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

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.  

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.

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.  

Magazines are in the final phase of industrial-scale print volumes, with the era of artisan print magazines already highly visible and blooming, celebrating the reader’s tangible experience of the design and rich content, drawn by the brand’s authority.

Publishers’ online revenue models have diversified by attracting third-party sources—advertisers, campaign partners and affiliates—alongside a relatively tepid commitment to audience-led revenue models, with exceptions.

Publishers seeking a sustainable digital future by circa 2030 will need to focus more on audiences than on advertisers, leveraging core brands across multiple channels to build community, with print playing a narrower, lucrative and much-loved role.

Book pricing has stagnated over the past two decades, leading to severe real-term declines in price per book. Nominal prices are now on the rise, but they are still swamped by inflation, and there is no prospect of them catching up to where they were.

The cost to produce books has been hit by many of the same inflationary conditions affecting companies (and people) across the board, leading to tough conditions at publishers, particularly small ones.

Fortunately, books offer many ways for publishers to price discriminate, charging more to price-insensitive, motivated readers.

Online retail is a prime arena for AI implementation, with a high degree of tech involvement and proximity to the point of sale

Generative AI’s near-term prospects are inflated by the hype cycle; instead, improvements to product discovery and logistics will be the next frontiers for growth and AI-driven efficiency

Retailers risk their reputations as they jostle for early mover advantage: larger players Amazon and Shopify through major investments, and SMEs with specialised data and licensing