Sony CEO Says Generative AI Enables More Ambitious Game Projects

During its May 8, 2026 corporate strategy presentation, Sony Group President and CEO Hiroki Totoki positioned artificial intelligence as a core growth driver for the entertainment conglomerate. The statement came during the company's fiscal year 2025 earnings announcement, where Totoki emphasized that AI would enable more innovative and ambitious projects previously constrained by cost and time.

The official press release from Sony Group details the company's Creative Entertainment Vision, which seeks to leverage technology to empower creators while keeping human creativity at the center. Totoki explicitly stated that "AI is not a replacement for artists or creators," framing the technology as an amplifier of human imagination rather than a substitute.

Within Sony Interactive Entertainment (SIE), the implementation takes concrete form through in-house tools like Mockingbird. This system animates 3D facial models based on performance capture data and was already deployed in Horizon Zero Dawn Remastered. The workflow captures actor movements, then processes that data to generate facial animations—a task that traditionally required manual keyframing and hours of tedious adjustment.

Totoki also highlighted AI models handling hair animation, a notoriously labor-intensive process in game development. Animating individual hair strands responding to physics, wind, and character movement typically demands significant manual intervention. By automating these repetitive tasks, developers can redirect effort toward building richer worlds and gameplay mechanics.

The company has invested more than $50 million to date applying AI across production workflows in its Pictures business. Additionally, Sony signed a non-binding memorandum of understanding with TSMC for next-generation image sensor development, and launched a pilot initiative with Bandai Namco to explore generative AI applications in video production.

Prototypes for NPCs with autonomous personalities are also in development, designed to create dynamic worlds players can explore. These systems would theoretically allow non-player characters to exhibit behavioral variety beyond scripted dialogue trees, responding to player actions with more organic-seeming reactions (though whether this actually feels more natural than well-written scripts remains debatable).

The Yahoo Tech coverage of the announcement notes that Totoki's vision positions AI as a productivity tool for cutting development corners. This approach contrasts with former PlayStation head Shuhei Yoshida's advocacy for smaller, experimental projects. The tension between efficiency gains and creative experimentation is real—automation can streamline production, but it can also homogenize output when teams rely on the same optimized workflows.

From a technical standpoint, the Mockingbird tool represents a practical application of performance capture data processing. Rather than replacing motion capture actors, the system optimizes how that captured data translates into final in-game animation. The physical reality involves actors wearing marker suits in mocap studios, their movements recorded, then processed through AI pipelines to generate facial expressions that match the performance.

Crunchyroll, Sony's anime streaming service, now serves more than 21 million paid subscribers globally as of March 2026. The company is also hosting its first-ever "Crunchyroll Anime Future Forum" this fall in New York, bringing together publishers and creators to strengthen industry relationships.

Whether AI integration actually delivers the promised creative expansion or simply accelerates formulaic content production remains to be seen. The technology can reduce friction in development pipelines, but friction sometimes breeds innovation when developers work around limitations. Whether users actually pay for the resulting experiences is the real question.

Sony's entertainment business now accounts for 67% of consolidated sales, so the stakes for this AI strategy are substantial. Time will tell if the investment yields returns beyond efficiency metrics.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn