Key Takeaways
- Gate AI and XYO are launching Crypto Cards, a daily game that pits users’ crypto price predictions against an AI model and other players.
- The product will use Gate market data for outcomes and XYO Layer One to record predictions, creating a verifiable record of each round.
- The launch comes as prediction markets hit record activity, with Kalshi, Polymarket and Polymarket US processing $50.6 billion in July.
Gate is extending its push into prediction products through a partnership between Gate AI and blockchain data network XYO, this time adding artificial intelligence to the mix.
The companies announced on Sept. 1 that they are developing XYO Crypto Cards, a daily crypto prediction game in which users compete against Gate AI and other participants.
Unlike a conventional prediction market, where traders buy and sell contracts based on a market-implied probability, Crypto Cards uses a head-to-head format.
Each day, XYO will randomly select three crypto assets from a pool of tokens listed on Gate. Gate AI will make its predictions first, while players will have 24 hours to predict whether the same assets move higher or lower and assign them to different multiplier slots.
Gate market data will determine the result, while players’ selections will be recorded on XYO Layer One before the prediction window closes.
“At Gate US, we believe AI will play an increasingly important role in shaping the future of digital assets—not simply through individual features, but by enabling more intelligent connections between users, information, and digital asset ecosystems,” Laura Liu, COO of Gate US, told CCN.
Gate Adds AI After Polymarket and Event Contracts
The partnership adds another format to Gate’s rapidly expanding prediction business.
In March, Gate became the first centralized crypto exchange to integrate Polymarket directly into its app, initially launching the service in public beta.
It followed that in July with its own Event Contracts, which let users predict short-term movements in crypto prices over periods ranging from five minutes to four hours. Unlike leveraged futures, those contracts use fixed-outcome pricing without margin calls or liquidation.
Crypto Cards differ again. There is no consensus market price for users to trade against. Instead, the AI model becomes one of the competitors whose forecasting record can be compared with that of human players.
Gate AI will supply the AI predictions, while its Model Context Protocol provides the market data used to settle outcomes.
“XYO Crypto Cards gives everyone a simple and engaging way to participate in market prediction. By combining AI technology with XYO Layer One’s verification infrastructure, we are creating a new type of interactive digital asset experience.” Arie Trouw, co-founder and CEO of XYO, told CCN.
Prediction Markets Are Getting Much Bigger
The timing comes as event-based trading moves well beyond its 2024 election-driven boom.
Kalshi, Polymarket and Polymarket US generated a combined $50.59 billion in trading volume in July 2026, a record and up about 7.8% from June.
Bernstein expects prediction-market volume to reach around $240 billion in 2026 and potentially $1 trillion annually by 2030.
Growth has also brought more scrutiny. US regulators are examining market integrity and insider-trading risks, while disputes continue over whether certain sports-event contracts fall under federal commodities law or state gambling rules.
Why XYO Is Recording the Predictions
XYO launched its data-focused Layer One blockchain in September 2025, targeting applications that need verifiable records for AI, logistics and other data-heavy systems. The company says its wider DePIN network has more than 10 million nodes.
For Crypto Cards, the blockchain’s role is narrower: to record what each participant predicted before the result is known, creating a timestamped history that can be checked later.
The companies said they are also exploring further combinations of AI, market data and blockchain infrastructure. For now, Crypto Cards offers a more immediate test: whether crypto users want to compete with AI on market calls rather than simply trade against other people.
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The information provided in this article is for informational purposes only. It is not intended to be, nor should it be construed as, financial advice. We do not make any warranties regarding the completeness, reliability, or accuracy of this information. All investments involve risk, and past performance does not guarantee future results. We recommend consulting a financial advisor before making any investment decisions.
Dr. Guneet Kaur is a senior editor at CCN.com and a Science Fellow at Exponential Science. She is a fintech and blockchain expert with extensive experience in digital finance education, blockchain ecosystems, and cryptocurrency markets. She has worked with global media such as Cointelegraph, as well as education and blockchain platforms, to design and lead strategic content and learning initiatives. As an educator and assessor for top-tier executive programs, she bridges real-world fintech trends with academic insight.
Dr. Kaur is also a published researcher and peer reviewer across fintech and data science journals, including Financial Innovation Journal and International Journal of Big Data Intelligence and Applications. Her work spans data-driven analysis, Web3 innovation, and technical content development. With a strong foundation in both industry and academia, she translates complex financial technologies into practical applications, empowering learners, professionals, and institutions across the rapidly evolving digital finance landscape.
