Investors are shifting their focus away from technology stocks, leading to a significant decline in the Nasdaq Composite, which fell over 4% in February. This downturn has been largely attributed to growing concerns about the potential disruption AI could bring to established industries. Despite this challenging environment, Wall Street strategists highlight noticeable differences among specific tech firms, suggesting that some may still offer attractive investment opportunities.
Nancy Tengler, CEO of Laffer Tengler Investments, provided insights on this situation, emphasizing the contrasting earnings reports from leading companies. For instance, Tengler’s firm maintains a position in Nvidia, which reported strong quarterly earnings, while they no longer hold shares in Salesforce due to concerns regarding its growth trajectory.
Tengler perceives Nvidia’s recent 5% pullback in stock price as a buying opportunity. She points to the significant expenditures anticipated from major tech players—referred to as hyperscalers—such as Microsoft, Meta, Amazon, and Alphabet, who are expected to invest around $650 billion this year on AI-related data center needs. “What we’ve heard from all the hyperscalers is that they just don’t have enough [computing] capacity, and that is how you generate revenues,” she said, highlighting the strong demand for Nvidia’s technology amid rising expenditures.
In contrast, Tengler expressed concerns about Salesforce. She noted that her firm previously held Salesforce shares but decided to sell as they did not foresee an appealing growth trajectory. This sentiment is echoed by broader concerns from investors questioning whether companies utilizing software-as-a-service (SaaS) solutions could start to build their own in-house AI solutions, thereby diminishing demand for services like those offered by Salesforce.
Moreover, the discussion extends to potential impacts of AI on traditional software pricing models, especially those based on user count or job positions. With Goldman Sachs economists projecting a rise in unemployment, coupled with the efficient capabilities of AI that may reduce workforce requirements, the traditional pricing mechanisms could face significant challenges.
Melissa Otto, head of visible alpha research at S&P Global, suggests that there are more appealing prospects in the memory segment, which is essential for AI applications. She noted that memory stocks have been trading at lower multiples and have experienced impressive upward revisions, resembling the trajectory of Nvidia in previous years. Major memory companies, including Micron and Western Digital, have seen a 60% rise since the beginning of the year, contrasting sharply with the nearly 24% decline in technology software ETFs.
Despite the potential opportunities within specific sectors, strategists remain cautious about calling a market bottom. Analysts from Goldman Sachs indicated that investor concerns over AI’s disruptive potential in various data-intensive industries, such as media and education, will likely persist without clear evidence of resilience in these sectors over several quarters.
As the landscape evolves, many investors are adopting a wait-and-see approach, seeking to better understand how AI advancements might reshape the technology market and implications for future investments.
