Who owns the future of creativity?
Imagine being able to develop a film idea, plan the scenes, create a storyboard, experiment with sound, produce a rough visual sequence and test a marketing campaign without needing the budget of a major production company. Artificial intelligence is making parts of that process more accessible. Independent filmmakers, musicians, animators, writers and small creative businesses can now experiment with tools that once required specialist teams or expensive equipment.
But a new tool does not automatically create a fairer industry. Who owns an AI-assisted image, voice, soundtrack or character? What happens when a performer discovers that their likeness has been recreated without permission? Can a small production company use AI to reduce costs without undermining the people whose work gives a film its value?
These questions are not theoretical. The British Film Institute’s guidance on AI in funded projects, updated in January 2026, says applicants and funded organisations must be transparent about AI use and remain responsible for copyright and other rights. It also warns about inaccurate outputs, bias, data breaches and generic content that can weaken creative originality. Read the BFI guidance.
What is changing?
AI can assist with research, script development, storyboarding, subtitles, translation, editing support, sound design, visual effects, accessibility features and audience research. Some tools generate images, music or video; others help organise material or speed up repetitive tasks. The usefulness depends on the project, the tool’s terms, the quality of human review and whether the production has permission to use the material supplied to the system.
AI should not be presented as a replacement for an entire film crew. A technically impressive result may still lack emotional truth, cultural understanding, continuity or a coherent artistic vision. Directors, performers, writers, editors, composers, production designers and other specialists bring judgement and experience that cannot be measured simply by how quickly a tool produces an output.
The strongest question is not, “Can AI make a film?” It is, “Which part of the filmmaking process could AI improve, for whom, at what cost, and with what safeguards?”
Who benefits — and who could lose out?
Independent creators may benefit if AI reduces the cost of experimenting, enables small teams to produce professional prototypes or improves accessibility. A writer could visualise a pitch before approaching a producer. A music creator could test alternative sound textures. A community group could make a short documentary with captions and accessible promotional material. A small production company could use AI to organise footage or explore distribution options.
However, the benefits are not distributed equally. People with stronger equipment, digital skills, reliable internet access and money for subscriptions may gain an advantage. Freelancers may be asked to produce more work for the same fee. Artists may find their work used in training datasets without clear permission or compensation. Synthetic voices and images can also mislead audiences or imitate real people.
AI therefore creates a business opportunity in more than content generation. There is a need for training, ethical production support, clear consent processes, rights documentation and independent evaluation of what these tools actually deliver.
Copyright, consent and creative ownership
Copyright and AI policy in the UK remains an evolving area. The government’s consultation on copyright and artificial intelligence closed in 2025, and a report and impact assessment were published in March 2026. The issues include transparency over the use of protected works, control over training and payment for use, as well as computer-generated works and digital replicas. Creators should not assume that every question has been settled in their favour. See the government’s copyright and AI page.
In practice, a production should record what material it owns, what it has licensed, what it has generated, and what permissions it has received. A performer’s voice, face, movement, personal story or identifiable image should not be treated as freely available just because a tool can imitate it. Written agreements should explain the intended use, duration, platforms, editing rights, payment arrangements and whether synthetic alteration or reuse is allowed.
For projects involving children, disabled people or adults who may be at risk, consent must be meaningful, accessible and appropriate to the circumstances. A signature alone may not answer every safeguarding question. Participants should understand the project in a format they can use, be able to ask questions, and know what choices they have. Where appropriate, additional safeguarding procedures and support should be agreed before filming or recording begins.
What could a responsible creative AI business look like?
A practical opportunity is to help independent creators use technology without losing control of their work. Instead of building a costly new AI model, a small company could start with existing tools, offer supervised workshops, help teams document permissions and compare production workflows, and produce evidence showing whether the tools improve quality, access or cost.
The business would sell expertise and a trusted process, not promises that AI will make every project cheaper or more profitable. It could serve independent filmmakers, music labels, arts organisations, community projects, education providers and production companies that need help testing tools responsibly.
This approach also creates room for people who are often overlooked in the industry. Neurodivergent creatives and disabled artists may have different communication, sensory, mobility or working requirements. Technology can remove some barriers, but only when creators are involved in designing the workflow and deciding what support is useful.
Three questions before adopting AI
- Does it solve a real problem? Test whether the tool improves a defined task such as captioning, pre-visualisation, sound editing or organising production notes.
- Are the rights clear? Check the tool’s terms, source material, commercial-use conditions, privacy settings and permissions for every identifiable person or protected asset.
- Does the human creative team remain in control? Keep a named person responsible for checking outputs, approving the final work and responding to complaints or errors.
What if the technology changes again?
A responsible business should not depend on one AI platform or assume that its current terms will remain unchanged. Tools can change their prices, features, ownership terms and data policies. A project should keep source files, maintain a record of decisions, use exportable formats where possible and avoid uploading confidential scripts, unreleased music or sensitive participant information without a clear lawful basis and appropriate safeguards.
The business should also be prepared for a tool to fail a test. If AI-generated visuals take longer to correct than conventional production, if the results are too generic, or if the legal uncertainty is too great, the team should use another method. The goal is not to use AI everywhere; it is to make better creative decisions.
What is the wider opportunity for the UK?
The opportunity is to build a creative sector in which smaller organisations can test new technology, learn from one another and share evidence about what works. The BFI’s sixth National Lottery Innovation Challenge, “In Our Hands”, is specifically concerned with helping independent screen-sector creatives access emerging technologies, including generative AI and virtual production. Its published guidance describes a programme for a not-for-profit lead organisation to support at least ten independent creatives, share learning publicly and address barriers such as cost, skills, copyright and ethical use. The call describes a maximum award of £400,000 and a delivery period of 24 months; applicants must check the current application status and requirements before preparing a bid. Read the BFI Innovation Challenge Call 6 guidance.
A separate Innovate UK Business Connect iX challenge, “AI Attribution and AI Authenticity for Ethical Cultural Content”, is listed as open from 6 October to 13 November 2026. It seeks UK-based or UK-establishing innovators working on issues such as creative-content provenance, rights, compensation and authenticity. The page describes possible pilot support of £25,000–£50,000 per selected solution, with final funding and contracting agreed directly with the challenge holder. This is a specific commercial challenge, not a general grant available to every filmmaker. Read the iX challenge details.
These opportunities point towards a useful principle: a strong proposal must demonstrate a defined need, a credible delivery plan, rights-aware practice, appropriate partners and evidence of benefit. “We want to use AI to make films” is not enough. “We will help independent creatives test accessible production tools, retain ownership of their work and publish evidence about cost, quality and risk” is a clearer proposition.
Conclusion: the future is not just about making content faster
AI could help more people participate in film, music and storytelling. It could make experimentation cheaper, improve access and give small teams new ways to communicate their ideas. It could also concentrate power, weaken creative livelihoods, reproduce bias and make it harder to know who created or authorised a piece of content.
The future of entertainment should not be decided by technology companies alone. Creators, performers, audiences, funders, production companies and communities all have a stake in the rules. The most promising projects will combine creative ambition with transparent permissions, fair treatment, accessibility and human responsibility.
For a small creative organisation, the sensible first step is not to build an expensive platform. It is to run a carefully scoped pilot, use tools that already exist, document consent and rights, pay contributors fairly, measure the results and share the lessons. The future of creativity will belong not simply to those who can generate the most content, but to those who can build trust around the work.
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