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. 

Google has lost its appeal of the European Commission’s antitrust ruling of 2017 that it had abused its position in general search to favour Google Shopping, its Direct-to-Consumer (DTC) channel for merchants, in relation to price comparison aggregators. 

Since the case was lodged in 2010, price comparison has receded as the key to consumers’ online purchases, also motivated by influencers, reviews, and browsing. Merchants use YouTube and Instagram to build brands, Facebook to launch products, and Google Shopping as the key alternative to Amazon for direct response.

The EU’s antitrust regime has once more solved yesterday’s problem, but this will shift for Big Tech to an ex-ante regime when the landmark Digital Services Act and Digital Markets Act come on-stream.

 

After China updated its Anti-Monopoly Law to cover platform companies, the Government is bringing to heel privately owned ‘national champions’, including via antitrust measures in their home market—the key source of their astronomical cash flow—and through interference in their expansion outside China

China lacks any tradition of anti-monopoly activity, given its gradual shift to the market from state-owned enterprises, it offers an example of theory in practice for antitrust reformers targeting platforms in the West

The global implications are huge: up to $2 trillion of Wall Street shares are exposed as China tightens controls on foreign IPOs. Regulators could also use enhanced antitrust powers to disrupt global dealmaking for economic leverage

As private sector employers faced an unprecedented degree of uncertainty, the volume of vacancies fell 60% from 2019 to 2020, driven by the arts & entertainment, food & hospitality and retail sectors, leading expenditure on recruitment advertising to fall by 32%.

In 2021, vacancies for temporary placements are surging as society proceeds to unlock, with the near-term labour market tight, boosting expenditure on recruitment. Our concern is the masked unemployment in B2C sectors that will emerge should furlough end on 30 September. 

Judging by global revenue trends in FY2020, professionally-oriented networking platform LinkedIn gained from demand for hiring served by paid-for listings, also filling demand for events. Indeed, which serves the high-volume but lower-value end of labour markets, with a less fruitful budget and cost-per-click model, suffered mild revenue decline.

Apple is bringing in privacy changes on iOS that could hurt ad-funded apps. 

Responding to platforms’ legitimate push for user privacy is a trial for regulators in the midst of building new online antitrust regimes. 

Antitrust rulings are chipping away at the App Store’s stringent terms of use, but reforms will keep it at the centre of the iOS universe. 

Advertising income has been the lifeblood of commercial TV for decades, but declining linear audiences—combined with digital video alternatives—mean the TV advertising model must evolve to ensure it remains as potent a medium for brands as ever.

Lack of effective audience measurement and somewhat opaque advertiser/agency/sales house relationships are hampering linear TV advertising revenues. Both issues need resolving to underpin a healthier ecosystem overall.

Flexibility is key to this evolution. A move to audience buys across most linear and BVOD inventory would provide greater flexibility and targeting for advertisers, and would sit alongside some premium context buys. A greater onus on volume deals would give broadcasters more certainty to invest in content and their advertising propositions.