Gambling Sites Roll Out AI Tools That Predict Wins and Track Bets for Sports Fans

AI agents are getting in on the action of online sports gambling.

What’s new: Several startups cater to betting customers by offering AI-powered sports analysis, chat, and tips, Wired reported. Some established gambling operations are adding AI capabilities to match.

How it works: Most AI sports-betting startups analyze which bets are the most statistically likely to pay off based on publicly available data. Increasingly, agents suggest specific bets. Only a few take bets from users and pay winnings to them, and fewer offer agents that actively place bets on third-party web sites on a user’s behalf.

Monster.bet hosts MonsterGPT, a GPT-style chatbot that uses retrieval-augmented generation (RAG) to gather sports data from across the web while a proprietary algorithm predicts winners. The chatbot allows bettors to ask questions, and a history function tracks the results of bets they place and tailors its analysis to their strategies. Access to Monster costs $77 a month.
Rithmm, based in Massachusetts, allows users to create their own “prediction models” using no-code tools. It also focuses on “prop bets” (not whether a team will win a game, but whether a player will achieve a particular outcome like score a touchdown). Subscriptions start at $30 a month.
With roots in fantasy sports, FanDuel is an older sports-betting operation that has integrated AI. Unlike many competitors, it takes bets and pays winnings. The mobile app integrates a chatbot called AceAI that helps users construct bets that require more than one event to occur; for example, that football champions Argentina will win a particular match and their star Lionel Messi will score at least one goal.
Sire (formerly DraiftKing [sic]) uses an agentic approach. AI agents currently have limited access to bank accounts and other payment services like PayPal or Venmo, so Sire’s agents place bets using a crypto wallet. This enables an agent to react to events within a match and place bets automatically faster than a human can. For example, if a tennis player serves an ace, an automated bet can be made that the next serve will also be an ace. But instead of placing separate bets by individual bettors, Sire sells shares to customers who divide any profits from a wide range of bets.
Few other betting agents have succeeded. The blockchain platform Zilliqa developed an agent called Ava for picking horse-race winners but abandoned it because synchronizing the agent, crypto wallets, and betting sites — all of which operate independently — was too slow. Some other purportedly agentic tools, including one called WagerGPT, collapsed under inflated promises.

Behind the news: Most AI gambling startups are based in the United States, where online betting recently became legal. In 2024, Americans bet over $150 billion on legal sports wagers, up 22 percent from 2023. The share of online betting has grown steadily from 25 percent of the total in 2024 to 30 percent in 2025 and shows no sign of slowing down.

Why it matters: Online gambling is an AI laboratory that uses nearly every emerging element of the technology. It requires quantitative reasoning to analyze bets, RAG to scour sports statistics and other relevant information, classification models to identify potentially profitable bets, and payment agents to place bets automatically. As these technologies advance, betting analysis and tools will advance with them.

We’re thinking: Whether you gamble with cash or just wager your time and energy, learning more about AI is a smart bet.