Morgan Stanley Says AI Could Cut Game Development Costs in Half

Morgan Stanley’s estimate lands at a sensitive moment for Nintendo: advanced AI tools could cut video game development costs by nearly half and unlock about $22 billion in annual profits across the industry, just as the company is managing a major hardware transition and a new software cycle around Switch 2.

The scope of the claim matters because it goes beyond simple automation. The note said AI could take on environment creation, dialogue generation and software testing, the kind of work that affects how fast teams iterate, how much content gets produced, and how much QA has to catch before launch. For developers and testers, that does not mean AI instantly replaces craft. It does mean the pressure to use it more aggressively is likely to rise in the places where production time and labor costs are easiest to measure.

The gains will not be spread evenly. Platform holders and operators such as Tencent, Sony and Roblox are positioned to benefit most because they can draw on proprietary data, owned IP and live operations that can train tools and amplify output. That is the part Nintendo staff should watch closely. Nintendo’s public materials continue to emphasize product quality, software expansion and long-term platform growth, and the company announced Switch 2 for release on June 5, 2025 in a period when release cadence and polish matter as much as raw throughput. In that environment, a wholesale AI push would collide with the company’s tightly managed creative identity.

The broader industry picture suggests this is no longer a side experiment. The 2025 Game Developers Conference State of the Game Industry report said 30% of respondents were already using generative AI in their work. The 2024 survey put the figure at 31%, while also showing many developers were either experimenting with the tools or opposing them on ethical grounds. Those same surveys described an industry under layoff and budget pressure, which helps explain why AI is increasingly framed as a cost lever as much as a creative one.

For Nintendo, the question is not whether AI will enter the workflow. It already has in much of the industry. The real test is whether the company can use it for drafting, testing and support without dulling the polish and consistency that define its biggest franchises. That balance will shape how far Nintendo can go, and how quickly, while keeping its quality-first reputation intact.