Can AI really Replace Actors? What Machines Still Can’t Do

Artificial intelligence is changing how films are written, shot, edited and even imagined. But as AI-generated characters become increasingly convincing, one question is becoming harder for the film industry to avoid: can a machine eventually replace the actor at the centre of a story?

Nigerian filmmaker Akay Mason believes the answer is no.

Mason, speaking about the growing use of artificial intelligence in filmmaking, argued that technology may become an important tool for filmmakers but cannot reproduce the human connection that actors bring to a performance. His position comes as AI-generated video and synthetic voices become increasingly sophisticated and begin appearing in different parts of the entertainment industry.

The debate is no longer about whether AI will enter filmmaking. It already has.

The bigger question is what happens to the people whose work AI can imitate.

What exactly does an actor bring to a film?

An actor does more than say lines written in a script.

A performance depends on how a person interprets a character, reacts to another actor, uses silence, changes facial expressions and responds to what is happening around them.

Two actors can receive the same script and produce completely different performances because they bring different experiences and interpretations to the characters.

That is one of the strongest arguments against the idea that generating a digital person is the same thing as replacing an actor.

AI can produce a character that looks realistic. It can generate a voice and make a digital character move, speak and react.

But a convincing appearance is not necessarily the same as a convincing performance.

This distinction is becoming increasingly important as filmmakers experiment with AI-generated scenes and characters.

AI is already changing filmmaking

The technology is not simply a future possibility.

Filmmakers are already using AI for tasks such as visual effects, previsualisation, editing assistance, dialogue work and creating environments that would otherwise require expensive production.

A recent report on AI filmmaking noted that the technology is increasingly being used as a production tool rather than as an entirely autonomous filmmaker.

In Nigeria, filmmakers have also been pushing for greater support for responsible AI use in Nollywood. Industry practitioners have argued that AI could help reduce production costs and give filmmakers access to tools that were previously too expensive. They have also stressed that the technology should complement, rather than replace, human creativity.

That distinction matters.

A filmmaker could use AI to create a background, visualise a scene or reduce the cost of a particular production process without eliminating the actors, directors, writers and other professionals responsible for telling the story.

But actors have something AI can imitate, not experience

The strongest challenge for AI may be emotion.

A human actor has lived through experiences that can influence how they understand a character.

An actor playing a grieving parent, for example, does not simply need to produce a facial expression associated with sadness. The performance may require subtle decisions about when to speak, when to remain silent, how to look at another character and how grief changes throughout a scene.

Those decisions are part of the interpretation.

AI can analyse thousands of examples of human behaviour and generate a response that looks convincing. But it does not experience grief, love, jealousy, fear or loss in the way a human being does.

That difference can become particularly obvious in scenes where the performance depends on small, unpredictable interactions between actors.

A good performance is often not simply about what is written in the script. It is also about what happens between the lines.

The real threat may be jobs, not acting itself

That does not mean actors have nothing to worry about.

The entertainment industry is already seeing concerns over AI-generated voices and digital replicas.

Hollywood voice actors, for instance, have been divided over AI voice cloning, with established performers sometimes licensing replicas of their voices while other actors fear that synthetic versions could reduce opportunities for human performers.

This creates a more complicated picture than “AI will replace actors” versus “AI cannot do anything.”

AI may not need to completely replace actors to disrupt the profession.

If studios can use synthetic performers for advertisements, background roles, demonstrations, low-budget productions or other forms of content, some jobs could disappear even while human actors remain essential for major performances.

The question then becomes who controls the technology and how performers are compensated when their faces, voices or peformances are reproduced digitally.

Why this matters for Nollywood

For Nollywood, the AI debate comes with another concern: authenticity.

Nigerian films are often built around language, culture, expressions, mannerisms and social experiences that cannot simply be separated from the people who understand them.

An AI-generated character may be able to speak Igbo, Yoruba or Hausa. It may even reproduce familiar clothing, locations or cultural settings.

But producing something that looks Nigerian is not necessarily the same as understanding what makes a Nigerian story feel authentic.

That is where human filmmakers and actors remain important.

AI could help a young Nigerian filmmaker create a visual effect that would previously have required a large budget. It could help with pre-production, storyboarding or editing. It could also make certain types of filmmaking more accessible to creators who cannot afford traditional production equipment.

But the technology does not automatically provide the cultural knowledge, taste or emotional judgement required to turn those tools into a compelling film.

So, can AI replace actors?

Not completely, at least not simply because it can generate realistic digital people.

The more immediate reality is that AI is likely to change what actors do and how filmmakers use them.

Some routine or lower-cost roles could be affected. Voice cloning and digital replicas could become more common. Studios may also use synthetic performers where they believe audiences will accept them.

At the same time, human actors could remain valuable precisely because audiences know there is a real person behind the performance.

This may eventually create a divide between AI-generated entertainment and human-led cinema, with audiences choosing between the efficiency of synthetic production and the emotional connection of human performance.

Mason’s argument therefore goes beyond whether AI can make a person appear on a screen.

It raises a more fundamental question about filmmaking: is a believable image enough to make audiences care?

AI can generate a face, a voice and increasingly sophisticated performances.

But making an audience believe in a character, empathise with them and remember them after the credits roll may remain one of the things that humans do best.