Where AI Is Actually Changing Video Production
There’s a lot of noise around AI and jobs. Most of it is either alarmist or overly optimistic, depending on who’s talking. In reality, what’s happening is simpler — and more interesting.
AI isn’t wiping out industries. It’s removing friction.
And when you remove friction from a process, two things happen: some roles disappear, and everything else moves faster. That’s exactly what we’re seeing now in video production.
The question isn’t whether AI will replace production. It won’t.
The question is where the value shifts to once parts of the process become easier, cheaper, and faster.
The First Things to Go
Every industry follows the same pattern when new technology arrives. The work that disappears first is the work that can be broken down into steps and repeated.
In production, that tends to sit at the edges.
The early signs are already obvious. Tasks that used to take hours — logging footage, generating transcripts, cutting basic versions for different formats — now take minutes, or happen automatically in the background. Rough edits can be assembled instantly. Social cutdowns can be generated without touching a timeline.
None of this is particularly controversial. It’s just efficiency.
But efficiency has consequences. If something becomes faster, it becomes cheaper. If it becomes cheaper, it becomes less specialised. And if it becomes less specialised, fewer people are needed to do it.
That’s where the pressure is building: not at the top of the industry, but at the entry points. The roles that once allowed people to come in, learn the craft, and move up are compressing. The ladder is still there — it’s just missing a few rungs.
What Isn’t Going Anywhere
At the same time, the parts of production that matter most haven’t moved at all.
AI can generate images. It can write scripts. It can even assemble sequences that look convincing on first glance. But it still doesn’t understand taste. It doesn’t understand performance. It doesn’t understand the difference between something that looks right and something that feels right.
And that gap matters.
Because while AI is making it easier to produce content, it’s also flooding the market with work that looks broadly similar. The more that happens, the more valuable it becomes to create something with intention behind it — something shaped, directed, and controlled.
In other words, as content becomes easier to make, craft becomes more important, not less.
reates a new layer of roles — and they tend to sit slightly outside traditional job descriptions.
What’s emerging now isn’t a replacement for production, but an expansion of it. People who can move between creative thinking and technical execution are becoming more valuable. Not because they can operate tools, but because they understand how to use them in context.
There’s a difference between generating something and knowing why you’re generating it.
That’s where the new opportunities sit.
We’re already seeing this in early forms — people building workflows that combine AI tools with traditional production, using them to explore ideas faster, to visualise concepts before a shoot, or to extend what’s possible in post. None of this replaces the process. It just reshapes parts of it.
And importantly, it shifts time away from repetition and toward decision-making.
What This Means for Production Companies
For production companies, particularly in a market like London, the shift is quite stark.
The middle is disappearing.
On one side, you have high-volume content — fast, efficient, increasingly automated. On the other, you have high-end production — work that is carefully directed, crafted, and built around ideas that require control and nuance.
Trying to sit between those two is becoming harder.
The opportunity isn’t to compete with AI on speed or cost. That’s a race you don’t win. The opportunity is to use it where it makes sense, and double down on the parts of the process where it doesn’t.
That means:
- Better ideas
- Stronger direction
- More considered execution
Because those are the things that don’t scale easily — and therefore don’t get commoditised.
The Real Shift: From Execution to Judgment
What’s actually changing is not the need for production, but the nature of the work within it.
Execution is becoming easier. Judgment is becoming more valuable.
Knowing how to cut something together is useful. Knowing what should be cut, and why, is where the value sits. The same applies across the board — from scripting to shooting to post.
As the tools improve, the technical barrier lowers. But that doesn’t level the playing field. It shifts it.
The differentiator is no longer access to equipment or software. It’s perspective.
For People Entering the Industry
There’s a tendency to see this shift as a threat, particularly for people starting out. And in some ways, it is. The traditional pathways into the industry are changing.
But there’s also a clear opportunity.
The people who will do well in this environment are the ones who don’t separate creative and technical thinking. The ones who are comfortable experimenting, building workflows, and adapting quickly as tools evolve.
Learning AI tools is useful. But it’s not the end point. It’s the baseline.
What matters is how you apply them — how you combine them with taste, with storytelling, with an understanding of what an audience actually responds to.
Final Thought
AI is not the end of video production. It’s the end of certain inefficiencies within it.
It removes the slow, repetitive parts of the process. It compresses timelines. It lowers the cost of entry. But in doing so, it increases the importance of everything that can’t be automated.
Ideas. Direction. Taste. Human connection.
Anyone can now generate content.
But not everyone can make something worth watching.
And that distinction is only going to become more important.
