Use of publisher content to train AI models is hotly contested. Unacknowledged scraping, licensing deals, and lawsuits all characterise the publisher-AI company relationship.

However, model training is not the whole story. More and more products rely on up-to-date access to content, and some are direct competitors to publisher offerings.

Publishers can’t depend on copyright to deliver them the value of their IP. They need to track which products are catching on with users for licensing deals to make sense for them, and to ensure their own products keep up with the competition.

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.

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. 

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.

The sale of the Telegraph Media Group (TMG) gets a boost from its 2022 Trading Statement, including steadily rising profits, and visibility for 2023 subscriptions

TMG has built out its digital reader revenues, rapidly closing on one million subscriptions—setting the business on a more sustainable path

The sale of TMG and The Spectator will reach its highest valuation if appetite to own these assets sharpens and widens the range of buyers that will bid

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.

The games industry, with the potential to become the world’s largest media and entertainment sector by revenue, is undergoing profound transformation.

The consolidation of major developers is a response to a revenue model pivoting toward subscription, with direct consequences for those already in the subscription space: film, TV and music.

A technology-led creative medium, with an audience approaching three billion gamers, is seeing its franchises become more valuable and useful than ever.