In this article, we discuss the 10 buzzing AI stocks according to Goldman Sachs.
The Goldman Sachs Communacopia + Technology Conference 2024, held earlier this month, brought several significant updates on the technology sector for investors, particularly focusing on innovation and financial growth across growth industries. Key discussions revolved around energy-efficient computing, artificial intelligence (AI), and advanced semiconductor technologies, signaling critical transformations in tech and telecommunications. At the conference, companies working in the tech universe outlined their strategic outlooks, emphasizing the role of energy-efficient computing in driving semiconductor growth, with industries like AI, IoT, robotics, and autonomous vehicles fueling multi-trillion-dollar shifts.
Read more about these developments by accessing 33 Most Important AI Companies You Should Pay Attention To and 20 Industrial Stocks Already Riding the AI Wave.
One of the highlights of the conference was the appearance of NVIDIA CEO Jensen Huang, who appeared alongside Goldman Sachs CEO David Solomon to discuss the AI industry in great detail. Quizzed about the recent US export controls on chips to China and the rise in geopolitical tensions potentially harming supplies, Huang outlined that his company was confident that if Taiwan Semiconductor Manufacturing Company, the Taiwan-based leading supplier of advanced AI chips to NVIDIA, was compromised, the chip supply would continue, even though it would not be as good. Huang stressed that NVIDIA possessed enough intellectual property to transfer chip production from one plant to another, if need be.
NVIDIA has lost more than 15% of market capitalization since it issued third quarter guidance numbers that raised worries about slowing earnings growth. In particular, there were concerns about the concentration of hyperscalers in the NVIDIA business model, with four large customers representing nearly half of the revenue of the firm in relation to the AI boom. Following the appearance of Huang at the conference, Goldman Sachs semiconductor analyst Toshiya Hari reiterated a Buy rating on the stock, backing the company to pick up sales in the coming months as demand for accelerated computing continued to be really strong and broadened into enterprise and sovereign states.
Read more about these developments by accessing 30 Most Important AI Stocks According to BlackRock and AI News You Should Not Have Missed.
Our Methodology
For this article, we selected AI stocks by combing through the proceedings of the Goldman Sachs 2024 Communacopia and Technology Conference. These stocks are also popular among hedge funds. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).
Buzzing AI Stocks According to Goldman Sachs
10. ASML Holding N.V. (NASDAQ:ASML)
Number of Hedge Fund Holders: 81
ASML Holding N.V. (NASDAQ:ASML) makes and sells advanced semiconductor equipment systems. Skip Miller, a senior executive of the firm, spoke at the Goldman Sachs 2024 Communacopia and Technology Conference earlier this month, noting that the market recovery so far this year and the growth were primarily AI related. He added that this was the case for both the Logic and the Memory markets. However, per Miller, the other more traditional PC, smartphone, and auto industrial markets were a bit slower to recover. Miller stressed that there were clear indicators that with inventory levels coming down, litho tool utilization was going up to give investors some confidence in the recovery.
The ASML Holding N.V. (NASDAQ:ASML) bigwig underlined that AI was not like a new thing that popped up, rather it had long-term trends and secular trends that his firm had been talking about for a number of years. He said that AI was moving beyond server and cloud to different end devices, creating a significant opportunity for businesses.