AI-Ready Creative Professionals: Rethinking Talent for Animation, VFX and Gaming

By Sandip Weling, Whole-time Director & Chief Business Officer, Global Retail, Aptech Ltd.

An animator can now explore multiple character designs in the time it once took to develop a single concept. A game designer can experiment with new environments before production begins, while a VFX artist can use AI-assisted tools to test visual possibilities more quickly.

Across animation, visual effects (VFX), gaming and filmmaking, artificial intelligence is changing the pace of creative production.

But speed is only one part of the story. When technology makes generating content easier, the real differentiator becomes the ability to recognise what is worth creating, refine it and turn it into something original. This is the shift the creative industry needs to prepare for.

The World Economic Forum’s Future of Jobs Report 2025 identifies AI and big data among the fastest-growing skills in importance, alongside technological literacy, creative thinking and adaptability. The next generation of professionals will need more than proficiency in individual AI tools.

They will need to combine technical knowledge with creative judgement, problem-solving and an understanding of how ideas move from concept to final production.

From using AI to understanding the workflow

Artificial Intelligence can support creative production by helping develop visual references, explore storyboards, generate initial concepts and automate repetitive tasks. However, compelling creative work requires more than technically impressive outputs.

Characters must convey the right emotions, game environments must enhance player experiences, and VFX sequences must align with the larger narrative.

These decisions demand a deeper understanding of storytelling, design, composition and the creative intent behind the work.

This makes it essential for creative education to move beyond software proficiency towards workflow thinking, helping students understand how different production stages connect, where AI adds value and where human judgement remains critical.

Similarly, employers must look beyond familiarity with specific tools when evaluating talent and assess candidates on their creative problem-solving abilities, collaboration, adaptability and capacity to respond to evolving production requirements.

When everyone can generate, judgement becomes the differentiator

Generative AI can produce multiple versions of an idea, but more options do not automatically lead to better work. Consider a game inspired by an Indian folklore.

Artificial Intelligence may help a designer explore characters, landscapes and visual styles.

However, creating a distinctive experience requires an understanding of cultural context, narrative consistency and the audience the game is intended to reach.

The designer must decide what to retain, what to change and what should be developed further.

The same principle applies to animation, filmmaking and visual effects. AI can assist with experimentation, but creative professionals must be able to evaluate the results rather than accept them at face value.

They also need to understand copyright, consent, ownership, bias and the appropriate use of source material.

These considerations become particularly important when commercial projects involve original characters, distinctive visual styles or intellectual property.

For the creative industries, this reinforces an important point: technological capability and creativity are not competing priorities. Professionals need both to make informed decisions and produce work that stands apart.

Rethinking how creative talent is trained

Preparing students for AI-enabled production requires more than introducing new software into existing curricula. Artificial Intelligence must be integrated into practical assignments while preserving strong creative fundamentals.

Whether in animation, game design or VFX, students should learn to use AI for ideation and early-stage development while being assessed on storytelling, design, gameplay, visual quality and technical execution.

Evaluation must also consider the creative process, including how students assess alternatives, refine outputs, justify decisions and demonstrate independent skills beyond AI-generated first drafts.

Training institutions must complement curriculum updates with faculty development, industry-relevant assignments and practical exposure through industry interactions, mentorship and portfolio reviews.

These initiatives can help students understand professional production expectations and develop the adaptability required in evolving creative environments.

The goal is not to make Artificial Intelligence the centre of creative education, but to equip students to use it effectively while retaining the independent thinking, creative judgement and core skills essential to their craft.

India’s opportunity: Building a stronger creative talent pipeline

For India, the question of AI readiness is closely connected to the future of its creative economy.

The Union Budget 2026–27 highlighted the potential of the animation, visual effects, gaming and comics sector, projecting a requirement for around two million professionals by 2030.

It also proposed AVGC Content Creator Labs in 15,000 secondary schools and 500 colleges, with support from the Indian Institute of Creative Technologies, Mumbai.

These measures aim to expand access to creative skills and strengthen the talent pipeline. Source: Ministry of Information and Broadcasting, Government of India.

The opportunity, however, goes beyond training more people to operate creative software. India also needs professionals who can contribute to original intellectual property, develop distinctive stories and collaborate across disciplines.

As AI makes experimentation more accessible, creators may find new ways to explore ideas rooted in India’s diverse cultures and storytelling traditions.

Turning those ideas into compelling, commercially viable work will still require strong creative and technical foundations.

For education providers and industry leaders, this means connecting training with real production requirements. Students need access to relevant tools, but they also need practical experience, feedback and opportunities to demonstrate their abilities.

Portfolios can play an important role here. Alongside polished final work, students should be encouraged to show concept development, iterations, problem-solving and the decisions behind the outcome.

This gives employers a better understanding of how a candidate thinks, not just what they can generate.

Preparing for what comes next

AI tools will continue to evolve, and today’s workflows may look different in just a few years.

Preparing talent for this environment means building capabilities that remain useful even as specific applications change: creative thinking, technical understanding, adaptability and the ability to learn continuously.

For educators, the priority is to bring technology into learning without compromising foundational skills.

For employers, it is to recognise the value of professionals who combine technical proficiency with originality and sound judgement. For aspiring creators, it is to experiment, question and keep developing their craft.

The next generation of creative professionals should not be measured simply by how quickly they can generate an output, but by what they can do with it.

AI can accelerate parts of the creative process. The opportunity for India lies in building talent that can use that acceleration to produce work with originality, purpose and lasting value.

Also Read: Aptech FTII Partnership to Train Future Filmmakers Through Three Creative Learning Models