Performance Analysis of AI-Powered Exchange-Traded Funds
It has been determined that exchange-traded funds managed entirely by artificial intelligence do not always beat market indices in the long run, presenting a mixed performance picture.
When examining market data for the world's first fully AI-focused exchange-traded funds, it was observed that while some funds achieved success in the short term, they failed to consistently outperform simple index funds in the long term.
History of Artificial Intelligence in the Financial Sector
Wall Street has been training machines to make stock selections for decades, and quantitative funds have been using statistical and mathematical computer models since the 1970s.
While asset managers increasingly turn to machine learning to process data that humans cannot process at a similar speed, artificial intelligence gained popularity following the launch of ChatGPT in November 2022.
The First AI Funds Launched in the Market
Amplify Investments launched the first fund in October 2017 that analyzed financial statements, news, sentiment analyses, and macroeconomic information using IBM's Watson technology and the EquBot system.
Following this step, Qraft Technologies introduced the Qraft AI-Enhanced U.S. Large Cap Momentum ETF and Qraft AI-Enhanced U.S. Large Cap ETF funds to investors in May 2019.
Long-Term Performance and S&P 500 Comparison
The AIEQ fund, which has been operating for nearly nine years, has managed to achieve a 100.2 percent value gain since its inception.
During the same period, the S&P 500 index recorded a gain of approximately 199.7 percent, which surpassed the performance of this AI-focused fund.
Short-Term Trends and Cost Factors
Newer AI funds, such as AMOM, showed stronger short-term performance by outperforming the S&P 500 index year-to-date and over a one-year period.
In contrast, AI's overall investment track record remains mixed, and true AI stock-picking funds generally carry higher expense ratios compared to passive index funds.