Unity Forms AI Council with Jia Li and Julian Togelius to Accelerate Game Development Innovation

Unity Forms AI Council to Speed AI Product Innovation

Unity has created the Unity AI Council to pair external AI leaders with its product team and push the pace and quality of new features. The first members are Jia Li of LiveX AI and Julian Togelius of NYU and modl.ai, with more members expected.

"AI is transforming our industry and accelerating the volume and pace of game creation," said Matt Bromberg, Unity's President and CEO. "We're dedicated to providing the best platform for the next era of interactive content creation."

Why this matters for product development

• Procedural content generation: shorter build cycles, more iteration, and higher content throughput with the same headcount.
• Agent-driven QA: autonomous playtesting to catch regressions, balance issues, and edge cases earlier.
• Personalization: player modeling and adaptive systems to adjust content, difficulty, and pacing in real time.
• Multimodal, interactive agents: experiences that combine vision, audio, and language across mobile, PC, console, and XR.
• Cross-platform consistency: shared systems and policies for performance, safety, and user trust across deployment targets.

Who's on the Council

Jia Li, Co-founder, President, and Chief AI Officer at LiveX AI. Former founding global head of R&D at Google Cloud AI and AI lecturer at Stanford. An IEEE Fellow, she also chairs HealthUnity and advises startups. "I believe the future of AI is multimodal and interactive… Unity's ecosystem across mobile, PC, console, and XR makes it the perfect platform to drive this transformation."

Julian Togelius, Associate Professor at NYU and Co-founder of modl.ai. An IEEE Fellow with work spanning game AI, procedural content generation, computational creativity, and player modeling. "Advances in AI are opening up huge opportunities for game development… I'm excited to contribute my expertise to the Unity AI Advisory Council."

What product teams should do now

• Run a PCG pilot in a contained feature area. Track cycle time, content volume per sprint, and designer satisfaction as primary success metrics.
• Introduce agent-based smoke tests in CI. Define coverage targets for core loops, level progression, and monetization paths.
• Set guardrails for data, safety, and IP. Document dataset provenance, review processes, and escalation paths before scaling features.
• Plan personalization with measurement. Start with opt-in cohorts, offline evaluation, and clear win conditions (retention, session length, or LTV).
• Model inference cost early. Choose on-device vs. cloud for each feature, set latency and reliability budgets, and build fallbacks.
• Upskill the team on AI workflows. See AI learning paths by job role at Complete AI Training.

What to watch from Unity

• Guiding principles and prototypes emerging from the Council's work.
• New SDKs or APIs that make agents, PCG, or player modeling easier to integrate.
• Data, privacy, and policy updates for shipping AI features at scale.

About Unity

Unity (NYSE: U) provides tools to create, market, and grow games and interactive experiences across major platforms, including mobile, PC, console, and extended reality. Learn more at Unity.com.

Source

View the original announcement on Business Wire: Unity Forms AI Council to Accelerate AI Product Innovation.

Forward-Looking Statements

This article includes forward-looking statements related to Unity's plans and objectives. Actual results may differ due to risks, uncertainties, and assumptions. Statements are made as of the release date, and Unity has no obligation to update them except as required by law.