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.

Advertising income has been the lifeblood of commercial TV for decades, but declining linear audiences—combined with digital video alternatives—mean the TV advertising model must evolve to ensure it remains as potent a medium for brands as ever.

Lack of effective audience measurement and somewhat opaque advertiser/agency/sales house relationships are hampering linear TV advertising revenues. Both issues need resolving to underpin a healthier ecosystem overall.

Flexibility is key to this evolution. A move to audience buys across most linear and BVOD inventory would provide greater flexibility and targeting for advertisers, and would sit alongside some premium context buys. A greater onus on volume deals would give broadcasters more certainty to invest in content and their advertising propositions.