For many years, live casino sessions were built around the vivid experience with a real croupier spinning the roulette wheel, rolling the dice, or dealing cards. Developers sought to make the digital environment as close as possible to the atmosphere of a physical casino.

Against this backdrop, BetGames' research became emblematic for the industry. The provider tested AI hosts live on its show, and most gamblers did not notice the substitution.
All project nuances were designed to ensure the changes are as seamless as possible for the audience. Instead of overtly artificial characters, the studio used technology-generated avatars that closely mimicked the appearance and behaviour of real presenters, already familiar to punters.
According to the company’s report, over 70% of participants did not recognise that the hosts were AI-crafted. Meanwhile, player habits, session duration, betting patterns, and other key metrics remained unchanged.
For an industry increasingly investing in automation and artificial intelligence, the outcome was unexpected: the technology works but does not produce tangible results. From the customer’s perspective, the process remained the same.
Broadcasts featuring AI dealers ran for several days. The models used mimicked the behaviour of human presenters, effectively acting as their digital counterparts. This aspect preserved the format’s familiar feel.
Meanwhile, the project’s team monitored key metrics, such as:
The analysis showed no noticeable deviations: no increase in engagement or more aggressive staking. It is also important to note that customers did not shorten their average time spent on the platform or leave the table earlier than usual.
Experiment summary: replacing the live host with an artificial avatar had virtually no impact on user behaviour.
From a technological standpoint, the test can be considered a success: the models were good enough that most of the audience did not notice the substitution. Nevertheless, from a business perspective, the question of feasibility remains: without changes to performance and financial indicators, the AI’s deployment has no clear benefits.
To convincingly imitate real people’s behaviour, the developers had to conduct extensive research and address several operational issues.
Important nuances that must be considered:
In isolation, these issues may seem minor, but together they create significant challenges that degrade the quality of the gambling experience. Even market leaders struggle to achieve consistent results that would justify the operational costs of development and deployment.
The most F.A.Q. raised by BetGames' observation concerned not so much the tech nuances or alignment across different GEOs, but rather the philosophical and conceptual implications.
Let us explore the questions in more detail:
The real-dealer casino vertical is based on authenticity. The appeal of such products is determined by human communication.
The entertainer brings personality, humour, and the feeling that there are vivid emotions and reactions at the table. Eliminating this aspect risks turning a vigorous broadcast into a mere automated video.
If technology advances to the point where it enables precise avatar customisation for each user’s needs, the potential for market growth is obvious. AI agents in such a scenario could be extremely appealing for individualised interaction.
For now, the industry is not yet ready to provide such deep immersion. More flexible adaptation tools must be invented and become accessible before this stage begins.
Currently, the focus is primarily on visual customisation of avatars, including their gender, ethnicity, and clothing style. The platform’s operational capacity limits deeper levels.
Any existing scenario remains narrow for now. At the same time, tailoring content aimed at specific audiences is an interesting development direction.
Generative models open up possibilities unachievable within the traditional studio schedule. It is a new, higher level of convenience, diversity, and accessibility.
BetGames' management emphasised the potential of this technology. Yet, the specialists did not disclose details, leaving room for future innovation.

Following the research project, Andreas Koeberl, the company’s CEO, noted that artificial intelligence itself is not an endpoint. Recreating an existing experience hardly improves it automatically. The true potential of these tools is revealed when they craft something that could not be achieved by traditional means.
At the current stage of development, AI avatars can convincingly imitate a personality. Most users do not notice the difference. Nevertheless, even with this level of realism, the technology cannot completely replace human hosts yet. Also, operating costs remain high, negating the practical benefits and profitability of mass implementation.
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