AI in Media & Entertainment
Your competitors are publishing three times as much content with the same team size.
You're not losing on quality - you're losing on speed and scale.
Media companies are caught in an uncomfortable squeeze: audiences expect more content across more platforms, advertising revenue is being redistributed, and the cost of production hasn't dropped. The organisations winning right now aren't cutting corners - they're restructuring how content gets made, distributed, and monetised. AI is the operational backbone of that restructuring.
Industry challenges
Your production pipeline was built for one channel
Linear TV, a single website, a quarterly magazine. Now every piece of content needs to live across five platforms in three formats - and the team producing it is roughly the same size it was five years ago. Something has to change.
You know what your audience watched. You don't know why they left.
Viewing data tells you what happened. It doesn't tell you which moment caused the drop-off, which headline variant would have converted better, or which subscriber cohort is three weeks from churning. That gap is where revenue leaks.
Subscription growth has stalled and ad rates aren't recovering
The easy subscriber growth came from COVID-era lockdowns and is gone. Ad rates are under structural pressure from programmatic. The next phase of profitability requires squeezing more value from existing relationships - and that requires data fluency your organisation may not yet have.
AI use cases
Campaign response in hours, not days
From brief to live campaign in 3 hours instead of 3 days - a 96% reduction in response time. AI handles the production grunt work: banner resizing from days to 20 seconds, 200+ video voiceovers re-produced in 2 days, article drafts in an hour instead of a week. Your creative team focuses on ideas, not file formats.
Audience insight that goes beyond demographics
Behavioural signals - what people skip, rewatch, share, and abandon - interpreted to understand what your audience actually wants, not just what they say they do. Commissioning and scheduling decisions grounded in evidence.
800+ custom GPTs - what organic AI adoption looks like at scale
When you give creative teams the right tools and training, adoption compounds. We've seen media organisations create 800+ custom GPTs organically across departments - content generation, audience analysis, ad copy, internal workflows. The difference isn't the technology, it's the structured rollout: training, governance, and use case discovery that turns experimentation into standard practice.
Ad inventory that sells at the right rate
Contextual targeting and yield management that matches inventory to advertiser intent more accurately. You stop leaving money on the table when inventory goes unsold or under-priced.
Show us your content pipeline and we'll show you where it's losing value.
Schedule a free strategy call and discover how AI can transform your industry.