Prediction Markets vs. US Gambling: What the AGA Exodus Means for Crypto Users

Did you know that 81% of US gaming executives now see prediction markets as a “very significant” threat to their industry? This isn’t just insider drama—it’s a seismic shift that directly affects how crypto-based platforms like Polymarket and Kalshi operate in the United States. Over the past six months, four major sportsbook operators—DraftKings, FanDuel, Fanatics, and bet365—have left the American Gaming Association (AGA), the industry’s primary trade group, largely over disagreements about prediction markets. For crypto users, this means the regulatory landscape for blockchain-based betting platforms is changing rapidly. This guide explains what prediction markets are, why traditional gambling companies are fighting them, and what the upcoming Senate hearing on May 20 means for your ability to use these platforms legally.

Read time: 8-10 minutes

Understanding Prediction Markets for Beginners

Prediction markets are platforms where users buy and sell contracts based on the outcome of future events—like who will win a sports game, an election, or even a movie award. Think of it like a stock market, but instead of trading shares in a company, you’re trading “shares” in whether a specific event will happen. If you think a team will win, you buy a contract; if you’re right, you profit. If wrong, you lose your investment.

Why were these created? They solve the problem of forecasting uncertain events by leveraging collective intelligence. The theory is that market prices reflect the combined wisdom of all participants, often producing more accurate predictions than polls or experts. In practice, platforms like Polymarket (built on the Polygon blockchain) and Kalshi (a regulated CFTC exchange) allow anyone to participate using crypto or fiat currency.

A real-world example: Before the 2024 US presidential election, Polymarket saw over $3 billion in trading volume on election-related contracts. Users could buy “shares” predicting either candidate would win, and the market price fluctuated based on news, polls, and public sentiment. This demonstrated how prediction markets can function as real-time information aggregators—though regulators remain concerned about their similarity to sports betting.

The Technical Details: How Prediction Markets Actually Work

Prediction markets operate on a fundamentally different model than traditional sportsbooks. Here’s how they compare:

1. Market-Based Pricing: Unlike sportsbooks that set fixed odds, prediction markets use automated market makers (AMMs) or order books to determine prices based on supply and demand. If more people bet on “Team A wins,” the price of that contract rises automatically.

2. Smart Contract Settlement: On blockchain-based platforms like Polymarket, outcomes are determined by decentralized oracle networks (like UMA or Chainlink) that verify real-world events. This eliminates the need for a central authority to decide who wins—the code does it automatically.

3. Secondary Trading: Users can buy and sell prediction contracts at any time before the event concludes. This creates liquidity and allows traders to lock in profits or cut losses mid-event, similar to trading stocks.

4. Position Limits and Liquidation: Some platforms set maximum position sizes to prevent market manipulation. If an event outcome becomes extremely likely (99%), positions on the losing side may be automatically liquidated.

Why this structure matters for you: The decentralized nature of prediction markets makes them harder for regulators to shut down. Unlike a centralized casino that can be raided, a blockchain-based platform’s smart contracts continue functioning even if the company behind them faces legal pressure. This resilience is both a feature (censorship resistance) and a risk (limited recourse if something goes wrong).

Current Market Context: Why This Matters Now

The battle between prediction markets and traditional gambling has reached a critical inflection point. According to the AGA’s Q1 2026 industry survey, 81% of senior gaming executives now view prediction markets as a “very significant” risk. This fear has triggered a realignment of lobbying power:

Four major operators left the AGA in the past six months: DraftKings (November 2025), FanDuel (November 2025), Fanatics (December 2025), and bet365 (March 2026). DraftKings and FanDuel launched their own prediction products—DraftKings Predictions (live in 38 states since December 2025) and FanDuel Predicts (pilot in 5 states).

Kalshi spent $615,000 on federal lobbying in 2025, while Polymarket spent $360,000. They’ve also formed the Coalition for Prediction Markets, which includes Coinbase, Crypto.com, Robinhood, and Underdog. This coalition plans to spend “millions” in 2026 defending the CFTC-regulated framework.

The Sports Betting Alliance (SBA) now carries the lobbying weight for the country’s largest online sportsbooks, led by former AGA executive Joe Maloney. This creates a fractured lobbying landscape where the AGA represents only retail casino interests.

