The requirement for accurate audience measurement led to the creation of separate industry JICs— developed by media owners, agencies, advertisers and trade bodies—used for planning and as credible trading currencies.

However, now as brand advertisers need to be able to optimise campaigns across all audiovisual—and ideally all display—they want full cross-media measurement, and are therefore investing in the Origin platform.

But not all ‘views’ are equal; context is important. While most advertisers understand this, there is a risk that some ascribe the same value to all AV. Broadcasters are understandably wary.

Use of publisher content to train AI models is hotly contested. Unacknowledged scraping, licensing deals, and lawsuits all characterise the publisher-AI company relationship.

However, model training is not the whole story. More and more products rely on up-to-date access to content, and some are direct competitors to publisher offerings.

Publishers can’t depend on copyright to deliver them the value of their IP. They need to track which products are catching on with users for licensing deals to make sense for them, and to ensure their own products keep up with the competition.

The proposal from DCMS to expand the pre-digital “public interest” regime that requires clearance for changes in the equity stakes in print newspapers to online news publishers lacks a firm rationale in 2024.

A plethora of online sources dilute the influence of news brands and their proprietors over British people’s political views, in particular the platforms (X, YouTube, TikTok and Facebook) hosting self-publishing influencers, politicians and political advertising.

The UK's expanded future regime, if enacted, will further chill the appetite of investors for stakes in commercial media, reduce their value and ability to raise capital, and stifle beneficial consolidation.
 

UK news publishers are experimenting with generative AI to realise newsroom efficiencies. Different businesses see a different balance of risk and reward: some eager locals are already using it for newsgathering and content creation, while quality nationals hold back from reader-facing uses.

Publishers must protect the integrity of their content. Beyond hallucinations, overuse of generative AI carries the longer-term commercial and reputational risk of losing what makes a news product distinctive.

Far less certain is the role of generative AI in delivering the holy grail of higher revenues. New product offerings could be more of an opportunity for businesses that rely on subscribers than those that are ad-supported.

We forecast broadcaster viewing share to drop to 52% in 2030 (from 58% in 2023), with the firming of its on demand viewing unable to balance out the decline of live: this is a slight improvement on our past estimates, with decline slowing.

SVOD viewing will begin to plateau in 2025, as video sharing platforms (YouTube, TikTok, Twitch) take an increasing share of engagement.

On the TV set, YouTube will grow strongly: we predict a 90% increase from 2023 to 2030. This is from a low base with broadcasters retaining 70% of viewing on the main screen in 2030

The UK’s choice of policy for rebalancing the relationships between news publishers and tech platforms is on the agenda of the CMA’s Digital Markets Unit for 2025. The UK is expected to steer clear of the pitfalls of Canada’s news bargaining regime, which led Meta to block news, crashing referrals.

In the UK, Google’s relationships with news publishers are much deeper than referrals, including advertising and market-specific voluntary arrangements that support a robust supply of journalism, and dovetail with the industry’s focus on technology (including AI) and distribution.

The rise of generative AI has also ignited the news industry’s focus on monetising the use of its content in LLMs. AI products could threaten the prominence, usage and positive public perceptions of journalism—this might require progress in journalism’s online infrastructure, supported by public policy.

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.

TikTok has been dealt a devastating blow as a US bill has been signed into law forcing owner ByteDance to sell within a year or face its removal from app stores. 

The stakes are higher than in 2020—China's opposition to a divestment will make an optimal sale harder to conclude, so all sides must be prepared for a ban.   

The TikTok bill introduces extraordinary new powers in the context of the US and China's broad systemic rivalry, though online consumer benefits will be limited.  

Big news publishers are pursuing licensing deals with AI companies, chiefly OpenAI. Not all publishers will see a substantial return; while some news may be important for training AI models, not all publisher content will be

Litigation is a threat point when negotiations stall (see the New York Times), but the copyright status of Large Language Models (LLMs) is uncertain. In the UK, there has been no government intervention (on copyright or otherwise) that could facilitate licensing 

Publishers’ bargaining position is strongest when it comes to up-to-date material that could be important in powering some AI consumer products. They should seek deals to support their journalism, while bearing in mind the risk that new products may get between them and their readers