AI revolution reaches the world of games: technology is already developing games

The video game industry is on the verge of a technological revolution which promises to significantly transform the development process of major titles.

Producer Jade Raymond, with a history of large-scale projects such as “Assassin’s Creed” and “Everquest 2”, highlights the inevitable integration of artificial intelligence into the creative structure of future game releases. A transition that will happen regardless of the receptivity of the public or the developers themselves.

Integration between games and AI

Image: Kittipong Jirasukhanont/PhonlamaiPhoto’s Images/Reproduction

Raymond sees AI not as a threat, but as a potential enabler. The complexity and demand for human resources for developing AAA games has increased exponentially over the years.

What was once a 50-person project delivered in two years has now turned into a task for hundreds of developers, extending the production period to over a decade. The expectation is that AI will help reverse this trend, unleashing more creativity from both developers and players.

Recent investments in technologies such as NFTs and metaverses have already signaled the industry’s openness to innovation. Generative AI is the next frontier to be explored and debated intensely among industry enthusiasts and professionals.

Although so far no developer has actively incorporated this technology to bring their titles to the market, the situation is expected to change in the coming years.

Generative artificial intelligence is already a central topic of debate in the sector, although it has not yet been actively adopted by any developer to launch its titles on the market. However, this situation could change in the coming years, with generative AI being seen as a valuable resource for the games market.

Trends for 2023

Trends for 2023 reinforce the importance of Artificial Intelligence in video game development, particularly for smaller studios.

Assisted AI promises to provide these studios with a competitive advantage, allowing them to significantly reduce content production costs. The use of templates machine learning and the training AI for asset creation can enable smaller teams to achieve more with fewer resources.

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