AI and UK Screen Production: We Need to Talk About What’s Happening Now, Not in Ten Years

I keep hearing the same thing from colleagues in screen production, post, and education: “AI is moving so fast, we can’t keep up.”
And honestly? They’re right.

In the last 18 months, AI has gone from being a side experiment to something that’s quietly embedded in the everyday workflows of the UK’s screen industries. It’s there when a researcher drafts background notes for a documentary pitch. It’s there when a production manager uses scheduling software that optimises call sheets in seconds. It’s there in the post suite when an editor runs speech-to-text to make logging faster.

But here’s the thing — none of this is science fiction anymore. It’s happening in Soho, in Salford, in Cardiff. And it’s changing how we work, who we hire, and what skills we need.

That’s why I’ve just published a position paper looking at AI’s impact on production workflows, roles, and skills in UK screen media — and what this means for Higher Education. It’s built on recent research, including the excellent Working with AI study (Han et al., 2025), as well as UK policy updates from Ofcom, Pact, Equity, and the Creative Industries PEC.

Some takeaways:

• Junior research roles are shifting from pure content-gathering to AI-augmented research + verification. This needs new teaching approaches like “prompt-to-pipeline” craft and stronger rights clearance training.
• Production management is speeding up, but the human oversight piece is non-negotiable. We need to teach future coordinators not just how to use AI, but how to audit its outputs for fairness and compliance.
• Post-production ethics are a live issue — especially around performer likeness and synthetic voices. That’s going to need legal and contractual literacy built into creative education from day one.
• Provenance and disclosure are coming — sooner than we think. “AI assistance logs” may become as standard as call sheets.

If you’re in HE, this isn’t just about bolting on a guest lecture about AI tools. It’s about redesigning curricula so graduates are fluent in AI-assisted production and the ethics, law, and editorial judgement that go with it.

We’ve got a short window to get this right. If we don’t, we risk sending graduates into a market that’s already moved on without them.

📄 Read the full position paper here: [DOWNLOAD]

And then tell me — are we adapting fast enough, or is this going to be another case of the industry running ahead while education scrambles to catch up?