Today, we’re diving into the future of gaming with Oscar Vail, a technology expert renowned for his insights into cutting-edge fields like quantum computing, robotics, and open-source innovation. With Ubisoft making headlines for its enthusiastic embrace of generative AI in game development, Oscar offers a unique perspective on how this technology could reshape the industry. In this interview, we explore the motivations behind Ubisoft’s AI adoption, the groundbreaking potential of projects like Neo NPC, the transformative impact of AI compared to past industry shifts, and the challenges and opportunities that lie ahead as studios adapt to these tools. Let’s get started.
How did Ubisoft come to see generative AI as a key part of its future in game development?
Ubisoft’s move toward generative AI seems to stem from a mix of necessity and opportunity. Game development has become increasingly complex and costly, with player expectations for immersive, expansive worlds growing every year. AI offers a way to streamline processes, cut down on repetitive tasks, and even push creative boundaries. I think they were also inspired by broader tech trends—seeing how AI has transformed other industries likely sparked ideas about what it could do for gaming. It’s not just about keeping up; it’s about staying ahead in a competitive field.
What specific production challenges do you think drove Ubisoft to adopt AI tools?
One major challenge is the sheer scale of modern games. Creating detailed open worlds or thousands of unique interactions for NPCs is incredibly time-intensive. AI can help generate content like dialogue, textures, or even basic code structures faster than humans alone could. There’s also the pressure to release games on tighter schedules while maintaining quality—AI can assist with testing and debugging, catching issues that might slip through manual checks. It’s about efficiency as much as innovation.
Can you break down what Project Neo NPC is and how generative AI plays a role in it?
Project Neo NPC, showcased at GDC, is Ubisoft’s initiative to revolutionize non-player characters in their games using generative AI. The idea is to make NPCs more lifelike, with dynamic responses and behaviors that adapt to player actions. Unlike pre-scripted interactions, AI can generate dialogue or actions on the fly, creating a more organic experience. It’s still early days, so the full scope isn’t clear, but it’s a step toward making game worlds feel truly alive.
In what ways does Neo NPC’s use of AI stand out from other games experimenting with similar tech?
Compared to something like the chat-bots in other titles, Neo NPC seems to aim for deeper integration. Many games use AI for surface-level interactions—basic responses that don’t evolve. Ubisoft appears to be targeting a system where NPCs remember past interactions or react contextually to the player’s choices, which is more ambitious. It’s less about gimmicks and more about building a framework that could redefine how we engage with virtual characters.
Yves Guillemot likened AI’s impact to the shift to 3D in gaming. What’s your take on why AI might be seen as such a pivotal change?
I think the comparison holds weight because, like 3D, AI has the potential to fundamentally alter how games are made and experienced. 3D graphics opened up new dimensions of storytelling and immersion; AI could do the same by personalizing experiences and automating complex design tasks. It’s not just a tool—it’s a paradigm shift that could make games more responsive and tailored to individual players, much like 3D made visuals more realistic.
Where do you see AI making the most significant difference in game design or player experience?
Player experience is where AI could shine brightest. Imagine NPCs that adapt to your playstyle or storylines that evolve based on your decisions in ways that feel natural, not scripted. On the design side, AI can take over grunt work—generating assets, optimizing code, or even suggesting design tweaks based on player data. This frees up developers to focus on creativity and big-picture ideas, which could lead to more innovative games.
How are studios like Ubisoft adapting their teams to work with these emerging AI technologies?
From what I’ve seen across the industry, adaptation involves a mix of training and cultural shifts. Ubisoft likely has programs to upskill their staff—teaching artists how to use AI for concept generation or programmers how to integrate AI algorithms. It’s also about fostering a mindset of experimentation, encouraging teams to test new use cases. Collaboration across studios globally helps share knowledge and best practices, ensuring everyone’s on the same page.
What are some exciting ways Ubisoft might be using AI in areas like programming, art, or game quality?
In programming, AI can automate tedious tasks like bug detection or optimizing performance for different platforms. For art, it’s already being used to generate textures or base models that artists can refine, saving hours of work. On game quality, AI can simulate thousands of player scenarios to identify balance issues or glitches before launch. These applications aren’t just time-savers; they elevate the polish and depth of the final product.
With the success of recent titles like Assassin’s Creed: Shadows, how do you envision AI influencing future games in such iconic franchises?
AI could bring a new level of dynamism to franchises like Assassin’s Creed. Future titles might feature worlds where every NPC has a unique routine or backstory generated by AI, making historical settings feel even more authentic. It could also enhance stealth or combat by having enemies react unpredictably based on your past actions. The key is using AI to deepen immersion without losing the handcrafted storytelling that defines the series.
What challenges do you foresee in integrating generative AI into game development on a large scale?
There are several hurdles. First, there’s the technical challenge—AI systems can be unpredictable, and ensuring they deliver consistent, high-quality results in a game is tough. Then there’s the ethical side: concerns about job displacement or over-reliance on AI-generated content that lacks soul. Player skepticism is another issue; if AI feels like a cheap shortcut, it could alienate fans. Balancing innovation with trust and quality will be crucial.
What is your forecast for the role of generative AI in the gaming industry over the next decade?
I believe generative AI will become a cornerstone of game development within the next ten years. We’ll see it integrated into almost every aspect, from design to player interaction, making games more personalized and replayable. However, it won’t replace human creativity—it’ll amplify it. The studios that succeed will be those that use AI as a partner, not a crutch, blending tech with artistry to push boundaries we haven’t even imagined yet.
