As artificial intelligence continues to dominate the global technology agenda, the gaming industry is rapidly increasing adoption. However, the industry is still struggling to convert deployment into tangible business results. The “State of AI in Gaming 2026” report is produced by the UNLV International Gaming Institute through AiR Hub in collaboration with KPMG. It provides a comprehensive view of how AI is being used across operators, suppliers, regulators, and startups. In addition, it highlights a persistent gap between adoption and impact.
AI Becomes a Strategic Priority Across the Industry
The report shows that artificial intelligence has become a core strategic focus in 2026. More than 80% of gaming companies are already implementing some form of AI, particularly generative tools. Despite this widespread adoption, overall business impact remains limited.
On average, organisations score around 45 out of 100 in AI maturity. This indicates that most are still in early or mid-stage implementation. While AI is increasingly embedded in operations, it is not yet fully integrated into decision-making processes. Also, it is not directly tied to revenue growth.
Security and Operations Lead AI Use Cases
AI adoption is most advanced in technology operations, security, and product development, where it is already delivering measurable efficiencies. In security, it is widely used for fraud detection, transaction monitoring, and anti-money laundering compliance. In operations, AI streamlines workflows and reduces costs, while in product development it enhances user experience through data-driven optimisation.
However, these improvements remain incremental rather than transformational, with limited effect on overall revenue structures.
Marketing Gains Undermined by Weak Measurement
In commercial applications, AI is primarily used in marketing and CRM functions, supporting customer segmentation, automated campaigns, and conversion optimisation. Yet the report highlights a major weakness: around 25% of companies lack clear performance metrics to evaluate AI-driven outcomes.
As a result, many initiatives remain tactical rather than strategic, limiting their ability to scale or generate long-term value.
ROI Remains the Industry’s Biggest Challenge
The most critical finding is the ongoing return on investment gap. Only 20% of companies report meaningful ROI within two years, underscoring a disconnect between AI investment and realised benefits.
Many projects remain stuck in pilot phases, failing to scale across organisations. While AI is widely adopted, it is not yet fully embedded into the core economic engine of most gaming businesses.
Online Operators Pull Ahead of Land-Based Firms
The report also identifies a growing divide between digital-first and land-based operators. Online companies demonstrate significantly higher AI maturity, supported by scalable data infrastructure and automation-ready systems.
In contrast, land-based operators continue to face challenges linked to legacy systems and operational rigidity. This impacts personalisation, efficiency, and player retention.
Regulatory Uncertainty Slows AI Expansion
Regulation is emerging as another key constraint. Many regulators report limited visibility into how AI is deployed within gaming environments. Meanwhile, fewer than half of jurisdictions have established or are developing AI-specific frameworks.
This regulatory uncertainty is slowing more advanced use cases and creating compliance ambiguity for operators expanding AI capabilities.
Responsible AI Still in Early Stages
Despite rapid adoption, responsible AI practices remain underdeveloped. Nearly one-third of companies still lack formal AI governance policies. Also, only a small fraction have fully integrated responsible AI frameworks.
Fewer than 20% of organisations have dedicated governance structures in place. This raises concerns around transparency, accountability, and compliance in a highly regulated industry.
Innovation Rises but Remains Concentrated
Innovation activity continues to grow, with AI-related patent filings in gaming increasing from 15 in 2010 to over 100 in 2025. This growth is largely driven by US-based companies. Investment in startups and academic research is also expanding. However, it is concentrated among larger players with greater resources.
More advanced applications, including agentic AI systems, remain in early development stages due to regulatory and trust-related concerns.
Execution, Not Adoption, Is the Real Challenge
Ultimately, the report highlights a clear conclusion: the gaming industry does not have an AI adoption problem, but an execution problem. While AI is widely deployed across the sector, it has yet to consistently translate into sustainable value creation.
Going forward, operators that successfully scale AI across revenue generation, operational efficiency, and compliance will gain a competitive advantage. Those unable to bridge the execution gap risk remaining stuck in experimentation with limited commercial impact.
