AI’s defining year: Capex and capabilities surge

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.

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

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. 

After a period of stagnation, many of the core business lines at the US tech mega-caps are back to posting respectable growth figures. The rest of the year will bed in strong revenue growth.

However, the sector is still facing a transition to new priorities. Core business strength should allow firms to shift from cost-cutting to the investment needed to fight the more competitive era they are facing.

AI is the number one focus, but the market for AI tools themselves is still nascent. Applying AI to internal problems has more promise. For instance, it is helping Meta solve its measurement and engagement problems.

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.