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. 

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.  

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

Despite its scale, YouTube can get overlooked. But its tremendous reach and impact across all demographics make it the internet's universal service provider. 

YouTube is still the golden child for creators who want to make a living from their content. For YouTube, this broad base of suppliers ensures a position of strength from which to claim a large revenue share. 

Competition from TikTok took some of the shine off YouTube's usage, and forced it promote lower-monetising Shorts. YouTube is pushing heavily into subscriptions, TV sets, and premium content via sports rights to boost the money it makes per minute spent. 

As younger viewers continue to migrate from linear TV to online video-sharing platforms, engaging with the audiences on these platforms is no longer simply an opportunity, but a necessity.

However, this ecosystem offers broadcasters limited monetisation opportunities, reduced audience data and worse attribution than the more lucrative broadcast TV model.

In this fragmented media landscape, broadcasters must maximise their digital reach and exploit incremental revenue opportunities, although linear channels and owned-and-operated platforms will continue to provide the bulk of revenues.

We forecast broadcaster viewing to shrink to below half of total video viewing by 2028 (48%)—down from 64% today—as streaming services gain share of long-form viewing time.

On the key advertising battleground of the TV set, broadcasters will still retain scale with a 63% viewing share by 2028, even as SVOD and YouTube double their impact.

Short-form video will continue to displace long-form as video-first apps (e.g. YouTube, Twitch, TikTok) gain further popularity and others (e.g. Facebook, Instagram) continue a relentless pivot to video. This will expand the amount of video watched and transition habits—even amongst older demographics.

Recent developments in AI have ignited a frenzy in the tech world and wider society. Though some predictions are closer to sci-fi, this new phase is a real advance.

We view AI as a ‘supercharger’, boosting productivity of workers. The impact is already being felt across media sectors, including advertising and publishing.

Firms thinking about using AI should assess which tasks can be augmented and what data is required. Be prepared for unpredictable outputs and a changing legal and tech landscape.

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.

A combination of factors drove the worst quarter ever for big tech growth, though the secular shift online of the economy and society will continue.

Advertising demand is down, reflected in lower prices. Ads did better the closer they are to transactions, with variability by category.

Efficiencies and AI are the investor-soothing buzzwords going into 2023.