AI
Should we fear Generative AI?
Nik McDonald, Senior Account Director at Fujitsu, says absolutely not but that it does come with some risks and drawbacks that organisations should be aware of.
What makes AI such a hot topic across the industry right now?
Operators and suppliers have come to understand that artificial intelligence can have a seismic impact on their businesses, whether that be streamlining internal processes or improving the solutions, tools, services and experiences they provide to their customers. But as the understanding of AI has deepened, so too has the awareness that the impact AI has can be both positive and negative. This has ultimately left some organisations nervous and unsure how to approach it, let alone integrate it into their workflows, services and products. And this is why it’s become a hot topic, with stakeholders across the sector keen to learn more about it.
Is there a certain type of AI that’s best suited to this industry? If so, what makes this type of AI such a good fit?
There are several types of AI including Narrow AI, General AI, Super AI, Reactive Machines, Limited Memory, Theory of Mind and Self Aware. The category most are interested in is Narrow AI and in particular, Generative AI – this is AI that can create new data including texts, images and videos by learning the structure and patterns of its training data to generate new ideas with similar characteristics. It can be trained to understand human language, programming language, art, chemistry, biology, law and countless other complex subjects and is often powered by Large AI models, often referred to as foundation models. This means Generative AI can perform a wide range of tasks including summarisation, classification and answering queries. This scope is what makes it ideally suited to businesses in this industry, regardless of whether they have a B2B or B2C focus.
Can you give a real-world example of Generative AI?
ChatGPT is the most famous example. It’s essentially a chatbot that runs on the foundation of large language models, trained on vast amounts of data to produce texts that humans understand. Users ask a question and ChatGPT breaks down the query into smaller components to analyse their meaning and determine what the user is really asking it to do. It then returns the words and sentences it thinks best answer the query based on the data it’s been trained on. It’s pretty cool, but it does have some drawbacks and risks to be aware of.
Could you explain some of these drawbacks and risks?
The accuracy of results is a big concern, as is inconsistent outputs, bias, lack of explainability and even threats to privacy, security and intellectual property. People often forget that ChatGPT is a public service and that as well as sharing information, it consumes it. This means users must approach with caution if using it in the workplace or to ask questions about proprietary and sensitive information and data. Users also need to cross-check the answers that are provided to their queries given the inaccuracies and biases it can have.
Does this mean Generative AI should be feared?
Not at all. Organisations should embrace the power of Generative AI and the clear benefits it can bring to their operations. We are already seeing companies use it, whether that be a slot studio harnessing its creativity to come up with new game concepts, designs, animations and even mechanics, to compliance platforms that use it to spot patterns in player behaviour. This sector has always been at the cutting edge, and I would include operators and suppliers to push the boundaries of AI but just to be mindful of some of the risks it presents.
How has Fujitsu approached Generative AI?
We have been busy developing a chatbot that’s similar to ChatGPT but that organisations can use with confidence. Instead of using publicly available data, it sits on top of the company’s data warehouse and allows teams and employees to ask questions and queries and have answers generated based on the proprietary data the foundation models have been fed on. Data can be siloed within the warehouse and with different levels of permission granted to different employees and teams. With our PrivateGPT, companies can really benefit from the power of Generative AI but with confidence that data is safe, secure and private, that responses are accurate and unbiased, and that the right level of permission is granted to individual employees.
Can you give an example of how organisations can use your PrivateGPT?
Our PrivateGPT has lots of use cases including being able to ask any question, chat with company data, find new answers and insights, foster deeper collaboration, jointly generate insight and evaluate results and develop decision support systems. Specifically, it might be a legal and compliance team wanting to ask a question about a previous market entry and a specific legal requirement, or it might even be to offer a consumer-facing tool where bettors can see how a team or player had performed across historic bet outcomes. This is what makes Generative AI so exciting and why it will continue to be a hot topic for some time to come.
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OpenSlots, a new AI creative platform for game development, has made its market debut, designed to empower operators, studios, and developers to build bespoke, high-quality titles faster and more efficiently than ever before.
The first iteration of OpenSlots has been launched for internal use by the team of experienced executives behind content aggregator and slot studio ESA Gaming, with it leveraging artificial intelligence to remove barriers to creativity and game delivery.
Expected for commercial release in mid-2026 the platform will enable non-technical professionals to design, test, and publish fully compliant slot games with intuitive, modular tools, without compromising on graphic quality or gameplay innovation.
Its simple interface will allow for aspiring game creators to input key specifications, such as theme, game type, mechanics, reel matrix, RTP and much more, before generating a game design document, concept art and publishing a game in a game editor for on-the-fly changes.
Customers are then able to gain access to ESA Gaming’s distribution network of more than 160 operators across regulated markets, to ensure rapid deployment to the end user.
With a leadership team bringing a wealth of experience in the sector and a product roadmap set to include more than 20 game types, multilingual support, and 100+ currencies, OpenSlots is poised for rapid global growth.
Thomas Smallwood, CCO at OpenSlots said: “We see OpenSlots as a game changer in the game development space. Our mission is straightforward in that we want to unlock creativity for non-technical professionals and empower operators and studios to create their own content quickly and easily.
“Our platform makes slot creation faster, more efficient, and conducted in an environment where success can be replicated at will. With the addition of the distribution network via ESA Gaming’s Game Aggregation System (GAS), we’re confident that OpenSlots can signal the next phase of game production.”
