The push towards integrating generative artificial intelligence into video game development, particularly for creating AI-powered NPCs and dynamic dialogue, is being met with significant skepticism from those who believe it undermines the craft of storytelling. Proponents suggest AI could alleviate development costs and allow for more expansive game worlds with infinite dialogue options, but critics argue that current implementations fall short of this promise.
While some isolated AI technology demonstrations have been impressive, their practical application in games like the life simulator Seed and Inzoi has reportedly been underwhelming. The initial excitement around these 'smart' NPCs has often devolved into generating humorous, unexpected, or even nonsensical interactions rather than meaningful narrative contributions.
AI startups like Convai aim to move beyond repetitive NPC dialogue, with companies such as Ubisoft envisioning 'fully personalized and immersive experiences' powered by AI. Others, like Meaning Machine, are developing reactive battle banter systems, with a broader ambition to use AI for entire narrative structures. However, this vision is fundamentally at odds with how compelling stories are created, according to critics.
The core argument against widespread AI narrative generation is that it devalues the importance of background details and environmental storytelling, which are crucial for building a game's atmosphere and immersion. While linear games must carefully manage pacing, open-world titles can leverage incidental details—like ambient NPC chatter, in-game advertisements, or journal entries—to flesh out their worlds and provide a sense of scale and place. These elements, though seemingly minor, are integral to a game's overall texture and character.
Examples like the corporate-themed advertisements in Cyberpunk 2077 serve to evoke specific feelings and contribute to the game's dystopian atmosphere. This contrasts with procedurally generated content, which is often perceived as less engaging. Starfield, for instance, has been criticized for its blandness when compared to New Vegas, partly due to the latter's hand-crafted environments and incidental dialogue designed to surprise and immerse players. The concern is that replacing this meticulous writing with AI-generated content would further shallow these worlds.
This skepticism is not limited to commentary on AI's narrative capabilities but also extends to the broader executive mindset within the industry. Developers who are deeply involved in narrative creation often express concern, with Larian Studios' head writer reportedly describing AI output as worse than their own initial drafts. This perspective suggests that those closest to the creative process recognize generative AI's current limitations in producing genuinely compelling content.
Critics argue that the insistence on AI integration stems from a misunderstanding of what makes art compelling, focusing on scale and novelty over human creativity and emotional resonance. The perception that players are indifferent to narrative quality or world-building details is seen as a fundamental misjudgment by some industry leaders. This viewpoint reduces games to mere products rather than complex artistic works, potentially leading to a future where carefully crafted narratives are replaced by functional, albeit uninspired, AI-generated content. The prevailing sentiment among these critics is that AI-generated dialogue and stories, in their current form, risk delivering a lesser experience that fails to connect with players on a meaningful level.