—TechRound does not recommend or endorse any gambling, betting or financial advice, practices or operators. All articles are purely informational—
The 2020s in tech have been defined by the artificial intelligence boom, and there’s no getting around that fact. When ChatGPT launched in 2022, it sparked a complete shift in how an average person viewed AI technology. Since then, it’s only become more pronounced as businesses and entire industries grapple with how the tech is changing the landscape.
In some cases, it’s obvious where AI is changing how companies do business and how we interact with them. For example, customer support in many cases has been replaced with chatbots that take the place of human staff. This is something many will experience in their day-to-day lives and a perfect indication of how modern technology is changing the way we live.
However, that isn’t always the case. Behind the scenes, lots of industries are leveraging AI technology as a means to get ahead of the game and streamline processes. From online casinos to the world of retail, AI is creating a vastly different landscape from what we experienced just five years ago.
Online Casinos and Predictive AI: A Modern Solution to Game Selection
The online casino industry is huge in 2025. It has grown into a multibillion-pound market that continues to expand even as it regularly hits new record heights. In its early days, operators would provide simple digital versions of classic casino games like poker and roulette. Now, though, video slots have become a huge part of the typical online casino offering. What’s more, operators are leveraging AI to help.
If you were to look at any online casino that offers slots, you would notice that there’s a seemingly endless number of titles on offer. These come in all different shapes and sizes, with everything from the classic three-reel style to modern jackpot games. Because of the sheer number of different games and the extensive list on offer to players, developers and operators are using AI to help shape gameplay and catalogue creation.
In an effort to capture the market, predictive AI is now being used to personalise the games on offer. This includes collecting data like the time of day users are playing, the size and kind of bets being placed, and the player’s demographic. This then allows both the provider and the operator to offer better bonuses and promotions that suit specific players and introduce features that would appeal to those exhibiting these behaviours.
Retail Industry Using Similar Applications of AI for Inventory Management
Away from the casino industry, predictive AI is being used in the retail industry in much the same way. As businesses look to maximise profits and reduce waste, predictive AI is being used to analyse consumer trends and provide more tailored inventory management solutions. This is particularly helpful for businesses where profit margins are slim and profits sit on a knife-edge.
AI has allowed these businesses to analyse trends in stock better and actively monitor stock levels in a much more efficient way. It can spot areas where waste is happening and predict consumer behaviours based on previously collected data. This helps stores buy stock more intelligently before they even know it’s needed.
Further, it helps retailers to more accurately set prices in line with market trends without risking profitability. It also allows businesses to offer more personalised deals for individuals, potentially tying them in with one brand through built-up loyalty. This is why we’re seeing an increase in the number of supermarkets offering loyalty schemes like the Tesco Clubcard.
Use Cases Varied as Almost All Areas of Life Drastically Affected
The use of AI isn’t restricted to consumer-focused industries, either. AI is becoming the most pervasive piece of modern tech in almost all sectors, including those as niche as renewable energy.
In health, it’s being used by insurance providers to better tailor policies, for example. It is also being leveraged in clinical trials to analyse data and produce training for the staff involved in the conduct of the studies.
It’s crystal clear that AI is something that almost all businesses will need to use at some point. Generative AI may be a massive bone of contention, but to see the technology as simply a means to create media or text is missing the point. These programmes are just as much about data and trend analysis as they are production, and that will likely only become more prominent as time moves on.
—TechRound does not recommend or endorse any gambling, betting or financial advice, practices or operators. All articles are purely informational—
