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.

Geopolitical clashes between the US and Europe were a barely concealed undercurrent at this year’s MWC, with European tech regulation at odds with US moves, and telcos pitching for regulatory favours on firmer ground than they have had for years.

Perhaps the largest impact is on the satellite industry, with Eutelsat OneWeb having been given a new lease of life as the EU champion versus a now disfavoured SpaceX/Starlink.

AI was of course the talk of the town, but largely in ways that are tangential at best to traditional telcos, with the necessary building blocks for telcos to play a big role (i.e. network APIs) still needing much work.

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

 

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. 

At this year’s Mobile World Congress, new hardware was stuck in beta, but glasses-free 3D screens impressed.

The metaverse confronted its identity crisis in a deflated hype cycle: blockchain and NFTs withdrew to the shadows, leaving the focus on enterprise and industrial applications.

AI: while aware of the (numerous) issues, discussions occasionally skated over issues of effectiveness, data inputs, the role of humans, and conditions for adoption.

Consumer tech revenue growth ground to a halt by the end of 2022.

Changes in technology and user behaviour are creating risks for incumbents.

Shareholder pressure is driving efficiencies, but high costs are an inevitable response to growing challenges.