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Mykhailo Zborovsky: AI is Changing the Nature of Gambling Platforms
Artificial intelligence is no longer a technological exotic – it is already paving the way to the very heart of online gambling. In 2025, AI algorithms will be actively used in betting, casinos and bookmaker services, changing how digital platforms work and how users interact with them.
Platforms are no longer limited to a catalog of games – they create an “individual gaming space”, where the player’s actions are analyzed and presented in the form of personalized scenarios. For the user, this means quick decisions and predictable interaction. Similar trends are also observed among Ukrainian operators, in particular Cosmobet, which are working towards the implementation of more personalized and technological approaches.
In this context, Mykhailo Zborovsky, an expert in the strategic development of iGaming products, notes another, more profound aspect. In his opinion, with the expansion of the use of AI, not only the technical side of the industry is changing, but also the very nature of gambling platforms: algorithms begin to play the role of a co-participant in the interaction, and not just a tool. They shape the rhythm of the game, adapt to the user's behavior, model his next steps - and thereby create a new architecture of the digital environment.
Using AI In Interaction With the User
As gambling platforms become more complex, artificial intelligence is quietly moving from the category of marketing slogans to a real mechanism that shapes the daily experience of users. If earlier interaction with the service was a set of fixed steps, now it is turning into a dynamic system that adjusts almost imperceptibly so that the player does not have time to notice the moment of change.
In his comments, Mykhailo Zborovsky draws attention to this part - not loud, but decisive. In his opinion, AI does not change the rules of the game, but the architecture of the service: it makes it less chaotic, more predictable. This is not a revolution in the genre, but a gradual assembly of the product to linearity, in which the user does not get lost among dozens of options. In the materials where Cosmobet is mentioned, a similar focus can also be traced: approaches related to behavioral analytics and navigation optimization are described - something that has already become the norm in the global digital entertainment market. These are not unique solutions, but part of a broader movement that encompasses the entire industry: the desire to make interaction not only faster, but also clearer.
In such systems, AI works almost imperceptibly:
- Structuring interaction steps so that the user does not have to look for the obvious;
- Adjusting the interface according to recent actions;
- Smoothing out unnatural pauses between screens;
- Helping the platform withstand the load without failures;
- Offering contextual hints where the path may seem too complicated.
In this context, Mykhailo Zborovsky emphasizes that the effect of AI is most noticeable not at the level of individual functions, but at the level of structure: the service behaves more consistently, the user notices less “extra movements,” and the interface becomes clearer.
The Role of AI In Security And Risk Detection
In recent years, scientists and technology companies have developed and implemented algorithms that analyze user behavioral data to identify risk patterns. For example, the GameScanner system from the provider Mindway AI predicts potentially harmful player behavior using more than ten different indicators. If the risk rating exceeds a set threshold, the system sends a signal to the operator or directly to the player and offers a pause, a reminder about responsible gaming or other preventive measures.
According to research, such models are able to detect a significant proportion of cases of problematic behavior that would otherwise go unnoticed, but only if they are based on high-quality and relevant data.
When applied to platforms, this means:
- Timely warning reacts immediately, without the need to wait for a complaint or a player’s own appeal;
- Scalability of protection;
- Individual approach;
- Reduction of the human factor. The algorithm does not get tired, does not miss night sessions, and can work 24/7.
In the comments made by Mykhailo Zborovsky, the idea is often heard that such technological silent security can change the approach to security in iGaming and make it not reactive (when a person has already experienced a negative), but preventive, at the level of the platform architecture itself. If we recall Cosmobet, such approaches are considered part of a global trend towards transparent and predictable interaction models. At the same time, studies emphasize caution.
Systems that call themselves AI for responsible gaming have several weaknesses:
- Not all algorithms give a stable result;
- In many cases, the invisibility of algorithms can raise questions about transparency and responsibility;
- Technical limitations.
Despite the risks, the trend is noticeable. AI is becoming the foundation for modern security strategies in gambling. If the approach is ethical and transparent, it has the potential to change the way the industry looks: from a simple betting platform to a system that cares about the sustainability and security of user interaction.
New Challenges Related To the Transparency And Ethics of Algorithms
The machine learning models that underlie modern gambling services operate in multi-layered structures that are difficult to translate into human logic. They analyze patterns, adjust interaction scenarios, generate warnings, and do so in such a way that the user often sees only the result, not the process. It is this opacity that gives rise to a key ethical challenge: how to evaluate the system’s solution if the principle of its operation is hidden behind a complex structure of algorithms.
Mykhailo Zborovsky emphasizes that such invisibility of technologies is changing the nature of the digital environment itself. According to him, when interaction is increasingly shaped not by the interface, but by the algorithm, the user has the right to understand at least the general principles of how this interaction is built. Otherwise, the service risks turning into a system in which decisions arise without a tangible connection to human actions. The public materials that mention Cosmobet trace the same global shift. Operators analyze user behavior and work with tools that allow platforms to notice deviations in the rhythm of the game.
These are not unique practices, where AI is increasingly involved in identifying moments that require additional attention. However, this is where the question arises of how transparently the mechanisms behind such decisions should be explained. Studies indicate another problem. The risk of misinterpretation. The algorithm can confuse intense play with uncontrolled play, a pause with a sign of risk, and a change in behavior with problematic activity. Since such systems are trained on large data sets, any error in this data can affect decisions regarding a real user. And here, as Mykhailo Zborovsky emphasizes, the line between care and error becomes especially thin.
