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Wouldn’t it be nice if we could just ask a computer, “what should I invest in?” In theory, sure. But given the current state of artificial intelligence, I wouldn’t bet your money on it just yet. Simpler, tried-and-true analysis tools help us to do this job without putting our client’s money on the line.
Now, you might think AI for investing is inevitable. After all, intelligent people are coming up with new uses for AI all the time. Diagnosing eye problems. Helping corporate boards hire with diversity in mind. We can make art with it, or use it to spot fake art. With self-driving cars, we’re literally putting AI in the driver’s seat. So, why not AI for investing? In fact, it’s already happening — through the “AI Powered Equity ETF (AEIQ), which invests in a variety of U.S.-based companies and seeks to beat the returns of the S&P 500.” The numbers in this report from July show the ETF was up 8 per cent this year, while the S&P 500 has gained about 1.5 per cent YTD.
Who knows what the future could hold for AI’s capabilities? Let’s take a deeper look.
Why I’ve got AI for investing on the brain right now
I recently spoke about AI at The Summit for Asset Management and I realized that the subject of investing using AI would probably also interest many of WealthBar’s own clients. So here’s what I spoke about and some of my thoughts on the role of AI in the future of automated investing.
Who am I? I’m WealthBar’s Co-Founder and Chief Technology Officer. At WealthBar, my team and I design and build our mobile and online experiences for clients. We also decide what technology solutions to use and how to use them.
AI is really cool right now. It gets a lot of attention and I’d be lying if I said I wasn’t excited by the potential. However, I also need to ensure we’re using the right tool for each job. So far, we have not been convinced that AI is the best solution for the kinds of the problems we currently solve for our clients. More importantly, the current understanding of AI today leads to far more questions and concerns than answers. The biggest of these questions is our inability to explain exactly how an AI algorithm learns and why it makes the decisions it does.
AI-powered? Don’t believe the hype
What is AI?
Artificial intelligence can learn without being explicitly programmed.
That seems like a good definition that I would use, though what we think of when we say AI and what it really means can be two different things.
Some people will think of AI as a general intelligence: basically, a piece of software, machine or robot that thinks like a human, like in so many science fiction movies that have come out in the past few years (I, Robot, Ex Machina, Her, etc). We’re pretty far from that in real life. But for now, we’re using a definition of AI that’s more limited, precise utility — and one that could have some real applications in the investing world.
AI for investing. How does it work? And how could it work?
Right now, we use it to take on specific tasks. In theory, we could ask an AI “what should I invest in?”
Some financial firms are experimenting with this, or they say they are. But scratch the surface. You find that their process is just based around linear regression. They do some math, which has been around since long before computers. Linear regression is a quick and practical tool that the financial industry has been using for as long as there has been a financial industry. Continue Reading…








