Last week I wrote about the different ways investors can participate in the enormous opportunity presented by artificial intelligence. While much of the attention is focused on companies developing AI models and building the infrastructure to support them, I believe some of the most attractive long-term opportunities will come from businesses that already exist. Companies that can use AI to become more productive, more efficient, and ultimately more profitable.
These businesses don't necessarily need to develop their own AI models or spend billions building data centres. They just need to adopt the technology and use it to improve what they already do. For established businesses with large customer bases, extensive operations and strong competitive positions, even relatively small improvements in productivity can translate into substantial increases in profitability.
Consider Caterpillar, a company best known for manufacturing the heavy machinery used in mining and construction. Caterpillar has been developing autonomous equipment for decades, and its driverless mining trucks have already transported more than 11 billion tonnes of material. AI, robotics and machine learning are extending these capabilities into increasingly complex environments. Machines that operate more safely, work longer hours and reduce operating costs create enormous value for customers. For Caterpillar, that strengthens an already formidable competitive position.
McDonald's is another example. With more than 40,000 restaurants worldwide, the potential benefits from automation are significant. AI can improve inventory management, predict customer demand, reduce equipment downtime and simplify restaurant operations. Over time, I expect robotics to automate most, if not all, of the food preparation process. McDonald’s doesn’t need to reinvent itself to become a major beneficiary of AI. Improvement in efficiency across such a huge network will have a big impact on profitability.
JPMorgan Chase has a different advantage. It possesses vast amounts of proprietary financial and customer data accumulated through decades of banking relationships. AI allows the bank to extract greater value from that information, improving fraud detection, credit assessment, customer service, and operational efficiency. Its AI-powered investment research platform has already reduced the time required to turn manual research into actionable insights by 80%. Importantly, its competitors cannot simply replicate those datasets. The technology is becoming widely available, but the information used to make it valuable is not.
Walmart presents a similar opportunity in retail. Its enormous distribution network, purchasing power and customer data provide the foundations for AI-driven improvements in inventory management, logistics and supply chains. With thousands of stores and an extensive global supply chain, improvements in forecasting, stock availability and distribution efficiency can deliver substantial savings. For a business operating on relatively thin margins, even small improvements can have a meaningful impact on earnings.
What attracts me to these businesses is that their investment cases do not depend entirely on AI. They already have established operations, substantial revenues and competitive advantages developed over decades. AI provides another opportunity to strengthen those businesses rather than being the sole reason for their existence. They don't need to win the AI race. They simply need to benefit from it.
Adopting AI does not automatically make a company a good investment. The benefits must eventually translate into earnings, and the price investors pay for a company's shares still matters. Some businesses will struggle to implement the technology, while others may find their competitive advantages weakened rather than strengthened. There will be winners and losers, even among the most established companies.
For investors, the opportunity is not only to identify which companies will use AI, but which can convert it into a lasting competitive advantage and higher earnings. Businesses with scale, proprietary data, strong balance sheets, and established market positions are particularly well placed to do so. As AI becomes more widely available, the technology itself may well become less of a differentiator, while the ability to deploy it profitably becomes more important. Over the coming decades, I think some of the best AI investments won't look much like AI companies at all.
General Advice Disclaimer: This information is of a general nature only and may not be relevant to your particular circumstances. The circumstances of each investor are different, and you should seek advice from an investment adviser who can consider if the strategies and products are right for you. Historical performance is often not a reliable indicator of future performance. You should not rely solely on historical performance to make investment decisions.
