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.

Telcos are increasingly developing APIs to share selected network data with third parties, with the goal of supporting useful end-user applications.

Capabilities are still nascent, but the potential is real. Telcos need to adopt a pragmatic approach that looks to match API capabilities to useful products, and build increasing scale over time.

Security is the largest near-term opportunity for API products, but AI is the key emerging area, with telcos potentially able to play an ambitious role in providing APIs to help manage the growth of autonomous AI agents.

The US is intent on preventing the CCP’s goal of AI supremacy by 2030, banning exports of advanced AI chips to Chinese companies. So far, these bans have largely been shrugged off to create a new commercial dynamic in the region. 

Huawei wields a de facto monopoly on the manufacture and sale of advanced chips in China. Huawei also sells cloud services globally and threatens Apple's $70 billion in Chinese revenues through its premium handsets. 

China’s AI regulation is highly supportive of the training and deployment of Chinese-language LLMs developed by tech platforms, startups, and device makers, with meaningful revenue gains only appearing by H2 2024. 

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.