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In the year following its IPO, Reddit has defied our expectations, reporting five straight quarters of positive adjusted operating income and strong growth.

Profitability stems from disciplined cost management alongside exceptional user growth, with a focus on advertising performance and limited distractions.

The platform's human-generated conversations are proving valuable in the AI era, but AI strength could become a vulnerability if synthetic content overwhelms authentic discussion.

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Trump II is already proving to be a more serious threat to an independent, robust news media than Trump I.

Trump’s direct power around news media is limited, but the threat comes from an unprecedented politicisation of federal regulators, enforcement and procurement—to favour friends and punish enemies.

Opposition to Trump II is weaker and more divided than the broad ‘resistance’ to Trump I. Big tech companies are going for a close embrace, hoping to steer policy to their advantage—while others bend the knee to avoid punishment.

Podcast reach and share continue to grow, albeit slowly, aided by need-state differentiation and increasingly online, on-demand media habits.

The ad market remains small with the long tail of podcasts difficult to monetise, but an industry move into video—on both YouTube and Spotify—offers substantial reach and monetisation opportunities.

Publishers and broadcasters see podcasts as an essential brand extension enabling greater reach, whilst successful podcast networks have tapped into more relaxed, commercial formats.

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.

Reddit, a unique and valuable online space, has reported its first quarterly results as a public company, following a very successful IPO.

In the longer term, Reddit is doomed to scratch out an unprofitable existence as a wannabe scale ad platform, echoing peers in the public markets.

Advertising is probably the least-bad business strategy, as user payments, ecommerce and licensing revenues are even less proven. Dialling back growth ambitions to improve the bottom line is the most sustainable path.

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.  

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

 

IFPI reports trade revenues from streaming rose 10% in 2023 to reach $19.3 billion, and we estimate Spotify contributed about $7 billion. Spotify also rewarded music publishers with about $2 billion in royalties. 

Spotify’s Loud & Clear data on royalties paid to the 225,000 professional and aspiring artists served to its 600 million users reveals a bulge in the middle part of the distribution in favour of Spanish language artists as the service expands in Latin America.

The top 1,000 earners are mainly artists at the top of the charts in the US and UK markets, which together contribute half of Spotify’s revenues and thus royalties. Top earner and top all-time streamed artist Taylor Swift earned over $100 million in 2023.