In 1956, John McCarthy, an American computer scientist at Dartmouth College, coined the term Artificial Intelligence (AI). At the time, he defined it as “the science and engineering of making intelligent machines.”

Today, we understand AI as a way in which computers are able to problem solve and interpret data through statistical analysis, allowing them to understand, analyze, learn, and act based on past experience and data.

How Is Artificial Intelligence Used?

AI is used to build robots, tools, bots, and agents that can predict, and act on, human behaviour. Tesla’s autonomous vehicles and Siri are just two recent examples of AI. It took us a while, though, to get to a point where AI has everyday applications.

In 1970, Marvin Minsky, a fellow computer scientist, believed that machines with the general intelligence of an average human being would exist within the next few years. While computers were evolving, they were still a long way away from achieving the end goal of natural language processing, abstract thinking, and self-recognition.

It wasn’t until the 1990s that AI began to thrive, with many ground-breaking AI achievements. In 1997, Gary Kasparov, the reigning world chess champion and grand master, was defeated by IBM’s Deep Blue, a chess computer program. That same year, speech recognition software developed by Dragon Systems, was implemented on Windows.

Interestingly, the further growth and adoption of AI hasn’t hinged on our ability to understand AI on a deeper basis. In fact, the actual coding of AI hasn’t changed. What has precipitated the broad-based adoption, evolution, and limitless applications of AI is the limit of storage capacity.

Moore’s Law, which suggests that the memory and speed of a computer doubles every year, has finally caught up with, and surpassed our needs. Today, we live in a world of big data, an age where AI and machine learning (ML), deep learning, and natural language processing (NLP) have transformed a wide variety of industries, such as technology, logistics & transportation, healthcare, manufacturing, advertising, banking, finance, and investing.

Examples where AI is rapidly changing the way we live includes self-driving cars, maps & navigation, smart cities, facial recognition & detection, digital assistants, robotics, social media, and robo-advisors for investments.

How Will AI Impact the Investment Landscape?

Besides enhancing productivity, AI also helps businesses reduce their costs. AI is already widely used in all kinds of regulatory bodies, on both the federal and banking levels. In addition to being used to detect fraud, AI is being used to streamline the loan application process. Big banks and financial institutions are using AI to improve customer service and help customers solve their problems quickly.

AI can also help the average investor. The most popular investment strategy is to “buy low, sell high.” It makes sense, the point of investing is to make money. Unfortunately, emotions play a big role in the way we invest. That’s because no one can predict what will happen in the market. And that uncertainty combined with the fear of missing out, can make investors act irrationally.

Because of the way our brains are wired, we cannot separate our emotions from objective financial decision making. As a result, investors tend to follow the heard and buy high, sell low. It’s difficult to go against the natural “fight or flight mentality.”

But that’s exactly what Warren Buffet says investor should do. During the depths of the 2008 Great Recession, the Oracle of Omaha said, “Be fearful when others are greedy, and be greedy when others are fearful.”

AI can help investors be more like Warren Buffet because AI does not have to separate emotion from decision making. Well-written AI can help investors make objective decisions based on logic and data, past trends, future predictions, world affairs, and even the weather.

One of the biggest impacts AI will have on the investment landscape is the ability to make better decisions. AI is not flawless, it still has to contend with emotional investors, but it is far better than humans at making informed, educated decisions.

AI can do what we will never be able to do, and that’s process massive amounts of information instantly and make predictions based on that data.

In helping investors make better decisions, the mass adoption of AI should help the markets be less volatile over long periods of time. AI cannot eradicate volatility, not even AI can predict every Black Swan event.

While AI has been with us for decades, it’s still in its infancy with regards to investing, but its already helping us discover new ways to eliminate costly feelings of doubt and remove human emotions from the equation.

What Is the Best Way to Invest in Innovation?

Innovation is a long-term, key driver of global economic growth. One way that investors can tap into disruptive and innovative trends that are fundamentally transforming our world is through an exchange traded fund (ETF).

The Evolve Innovation Index Fund (TSX: EDGE) provides investors with access to global companies that are involved in disruptive, innovation themes across a broad range of industries, including: FinTech, 5G, Genomics, Automobile Innovation, Robotics & Automation, Cloud Computing, Cybersecurity, and E-Gaming & E-Sports.

EDGE provides equally weighted exposure to categories consisting of companies that are leading innovation across multiple sectors.

Rebalanced quarterly, some of the biggest holdings in the Evolve Innovative Index Fund include Shopify Inc. (TSX:SHOP), NVIDIA Corporation (NASDAQ:NVDA), Fortinet Inc (NASDAQ:FTNT), Intuitive Surgical, Inc. (NASDAQ:ISRG), and Mettler-Toledo International Inc (NYSE:MTD).

Investing in EDGE ETF

Looking for a more diversified investment solution? The Evolve Innovation Index Fund (EDGE ETF)is an 8-in-1 innovation fund that invests in disruptive innovation themes across a broad range of industries, including: cloud computing, cybersecurity, egaming & esports, automobile innovation, 5g, fintech, genomics, and robotics & automation. For more information on EDGE ETF, visit our website at

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