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.

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.

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 advertising growth at big tech firms has flatlined, with real-term declines at Meta and YouTube. The weakness is concentrated in higher funnel ads.

Advertising is a leading indicator. A hardware slowdown is coming, services growth is stuttering, and businesses will want to save on cloud services.

Investors are hostile to attempts to spend through a downturn, but competition from TikTok and developments in AI demand targeted investment, while Meta is pot-committed to the metaverse. Tech giants are looking for savings elsewhere.
 

60% of Chinese online ad spend is directly driven by ecommerce, compared to 40% in the West. The gap will close as content and ads move closer to transactions.

General search engines are not central to the customer journey in China: Baidu fell below 10% of online advertising last year, compared to Google’s c.55% share in the UK.

The Chinese model now has a vector to the rest of the world in the form of TikTok, whose parent company ByteDance added more retail GMV in China than Alibaba last year. TikTok wants to grow video shopping in the West, targeting a huge $470 billion in transactions by 2027.

Meta suffered its first year-on-year revenue decline in Q2, as long-standing challenges crystalise and an economic slowdown in the US dents display ad spend. 

In response, Meta is retooling its products to neutralise threats from post-social competitors like TikTok, and trying to minimise the impact of data restrictions. 

The long-term pivot to the metaverse is Zuckerberg's next big bet, but funding it depends on core business strength. 

YouTube’s tepid quarter signals a two-track online ad economy with advertisers protecting search spend as an essential cost of sales while cutting online display.

YouTube faces a challenge to strengthen its brand and direct response ad products while sacrificing some income to Shorts, its answer to competition from TikTok, which we estimate added three times as much ad revenue as YouTube in H1.

Beyond the short term, brands need to generate new demand, and that cannot be accomplished at the bottom of the funnel.

A forthcoming UK regime on the relationship between publishers and platforms, certain to include Google and Facebook, will seek to replicate the payments achieved in Australia. However, the principles, design and precise process are still to be revealed by the Government

Facebook’s News Tab and Google’s News Showcase license content from publishers (including paywalled content) and direct traffic to their sites, although industry tensions remain high

Google Search is the elephant in the room because, while Facebook is a service to its users, search is a utility: making news more important to its offering, and explaining why Google’s commitment to the news industry runs deeper—and for the long term

Rising online ad prices mean customer acquisition costs have spiked for D2C businesses, which already had a higher marketing spend base than offline equivalents.

At the same time, the data used to target and measure online advertising—the key channel to find and convert customers—is being eroded.

There will be consolidation in the crowded D2C landscape, providing scale benefits. Sellers will also have to refocus their marketing attention on increasing customer lifetime value.