NAICS 7132
🎰

Gambling & Casinos

Casinos, online sports betting, lottery, and the broader gambling ecosystem — MGM Resorts, Caesars Entertainment, Wynn Resorts, Las Vegas Sands, plus DraftKings, FanDuel (Flutter), BetMGM, Penn Entertainment, and the rapidly-growing online-gambling segment. AI shapes risk management, responsible-gambling detection, fraud prevention, and increasingly personalized betting odds.

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🏭Industry Overview

Updated May 16, 2026

Gambling Industries (NAICS 7132) covers casinos, sports books, online gambling, lotteries, and other gambling operations. Major US casino operators include MGM Resorts International, Caesars Entertainment, Wynn Resorts, Las Vegas Sands (now exclusively focused on Macau and Asian markets after divesting Las Vegas Strip properties), Penn Entertainment, Boyd Gaming, and the tribal-gaming operators (Mohegan Sun, Foxwoods, Hard Rock). The online sports-betting and iGaming segment has grown explosively since the 2018 Supreme Court decision that struck down the federal sports-betting prohibition. DraftKings (NASDAQ: DKNG) and FanDuel (Flutter Entertainment, NYSE: FLUT) dominate US sports betting; BetMGM (a 50-50 venture between MGM and Entain), Caesars Sportsbook, Penn-with-ESPN (rebranded from Barstool Sportsbook), and Hard Rock Bet are the secondary players. The lottery segment includes the multi-state lotteries (Powerball, Mega Millions) plus state-operated lotteries. Combined US gambling-industry revenue exceeds $100 billion annually with online segments growing fastest.

🤖AI in Action

AI is being applied across gambling operations. Sports-betting AI is the most-developed application — DraftKings, FanDuel, and BetMGM all rely heavily on ML for in-play odds calculation, real-time line adjustment, and risk management against sharp bettors. Fraud-detection AI (Geocomply for geofencing, FraudLogix for payment fraud, Sumsub for KYC) is critical for online gambling. Responsible-gambling AI detects patterns of problem-gambling behavior (sudden bet-size escalation, deposit frequency, late-night sessions) — required by gambling-commission regulations in major jurisdictions. Customer-acquisition AI optimizes the famously expensive sports-betting marketing funnel. Casino-floor AI (NetEnt, IGT) optimizes slot-machine placement and increasingly powers personalized loyalty offers. Player-tracking AI on the casino floor (formerly facial-recognition + loyalty-card combined) drives the customer-experience-and-retention layer. Anti-money-laundering AI (NICE Actimize, Bridger Insight) is heavily deployed across casino financial operations. The newer wave: generative AI for personalized betting recommendations and AI-driven betting odds at the player-level.

📊Impact on Jobs

Casino operations employ ~700,000 US workers including dealers, hospitality, security, gaming-floor operations, and back-office functions. Dealer roles remain mostly stable due to the social-experience element (though some venues have piloted automated card games). Cocktail-server, valet, and hospitality roles are stable. Slot-attendant and pit-management roles are stable. Surveillance and AML roles are growing in absolute headcount. Customer-service for online gambling is heavily AI-augmented. Risk-management and trading roles at sports-betting platforms are growing rapidly — these are highly-paid quantitative roles competing with finance for talent. Marketing roles in online gambling are heavily AI-augmented. New roles: sports-betting-AI-trader, responsible-gambling-AI-analyst, AML-AI compliance specialist, casino-personalization-AI engineer. Traditional casino-host roles (managing high-roller relationships) remain insulated by the relationship value but the analytics behind them are heavily AI-augmented.

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