The latest study from the University of Nevada, Las Vegas (UNLV) examines how artificial intelligence is taking root across the gambling industry and whether operators and regulators are equipped to meet rising challenges. The study, titled The State of AI in Gaming 2026 and produced by the university’s International Gaming Institute (IGI) in partnership with audit, tax, and advisory firm KPMG, presents an in-depth view of AI technology adoption in the gaming sector.
Implementation Remains Unfocused
According to the report, over 80% of surveyed companies use some form of AI. Operators mostly aimed to enhance content generation, customer insights, and internal efficiency. Despite these results, the study found that ambition rarely led to consistent improvements. On a 100-point scale measuring AI maturity, the industry averaged just 45 as companies struggle to establish systems for long-term use.
Infrastructure, staffing, and internal expertise largely remain underdeveloped. Companies mostly experiment with AI for specific use cases without plans to scale implementation. Governance is another weak link, as the study assigns it a score of 30 out of 100 for the gaming sector. Very few companies have dedicated AI oversight positions and formal AI guidelines, risking future legal or ethical problems.
Society is at an inflection point with AI, and until now, there has been no rigorous, independent baseline for understanding where the gambling industry stands.
Kasra Ghaharian, IGI director of research
The gambling industry presents some unique challenges. Operators must comply with strict regulations, and missteps could result in severe punishments. While generative AI has found a foothold in marketing and analytics, more advanced decision-making systems remain rare. Companies appear reluctant to automate operational processes without clear operational guidelines and protection mechanisms.
The Industry Must Overcome Some Notable Hurdles
The UNLV report also examines some of the financial benefits associated with AI. While most companies view the technology as a way to reduce operational costs, few respondents have seen meaningful returns. Many operators even admit that they lack the tools to calculate potential savings as expectations fail to materialize.
Academic research, patent filings, and startup investment tied to gambling-related AI have all increased sharply in recent years. Such efforts mean that the technology will become more deeply embedded across all levels of a business. Overall, the tools are in place, the interest is high, but companies have yet to establish effective frameworks.
AI is not without risks. Researchers described multiple cases where automated systems caused real damage. In one case, faulty facial recognition contributed to a wrongful arrest. In another, pricing algorithms used by hotel operators drew scrutiny due to potential coordination. The use of these tools by malicious entities poses another challenge as oversight struggles to keep up with innovations.