AI in Virtual Production Is Entering a New Phase
Artificial intelligence has become one of the most discussed topics across the creative industries. Within virtual production, however, the conversation is becoming more focused. Rather than asking what AI could do, production teams are increasingly evaluating where it delivers meaningful value within established workflows.
This shift is the focus of a new Knowledge Gem from our partners at Breda University of Applied Sciences. Written by Ella Bets, Short Report: AI Tools in ICVFX explores how artificial intelligence is beginning to influence in-camera visual effects (ICVFX) through practical applications, industry observations and emerging production workflows.
"It is evident that some AI tools are used in the ICVFX industry, and that these tools are predominantly active in the concepting and pre-production phases of the workflow, with some entering the production and post-production phase."
AI Is Becoming Part of the Virtual Production Toolkit
Across the wider virtual production industry, AI is no longer viewed as a standalone technology. It is becoming another tool within a much larger production ecosystem.
From concept development and previsualisation to asset generation, production planning and workflow optimisation, AI has the potential to accelerate many stages of production. At the same time, successful implementation still depends on the expertise of artists, technicians and production teams who understand when these tools should—and should not—be used.
This balance is reflected throughout Ella’s report, which explores AI as an evolving component of professional virtual production rather than a replacement for existing creative practice.
What This Means for Education and Skills
As AI capabilities continue to evolve, so too do the skills required of future virtual production professionals.
Technical proficiency remains essential, but educators are increasingly preparing learners to evaluate AI critically, integrate it into production pipelines and make informed creative decisions. Understanding workflows, collaboration and production methodology will continue to be just as valuable as understanding the latest software.
For networks such as VPSN, this reinforces the importance of connecting education, research and industry. Sharing practical experiences and emerging research helps ensure that new technologies are adopted thoughtfully, preparing learners for the realities of professional production rather than the promises of marketing.
Continuing the Conversation
Ella Bets’ latest Knowledge Gem provides a timely contribution to one of the most important discussions currently taking place across virtual production. By grounding the conversation in real workflows and industry practice, it encourages readers to look beyond the hype and consider how AI can support more effective, creative and collaborative production.
We encourage the VPSN community to explore the full Knowledge Gem and join the ongoing conversation about the future of AI in virtual production.
