Human Judgement Remains the Creative Industry's Greatest Asset

At this year’s Cannes Lions International Festival of Creativity, a TIME100 Talk brought together leaders from TIME, Autodesk, Framestore and acclaimed documentary filmmaker Lauren Greenfield to discuss one of the defining questions facing the creative industries: how artificial intelligence is reshaping the future of storytelling.

The discussion offered a refreshing perspective. Rather than debating whether AI will replace creative professionals, the conversation focused on the role that people continue to play throughout the creative process. Technology is evolving rapidly, but creativity, judgement and human experience remain central to every meaningful production.

For educators, studios and emerging talent, this conversation provides valuable insight into where the industry is heading and, perhaps more importantly, how the next generation should prepare for it.

Creative judgement cannot be automated

Artificial intelligence is becoming part of everyday creative workflows. Across animation, film, games and visual effects, AI is already supporting tasks such as ideation, asset management, production planning, editorial workflows and content generation. These technologies are improving efficiency and allowing creative teams to iterate more quickly than ever before.

None of these developments reduce the importance of human decision-making. They simply place greater emphasis on the decisions that matter most.

Every creative project begins with intent. Someone determines why a story should be told, who it is for and how audiences should experience it. Throughout production, teams make thousands of decisions about narrative, performance, pacing, composition, design and emotion. Technology can assist with many aspects of production, but it cannot determine creative purpose or exercise professional judgement on behalf of a team.

As Dara Treseder, Chief Marketing Officer at Autodesk, observed during the discussion, AI may raise the baseline for creative production, but originality and imagination continue to define exceptional work.

Strong creative foundations become even more valuable

As production pipelines evolve, the skills that underpin creative practice become increasingly important.

Emerging professionals often ask which AI tools they should learn. The more useful question is whether they understand the principles that allow them to evaluate the output those tools produce.

Filmmaking, animation, visual storytelling and design have always relied on strong foundations. Story structure, cinematography, editing, composition, colour, performance and audience understanding remain essential regardless of how production workflows change. Professionals who understand these disciplines are better equipped to integrate new technologies because they can make informed creative decisions rather than simply operating software.

This reflects a broader shift taking place across creative education. Technical skills remain essential, but they sit alongside communication, collaboration, critical thinking and adaptability. These capabilities enable creative professionals to work effectively across multidisciplinary teams while navigating technologies that will continue to evolve throughout their careers.

AI reaches far beyond image generation

Public discussion around artificial intelligence often centres on generative images and video. In practice, AI is influencing almost every stage of the production pipeline.

Planning, scheduling, script development, storyboarding, production management, localisation, asset organisation and post-production workflows are all areas where AI is beginning to support creative teams. These applications may be less visible than image generation, yet they are becoming equally significant.

Each stage still depends upon people who understand production, communicate effectively across departments and make informed decisions within increasingly complex workflows. As AI becomes embedded throughout production, creative leadership becomes more important, not less.

Preparing students for this future means exposing them to the realities of modern production while ensuring they develop the professional capabilities that technology cannot provide independently.

Responsibility extends beyond the creative team

The conversation at Cannes also recognised that the future of AI will be shaped by more than technological innovation.

Questions surrounding copyright, intellectual property, transparency and responsible development remain unresolved. These issues affect creators, studios, technology companies and audiences alike.

Building a sustainable creative ecosystem requires collaboration across the entire sector. Technology companies have a responsibility to develop systems that respect creators and provide greater transparency. Studios need clear governance around how AI is deployed within production. Educators play an equally important role by preparing learners to understand both the opportunities and the ethical responsibilities that accompany these technologies. Regulators must continue working alongside industry to establish frameworks that protect intellectual property while supporting innovation.

No single organisation can address these challenges in isolation. The future of creative AI depends upon cooperation between industry, education, policymakers and technology providers.

Preparing the next generation

One message emerged consistently throughout the discussion at Cannes Lions: people remain at the centre of creative production.

That should give confidence to those preparing to enter the industry.

The creative landscape will continue to change. New technologies will emerge, production pipelines will adapt and expectations will evolve. Throughout that change, organisations will continue looking for professionals who can think critically, communicate clearly, collaborate effectively and tell meaningful stories.

Technology will continue to accelerate production. Human creativity continues to define its direction.

For educators, the challenge is no longer simply introducing AI into the curriculum. It is preparing learners to understand where technology creates value, where human judgement remains essential and how both can work together responsibly throughout the creative process.