMR occurs at a 1:1 ratio, with the token transforming into a native ERC20 asset on Base. This is a key point: users no longer need to rely on cross-chain bridges to use GLMR in DeFi applications on Base — the asset becomes a full-fledged participant in this ecosystem.
What does this mean for GLMR holders?
For users whose funds are in DeFi protocols on Moonbeam, there is an important caveat: liquidity must be withdrawn before performing the migration via the bridge. Otherwise, assets may become locked or require additional actions. For GLMR holders on centralized exchanges, the process will happen automatically — exchanges will likely update the smart contracts.
This step is not just a technical upgrade. Moonbeam, which was originally created as an Ethereum-compatible parachain on Polkadot, is now betting on tighter integration with the Ethereum ecosystem through Base. The choice of Base is no coincidence: the L2 from Coinbase is actively attracting projects focused on AI and automation, which perfectly aligns with Moonbeam's new strategy.
My analysis: The migration from Polkadot to Base is a bold but logical move. Polkadot, despite its technological power, suffers from liquidity fragmentation and slow user base growth. Base, on the other hand, offers access to a vast pool of Ethereum liquidity and an active Coinbase audience. For Moonbeam, which is targeting AI agents, this could be a decisive factor for success — the Base ecosystem is already demonstrating high demand for such solutions. However, investors should closely monitor how the migration proceeds: any technical glitches during the conversion phase could cause short-term volatility in GLMR.