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.

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 One, covering: the evolution of streaming models, and public service broadcasting in the digital age. Videos of the presentations will be available on the conference website.

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.  

IFPI reports trade revenues from streaming rose 10% in 2023 to reach $19.3 billion, and we estimate Spotify contributed about $7 billion. Spotify also rewarded music publishers with about $2 billion in royalties. 

Spotify’s Loud & Clear data on royalties paid to the 225,000 professional and aspiring artists served to its 600 million users reveals a bulge in the middle part of the distribution in favour of Spanish language artists as the service expands in Latin America.

The top 1,000 earners are mainly artists at the top of the charts in the US and UK markets, which together contribute half of Spotify’s revenues and thus royalties. Top earner and top all-time streamed artist Taylor Swift earned over $100 million in 2023. 

News UK and DMG Media’s joint venture to combine their printing operations has been given the green light by the Competition and Markets Authority (CMA), concluding the supply of services to third parties would not be adversely affected                                                                                          

The CMA concluded that the printing operations of the two publishers were not particularly close competitors for third-party customers. Geography and spare capacity—as we have long argued—were far more influential factors                                                                                          

The CMA’s green light is a timely reminder of the importance of industry collaboration for the profitability of the news industry’s print era, with useful indicators for the evolving online market

The US is intent on preventing the CCP’s goal of AI supremacy by 2030, banning exports of advanced AI chips to Chinese companies. So far, these bans have largely been shrugged off to create a new commercial dynamic in the region. 

Huawei wields a de facto monopoly on the manufacture and sale of advanced chips in China. Huawei also sells cloud services globally and threatens Apple's $70 billion in Chinese revenues through its premium handsets. 

China’s AI regulation is highly supportive of the training and deployment of Chinese-language LLMs developed by tech platforms, startups, and device makers, with meaningful revenue gains only appearing by H2 2024. 

Recent advances in 'Artificial Intelligence' have generated excitement, investment and improved valuations, on the plausible promise of greater efficiency in a range of areas, such as health and coding.

It is still not clear who will profit from this boom. Currently chip-maker NVIDIA is cleaning up, propelled by sales to model developers, also driving demand for cloud computing services.

Leverage in the AI value chain depends on differentiation and barriers to entry, which are high in the chips industry. AI services like chatbots have much lower barriers to entry, while deeper vertical integration of more stages of the value chain could shake things up.