Until recently, the question in iGaming was whether AI was a temporary trend or a future business growth need. According to the 2026 iGaming Trends report by SOFTSWISS, AI has become a standard part of industry operations: 350+ professionals rated its importance at 8.41 out of 10 in 2026, only slightly up from 8.15 in 2025. The small year-on-year difference proves the point – AI maintains a consistently high level of importance and is now considered a steady iGaming requirement.
Across the industry, that shift is most visible in game development, player protection and CRM processes. For example, earlier, player protection worked like a smoke detector – useful, but only after something had already caught fire. In 2026, AI-powered models can track individual players and detect warning signs in betting patterns continuously. Behaviour-driven models train on individual data, enabling more timely and precise intervention rather than the broad flagging typical of earlier systems.
Data Rewrites Rules of Game Design
Companies that analyse slot streaming integrate AI-enhanced tools to replace intuition in game design with data-driven decisions. For example, Strmlytics analyses more than 10,000 hours of Twitch, Kick, and YouTube content each month, tracking which features attract players' attention and which visual elements influence audience engagement.
BGaming, in partnership with Strmlytics, applied collected insights directly into its Aztec Clusters. In its first 30 days, the game achieved 6 million minutes of total reach. By the end of the year, airtime has increased by 25%, and reach by 14%.
The approach to the RTP and volatility changed in the same way: game mathematicians set these parameters, but they were working from models with limited real behavioural data underneath them. With access to large-scale player data, today's settings can be calibrated against how games are actually played.
AI-Powered Models Analyse Player Journey in Real Time
AI integration has expanded CRM from a campaign execution tool into a system that supports retention decisions through segmentation, personalisation and bonus optimisation.
For example, Optimove has embedded AI predictive models to guide campaign processes and anticipate player behaviour. Optimove's AI Decisioning Studio acts in real time, while the player is still in the session, without waiting for a human intervention. According to Optimove’s 25 Customer Engagement Trends For 2025, AI-powered journeys delivered an average 33% uplift in customer lifetime value for operators.
Denis Romanovskiy, Chief AI Officer at SOFTSWISS, notes:
"At SOFTSWISS, we introduced AI to automate the processing of large volumes of payment provider messages, which previously had to be handled manually. Document preparation
time decreased from approximately 4 hours to 20 minutes, and one employee can now handle 2–3x more cases."
AI Tools in Cybersecurity: Both the Shield and the Threat
The cybersecurity landscape in iGaming is also changing: AI-powered tools push operators beyond compliance to strategic risk management. AI-based fraud detection enables the analysis of suspicious transactions and behaviour, allowing earlier and more accurate responses. For example, Sumsub applies Graph Neural Networks to player behaviour and device history. The detailed data lets them detect fraud patterns that rule-based systems cannot.
Eleni Panagiotopoulou, Head of AML at SOFTSWISS, describes those changes in practice:
"Instead of blocking users based on rigid rules, it analyses behaviour and flags only genuinely suspicious activity, which reduces false positives and simplifies KYC/AML checks."
At the same time, data volume and complexity of cybercrimes grow, placing demands on operators to strengthen security measures.
Early 2025 made this tangible. TipSport, one of the largest betting operators in the Czech Republic, reported a sharp spike in account takeovers and automated bot activity. The tools behind those attacks – deepfake voices, synthetic identities, AI-generated documents – were built specifically to defeat KYC checks.
In addition, the Anti-Phishing Working Group logged more than 1,003,000 phishing attacks in Q1 2025 alone. That is 180% higher than the equivalent period in 2023. According to the GASA Global State of Scam 2025 report, an estimated $442 billion was lost to scams in 2024.
The 2026 iGaming Trends report by SOFTSWISS outlines established strategic ground actions for cybersecurity in 2026:
- Staff training and regular phishing simulations
- Defined payout limits with automatic verification
- DDoS and API protection
- Behavioural monitoring
- Device binding
- Authentication that does not punish legitimate users for the sins of bad actors.
How AI is Reshaping Roles and Expectations Within iGaming Teams
According to the 2026 iGaming Talent Trends report by SOFSTWISS, 8 in 10 iGaming companies surveyed are now actively using AI tools. This affects both employers and employees, raising questions about how roles are changing rather than simply disappearing.
Globally, AI accounted for 27% of the 184,000 tech-sector layoffs in 2025, according to a report from Silicon Valley Business Journal. However, the shift is more about tasks than entire jobs. The World Economic Forum 2025 report highlights that AI is reshaping specific responsibilities, not eliminating whole careers. The boundary between what people do and what machines handle is moving, and in iGaming, it moves fast.
The market demonstrates the demand for people who can oversee AI output: the ability to critically assess what a model produces has become a professional skill. The 2026 iGaming Talent Trends report indicates that teams without strong AI oversight risk falling behind as these tools take on more responsibility.
In engineering, knowing how to use AI has quietly become a baseline requirement. That shift has created room for what are being called "new-collar" roles – technically skilled positions, like Data Annotators, that do not require a four-year degree but do require precision and consistency to support how AI systems are trained and used.
Denis Romanovskiy explains:
"It's not easy to change the approaches and mindsets of teams that have been doing excellent work for years when a new technology turns their established principles upside down. That’s why the market demands AI professionals, capable of implementing new technologies and building support among employees.”
Marharyta Kamolava, Head of QA at SOFTSWISS, adds:
"Technical expertise alone is not enough – you need to know how to work with AI without letting it do your thinking for you."
AI is IGaming's New Baseline
In 2025, operators were still deciding whether to invest in AI. In 2026, that decision is largely made: AI became an unofficial requirement for game development, CRM, and cybersecurity. The question changed to how to operate with AI effectively.
The gap between operators with mature AI integration and those still in exploratory stages has become measurable. It shows up in performance data, headcount decisions, fraud exposure, and player retention. According to the 2026 iGaming Trends report by SOFTSWISS, operators should focus on four pillars: infrastructure, standards, business metrics, and integration.
- Infrastructure: reliable data pipelines, model monitoring, and version control that support continuous updates
- Standards: clear processes for testing models before deployment, especially in areas affecting compliance and player safety
- Business metrics: measuring outcomes such as campaign performance, fraud reduction, and player lifetime value rather than technical accuracy alone
Integration: connecting AI across marketing, payments, compliance, and game development, using shared data instead of isolated tools.
