Sony says “efficient” AI tools will lead to even more games flooding the market

The Coming Deluge: More Games, Faster?

Hideaki Nishino, the head honcho over at Sony Interactive Entertainment, dropped a line last week that probably didn’t surprise anyone who’s been watching the video game industry for the past decade. He reckons we’re about to see a “meaningful increase” in the sheer volume of games hitting the market. His reasoning? AI. Specifically, AI development tools that are “lowering barriers to creation, accelerating development cycles, and enabling more creators to enter the market.”

What I find fascinating here isn’t the prediction itself – of course AI will accelerate things. It’s the implication. We’ve already seen a tidal wave of new releases thanks to democratized game engines and digital storefronts. To hear a platform holder predict another, even larger surge, well, it makes you wonder if anyone’s actually considered what happens when the floodgates truly open.

Nishino points to Sony’s own first-party studios already leveraging AI for tasks like quality assurance, 3D modeling, and animation. These are the repetitive workflows, he notes, the ones AI is uniquely positioned to streamline. And sure, that sounds efficient. It sounds smart on paper. But efficiency in game development, as I’ve learned over the years, often comes with a hidden cost.

The Flood We Already Know

When ‘More’ Became ‘Too Much’

Let’s be honest about this: the market is already drowning in games. Steam, for example, saw over 10,000 new titles released in 2022 alone. That’s a staggering number, roughly 27 games hitting the storefront every single day. Remember the early days of Steam Greenlight? Or the gold rush to mobile app stores? Each technological leap, each reduction in barrier to entry, has always led to an explosion of content.

The promise back then was liberation for indie developers, a chance for unique voices to bypass the gatekeepers. And for a while, it was. But that promise quickly curdled into a brutal discoverability crisis. How many genuinely brilliant, small-team games are gathering digital dust because they simply can’t cut through the noise? It’s a tragedy, honestly.

So when Nishino talks about AI further lowering barriers, my mind immediately jumps to that dynamic. More games is not inherently better. In fact, for the vast majority of creators, it makes standing out an almost Sisyphean task. Unless you’re a platform holder, of course. They simply collect their 30% cut, regardless of whether a game ever sees the light of day, or sells ten copies, or ten million.

AI’s Double-Edged Sword: Promise and Peril

I’ve watched companies try variations of this before, trying to automate creativity. It rarely ends well. Yes, AI is exceptional at automating mundane tasks. Generating placeholder textures, animating basic walk cycles, even identifying bugs in code – these are massive time-savers. A lead environment artist, for example, could spend less time hand-placing every rock and tree, and more time on high-level artistic direction, letting AI fill in the minutiae. This can reduce crunch, save budgets, and accelerate development significantly for a mid-tier studio.

But there’s a creeping fear here. What happens when AI tools become so good at generating ‘good enough’ content that human artistry becomes less valued? Or worse, less economically viable? If an AI can generate a thousand variations of an NPC character model in minutes, what does that mean for the junior 3D artist? Nobody’s talking about the real problem here — which is the economic stratification this might deepen. The mega-publishers will wield these tools like superpowers, while smaller studios, dependent on third-party AI licenses, will find themselves competing against an even more efficient behemoth.

There’s also the question of data. Every AI tool needs training data. For game development, that means existing assets, code, animations, scripts. Who owns that data? What are the licensing implications when you’re building new IP on the back of potentially millions of pre-existing, copyrighted assets? (and yes, that’s as scary as it sounds for long-term IP holders). The legal and ethical quagmire here is immense, and largely unresolved.

Beyond the Quantity Game

The goal, it seems, is always more. More content. More efficiency. More releases. But players don’t just want more; they want better. They want innovative, memorable experiences. They want stories that resonate, gameplay that challenges, worlds that enchant.

We’ve been through this cycle countless times. From the early console wars to the rise of flash games, to the mobile boom and the current indie explosion, the pattern holds: new tech enables a burst of creation, followed by market saturation, and then a struggle for relevance. The economics are brutal. Many small studios won’t survive the current glut, let alone an even larger one facilitated by AI.

So, yes, we should expect more games. A lot more. But the real game, the enduring challenge for developers and platform holders alike, won’t be about how many titles they can pump out. It will be about how to help players find the truly special ones amidst the noise. It will be about nurturing genuine innovation, not just facilitating sheer volume. And frankly, I’m not convinced AI, on its own, is going to solve that problem. It might just make it worse.