Advertising has outgrown the UK's wider economy by 20 percentage points since 2000 thanks to online and advertisers in export markets, especially China, targeting sales in the import-dependent UK market.

If current trends held to 2030, advertising would reach 1.7% of UK GDP, over 50% higher than 2019—we believe this to be the least likely scenario as the UK already sustains higher ad intensity than major markets.

The next recession could be the moment when online ads growth corrects and then reverts to low single-digit growth in line with the economy. A 'soft landing' is also possible, while a surprise outperformance would require more drastic structural shifts.

Geopolitical clashes between the US and Europe were a barely concealed undercurrent at this year’s MWC, with European tech regulation at odds with US moves, and telcos pitching for regulatory favours on firmer ground than they have had for years.

Perhaps the largest impact is on the satellite industry, with Eutelsat OneWeb having been given a new lease of life as the EU champion versus a now disfavoured SpaceX/Starlink.

AI was of course the talk of the town, but largely in ways that are tangential at best to traditional telcos, with the necessary building blocks for telcos to play a big role (i.e. network APIs) still needing much work.

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

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.

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.

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. 

Device makers regained their mojo at this year’s MWC, with phones a crucial route to generative AI becoming a daily habit. 

AI software has improved and proliferated, but limited differentiation leaves room for consolidation as a competitive funding crunch looms. 

Unanswered questions loom large, but won't dim AI's potential. 

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

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.

At this year’s Mobile World Congress, new hardware was stuck in beta, but glasses-free 3D screens impressed.

The metaverse confronted its identity crisis in a deflated hype cycle: blockchain and NFTs withdrew to the shadows, leaving the focus on enterprise and industrial applications.

AI: while aware of the (numerous) issues, discussions occasionally skated over issues of effectiveness, data inputs, the role of humans, and conditions for adoption.