Moku is betting big on the future of AI-driven entertainment. The Web3 development studio announced that it will commit $1 million in guaranteed rewards to kick off Season One of Grand Arena, its upcoming 24/7 daily fantasy platform powered by AI athletes.
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Grand Arena introduces a new market category where contests never stop. Instead of waiting for scheduled games, users can engage in nonstop matchups between AI-driven athletes. Prediction markets open around the clock, with the first competitors drawn from Moku’s Moki NFT collection.
Hantao Yuan, co-founder of Moku, explained the vision:
“We’re taking daily fantasy 24/7 with Grand Arena, laying the foundation for a new category of AI entertainment. Every match generates real-time insights for prediction, strategy, and market participation. By guaranteeing $1 million from day one, we’re signaling our strong belief that this category will rival traditional sports and prediction markets.”
Founded in 2021, Moku is backed by AI experts from MIT, IBM, and Johns Hopkins. The studio has already proven its reach in Web3, powering more than 8 million daily active users across launches and generating over $7 billion in cumulative fully diluted value. That distribution base gives Moku a strong position to scale Grand Arena beyond crypto-native communities and into mainstream fantasy sports and interactive wagering.
Grand Arena sits at the intersection of three booming industries: the $27 billion fantasy sports market, the $40 billion prediction market, and the $50 billion-plus AI gaming sector. By merging these spaces, Moku is positioning itself to define what AI-based fantasy competition looks like in the years ahead.
The rollout to Season One begins with a card pre-sale. Players will be able to purchase Booster Boxes featuring exclusive cards, while a Champion Selection process will highlight NFTs from the Moki Genesis collection. Selection criteria include community engagement and pre-sale participation, with featured Mokis earning royalties from future card packs and trading activity.