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.

Direct greenhouse gas emissions from the UK telecoms sector equate to around 0.1-0.3% of the UK total. Most operators have set targets to reach net zero across their direct emissions in the next 10-20 years, with the move to electric vehicles an obvious win.

Network upgrades to 5G and fibre have the potential to cut emissions from electricity by a factor of 10, and consolidation offers further decarbonisation upside.

The industry could enable emissions savings in other sectors equivalent up to 30x its own by averting the need to travel and through IoT applications, with the latter requiring careful commercial assessment given the financial constraints in the industry.

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.

Ofcom’s plan to ban inflation-linked price rises creates a headache for most operators, but the financial hit will not be felt for years, if then (depending on their replacement).

Ofcom is correct in pointing out some of the drawbacks of the practice, but it will likely be replaced by an alternative tactic that may well end up being worse for consumers.

The unintended consequences could be significant, with a period of uncertainty for operators, low-end plans less appealing to offer, and poor signaling to investors in the sector.

BT continued to perform well financially in Q2, with revenue and EBITDA growth remaining robust, and full year cashflow guidance nudged up.

ARPU growth remained robust across fixed, mobile and Openreach, but subscriber growth was weaker, especially in mobile and Openreach, and this will become more of a concern if it persists.

Maintaining growth across retail divisions will be a challenge as the price rise effect wanes, especially in weak economic conditions, and while Openreach’s FTTP roll-out is going well, full success is still not assured.

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

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.

Social tariffs have provided relief for some at a time of household income squeeze and otherwise unavoidable high inflation-driven telco price increases.

Adoption has risen but remains very low, limiting their effectiveness, and more widespread adoption would expose their shortcomings, with the risk of penalizing low cost operators and significantly increasing prices for non-adopters (by up to 20%).

A better approach might be to recognize that affordability issues are narrower but deeper than current social tariffs can address, with fuller, centrally funded subsidies targeted more narrowly at those most in need.