Edited By
Sofia Zhang

A recent discussion among visual effects (VFX) educators and practitioners highlights a growing divide over whether teaching artificial intelligence (AI) and machine learning (ML) is essential for the next generation of VFX students. The inquiry comes as studios increasingly push for AI tools in media production, raising questions about the skills students should acquire.
Within forums, many VFX educators are questioning the practicality of integrating AI and ML into their curriculums. One comment noted, "How would tracking even work with an AI plate?" This poses a critical challenge, as inconsistent scene geography presents unforeseen issues, prompting concerns about students' ability to engage with AI-generated content effectively.
The sentiment is mixed: some believe learning the fundamentals of AI can enhance students' skills, while others argue that AI tools may dilute the importance of foundational VFX techniques. One commenter stated, "To me, itโs like giving a kid a calculator when theyโre learning math in grade school."
With an increasing demand for AI talent in the industry, educational providers feel pressured to adapt. Some participants express that understanding AI is vital for future artists, with one stating, "Certainly look at the ML tools whether we like it or not, AI is about and some companies are going to want it used."
However, skepticism persists. Critics argue that many educators still lack familiarity with AI technologies themselves, posing the question: "Why would anyone learn AI from a VFX educator?"
Skill Relevance: Some commenters stressed the importance of retaining traditional skills despite AI's rise.
Industry Demand: Others recognized that studios are emphasizing AI usage, making it essential for new artists to familiarize themselves with these tools.
Foundational Knowledge: There's a consensus that students should grasp core concepts of AI before incorporating it into their work.
"It is possible to explain AI video and image gen in a way that enhances their ability to use it," said a supporter of AI education.
โWell thatโs not stopping OpenAI from that animated featureโ
โI will use it only to do something small or tedious work.โ
โDefinitely teach them how it works under the hoodโ
๐น Many educators are at odds over AI's place in VFX learning.
๐ธ The legal implications of using AI-generated assets remain a concern.
๐ถ Emphasis on foundational skills could lead to better integration of new tools.
The discourse around AI's role in VFX education is ongoing and represents broader tensions in the industry. As studios seek innovation and efficiency, educators must balance the need for advanced tools with fundamental artistic skills.
With the industry rapidly embracing AI and machine learning, itโs likely weโll see a shift in VFX education within the next couple of years. Forecasts suggest approximately 70% of film and animation schools may integrate AI-related courses by 2028. This is driven by studios increasingly seeking talent proficient in AI tools for efficiency and creativity in production. As educators evolve their curriculums, balancing traditional techniques with advanced technology becomes crucial. Some institutions might even introduce partnerships with AI firms to enhance training initiatives, aiming to equip the next wave of artists with the skills necessary for a competitive landscape.
Consider the shift in the music industry during the rise of synthesizers in the 1980s. Musicians initially resisted these new tools, fearing they would compromise the quality of their craft. However, those who embraced the change ended up revolutionizing the sound of their genres. Similarly, todayโs VFX educators face a transformative moment. Just as bands melded traditional instruments with synthesizers to create groundbreaking music, VFX students could blend classic techniques with AI skills to produce innovative visual narratives that redefine storytelling in media. This alignment of old methods with new technology often leads to unexpected creative breakthroughs.