The Future of Storytelling: Balancing AI and Human Creativity

Last month, Jane Millichip, CEO of BAFTA, described this as a “year of bold, strong storytelling.” She told Sky News, “This year, filmmakers have really gone for it in a big way.”

She’s right! But is AI proving itself to be a powerful ally to that ambition, or is it replacing imagination, heart, and soul?

In many ways, AI is proving to be supportive of the creative industries. It automates routine copy and marketing content. It streamlines production workflows. “Off-the-shelf” tools are freeing writers, producers, and editors from administrative drag.

In film and media, AI has quietly supported video editing, rotoscoping, and CGI for years. Platforms like Cinelytic and ScriptBook help studios analyse scripts, forecast performance, and make more informed investment decisions. Layered with data analysis, audience sentiment, ticketing trends, and visitor flow, AI enables smarter pricing, sharper programming, and a more responsive relationship with audiences.

Combined with AR and VR, it is even reshaping the experience itself. In my piece Is this the future of entertainment? about U2:UV Achtung Baby Live at Sphere, AI-generated immersive storytelling became something to step into and experience, rather than observe.

The Tension Between AI and Human Creativity

It was only two years ago that we saw actors and writers shut down US film and TV, demanding protections. Earlier this month, we saw Brad Pitt fighting Tom Cruise in what appeared to be an authentic video clip, and people were worried. It looked real.

At the same time, we’ve seen Tom Hanks and Harrison Ford de-aged using AI, and we didn’t complain.

Where is the Balance?

And yet, for all its efficiency and promise, AI introduces a creative tension that we cannot ignore. This tension affects media consumers and those of us who write fiction in our spare time. Storytelling is not simply the assembly of structure, pacing, and dialogue; it is the expression of heartfelt and soul-singing lived experience.

AI can replicate patterns of compelling narratives, but, for now, it does not possess memory, instinct, or emotional contradiction. The result is often work that feels technically sound but spiritually thin: stories that resolve too neatly, characters who lack friction, and tension that never quite tightens its grip. AI can imitate a voice, but it cannot originate a perspective.

There is a growing ethical fault line beneath the surface. AI systems are trained on vast bodies of human-created work, often without explicit consent. Writers, actors and news organisations are alleging their work has been stolen to train AI. The recent lawsuit filed by Julia Angwin, founder of The Markup, against Grammarly and its owner Superhuman, underscores the concern that writers’ identities and outputs are being leveraged commercially without permission. This is not merely a legal issue; it strikes at the core of authorship and ownership in the digital age.

That unease is echoed in the literary world. Clementine Collett’s 2024 report, The Impact of Generative AI on the Novel, reveals an industry that is neither resistant nor naive, but wary.

Novelists and publishers are already experimenting with generative tools, but they are urgently calling for guardrails. The concern is not that AI will fail, but that it will succeed too well in producing competent, scalable content, diluting the distinctiveness that defines great literature.

The Limitations are clear

AI still struggles with deep emotional layering, moral ambiguity, and the subtle interplay of silence and subtext. Suspense requires restraint and timing, qualities rooted in human intuition rather than probabilistic prediction.

Also, we know that AI systems can introduce implicit biases, shaping narrative outcomes in ways that affect character agency and conflict resolution. These are not surface-level flaws; they influence the very architecture of storytelling.

This week's news headlines are filled with details of a new novel by US author Mia Ballard that has been pulled from release. The New York Times reported it "appears to be the first commercial novel from a major publishing house to be pulled over evidence of AI use."

Looking ahead, these systems will improve. Emotional modelling will become more sophisticated, dialogue more nuanced, and biases more actively mitigated. AI is already becoming an increasingly capable collaborator. It can accelerate drafting, explore variations, and support world-building at scale.

Storytelling, at its core, is an act of meaning-making. It emerges from contradiction, vulnerability, and lived experience; elements that cannot be scraped, indexed, or generated. Audiences may not always articulate it, but they recognise authenticity when they encounter it. They respond to the weight behind the words, not just the words themselves.

Even within the industry, there is an awareness, sometimes expressed with humour. In his opening dialogue at Sunday’s Academy Awards, Conan O'Brien joked he might be “the last human host,” suggesting that next year’s ceremony could be fronted by a driverless car in a tux.

It lands because it feels plausible, but also because it highlights what would be lost.

The Path Forward

The future of storytelling will not be defined by a choice between human and machine. Instead, it will be about how carefully we preserve the former while harnessing the latter. And that matters.

'The Terminator' in our story isn't about to be destroyed, and this doesn't appear to be a story that will resolve neatly. Tension won't tighten its grip unless action is taken. If guardrails are not set quickly, if machines are permitted to steal the work of creatives without authorisation or legal consequence, we lose everything.

AI might be able to make storytelling faster, broader, and more adaptive. But only humans make it matter.