AI in Video Production: What It's Good For, and Where Humans Still Win

AI has changed video production more in the last two years than in the previous decade. Some of it is genuinely transformative. Some of it is hype. As a team that uses AI every day, here's our honest view of where it helps, where it doesn't, and what to watch out for.

Where AI genuinely helps

Transcription and captions

Accurate transcripts and subtitles used to take hours. Now they take minutes, which means every video can be captioned and accessible as standard, and long interviews can be searched instantly during the edit.

Faster, smarter editing

AI tools can find the best takes, remove filler words, reframe landscape footage for vertical formats and produce rough cuts quickly. That frees editors to spend their time on story, pacing and emotion, the parts that matter most.

Audio clean-up and enhancement

Background noise, echo and inconsistent levels can now be fixed far more effectively than before. It isn't a substitute for good sound on the day, but it can rescue an important interview recorded in a difficult space.

Translation and localisation

Subtitles in multiple languages, and increasingly translated voiceovers, make it much more affordable to reach international audiences.

Planning and scripting support

AI is a useful thinking partner for brainstorming concepts, structuring scripts and generating shot lists. We always treat its output as a first draft, not a finished product.

Organising footage

Big projects can generate hours of material. AI tools can tag clips by content, find every shot of a particular location or person, and pull out key quotes from transcripts. On a multi-day shoot, that alone can save an editor a great deal of searching.

What it looks like in practice

Here's how AI might fit into a typical interview-led project, step by step:

• Before the shoot: AI helps draft interview questions and a shot list, which the producer then rewrites based on what they know about the client and contributors.
• On the day: very little changes. A human crew lights, frames, records sound and puts people at ease.
• After the shoot: interviews are transcribed automatically, so the editor and client can read them and mark favourite quotes.
• The edit: AI helps assemble a first rough cut from the selected quotes. The editor then shapes it by hand, adjusting rhythm, emotion and story.
• Finishing: AI assists with noise reduction, captions and vertical versions, all checked by a person before delivery.

The result is the same human-led film, delivered faster, with more of the budget spent on the creative decisions that make the difference.

Where humans still win

• Trust and authenticity: audiences connect with real people telling real stories. Synthetic presenters rarely build the same trust.
• Directing people: putting a nervous contributor at ease and drawing out a genuine story is a human skill.
• Taste and judgement: knowing what to leave out, when to hold a moment and what will resonate with your audience.
• Strategy: understanding your business, your customers and what the video needs to achieve.

There's also the simple matter of being there. AI can't notice the moment a contributor's voice catches, ask a gentle follow-up question, or spot the beautiful light falling across a workshop at four in the afternoon. Those moments are often what makes a film memorable.

Common mistakes when using AI for video

• Publishing unchecked captions: names, place names and technical terms are frequently wrong. Always proofread.
• Letting AI write the whole script: the result tends to sound generic. Use it to get started, then make it sound like you.
• Over-processing audio: heavy clean-up can make voices sound thin or robotic. A lighter touch usually sounds more natural.
• Relying on generated visuals for real stories: if you're showing your work, your people or your impact, show the real thing.
• Skipping the terms and conditions: some tools have restrictions on commercial use or keep rights over what you upload.

Questions to ask a production partner about AI

If you're commissioning video, it's reasonable to ask how a supplier uses AI. Useful questions include: which tools do you use, and for what? Where is our footage stored and processed? Will any of our material be used to train AI models? Who checks AI-generated captions and translations? Will you tell us if any part of the finished film is synthetic? A good partner will answer clearly and without fuss.

Quick answers to common questions

Will AI make video production cheaper? In many cases it can reduce the time spent on repetitive tasks such as transcription, captioning and rough cuts. The creative and human parts of the job still take time, and they're where most of the value lies.

Can we use an AI presenter instead of filming our team? You can, but think carefully. For internal training or simple updates it may be acceptable. For anything that relies on trust, such as recruitment, testimonials or brand films, real people almost always work better.

Do we need to tell viewers we used AI? Expectations and platform rules vary and are still developing. As a sensible default, be open about anything that could mislead viewers if they didn't know, such as a synthetic voice or a generated scene.

Our approach

We describe it as: human at the helm, AI in the engine room. We use AI to make production faster and more affordable, which means more of your budget goes into the things that make video work. The story, the people and the final judgement stay firmly human.

AI tools will keep improving, and quickly. The fundamentals won't change much: know your audience, tell a true story, respect the people in it and check your work. Use AI to serve those principles, and it becomes a genuinely useful part of the toolkit rather than a shortcut that costs you trust.