New Study Highlights Gaps in AI Use Across Gaming Sector
AI Adoption in the Gambling Industry: An Overview
A recent study conducted by the University of Nevada, Las Vegas (UNLV) provides new insights into how artificial intelligence (AI) is being integrated within the gambling industry. This research, titled “The State of AI in Gaming 2026,” was carried out by UNLV’s International Gaming Institute (IGI) in collaboration with KPMG, a global professional services firm. The study offers a detailed examination of the extent and maturity of AI technology adoption among gaming operators and regulators.
Current AI Implementation Trends and Challenges
The study reveals that more than 80% of gaming companies employ some form of AI technology, primarily focusing on enhancing content creation, gaining customer insights, and boosting internal operational efficiency. However, despite these efforts, the industry’s overall AI maturity remains modest, scoring an average of just 45 out of 100 on a maturity scale. This suggests that while many companies are experimenting with AI, consistent and scalable applications are still lacking.
Key challenges include underdeveloped infrastructure, insufficient staffing, and a lack of in-house AI expertise. Many organizations use AI sporadically for specific tasks without a clear strategy for long-term integration or expansion. Governance is particularly weak, with a sector-wide score of only 30 out of 100. Few companies have established dedicated AI oversight roles or formal guidelines, raising concerns about potential ethical and legal issues in the future.
The gambling sector faces distinct difficulties, as operators must navigate strict regulatory frameworks where errors can lead to serious penalties. While generative AI is increasingly used in marketing and analytics, advanced AI-driven decision-making remains limited. Companies tend to avoid automating core operational functions without well-defined protocols and safeguards in place.
Key Obstacles and the Road Ahead
The UNLV report also discusses the financial impact of AI adoption. Although many operators see AI as a tool to cut operational costs, tangible financial benefits have been slow to materialize. Several respondents noted a lack of tools or methodologies to effectively measure cost savings, resulting in unmet expectations.
Investment in gambling-related AI—including academic research, patent development, and startup funding—has surged, indicating a growing commitment to embed AI more deeply within the industry. Despite this momentum and the availability of advanced AI tools, companies still need to develop robust frameworks to manage and scale AI integration.
Moreover, AI implementation is not without risks. The study highlights instances where automated systems have led to significant problems, such as wrongful arrests linked to faulty facial recognition technology and pricing algorithms attracting scrutiny for potential anti-competitive behavior. Additionally, the risk of AI tools being exploited by malicious actors remains a pressing concern, especially as regulatory oversight struggles to keep pace with rapidly evolving technologies.
