Big tech capex is set to jump over 50% in 2024, fueling the current AI boom, and supporting the training and deployment of the next-generation of frontier models slated for release over the next 2-4 months

If these frontier models can deliver greater capabilities, and the returns to match, it will intensify the race to scale up capex even further to train ever more powerful models on ever larger clusters of chips

If returns do not flow to the frontier, then models become commoditised, with all of big tech able to capitalise on their application layer dominance. If they do, then outcomes are uneven and uncertain with the core cloud players racing for dominance and leaving the others behind

Sony PlayStation 5 and Microsoft Xbox unit sales crashed in the last quarter, despite promotional discounting. Neither company appears able to reverse a clear consumer shift away from fixed consoles. 

Nintendo Switch outsold Xbox and nearly matched PlayStation sales, even with the Switch 2 set to launch in 2025. 

A radical change in hardware strategy and leadership will be the best solution for Microsoft to demonstrate a growth narrative following its acquisition of Activision. Gamescom this month may provide more clues.

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. 

The next generation of the largest and most powerful 'frontier' AI models will be a key test for the pace of AI progress, with OpenAI's upcoming GPT-5 the most highly anticipated.

For OpenAI, the stakes are high, facing a growing assortment of rivals and with huge spend on training and running models to recoup. Staying at the cutting edge is key to justifying itself to the big tech backers on which it depends.

If OpenAI can deliver technology that matches its ambitious vision for what AI can be, it will be transformative for its own prospects, but also the economy more broadly. Falling short could be fatal.

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

 

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.

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. 

Sony PlayStation’s next CEO will have hard decisions to make: compete against a resurgent multiplatform Microsoft, or retreat and defend an increasingly rickety PlayStation console model.

New gaming hardware will have an outsize influence in the year ahead, giving gamers unprecedented choice, starting with XR headsets and continuing to a likely new Nintendo Switch.

YouTube’s foray into browser-based games will be the service to watch in 2024. If successful, streaming services, including Netflix, will be on track to become heavyweight game platforms.

Cloud revenues are reflecting patterns of AI integration. As big tech companies jostle for advantage, Microsoft and Azure claim an early lead

Cloud profits remain crucial for wider tech businesses, affecting ability to innovate

Strategies to develop and market cloud-based AI tools are diverging, with uncertainty rife. The ecosystem will shift as the demands of consumers and regulators becomes clearer