Artificial intelligence − beyond the hype

Artificial intelligence (AI) remains one of the most discussed investment themes, but the real story is increasingly shifting away from headlines and towards how AI is being used across the broader economy. For long-term investors, the key question is not which company will “win” AI, but how widely AI can lift productivity and reshape business models over time.

Much of the recent excitement has centred on companies supplying the computing power behind AI, with Nvidia often cited as a clear beneficiary of rising demand for advanced chips. Its strong share price performance has fueled enthusiasm for AI-related investments, but it also highlights how quickly market attention can become concentrated on a small number of high-profile names in the early stages of a major technology shift.

At its core, AI is software that processes large amounts of information, recognises patterns, and produces useful outputs such as predictions, recommendations, or automated responses. While forms of machine learning have existed for many years, recent advances have made these tools more powerful and easier for businesses to adopt. Importantly, AI is not a single product. It is better understood as a general-purpose technology, similar to the internet, that can be applied across many industries.

Across the economy, AI is already being used in practical ways. In healthcare, it is helping improve medical imaging and reduce administrative burdens. In financial services, it supports fraud detection, risk assessment, and operational efficiency. In manufacturing and logistics, AI is improving quality control, predicting equipment failures, and optimising supply chains. Even small efficiency gains in these areas can translate into meaningful improvements in profitability when applied at scale.

Consumers are also encountering AI more frequently, whether through smarter search tools, customer service assistants, or more personalised experiences in retail and entertainment. While these applications may seem incremental, their widespread adoption can strengthen customer engagement and enhance the competitive position of businesses that deploy them effectively.

From an investment perspective, this broader adoption is an important shift. Early enthusiasm often focuses on a handful of technology leaders, but the longer-term value of AI is likely to be created more widely as companies across many sectors integrate these tools into everyday operations. This highlights the importance of diversification, rather than relying on the success of a small group of highly visible names. That said, expectations should remain balanced. New technologies rarely progress in a straight line. Some investments will fail to deliver, regulatory frameworks are still evolving, and market pricing can move ahead of fundamentals. Maintaining a disciplined and diversified approach helps manage these risks.

Overall, we see artificial intelligence as a long-term structural trend rather than a short-term trade. As adoption continues, its most lasting impact is likely to come through higher productivity and improved efficiency across the global economy. For investors, cutting through the hype means focusing on how AI is being applied in practical ways to support sustainable business value over time.