Slots are classified by their theme, design, the number of reels and paylines, as well as the existence of additional functions and proprietary mechanics. However, several technical parameters also directly affect the profitability of iGaming products.
The key characteristics of digital slot machines include:
Until recently, the mathematics of slot machines was “frozen”. Games had a fixed return percentage and a predictable level of variance. This approach helped providers plan the profitability of their casinos months in advance, but also made it unlikely to quickly respond to changes in audience behaviour.
In early 2015, manufacturers began to release video entertainment with flexible technical parameters. According to the developers (NetEnt, Microgaming, and Pragmatic Play), operators had to independently adjust volatility and RTP based on the characteristics of their startups.
In the 2020s, the idea of dynamic control has advanced even further. Special AI systems that allow entrepreneurs to adapt the parameters of slot machines to the behaviour of customers in real time have appeared in the market.
In classic iGaming solutions, RTP and variance are fixed and can only be changed by casino owners on rare occasions.
With the help of AI, the technical parameters of slots are no longer static:
Artificial intelligence and machine learning algorithms help entrepreneurs automate several key tasks:
Let us consider how such algorithms control the features of slot machines:
The implementation of AI analytics in slot settings is not just a technological innovation but an important strategic tool. It directly affects the profitability and sustainability of entertainment projects, making them more flexible, competitive, etc.
One of the main tasks of casino portals is to retain users. Most newcomers leave such virtual platforms after the first few sessions, especially if they fail to win or the gameplay seems too difficult.
AI algorithms adapt the parameters of slot machines depending on the current position of clients:
Lifetime Value and Average Revenue Per User are key metrics of any entertainment resource. Dynamic management of slot machine settings has a qualitative effect on these indicators, due to which the payback of gambling businesses also increases.
Content personalisation always increases LTV. Those players who see more winning moments on their screens are happy to make new deposits and return to the casino.
ARPU rises due to the growth in the duration of gaming sessions and the number of bets. Each bid becomes emotionally significant, due to which entrepreneurs get not just clients, but a valuable and involved audience.
Artificial intelligence algorithms can select slots with mathematics and mechanics that suit the style of users. This encourages them to try new products or modes and also directly affects the profitability of gambling brands.
The main reason for the departure of registered clients is a series of losses and a feeling of “bad luck”.
The AI system can smooth out such moments, thereby minimising customer churn:
Artificial intelligence algorithms track signals of possible departure (frequent pauses, decreased bids, closing the tab, etc.) and adjust the mathematics in real time. Thanks to this, people do not leave with a negative experience, but continue to play, feeling that there is always a chance to win.
An important aspect of dynamic management is maintaining the sustainability of the casino business.
iGaming portals do not “give away” extra money, but adjust RTP and volatility only within the specified rules. As a result, the profitability of entertainment projects is growing rapidly, as is the number of satisfied and maximally involved customers. Players get an honest and interesting experience, which builds their confidence in casino brands.
For regulators, the presence of a dynamic control system for slot machine parameters is a step towards a more transparent and safe betting industry, especially if such an AI program is supplemented with responsible gambling functions to monitor fraud and prevent the development of ludomania.
Let us consider how the leading government agencies interpret dynamic management of video slot metrics.
The UK Gambling Commission is one of the strictest in the world, including in relation to changing the parameters of entertainment products:
The EU gambling regulation is considered more flexible than in Britain, but it is necessary to take into account the requirements of the AML directives and the AI Act:
Regulation in this country (in Nevada, New Jersey, Pennsylvania, and other iGaming regions) is focused on checking the technical parameters of slot machines:
Let us consider how the adjustment of slot machine parameters is regulated in non-domestic zones:
The introduction of artificial intelligence in the gambling industry will inevitably lead to a transformation in the way slots are created and controlled.
Today, dynamic RTP and volatility management is an innovation available only in a limited number of jurisdictions. However, in the next 5–10 years, the market expects the mass implementation of customised slot mathematics. Neuroanalytics tools and new regulatory standards will play a key role in this.
Individual experience will become the norm, not the exception:
AI will be able to determine the mood of users (growing irritation, fatigue, etc.) and adapt the game’s difficulty level.
The model based on artificial intelligence will also take into account deposits, as well as reactions to bonuses and promotions. All this will ensure full integration of AI and slot machine parameters with the habits of each client.
Neurogaming will be one of the most anticipated innovations in the next 10 years. It will allow entrepreneurs to analyse the physiology of players in real time and automatically change the settings of video slots based on the data obtained.
Biometric sensors (cameras and other wearables) will read:
Thanks to this, neural interfaces will be able to record emotional peaks and involvement, and artificial intelligence will instantly adapt RTP and volatility.
Detailed reports created thanks to the technology will become a mandatory requirement for obtaining or renewing licences. Regulators will require detailed recording of all changes in return rate and variance, indicating the reasons for the innovations (for example, “an increased RTP by 0.5% to retain a beginning gambler”).
Independent laboratories (GLI, BMM, iTech Labs, etc.) will test AI models using the same principle as they currently test the random number generator. Besides, uniform standards for managing algorithms for the entertainment niche, similar to the EU AI Act, will appear.
Key aspects that operators should take into account:
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