We recently compiled a list of Goldman Sachs’ Top Growth Investors: 34 Stocks With the Highest Investment for Growth. In this article, we will see where Advanced Micro Devices, Inc. (NASDAQ:AMD) ranks on the list.

With the 2024 U.S. presidential election over, Wall Street can now focus on the future of artificial intelligence, the Federal Reserve’s interest rate cut cycle and an economy with lower inflation. As was the case during the coronavirus pandemic, when historically low interest rates sent markets to new highs only to collapse when rates were raised in 2022, the changes now taking place should will also affect investors for at least the next two years. .

Naturally, it is worth examining what professional analysts are projecting about the future. On this front, investment bank Goldman Sachs recently updated its long-term forecast for the US stock market. In a search report Titled “Global Strategy Paper No. 71,” the bank stressed that the upgrade was necessary due to market concentration. This “concentration” refers to growing investor interest in large- and mega-cap stocks, primarily due to excitement about artificial intelligence.

Since the biggest tech companies are also the biggest investors in AI, market returns have also been focused on them. As an illustration, consider the performance of the flagship S&P index which is up 30.64% over the last twelve months. Now consider the performance of Wall Street’s leading AI GPU stock, the software company behind Windows, the social media giant that owns Facebook, Jeff Bezos’ e-commerce company, and the world’s leading search engine provider . Their stocks gained approximately 192.21%, 12.66%, 69.01%, 42.44% and 27.63% during the same period. As a result, most large-cap stocks have boosted market returns.

According to Goldman, this bifurcation implies that the flagship equal-weighted S&P index is likely to outperform the market-cap-weighted index “by 200 to 800 bps annualized” over the next decade, or between 2024 and 2034. To build its argument, the bank cites historical data that also covers the dotcom boom of the late 1990s and early 2000s. This bubble is key to understanding today’s market because it shares some characteristics with the surge in artificial intelligence stocks following OpenAI’s release of ChatGPT and Jensen Huang’s prediction that a trillion dollars in AI capacity calculation is waiting for an upgrade.

GS points out that the S&P equal-weighted index tends to significantly underperform the market-weighted index before the trend reverses. He cites the market performance of the two indices before the bubble burst to point out that “the trough in the 10-year relative underperformance of the equal-weighted index versus the cap-weighted index is is produced during the period before the dotcom bubble. (1990-2000). This saw the Equal Weight Index lag the Market Weight Index by four percentage points (pp) at the trough or bottom. After the trough, the differential reversed and the equal-weighted index outperformed its counterpart by almost seven points (pp). According to Goldman, the four-point deficit “has been closed over the past decade (2014-2024E) as the overall index has been fueled by a few mega-cap tech stocks and AI euphoria.”