On 3 June 2025, Enders Analysis co-hosted the annual Media and Telecoms 2025 & Beyond Conference with Deloitte, sponsored by Adobe, Barclays, Salesforce, Financial Times and SAS.

With over 700 attendees and more than 50 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: Sky’s strategy; the BBC's strategy; audience behaviour; trends in commissions; and the businesses of Vivendi and the National Lottery. Videos of the presentations are available on the conference website.

The erosion of the website’s centrality, and the rise of creators and influencers generates multiple challenges for media –people’s choices have grown enormously. This report highlights consumer behaviour: what people trust and value.

Through a series of case studies we demonstrate people’s needs are resilient: helpful and convenient services with personality that can be trusted, all enhanced by strong community.

Media brands continue to play a critical and trusted role for people to navigate marketplaces, interests and their work life. The role of product –and by extension, the leadership and structure of product development –has grown in importance.

YouTube is now the UK's fifth most-used venue for finding news, and a key focus for UK broadcasters and publishers. They made up a quarter of UK trending news videos in 2023, competing with native YouTubers and US broadcasters

We find that YouTube’s algorithms tend to funnel users from news content towards non-news within a few videos. The reverse trend, of non-news to news content, is almost non-existent

We do not find evidence of widespread brand safety concerns impacting advertising on news videos, though publishers still note YouTube is better for exposure and consumption than it is for generating revenue. The ad load is largely in line with other genres

We analysed hundreds of ads on YouTube, the biggest online video platform. Direct response campaigns predominate, especially among finance, ecommerce and technology buyers.

YouTube on TV hosts more brand campaigns with unskippable >30-second ads. In the UK, YouTube viewing on the TV set will grow c.80% by 2030, changing the profile of YouTube advertising.

YouTube generates about 85% of its revenue from ads. We found it also guides user behaviour by ramping up ad load for logged-out users so that they log in.

In the past, broadcast TV and YouTube content has been poles apart—both in substance and the need states they served. This is changing, with the overlap in offerings growing 

We estimate that c.61% of viewing of YouTube Trending content is of videos that could be considered TV-like. Similar programming makes up c.35% of broadcast TV viewing 

YouTube’s videos are also becoming longer, raising audience tolerance and expectations, and allowing the service to compete in a broader range of genres. However, this will be challenged by monetisation limitations

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.  

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.