Enormous AI capacity unlocked by 2026, combined with investor pressure for returns, is stimulating a rapid escalation in AI products that could spawn an AI ‘super app’ ecosystem that supplants the world of search and links

There is no turning back: Google is transforming search and YouTube while OpenAI and Perplexity launch AI browsers to capture user attention. OpenAI’s ChatGPT agent moves it further from Microsoft, who is yet to finalise their long-term relationship

Meta may pivot to a closed AI model without an ‘anchor tenant’—feeding Mark Zuckerberg’s ambition to revolutionise advertising. Meta is positioning new AI supercharged hardware in the consumer space designed to eclipse the smartphone

Defined roles within the advertising ecosystem are a thing of the past: everyone is adapting by building out functionality to claim share as the constants underpinning advertising—attribution, discoverability, and regulation—change.

There is a new wave of M&A, partnerships and developments from agencies, adtech, and big tech in data and AI, as all sides position themselves to reshape the terms of online advertising at a time of maximum uncertainty.

Big tech platforms are leveraging their scale and AI investments in attempts to reset broad swathes of the market. Publishers are exposed; their way forward relies on asserting their value through direct audiences and collaboration on sector-wide innovations

US tariffs and regulations are sparing no one in 2025—Microsoft, the ‘winner’ of the earnings quarter, is still making plans to protect its European business in a doomsday scenario.

Hyperscalers who have piled their eggs into cloud cannot afford a misstep—this is driving record capex to satisfy cloud demand. We expect to see lumpiness in Q2-Q3, feeding investors’ worries.

Revenue impacts have been felt first at US retail, softening ad demand, with the UK relatively protected for now. Despite relief at the 90-day ‘reset’ with China, economic and political uncertainty remains the story of the year.

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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.

US big tech companies are deploying hundreds of billions of dollars to remake the global economy in their image, as enviable growth contrasts with layoffs and low morale.

The cost of using AI models will fall in 2025 and make more AI applications possible. Regulation is caught between pressure from Trump and investigations that must go on, such as digital markets.

Microsoft and Google have tied their fortunes to AI. Amazon and Meta stand to realise business gains from AI, while Apple is the outlier: capex declined in 2024 as it focuses on iPhone and services.

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.

Meta led the pack of tech results in Q2 with 22% growth and championing a suite of generative AI products; should these falter, Meta can recalibrate by devoting more of its AI infrastructure to core user and ad products. 

AI and the metaverse give Meta an uncertain shot at a new platform play, leveraging its enormous user base and bringing developers back into the fold. 

Reality Labs is still burning cash, but a collaboration with Ray-Ban offers a path to usable head-mounted displays, and could get Meta there faster than Apple’s cutting-edge approach. 

On 4 June 2024, Enders Analysis co-hosted the annual Media and Telecoms 2024 & Beyond Conference with Deloitte, sponsored by Barclays, Salesforce, the Financial Times, and Adobe. 

With over 580 attendees and over 40 speakers from the TMT sector, including leading executives and industry experts, the conference focused on how new technologies, regulation and infrastructure will impact the future of the industry. 

This is the edited transcript of Session Four, covering: artificial intelligence, the new phase of online advertising, and closing remarks. Videos of the presentations are available on the conference website.

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

 

A new era is starting for the big consumer tech companies, as they venture outside of their traditional comfort zones to bet on future growth—most obviously in AI, and then cloud, gaming, headsets and video.

Competition in the tech space is intensifying as incumbents go head-to-head in new revenue growth areas also populated by insurgent startups—their M&A watched closely by competition regulators.

Fat profit margins have ensured vast financial resources are available to pour into competition, but hitting the right targets for consumer engagement is key to success.