Robot hand and human hand pointing toward glowing AI letters on digital background.
Photo by Igor Omilaev on Unsplash

Slips, a social peer-to-peer (P2P) betting platform, has launched AI-generated prediction markets, enabling users to bet on a range of topics, including sports, politics, and pop culture.

According to the company’s announcement, its AI system will scan trending data and automatically generate new markets for emerging events. It will then audit and resolve outcomes in real time “to ensure fairness and transparency.”

Founder and CEO Jess Richman framed the launch as a milestone for P2P wagering: “Prediction markets are the natural evolution of peer-to-peer gaming, and AI is the engine that makes it limitless.”

Richman added: “By removing the house, empowering our users, and tapping into generative AI, we’re creating the world’s most dynamic, scalable, and social real-money betting experience.”

With AI-generated prediction markets, Slips claims possibilities are endless. The company also announced that the markets will soon extend into futures, commodities, and politics.

What’s Slips?

Founded in 2021, Slips labels itself as a “no house” alternative to traditional sports betting sites. Instead of betting against an operator, users bet directly against one another in social formats such as:

  • Heads Up: one-on-one, winner-takes-all wagers.
  • Pools: community pots where the winners split the prizes.
  • Tourlays: tournament-style parlays spanning multiple events.

Slips’ platform includes various social features, such as leaderboards, chat, and communities. The company claims the social layer drives higher engagement and retention than house-run sportsbooks.

With the new AI-generated markets, Slips aims to further increase engagement by providing users with fresh contests without requiring manual setup.

Slips is backed by venture capital firms, professional sports team owners, Web3 pioneers, and six-time World Series of Poker champion Jason Mercier. The company claims to have more than 150,000 registered users, whom it refers to as “Slippers.” It says it has paid out over $6 million in total winnings to date.

Part of a Broader Peer-to-Peer Betting Wave

Slips’ push into AI-generated markets comes as P2P wagering platforms surge in popularity, from real-money models like Slips to sweepstakes-based sports exchanges like Novig.

While they take different approaches, they share core traits: social competition, no-house structures through user-vs-user wagering, and liquidity challenges.

Novig has primarily focused on sports, positioning itself as a P2P prediction exchange with markets like player props, point spreads, and futures. A key difference in Novig’s business model is that it operates under a sweepstakes structure. It offers virtual tokens that can be redeemed for cash prizes, similar to sweepstakes casinos.

That has allowed Novig to launch in several states without sports betting laws. It has also made the platform vulnerable to regulatory shifts.

As the sweepstakes casino model is facing scrutiny across the US, Novig has felt the impact. In August, it withdrew from New Jersey after the state banned dual-currency gambling. Previously, Novig had to exit Arizona after it was a target of a crackdown on sweepstakes platforms in July.

At the same time, several daily fantasy operators, such as PrizePicks and Underdog Fantasy, have also shifted to P2P-style formats as a way to operate in more jurisdictions and avoid some of the scrutiny the sweepstakes casinos face.

Slips, by contrast, uses real-money P2P wagering. The addition of AI-generated markets, which encompass topics beyond sports, further distinguishes the two.

That could give Slips a variety of advantages. Still, it could also expose it to scrutiny as it dips into political and financial outcomes, where legal definitions are ambiguous.

Prediction Markets are Rapidly Evolving

The rise of platforms like Slips and Novig is part of a larger surge in the popularity of prediction markets. These platforms have blurred the lines between gambling, social gaming, and financial derivatives, allowing them to operate in all US states.

Early markets, such as the Iowa Electronic Markets and PredictIt, were academic experiments. Crypto-based platforms such as Polymarket later brought real-money event trading into the mainstream, offering markets on elections, weather, and celebrity events.

Meanwhile, Kalshi took a different path. It became a federally regulated “event contracts” exchange overseen by the Commodity Futures Trading Commission (CFTC). That allows it to offer markets on elections, economic indicators, and sporting events.

While the latter has become the majority of its trading volume, Kalshi continues to avoid being treated as a gambling platform due to its federal oversight.

Slips is not the first prediction market platform to integrate AI. Both Polymarket and Kalshi have partnered with Elon Musk’s xAI to integrate its Grok artificial intelligence system into their platforms.

Grok serves as a real-time assistant on each platform. It helps users analyze information such as economic indicators and financial trends to make more informed predictions.

Slips’ automated market generation aims to go further than helping users. It generates fresh prediction markets tied to whatever is dominating the headlines that hour.

That shows how far the sector has drifted from its roots. What began as niche academic forecasting experiments is rapidly evolving into a sprawling, algorithm-driven ecosystem—and it continues to grow.

Chavdar Vasilev

Chavdar Vasilev is a journalist covering the casino and sports betting market sectors for CasinoBeats. He joined CasinoBeats in May 2025 and reports on industry-shaping stories across the US and beyond, including...