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.

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.  

Magazines are in the final phase of industrial-scale print volumes, with the era of artisan print magazines already highly visible and blooming, celebrating the reader’s tangible experience of the design and rich content, drawn by the brand’s authority.

Publishers’ online revenue models have diversified by attracting third-party sources—advertisers, campaign partners and affiliates—alongside a relatively tepid commitment to audience-led revenue models, with exceptions.

Publishers seeking a sustainable digital future by circa 2030 will need to focus more on audiences than on advertisers, leveraging core brands across multiple channels to build community, with print playing a narrower, lucrative and much-loved role.

The quest for sustainability in the UK national news industry is gaining ground, thanks to digital growth offsetting relentless print decline. The challenge of the print-to-digital transition has not faded, however, amidst the oncoming cliff-edge for print.

Nationals choosing the path of the walled garden on digital have out-performed those in pursuit of the ad-supported mass-market audience, whose ad yield per user is being compressed by more efficient scale platforms and the end of tracking technology.

Despite the challenges facing the news industry, the beacon of light shone by professional journalism has never been more important to humanity, to combat disinformation and misinformation on the internet, which Gen AI tools will only exacerbate.

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.