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Trump II is already proving to be a more serious threat to an independent, robust news media than Trump I.

Trump’s direct power around news media is limited, but the threat comes from an unprecedented politicisation of federal regulators, enforcement and procurement—to favour friends and punish enemies.

Opposition to Trump II is weaker and more divided than the broad ‘resistance’ to Trump I. Big tech companies are going for a close embrace, hoping to steer policy to their advantage—while others bend the knee to avoid punishment.

Podcast reach and share continue to grow, albeit slowly, aided by need-state differentiation and increasingly online, on-demand media habits.

The ad market remains small with the long tail of podcasts difficult to monetise, but an industry move into video—on both YouTube and Spotify—offers substantial reach and monetisation opportunities.

Publishers and broadcasters see podcasts as an essential brand extension enabling greater reach, whilst successful podcast networks have tapped into more relaxed, commercial formats.

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.

On 4 June 2024, Enders Analysis co-hosted the annual Media and Telecoms 2024 & Beyond Conference with Deloitte, sponsored by Barclays, Salesforce, the Financial Times, and Adobe. 

With over 580 attendees and over 40 speakers from the TMT sector, including leading executives and industry experts, the conference focused on how new technologies, regulation and infrastructure will impact the future of the industry. 

This is the edited transcript of Session Four, covering: artificial intelligence, the new phase of online advertising, and closing remarks. Videos of the presentations are available on the conference website.

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

 

Meta's China risk is overstated: the spend from Chinese advertisers is diverse and resilient to everything short of a full-blown trade war. 

Apple (and Tesla) are in the more precarious position of selling directly in-market, and face sharpening domestic competition.

Amazon's exit from selling in China still leaves it exposed: its marketplace strategy is built on Chinese sellers, whose potential routes to market are proliferating with local platforms going global.  

In a reform of the competition regime for digital markets, by 2025 the UK will have conduct regimes for platforms including Google, Meta and Apple, overseen by the Digital Markets Unit.

Nested within could be a ‘fair bargaining’ regime for platforms and news groups, following Australia and Canada, whose lessons could be valuable to preserve platforms’ incentives to serve news. In Canada, platforms are refusing to pay to serve news links to their users, and plan to exit this form of content.

Financial transfers to UK news groups by platforms is among the new UK regime’s aims, but is unlikely to make up for the declining revenue trend of local news provision whose sustainability is most at risk.

A new era is starting for the big consumer tech companies, as they venture outside of their traditional comfort zones to bet on future growth—most obviously in AI, and then cloud, gaming, headsets and video.

Competition in the tech space is intensifying as incumbents go head-to-head in new revenue growth areas also populated by insurgent startups—their M&A watched closely by competition regulators.

Fat profit margins have ensured vast financial resources are available to pour into competition, but hitting the right targets for consumer engagement is key to success.

Recent developments in AI have ignited a frenzy in the tech world and wider society. Though some predictions are closer to sci-fi, this new phase is a real advance.

We view AI as a ‘supercharger’, boosting productivity of workers. The impact is already being felt across media sectors, including advertising and publishing.

Firms thinking about using AI should assess which tasks can be augmented and what data is required. Be prepared for unpredictable outputs and a changing legal and tech landscape.

UK news publishers have rushed to distribute content on TikTok. They are drawn by its enormous young audience, but poor monetisation and data sharing, a lack of referrals to their own sites, and data security concerns are frustrating a full embrace of the platform.

TikTok is increasingly identified as a ‘news source’ by young people: a risk to publishers distributing content on the platform is that their brands may get lost in user feeds.

Publishers should view activity on TikTok as a strategic cost instead of a revenue source: an investment in brand awareness, and development in content and delivery formats that are becoming more widespread across platforms. Brand visibility is key to success here.