The post OpenSlots to power new dawn of content creation with AI development platform appeared first on European Gaming Industry News.
Major findings from the newly launched report include playable ads having the potential to deliver impression-to-install rates 16 times that of non-playable formats for emerging gaming apps and a 20% increase in spending on interactive ads year over year.
Liftoff, a leading AI-enabled growth platform for the mobile app economy, has published its seventh annual Mobile Ad Creative Index. The report explores top creative trends that are attracting and scaling in ad spend across consumer apps and games. It also highlights the expanding role of AI in creative production, testing, and optimization.
This year’s Mobile Ad Creative Index specifically analyzes creative concepts that have excelled in scale for Liftoff’s highest-spending advertisers over the past 12 to 48 months. It is based on findings from over 4.7 trillion impressions, 263 billion clicks, and 1.1 billion installs between 1 January 2023 and 31 May 2025.
Highlights from the report include:
Top consumer apps are investing in interactive ads to compete for engagement
In 2024, the share of spend on interactive ads for top apps increased by 20% year over year. The share of spend increased by 2% for spenders outside the top tier. Top-spending apps differentiate their campaigns by adding innovations to evergreen concepts such as social scrollers, carousels, and scratch-offs.
Playable ads deliver returns across ad budgets for mobile game advertisers
In 2024, the share of spend on playable ads for top games averaged 35% higher than other games. Across all ad budgets, however, playable ads delivered higher conversion rates. Impression-to-install rates were 8 times that of non-playable formats for top spenders and 16 times that of non-playable formats for other game advertisers.
Tailoring “metaplay” elements to motivations can improve performance
“Metaplay” elements—gameplay that diverges from an app’s core design to appeal to a broader audience—are widespread, but top games gain an edge by tailoring their metaplay ads to the publisher audience. The report found that aligning “metaplay” creative with publisher audiences resulted in a 93% increase in installs-per-mille.
UGC is becoming a key differentiator in driving scale for consumer apps
The share of spend on user-generated content (UGC) increased 11% for top-spending apps, with social and utility apps seeing the most significant jump of nearly 30% between 2023 and 2024.
Widespread adoption of Gen AI leads to more customized ad experiences
Creative teams increasingly leverage AI to enhance top-performing assets with 3D and motion and to create and test variations. Top advertisers also use AI to recombine their assets in customized ad experiences that break away from standard video to playable formats.
Yann Zeller, Chief of Staff, Creative at Liftoff, said: “Today’s creative landscape is shaped by a single, powerful truth: attention is the commodity, and brands, games, and influencers are all vying for it. Great mobile ad experiences can earn attention by aligning context with behavior. As ad formats become richer and AI expands our ability to personalize and adapt creatives at scale, we’re able to unlock new insights into user behavior and motivation. We see users spend meaningful stretches with the right content, sometimes 60 to 90 seconds when the ad feels personal or prompts meaningful participation. This isn’t just a better way to advertise—it’s a better way to tell stories and the most exciting brief we’ve had in years.”
Soren Steelquist, Director of Creative Production, said: “The proof is in the data—more and more consumer apps are incorporating UGC into every stage of their marketing, and programmatic is no different. UGC works because it’s authentic and relatable, and users are more likely to be influenced by ad when it’s coming from a trustworthy source. To see higher impact from UGC creatives, work with a partner that can match the right creator with your brand and develop winning concepts that resonate with audiences.”
The post Liftoff’s 2025 Mobile Ad Creative Index Reveals UGC Is a Key Differentiator for Top Apps appeared first on Gaming and Gambling Industry in the Americas.
RG24seven Virtual Training, the industry-leading and free video-based training platform for Tribal and commercial gaming employees, is pleased to offer an exclusive Artificial Intelligence (AI) course presented by Better Change and Mindway AI. The course was first announced during the premiere episode of TALK 24 highlighting the future of AI in Responsible Gaming. The new course will introduce gambling industry employees to the role AI can play in Responsible Gaming initiatives and the gambling industry as a whole.
Wendy Anderson, CEO of RG24seven Virtual Training, said, “Our new AI course aims to enhance RG24seven’s existing Responsible Gaming and Safer Gambling content, introducing new perspectives and insight that align with the latest developments in the field. As part of the fast-growing software company operating science-based solutions, Niamh Gallagher from Mindway AI, presents these courses with a deep understanding of AI.”
Gallagher added, “Promoting responsible gambling is a shared responsibility; our commitment to this training is rooted in collaboration. The gaming industry must be aware of the ethical responsibilities that come with the advancements in AI and ensure that it is used transparently, with clear and ethical guidelines in place to support Responsible Gambling behaviors. Simply taking this course helps gaming employees understand the basics of AI and the critical role it can play when used responsibly.”
Victoria Reed, CEO of Better Change and Strategic Advisor for RG24seven, concluded, “The future of AI in the gaming industry is still being written. It’s not just about the technology itself but it’s about how we choose to use it. AI in the hands of people who are committed to ethics and responsibility, has the potential to be a game-changer for player protection and industry integrity. It’s a future we’re working hard to build and it’s one we believe will benefit everyone involved, which is why we are proud to offer this new course in both the U.S. and the U.K.”
The post RG24seven Virtual Training Collaborates with AI Experts to Expand Responsible Gaming Courses appeared first on Gaming and Gambling Industry in the Americas.
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