Kambi Trading Head Details AI Integration and Expanded Markets Ahead of 2026 World Cup

Ryan Hughes, head of trading at Kambi, shared details in a recent interview about how operators can prepare for the 2026 FIFA World Cup that begins on June 11, and the discussion centers on technology shifts plus format changes that will affect pricing models and bet types across the 39-day schedule. Hughes points to the complete rollout of AI systems that handle both pre-match pricing and live betting adjustments, and these tools allow trading teams to process larger data volumes while maintaining accuracy during high-volume periods when matches occur in quick succession.

AI Systems Transform Pricing and In-Play Markets

The interview explains that AI-powered trading now covers full match cycles from initial odds setting through to real-time updates, and this approach reduces manual intervention while operators handle simultaneous games across multiple venues. Hughes notes that the technology enables faster responses to in-game events such as goals, substitutions, and momentum shifts, which in turn supports more stable pricing structures even when betting volumes spike during evening match windows.

Operators gain access to automated risk management layers that monitor thousands of micro-markets at once, and the systems flag anomalies before they escalate into larger exposures. This capability becomes particularly relevant when the tournament expands to 48 teams and generates additional fixtures that stretch across different time zones.

Data Expansion Fuels Player Props and Custom Bet Builders

Hughes highlights how enhanced data feeds now support a wider array of player props, and these include granular statistics on touches, pass completion rates, and defensive actions that were previously difficult to price consistently. The interview describes how Bet Builder tools allow bettors to combine multiple outcomes within single selections, and the combinability increases engagement without requiring operators to create every possible permutation manually.

Data providers supply richer event tracking that feeds directly into pricing engines, and this integration lets trading desks launch new prop categories quickly as the tournament progresses. Hughes indicates that the same data infrastructure supports cross-market correlations, so operators can offer combined bets that span team results and individual performances while maintaining balanced books.

48-Team Format Creates New Opportunities

The move to 48 teams means more matches overall, and Hughes explains that this structure introduces fixtures involving teams with less historical data available compared to traditional powerhouses. Trading teams must adapt pricing models to account for these variables, and AI systems help bridge gaps by incorporating broader performance indicators such as recent form and squad depth metrics.

Additional matches spread across the schedule create extended periods of live betting activity, and operators can leverage the same AI tools to manage overlapping games without increasing headcount. Hughes notes that lesser-known sides often produce higher volatility in early rounds, which opens pathways for differentiated prop offerings that appeal to bettors seeking variety beyond standard match winners.

Premium Offerings for Operators and Bettors

The interview outlines how these combined elements allow operators to deliver more sophisticated products throughout the event, and premium features include dynamic Bet Builder interfaces that update in real time alongside AI-adjusted odds. Hughes emphasizes that the technology stack supports both retail and online channels, so operators can maintain consistent market depth whether users access through mobile apps or venue-based terminals.

Expanded match counts also mean more opportunities for tournament-long accumulators and stage-specific props, and data integration ensures these markets remain available without manual oversight. The 39-day duration provides sustained activity that benefits from automated trading layers capable of handling continuous updates across multiple competitions running in parallel.

Conclusion

Hughes presents these developments as practical steps that operators can implement ahead of the June 11 start date, and the focus remains on scalable technology that accommodates both the larger field and the increased demand for customizable betting options. The interview provides a roadmap centered on AI adoption, data utilization, and format-specific planning that shapes how markets will function during the expanded tournament.