The next major regulatory test comes on May 20, 2026, when the Senate Commerce Subcommittee holds its first hearing directly addressing prediction markets. Subcommittee Chair Marsha Blackburn plans to deliver a recommendation framework before the August recess, with the Senate Commerce and Banking Committees expected to reconcile competing approaches before the 2026 midterms.

Competitive Landscape: How Prediction Markets Compare to Traditional Sportsbooks

Feature	Traditional Sportsbooks (DraftKings, FanDuel)	Prediction Markets (Polymarket, Kalshi)	Crypto Gambling Platforms (Stake, BC.Game)
Regulatory Framework	State-by-state licensing; highly regulated	CFTC-regulated (Kalshi) or unregulated/offshore (Polymarket)	Mostly unregulated, offshore jurisdictions
Asset Type	Fiat currency	USDC (Polymarket), fiat (Kalshi)	Cryptocurrencies (BTC, ETH, USDT)
Pricing Mechanism	Fixed odds set by bookmaker	Market-driven via AMMs or order books	Usually fixed odds or house-banked
Settlement	Centralized, by operator	Smart contracts (Polymarket) or CFTC rules (Kalshi)	Centralized, by casino operator
User Control	Limited; operator controls payouts	High; code determines outcomes	Moderate; operator controls funds
Key Risk	State-level prohibition; operator solvency	Regulatory crackdown; oracle manipulation	Rug pulls; lack of consumer protection

Why this matters: Prediction markets represent a “third way” between traditional regulated sportsbooks and unregulated crypto casinos. They offer the transparency of blockchain (Polymarket) or the legitimacy of federal regulation (Kalshi), while avoiding the state-by-state licensing nightmare faced by sportsbooks. However, they also face unique regulatory uncertainty—the question of whether event contracts constitute illegal gambling or legitimate financial derivatives.

Practical Applications: Real-World Use Cases

How can crypto users actually use prediction markets? Here are concrete scenarios:

Event-Based Trading: Buy contracts on sports outcomes, election results, or economic indicators. For example, Polymarket offers markets on “Will Bitcoin reach $100K by June 2026?”—allowing you to express your market view and potentially profit.

Hedging Personal Exposure: If you’re traveling to a major event, you could buy prediction contracts to hedge against outcomes that would affect you personally (e.g., “Will my team win the championship?”).

Information Gathering: The prices on prediction markets can serve as real-time sentiment indicators. Some traders use Polymarket odds to gauge market confidence in Fed rate decisions, earnings reports, or regulatory changes.

Arbitrage Opportunities: When prediction market odds differ significantly from traditional sportsbook odds, sharp traders can arbitrage between the two platforms—though this requires sophisticated execution and capital.

Community Governance: Some DAOs use prediction markets to forecast protocol upgrades, treasury management decisions, or security incidents, leveraging the wisdom of the crowd.

Who benefits most: Active traders looking for alternative markets, crypto-native users who prefer on-chain platforms, and information seekers who want real-time sentiment data without relying on polls or news media.

Risk Analysis: Expert Perspective

Primary Risks:

1. Regulatory Risk: The biggest threat. The Event Contract Enforcement Act, Prediction Markets are Gambling Act, and Prediction Markets Security and Integrity Act of 2026 could all restrict or ban sports-related contracts federally. The Senate hearing on May 20 will set the tone for future regulation.

2. Market Manipulation: Unlike regulated exchanges, prediction markets can be vulnerable to “whale” manipulation where large traders distort prices. The Maduro commando case—where a US Army master sergeant bet $400K on Polymarket against his own raid mission—illustrates how insider information can be exploited.

3. Oracle Failure: Blockchain-based prediction markets rely on oracles to report real-world outcomes. If an oracle reports incorrect data (due to hack, collusion, or error), smart contracts could settle incorrectly, causing widespread losses.

4. Liquidity Risk: Smaller markets can have thin liquidity, making it difficult to enter or exit positions without significant slippage.

Mitigation Strategies:

Platform Selection: Use CFTC-regulated platforms like Kalshi for maximum legal clarity, or established blockchain platforms like Polymarket with proven oracle infrastructure.
Position Sizing: Never allocate more than you can afford to lose, especially in illiquid markets.
Multi-Oracle Verification: Prefer platforms that aggregate data from multiple independent oracles rather than relying on a single source.

