This AI ETF Could Turn $10,000 Into $40,000 by 2035

Key Points

There's no denying it -- artificial intelligence (AI) is likely going to have a profound impact on the world over the long term. Entire industries could be altered. It's no wonder management teams are increasingly focused on ways to better position themselves for long-term success.

From an investment perspective, perhaps it's starting to make sense that your portfolio should have some exposure to AI. Luckily, investors don't necessarily need to pick individual stocks if they want to benefit from the trend.

There's one top AI exchange-traded fund (ETF) that could turn $10,000 into $40,000 by 2035. Continue reading to learn more about how to supercharge your portfolio for future success.

This AI ETF Could Turn $10,000 Into $40,000 by 2035

Looking at the past and future

In the last 10 years, the Invesco QQQ Trust (NASDAQ: QQQ) has generated a total return of 414% (as of June 3). This means that a $10,000 investment made in June 2015 would be worth $51,400 today. I don't think anyone in their right mind would complain with that kind of fantastic result. Even better, the expense ratio of 0.20% is a minimal cost to bear for that type of gain.

There's no guarantee that past returns will repeat themselves going forward. Let's assume that there is a slowdown. Even so, I wouldn't be surprised if investors who put the same $10,000 in this ETF today see a fourfold gain in the next decade, resulting in a 15% annualized return.

There's a lot of talk about how the stock market's current valuation is expensive. But consider that this has been the general narrative for a very long time. Yet that hasn't prevented equity markets from marching higher. The rise of passive investing, ongoing economic expansion, and dominance of tech-driven enterprises have all played a part. I'm fairly confident these trends will continue.

Diversified exposure to artificial intelligence

The Invesco QQQ Trust can be considered a top AI ETF, even though it contains 100 stocks in total. There is heavy concentration among the top positions, many of which have a meaningful AI focus.

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