Every day, we hear fresh news regarding the launch of new artificial intelligence (AI) models, such as ChatGPT (Open AI), Claude (Anthropic), Gemini (Google), Llama (Meta), Grok (xAI) and DeepSeek (Hangzhou), among others. Everyone’s talking about them and more and more people are using them, whether at work or in a personal capacity.
And undoubtedly, many of you will have asked yourselves: why don’t we invest in these technologies, if there’s so much interest in them and so much growth? Right now, the answer is that it’s not yet possible to invest in them, because they’re either private companies (i.e. not listed on the stock exchange) or they form part of an enormous conglomerate, like Google or Meta, and we’d therefore be investing in other areas of their business, not only in AI. Most of these private companies are continuing to raise capital via funding rounds, in an attempt to gain a leading position in the sector, although it’s possible that we may see some IPOs (initial public offerings) and companies becoming publicly listed over the coming months.
As an alternative, we can invest in the AI ecosystem through sub-sectors that play a highly relevant role in the AI value chain, including both suppliers to and beneficiaries of these companies. These sub-sectors may include:
Semiconductor and GPU manufacturers, i.e. the companies who supply the hardware that AI systems need in order to perform at a high level.
Data centres, i.e. the technological infrastructure and facilities that play a vital role in AI by providing solid and stable data connections.
Energy, in view of the fact that companies in the AI sector consume tremendous amounts of energy. Nuclear power has re-emerged as one of the most efficient and reliable ways to satisfy these increased energy requirements without incurring stratospheric costs.
Cybersecurity, given that, with the adoption of new AI models, companies are vulnerable to cyberattacks on a greater number of fronts.
Data platforms, i.e. companies responsible for gathering, storing, preparing and analysing data so that it can be used by third parties.
As we can see, the world of AI is much broader than it may appear. We are witnessing a constant process of change and creation, of both new companies and new jobs.
In the near future, as companies optimise the advances they make, it is very likely that their productivity will follow the infamous law of diminishing returns. This law describes how, for each unit invested, the resultant yield becomes increasingly smaller. Some of the companies currently attempting to lead the process of change in the field of AI will be impacted, as happened with the Internet revolution, and they may end up falling out of the race.
Therefore, in order to stay abreast and keep track of all of these ongoing technological innovations, it’s important to be well-informed and advised by professionals who specialise in analysing these types of companies and the services they offer.
Diari d’Andorra 11.09.2025