AI is frequently described as a threat to cinema, particularly because of concerns about employment, copyright, authorship and authenticity. But there is another possibility.
Loosely inspired by thoughts of Prof. Dr. Marina Hassapopoulou, this blog post considers AI as a potentially powerful tool for cinephiles and emerging storytellers. By lowering the technical and financial barriers to visual creation, AI may allow more people to transform ideas and imagination into expressive and immersive cinematic experiences.
Introduction
Cinema has always depended on imagination, but imagination has traditionally required access to expensive tools, specialized skills and production teams.
A person could carry a story in their head for years without ever being able to bring it to the screen.
AI is beginning to change that relationship.
It doesn’t make everyone a filmmaker, just as owning a camera doesn’t make everyone a cinematographer. What it does is lower the barrier between imagining a cinematic experience and experimenting with one.
For cinephiles, this could be significant.
From watching cinema to making cinema
Cinephilia has traditionally positioned people primarily as audiences: we watch, interpret, discuss and appreciate films.
AI introduces another possibility — participation.
A writer can visualize a screenplay. An independent filmmaker can develop a proof of concept. A student can experiment with animation. An artist can construct an imaginary world. A storyteller can explore characters, environments, camera movements and visual styles without assembling a conventional production infrastructure.
The World Economic Forum reported in 2025 that 90% of surveyed creators had already used AI, compared with 34% in late 2023, while 92% said AI had helped them become more creative while saving time. The report specifically identifies lower technical and financial barriers as one of AI’s opportunities for creative industries.
The significance is therefore not simply that AI can generate content.
It’s that more people can attempt to create.
A global creative shift
The evidence increasingly suggests that this is broader than the film industry.
Adobe’s 2026 global Creators’ Toolkit study, involving more than 16,000 creators across eight countries including India, Japan, South Korea, Australia, the UK, France, Germany and the US, found that 87% of creators using creative AI said it had accelerated the growth of their business or audience. 75% described AI as integrated or essential to their workflow.
Importantly, 85% said the final creative decision should remain with them. This reinforces an important distinction: AI can expand the range of possibilities without replacing human taste, intention and judgment.
The same pattern is visible within media and entertainment. A global Google Cloud survey found that 64% of media and entertainment executives had already moved generative-AI use cases into production, and 72% of those using AI in production reported ROI from at least one application.
Significance for India
India’s media and entertainment sector reached ₹2.78 trillion in 2025, growing 9% in one year, while EY estimates that generative AI could deliver a 15–20% productivity impact across the sector. Around 44% of surveyed Indian M&E organizations are already prioritising AI for content creation and acquisition.
For India’s extraordinarily diverse storytelling culture, the opportunity goes beyond producing content faster. AI could lower barriers for independent filmmakers, regional storytellers, animators and young creators, allowing more ideas and culturally diverse stories to move from imagination to cinematic expression.
For a country with such a large and diverse storytelling culture, the real opportunity may therefore be not simply to produce content faster, but to allow more stories to become visible.
That’s where AI and cinephilia become particularly interesting.
The technology may give more people the means to move from being consumers of cinema to participants in cinematic culture.
AI as a creative partner
The most interesting role for AI may therefore be neither artist nor replacement.
It may be creative partner.
AI can help with ideation, visual development, previsualization, editing, effects and other production processes. Human creators continue to provide the story, cultural context, emotional intention, selection and final judgment.
Recent research on creative work similarly points toward redistribution rather than simple replacement. Adobe’s 2026 research found that creative professionals are increasingly using AI for particular parts of their workflows while human value remains concentrated in direction, selection, collaboration and accountability.
This could be particularly powerful for independent creators, where limited budgets have traditionally restricted what can be visualized and produced.
AI and the ccience of creativity
The potential of generative AI also becomes clearer when viewed through the science of creativity as well.
Creativity isn’t simply the ability to produce something new; it involves processes such as making associations, combining existing knowledge, imagining possibilities, evaluating alternatives and refining ideas.
AI can support some of these processes by rapidly producing variations and possibilities, while the human creator provides intention, meaning, evaluation and direction. In this sense, AI may function less as a replacement for creativity and more as a cognitive and creative stimulus — expanding the space in which human imagination can operate.
The responsibility remains human
None of this removes the serious concerns surrounding AI.
Copyright, consent, likeness, attribution, training data, employment and authenticity require responsible governance. The World Economic Forum therefore argues for a human-centered and transparent approach to AI adoption across media and entertainment.
The answer shouldn’t be technological enthusiasm without responsibility.
It should be greater creative access accompanied by greater creative accountability.
Conclusion
Perhaps the most interesting cultural possibility is that AI could move cinephilia from appreciation towards participation.
The person who has always imagined a science-fiction world, a mythological story, a visual poem or a short film may now have accessible tools with which to explore it.
Not everyone will create great cinema, but more people may get the opportunity to try.
And that matters.
Cinema has repeatedly evolved alongside technology — from sound and colour to digital cameras, CGI and streaming. AI may represent another transition, but its most important contribution could be less about replacing filmmakers and more about expanding who gets to experiment with cinematic expression.
The dream of cinema has always belonged to the imagination.
AI may simply be giving more imaginations a way to enter the frame.