Expert Consensus: The regulatory landscape is genuinely uncertain. While no one expects an immediate ban on all prediction markets, the industry faces a critical juncture in 2026. The Coalition for Prediction Markets’ heavy lobbying spend suggests they take the threat seriously, but the bipartisan nature of gambling regulation makes outcomes hard to predict.

Beginner’s Corner: Quick Start Guide to Prediction Markets

1. Understand the Regulatory Status: Check if prediction markets are legal in your jurisdiction. In the US, Kalshi is CFTC-regulated; Polymarket operates offshore. Do not assume legality.

2. Choose Your Platform: For maximum regulatory clarity, use Kalshi (fiat-based) or Polymarket (crypto-based). For crypto-native users, Polymarket offers USDC deposits and self-custody via smart contracts.

3. Fund Your Account: On Polymarket, you’ll need USDC (a stablecoin) in a wallet like MetaMask. On Kalshi, you can deposit fiat via bank transfer.

4. Select a Market: Browse available contracts. Start with high-liquidity markets (e.g., major sports events, presidential elections) where spreads are narrow and manipulation risk is lower.

5. Place Your Trade: Specify the contract, direction (buy “yes” or “no”), and amount. Execute the trade and monitor your position. You can exit early by selling your contract to another trader.

6. Withdraw Profits: On Polymarket, winning positions can be withdrawn to your wallet as USDC, then swapped for other crypto or fiat. On Kalshi, withdrawals go to your linked bank account.

Common Mistakes to Avoid:

Trading on markets with <$10K liquidity (high manipulation risk)
Failing to verify oracle sources before trusting a market
Over-allocating to a single event, especially one you have personal information about (could be illegal insider trading)

Future Outlook: What’s Next

The next 12 months will define the regulatory trajectory for prediction markets in the US:

May 20, 2026 Senate Hearing: The Commerce Subcommittee hearing will feature AGA president Bill Miller, Tennessee Sports Wagering Council executive director Mary Beth Thomas, and former House Financial Services Committee Chairman Patrick McHenry (now a Coalition for Prediction Markets advisor). The outcome will signal whether Congress sees prediction markets as gambling or derivatives.

Pre-Recess Framework: Subcommittee Chair Blackburn plans to deliver a recommendation framework before the August 2026 recess, which could include position limits, reporting requirements, or outright bans on sports-related contracts.

Post-Midterms Legislation: Both the Senate Commerce and Banking Committees are expected to reconcile competing approaches before the 2026 midterms consume Congress’s attention. This creates a tight window for legislative action.

State-Level Responses: The Arizona case (temporarily standing down on Kalshi prosecution) shows that state attorneys general may take individual action even without federal guidance. Expect more state-level battles.

The key unknown is whether Congress will classify prediction market contracts as “gambling” (state-regulated, potentially banned) or “derivatives” (CFTC-regulated, allowed with oversight). The outcome will determine whether platforms like Polymarket and Kalshi can operate freely, face strict regulation, or get effectively banned in the US.

Key Takeaways

Prediction markets are disrupting traditional gambling by offering market-based pricing, blockchain settlement, and secondary trading—drawing regulatory scrutiny as 81% of gaming executives view them as a major threat.
The AGA has lost four major members (DraftKings, FanDuel, Fanatics, bet365) in six months over prediction market disagreements, fragmenting the lobbying landscape ahead of key regulatory battles.
The Senate will hold its first prediction market hearing on May 20, 2026, with a recommendation framework expected before August—this could determine whether platforms like Polymarket and Kalshi face strict new rules or outright bans.
Regulatory uncertainty is the biggest risk for prediction market users; choose CFTC-regulated platforms (Kalshi) for legal clarity, but understand that even these face existential legislative threats.
The Coalition for Prediction Markets includes major crypto players like Coinbase and Robinhood, signaling significant industry resources committed to defending the regulatory framework—but bipartisan gambling opposition makes the outcome uncertain.

“datePublished”: “2026-05-09”,

“dateModified”: “2026-05-09”,

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