By Stephen Crystal
Kambi’s latest update may be remembered as one of the clearest signals yet that sportsbook trading is entering a new phase.
The regulated B2B sportsbook supplier reported first-quarter 2026 revenue of €43.5 million, up 4.9% year-over-year, while adjusted EBITA excluding acquisition-related items increased 63.5% to €5.7 million. Operating profit also improved sharply to €4.2 million, compared with €0.8 million in the prior-year period.
Those numbers matter, but the bigger story is not just financial. It is operational.
Kambi CEO Werner Becher told NEXT.io that Kambi’s pricing capabilities for the 2026 FIFA World Cup will be 100% AI automated, with the tournament fully priced and risk-managed by the company’s AI trading system. He also said 60% of Q1 bets across Kambi’s network were powered by AI, up from 49% in 2025.
That is a major statement for the global sportsbook industry. The World Cup is not a small test environment. It is one of the highest-volume betting events in the world, with international liquidity, unpredictable customer behavior, massive in-play demand, and intense operator pressure. If Kambi can fully automate pricing and risk management for that event, it changes the benchmark for what sportsbook infrastructure is expected to deliver.
AI Trading Is Moving From Efficiency Tool to Core Infrastructure
For years, automation in sportsbook trading was viewed primarily as an efficiency layer. It helped operators scale, reduce manual errors, expand market coverage, and keep more events live.
Kambi’s latest position goes further. The company is now framing AI trading as central infrastructure.
According to Becher, football is already fully on AI, with tennis, basketball, and ice hockey now being rolled out. Kambi has also described its system as sports-agnostic, built on proprietary models and trained across billions of bet tickets from its network.
That network effect is important. In B2B sportsbook technology, data depth can become a competitive moat. The more markets a supplier prices, the more bet tickets it sees, the more live trading scenarios it processes, and the more its models can improve.
This is where Kambi is trying to separate itself. The company is not simply saying it has AI tools. It is saying AI will become the operating layer behind pricing, trading, risk management, margins, combinability, and customer experience.
The Business Case Is Clear
The commercial logic is obvious.
A fully automated trading model can price more markets, support more bet combinations, respond faster to live events, and reduce the cost burden of manual trading desks. For operators, that can mean better market depth, longer live uptime, faster settlement, improved margins, and a more modern customer experience.
Kambi’s Q1 numbers support that narrative. Revenue returned to growth, operating expenses declined 2.1%, total expenses were broadly flat, and adjusted EBITA margin improved to 13.0%, up from 8.4% a year earlier.
That is exactly what suppliers want to show investors and partners: technology investment translating into margin expansion.
The World Cup adds another important angle. The 2026 tournament will be hosted across the United States, Canada, and Mexico, giving it a uniquely strong Americas footprint. Becher noted that roughly 60% of Kambi’s turnover comes from Americas time zones, making this tournament especially attractive for the company and its operator partners.
For a global B2B supplier, the World Cup is not just a sports event. It is a technology showcase.
Commercial Momentum Reinforces the Strategy
Kambi’s AI push is happening alongside important commercial wins.
The company recently launched with PMU in France, the country’s horse racing monopoly, and Becher said the launch is performing well. Kambi also announced it was selected by Atlantic Lottery Corporation and British Columbia Lottery Corporation to power a multi-province Canadian sportsbook solution, extending its reach into seven of Canada’s ten provinces.
That matters because Kambi’s regulated-market positioning remains central to its identity. Government-linked lotteries and public operators do not just evaluate product quality. They evaluate integrity, compliance, uptime, trust, and long-term reliability.
This is where Kambi’s AI strategy becomes more than a margin story. If the company can convince state-affiliated and regulated operators that its AI trading system is reliable enough for major global events, it strengthens its position in the most defensible segment of the sportsbook supply chain.
But Full Automation Comes With Real Risk
The excitement around AI trading should not erase the risk.
Sportsbook trading is not only a math problem. It is also a judgment problem.
Data feeds can fail. Injury information can move unevenly. Weather, officiating, lineup rumors, social media speculation, and unusual betting patterns can all create situations where a model may react quickly but not wisely. If many operators rely on similar automated inputs or vendor systems, a bad signal can spread across the market faster than a human desk would have allowed.
There is also the black-box issue. Regulators, operators, and customers will increasingly ask why a market moved, why a bet was limited, why a suspicious pattern was not flagged, or why pricing failed during a volatile moment. “The system decided” will not be enough.
That is why the strongest future model is unlikely to be purely machine-led or purely human-led. It will be hybrid.
AI should handle scale, speed, pricing depth, and routine risk decisions. Human trading and compliance teams should remain responsible for escalation, judgment, intervention, auditability, and accountability.
The Human Desk Is Not Dead
The industry should be careful not to confuse automation with replacement.
AI can price thousands of markets faster than any human team. But humans still understand context in ways that models may not. A viral rumor, a suspicious account pattern, an unusual market move, or a local regulatory issue may require judgment beyond automated execution.
The best sportsbook operators will not simply ask how much trading can be automated. They will ask where human oversight creates the most value.
That means active override capabilities, data-feed verification, sharp-bettor detection, model audits, fairness reviews, responsible gaming protections, and clear compliance documentation. Automation can create efficiency, but governance creates trust.
This is especially important for B2B suppliers. If an operator is relying on a third-party AI trading system, it must understand how decisions are made, how risks are escalated, and how failures are reviewed. Vendor lock-in becomes a strategic risk when the trading brain of the sportsbook sits outside the operator’s direct control.
Prediction Markets Add Another Layer to the Debate
Kambi’s update also lands at a moment when the broader sports wagering ecosystem is under pressure from prediction markets.
Becher reportedly dismissed prediction markets as having no material impact on Kambi’s regulated U.S. business, while Kambi has previously indicated that entering prediction markets could create licensing concerns in multiple U.S. jurisdictions.
That position is notable. While some companies are exploring prediction-market structures as a parallel path into event-based trading, Kambi appears to be doubling down on the regulated sportsbook lane.
That could prove to be a strategic advantage. As prediction markets face scrutiny from state regulators, tribal gaming leaders, the American Gaming Association, and lawmakers, suppliers with a clean regulated-market identity may become more attractive to lotteries, tribes, casinos, and licensed operators.
In other words, Kambi is not trying to blur the line between sports betting and financial event contracts. It is trying to make regulated sportsbook trading more efficient, scalable, and defensible.
The Bigger Industry Lesson
Kambi’s 100% AI-traded World Cup plan is not just a Kambi story. It is a signal for the entire sportsbook industry.
The next phase of competition will not only be about who has the best front-end app, the biggest marketing budget, or the broadest market access. It will also be about who has the best trading infrastructure.
Operators will need deeper markets, faster pricing, smarter risk controls, stronger margins, and more flexible bet combinability. Suppliers will need to prove that their automation improves performance without creating unacceptable compliance or operational risk.
AI trading will be central to that future. But the winners will be the companies that pair machine speed with human accountability.
The Bottom Line
Kambi’s Q1 2026 results show a company returning to growth, improving profitability, and using AI as a core strategic lever. The financial performance is encouraging, but the real headline is the company’s commitment to fully automated World Cup trading.
If Kambi delivers, the 2026 FIFA World Cup could become a defining proof point for AI-led sportsbook operations.
But the industry should view this moment with both excitement and discipline. Automation can expand markets, improve margins, and transform the customer experience. It can also magnify errors, create black-box compliance challenges, and expose operators to new forms of systemic risk.
The future of sportsbook trading will not be man versus machine. It will be the operators and suppliers that know how to combine both.
