AI integration into production tools throughout media industries will deliver increased productivity for professional content creation. Generally available tools will also improve quality and production speed for individual user-creators.

Roadblocks include the uncertain copyright status of models and their outputs, attitudes of creative workers and consumers, and the AI tech underdelivering versus what was promised. The need to integrate new tools into existing processes is perhaps the biggest brake.

There are stark differences by sector: the opportunities are greatest in games, where costs have ballooned and software engineering is core. Marketing is furthest in exploiting AI, while audiovisual production is more cautious.

As younger viewers continue to migrate from linear TV to online video-sharing platforms, engaging with the audiences on these platforms is no longer simply an opportunity, but a necessity.

However, this ecosystem offers broadcasters limited monetisation opportunities, reduced audience data and worse attribution than the more lucrative broadcast TV model.

In this fragmented media landscape, broadcasters must maximise their digital reach and exploit incremental revenue opportunities, although linear channels and owned-and-operated platforms will continue to provide the bulk of revenues.