A fragmented web of more than 15 studios, centrally orchestrated by Ubisoft Québec, delivered Assassin’s Creed: Shadows—showing how multinational specialization, long‑term support functions and heavy investment produce high‑value AAA games; the same governance structures will shape how AI tools reconfigure tasks, data governance and skills across creative value chains.

Main Finding

The production of Assassin’s Creed: Shadows (2021–2025) exemplifies a highly fragmented yet tightly integrated Global Multimedia Value Chain (GMVC). More than fifteen Ubisoft studios across North America, Europe, and Asia contributed specialized functions coordinated centrally by Ubisoft Québec, which acted as the governance hub for creative direction, technology, and project management. Support functions (education/training, archiving, management/regulation, sustainability/social responsibility) were essential to long‑term value, cultural authenticity, IP protection, and environmental accountability. The game’s commercial and technological success arose from coordinated multinational specialization, sustained financial and technological investment, and effective orchestration across studios.

Key Points

• Network structure
  • Highly distributed production: >15 Ubisoft studios across three regions (North America, Europe, Asia).
  • Central governance: Ubisoft Québec coordinated creative vision, tech development, and project management.
• Division of labor and specialization
  • Geographic specialization aligned to capabilities: historical research, engine optimization, audiovisual design, QA, and global marketing.
  • Studios contributed modular, complementary pieces that were integrated into the final product.
• Support functions
  • Education and training supported skill development and knowledge transfer across the network.
  • Archiving and preservation maintained cultural and IP assets for reuse and long‑run value.
  • Management and regulatory activity ensured contractual coordination, IP protection, and quality controls.
  • Sustainability and social responsibility were embedded into production practice and accountability.
• Outcomes
  • Technological innovation and large financial investment enabled high production values.
  • Effective orchestration of the GMVC produced a commercially and culturally successful AAA title.
• Contribution to literature
  • Positions AAA game production as an interconnected economic, cultural, and technological ecosystem, extending Creative Value Chain analyses to large-scale, multinational game projects.

Data & Methods

• Research design: Qualitative case study using the Creative Value Chain framework to map the GMVC of Assassin’s Creed: Shadows (2021–2025).
• Data sources:
  • Official Ubisoft documentation (internal reports, public releases).
  • Developer credits and studio attributions.
  • Industry reports and market analyses.
  • Media interviews with developers and managers.
  • Relevant academic literature on creative industries and value chains.
• Analytic approach:
  • Mapping of studios, functions, and governance relationships.
  • Identification of specialized value contributions by geography.
  • Attention to support functions that enable reproducible value over time.

Implications for AI Economics

• Production automation and complementarities
  • AI tools (procedural generation, animation synthesis, automated QA) can shift the division of labor—reducing routine creative tasks while increasing demand for AI‑literate creative/technical roles. Economic models should capture complementarities between human creativity and AI augmentation across sites.
• Geographic distribution of AI capabilities
  • Multinational chains will reflect uneven AI adoption: studios with stronger R&D and computational capacity (often concentrated in certain regions) will internalize more AI‑intensive tasks, changing global skill and wage patterns.
• Data flows and IP governance
  • AAA production generates and depends on large, heterogeneous datasets (art, audio, motion capture). AI economics must address data ownership, licensing, cross‑jurisdictional transfer, and how IP frameworks shape incentives for AI use in creative chains.
• Investment, scale, and concentration
  • High fixed costs for AI infrastructure (compute, tooling) favor large incumbents able to absorb investment, potentially increasing market concentration and altering competitive dynamics in creative industries.
• Labor markets and upskilling
  • Support functions (training, education) become central to enabling workforce transitions to AI‑augmented workflows; policies and firm strategies that invest in retraining affect labor market outcomes.
• Measurement and valuation
  • Traditional output/value measures may miss AI‑enabled changes (e.g., modular reuse, behind‑the‑scenes automation). Economists should refine productivity metrics for creative goods that account for orchestration, IP rents, and long‑run archival value.
• Environmental and social externalities
  • Increased compute use for AI raises energy and emissions considerations; sustainability practices must be integrated into economic assessments of AI adoption in multimedia production.
• Policy implications
  • Regulation of data use, IP, labor standards, and competition will shape how AI diffuses through global creative value chains and whether benefits are widely distributed.

Overall, the case demonstrates that analyzing AI’s economic impact on creative industries requires a value‑chain perspective that integrates technological change, governance structures, cross‑border specialization, and the often‑overlooked support functions that sustain long‑term cultural and economic value.