“AI hasn’t created anything in gaming we couldn’t do before”

One of essentially the most outstanding industries focused by the AI revolution is gaming. With each child now capable of generate a recreation with a number of easy prompts, and with fashions changing into extra subtle regularly, the business is underneath important stress not solely to combine AI into its operations, but additionally to show that the know-how doesn’t make it, and its staff, redundant.

Yaron Leyvand is aware of this problem firsthand. As government vice chairman and head of cellular studios at gaming firm Zynga (acquired in 2022 by gaming big Take-Two) and the corporate’s senior Israeli government, he’s on the forefront of efforts to weave AI fashions into its operations. “We need to break down AI in games into two things,” he says in an interview with Calcalist. “One is: can I do things faster, more efficiently, and more cheaply. And the second is: can I create content that I couldn’t create before without this AI tool. As for the second thing, we haven’t seen anyone succeed there yet. No one has done anything with AI that couldn’t have been done before without AI. But as for doing things faster, cheaper, and more efficiently, we’re completely there. You see it in marketing, of course, but also in much more than that. Every routine action you do, AI probably does it faster and maybe even better.”

Is it not doable to create content material with AI that we couldn’t create earlier than?

“I’m not saying it doesn’t work, I’m saying no one has done it. Creating an experience, finding something that I couldn’t do that is now possible thanks to AI, is something new. Meanwhile, no one in the industry has been able to find anything that is a game changer in the game itself. In terms of efficiency, you can absolutely see it in many places: design, marketing, analysis, product, engineering. Each team uses AI as a force multiplier.”

Can you give a extra particular instance?

“I have a game being developed in a studio in Turkey. A special game for the Turkish market. But there is also a Turkish-speaking market in Germany that was difficult to reach. We did all kinds of very specific creative work, which used to cost a lot of money and would not have been possible, or justified, without AI, all in an effort to target the German market for a niche game for Turks. Before AI, there was no justification for spending $200,000 on this.”

How precisely does it work?

“You can use AI-based creative tools to produce ads that are not low quality at all, and of course there is still a guiding human hand. The goal is to reach a micro-segment that would have been very difficult to reach without it, or that could have been reached, but at very high cost and likely without justification. The marketing world now has a much better ability to focus on very niche and limited audiences and tailor something specific to them, as opposed to generic messaging.”

What about utilizing AI in recreation growth?

“In game development, the main use is for prototyping new games, when what you want to do is see if it is fun. A big part of what we do when we start developing a new game is understanding the reaction to its core mechanics, will you play it tomorrow? To test that, we use internal AI tools we’ve developed to create the core experience of the game. Is it the cleanest code? No. Is it code that can later support millions of players at scale? No. But that doesn’t matter, because that’s not the test. I want to see if the game itself is fun. With AI, I can do that much faster now. I can also test many different game designs. Is it better to do a crime, farm, or dragons theme? I can test this very quickly with AI to see what works best.”

And on the subject of the precise programming of the sport?

“When we get to production, we want to be more stable, but that also changes. The question is what risk-reward ratio you are willing to accept. If we are talking about a popular game like Words With Friends, I have to be conservative. There is a very large franchise here and we must be careful, so I will place great weight on stability and preserving the experience. But if we are talking about a new game that no one has played yet, then at the beginning, and this is essential, I am looking to constantly change and refine the experience to find the most fun version. Even if I sacrifice other things, everything is fair game. And there, with AI, we can do it very quickly, orders of magnitude faster than it was two years ago, or even a year ago. This is really possible today, not only in design but across the entire gaming experience.”

“Games you can play for years”

My five-year-old and his mom sat down along with Cursor, and in quarter-hour they created a cute recreation of a cat leaping over obstacles. These are belongings you couldn’t accomplish that simply two years in the past, and the fashions are solely getting higher. Could it’s that in 5 years they gained’t want Zynga anymore?

“All AI tools take existing information and use it to produce a new interpretation or experience. But no real innovation comes from only looking backward. You could say, make me another game like Candy Crush, and you’ll get something similar. How good will it be? I doubt it will come close to Candy Crush. But even if it does, it will be very difficult, if not impossible, from a business perspective to compete with Candy Crush. You will still need innovation.”