How We Are Investing in the AI Boom

From both a business and a lifestyle perspective, AI is the single most exciting technological development I’ve ever seen. It will be the biggest game changer in the history of the world. Not only will fortunes be made here but it’s going to change our lives in so many ways. There are going to be massive gains in productivity and huge reductions in friction in every type of daily task. If I was a young person looking to start a business, it would be in the AI field. If you are in business, you need to be looking at incorporating AI or you’ll be left behind. It is genuinely revolutionary.

But what is the best way to invest in AI from a long-term portfolio investor’s perspective?

How you access this theme depends on the level of risk you are willing to take. For most investors, there are 4 common ways. I utilise 2 of these in our portfolios and 2 I steer clear of.

  • Big tech companies

  • Listed AI companies

  • SPACs or Themed ETFs

  • The broader market

The big tech companies are seeing the most immediate impact in share price movements as the market grasps the enormity of the opportunity and those who are poised to benefit the most. The big tech companies such as Microsoft, Alphabet, Amazon, Apple, and Meta have broadly seen a resurgence on the back of this theme. Most of these companies are great businesses and we hold them in our client portfolios. Right now, for a few reasons they are probably close to fully valued though. While the AI angle has driven share prices up the bigger factor is the flight to safety. In times of uncertainty, the big tech stocks have replaced consumer staples as the ‘recession proof’ businesses for investors who believe consumers will continue to use their products no matter what. Similar sentiment drove their prices up in covid too.

Listed AI companies are all the rage right now and most of them are speculative, expensive and will likely fail. I see this every time a new technology arises from the internet dotcom boom and bust in the late 1990’s and early 2000’s through to the crypto and NFT boom and bust more recently. The key point to recognise is that just because a technological theme is real or going to change the world it doesn’t mean all the companies in the space will. This will play out just like those booms and busts before them. There will be some companies that will flourish and will be what Amazon was to the dotcom boom and bust. But it is really difficult to find individual winners in an emerging technological theme. It takes a massive amount of capital investment to get a technology into the mainstream, very few win, most will lose. Go back as far as you want from air travel to the automobile, it’s the same story. For these reasons, we avoid direct investment in listed AI companies in the early phases.

Similarly, Special Purpose Acquisition Companies (also known as SPACs) and Exchange Traded Funds (ETFs) are often created by fund managers in one way shape or form to provide investors access to a theme that is popular. They raise funds and invest in many different companies or shares within a theme on behalf of investors who don’t have the necessary expertise themselves. However, I’ve seen these types of structures surface in different forms over the last 25 years and I have rarely seen them work in practice. Managers charge huge fees and hold millions of dollars in cash to invest in the popular theme, it collectively drives up prices and the funds end up having to invest the funds at overinflated prices in lots of companies that ultimately fail. The theory of diversification to access the theme doesn’t seem to work as well as promised when it’s a new technology. I would avoid these structures and investment vehicles.  

Lastly, AI’s impacts across all industries will see many untapped areas for long-term investors to access the benefits of AI in the same way that worked for many in the internet boom. The introduction of the internet didn’t just provide great results for technology companies, it was ultimately adopted by almost every industry and delivered incredible benefits for revenue, productivity, and cost reduction. There are many examples of this. Just think about the way the banking industry has changed in the past 30 years. There are many blue-chip companies that integrated the new technology and remain blue-chip companies today. But there are also many examples across so many industries from entertainment, retail to newspapers and travel that didn’t and ended up going bust. This is where the real theme of AI will benefit investors over the next decade. Understanding the existing industries that will benefit and those that will be disrupted is key, and then the impact on all the individual companies in your portfolio. It will be just as important to avoid the losers as it is to pick the winners.

The most important thing to remember as an investor is to be patient even though everything seems to be moving fast. AI technology is still in its infancy and as exciting as the opportunities are right now it’s very uncertain and going to be very volatile along the way. Some businesses will be too early, some won’t execute, and many will fail. But make no mistake, this will be a massive opportunity for more than a decade. It is still super early, and AI’s capabilities are going to grow exponentially over the next several years. This is going to be a truly once in a generation opportunity that will manifest over many years in many ways, many we can’t even envisage yet. So become familiar with AI and learn about it because it will impact every company in your portfolio in one way or the other in the years ahead.

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.