Worried About AI in Game Development? It’s Here, and It’s Only Getting Worse

Rezolve AI RZLV Launches Global Professional Services Division for AI Growth

There’s nothing inherently wrong with using generative AI in development. According to the report, it’s gone from around 1,000 titles disclosing their use of AI in 2024, to almost 8,000 releases in 2025. That’s apparently 7% of Steam’s total library — and worryingly, it feels like these figures are only going to increase as the technology is refined and becomes even easier to use. Mobile games giant Supercell is particularly keen on the opportunities right now, setting up an AI Innovation Lab in San Francisco with the aim to “help us revolutionise Supercell and our industry”. The AI revolution in games is well underway – and right now it doesn’t matter how far its potential will stretch.

All we know right now is their aim to “reinvent game development and game experiences with AI”. This could just result in a copy and paste match-3 game, but they have extensive experience in building games companies. Boosting the retail industry with Gen AIThe retail industry is set for an eventful 2025, with Gen AI’s ongoing implementation set to make a major impact.

Entertain­ment & Media

More and more developers are turning to generative AI models when making their games — and it’s a trend that’s practically exploded over the last year or so. As Indonesia’s tech ecosystem braces for regulatory change, new growth stories are emerging. This week, local insurtech Bang Jamin secures fresh capital to reshape the insurance industry, while marketplaces prepare for the enforcement of a new digital tax—with industry bodies calling for a more adaptive rollout. Meanwhile, Homa co-founder and former CRO Olivier Le Bas has set up AI-first studio Everyday, similarly with the mission to “rethink how we build mobile game experiences and create products people come back to, every day”. Former Tiny Rebel Games CEO and former 2K Games VP Susan Cummings has also set up 10six Games “working at the bleeding edge of genAI”. Zynga founder Mark Pincus and former Netflix VP of games Mike Verdu have formed a new studio called Playful.AI.

Rezolve AI (RZLV) Launches Global Professional Services Division for AI Growth

Please leave a note in the Comment Section to know about our subscription plans. This fresh wave of AI-powered transformation is prompting deeper reflection on how AI will reshape professional roles. Jonathan Reeve, vice president APAC at Eagle Eye, has been considering this personally. Please bear with us as we address this and restore your personalized lists. Jassy explained in his note, “We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs.”

Smaller, more efficient models reduce the need for costly hardware and cloud services, enabling businesses to lower their operational costs. Furthermore, the ability to build custom models tailored to specific business functions means AI can deliver more precise results, thereby enhancing decision-making and overall performance. More companies are focused on developing AI models trained on their unique datasets, optimizing them for the specific nuances of their operations.

He was previously on the founding team at GLMX, one of the largest electronic securities trading platforms in the money markets, with over $3 trillion in daily balances. He was also CTO/Founder at Wavefront (acquired by VMware) and a Senior Engineer at Google, where he helped develop the back-end for all financial processing of Google ad revenue. He previously served as the Manager of Business Operations Strategy at PayPal, where he defined requirements and helped select the financial vendors for tens of billions of dollars in annual transactions. He also launched eBay’s private-label credit line in association with GE Financial. In conjunction with research teams at Stanford and UCSF, he has published six academic papers in medical informatics and mathematical biology.

It enables businesses to reduce their costs and increase their profits, end of story. I’m still trying to figure out how the good outweighs the bad, because this technology will only encourage lazy developers. A fascinating new study from Totally Human reveals that over the last 12 months, the number of games that make use generative AI on PC platform Steam has spiked by a staggering 800%.

• This is why it’s good to support indie games that don’t use any sort of AI.
• Indexed search is dying, and Google is struggling to reformulate its advertising business to operate in the Seventh Wave.
• More and more developers are turning to generative AI models when making their games — and it’s a trend that’s practically exploded over the last year or so.
• The increased capabilities within the industry, such as predictive analytics, and the integration of composable strategies are only going to allow the sector to go from strength to strength too.
• Meta has been training its AI model, Llama, on publicly available posts from Facebook and Instagram since last year.
• Tim Cook is going to have to use the company’s massive cash hoard to buy its way into AI as its internal efforts fail to generate adequate innovation.

Synthetic indexing enhances how generative content is categorized, contextualized, and retrieved by search engines, making it a core driver of GEO Services Market growth. Unlike traditional indexing, which relies on static keyword tagging, synthetic indexing dynamically analyzes semantic relationships and user intent across AI-generated content. This enables improved discoverability and ranking of generative outputs in search engine results. GEO services that implement advanced synthetic indexing allow businesses to optimize large volumes of content rapidly and effectively.

Media

As search algorithms evolve and the volume of generative content explodes, GEO services are positioned as critical infrastructure for any business that wants to be found, trusted, and preferred in the digital space. The rising demand for hyper-personalized digital experiences is fueling the integration of real-time personalization within GEO services. Generative AI models are increasingly being used to craft content tailored to user profiles, behavior patterns, and search history. GEO services enhance this by optimizing such personalized outputs for search engine visibility. Businesses in sectors like retail, finance, and education are leveraging this dual capability to improve customer experience and digital discoverability.

• As AI is a rapidly evolving technology, a composable strategy allows them to easily upgrade these components in the future as their needs change or AI technology evolves.
• The Asia-Pacific region is witnessing rapid growth fueled by digitalization in India, China, and Southeast Asia.
• The only parallel that might make sense is the industrial revolution, which completely reshaped humanity for better or worse.
• On one hand, the legacy software systems that PwC, Deloitte, and others have implemented for decades and that comprise much of their expertise, will be challenged in the short term and shrink in the long term.

And Capital One’s agent servicing model is already paying dividends, helping customer service agents resolve customer questions more efficiently, he says. But the head of AI strategies at $39 billion Capital One sees many CIOs miscalculating gen AI costs to the extent that they are making “irreversibly bad decisions” about their generative AI strategies. It literally adds 0 value if ten underpaid and overworked students worked on a bunch of miniscule props and textures for months.

My Services

As AI efficiency continues to improve, adopting these solutions is no longer a matter of speculation. The Asia-Pacific region is witnessing rapid growth fueled by digitalization in India, China, and Southeast Asia. The expanding digital economy, increasing online competition, and localized search behavior are creating new opportunities for GEO adoption. “AI also improves data quality by learning from the data itself, flagging inconsistencies, filling gaps and adapting to behavioral changes. Instead of relying on rigid rules, AI can detect patterns across billions of records to unify customer profiles with far greater speed and accuracy.

These domains support humans, who will see a personalized conversational interface, whereas AI agents will receive an algorithmic experience. Both paths lead to the same place, with each optimized for the entity that is visiting. Our team of market analysts can help you select the best report covering your industry.