Goldman Sachs Strategist Predicts Lingering AI Concerns for Software Stocks
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In a recent statement, Goldman Sachs strategist Ben Snider highlighted the ongoing challenges facing growth stocks in the software sector due to persistent fears surrounding artificial intelligence (AI) disruptions. Investors may face a prolonged uncertainty, potentially extending for years, which is already impacting stock valuations.
Snider shared these insights with investors, noting that broad exposure to the software sector may no longer be an effective strategy as concerns over AI’s influence continue to mount. Specifically, major players in the software industry such as Servicenow, Salesforce, and Docusign have witnessed steep declines, with figures indicating a drop of 48%, 36%, and 42% respectively year-to-date. This downturn is largely attributed to the concept of ‘seat compression,’ wherein AI technologies could replace multiple human software users, thereby diminishing revenue models reliant on per-seat licensing.
A report elucidated that the software sector has seen its market capitalization shrink by approximately $2 trillion this year alone. Snider pointedly remarked that alleviating investor worries around this issue will likely demand compelling evidence indicating that AI will not fundamentally disrupt existing business models. Until such verification materializes through robust earnings and improved unit economics, stock prices in at-risk sectors may struggle to stabilize.
Echoing Goldman’s sentiments, Citi analyst Tyler Radke expressed similar apprehensions regarding the durability of business models within the software application architecture landscape. While private AI firms are projected to generate substantial new revenue, surpassing traditional software in growth metrics, the overall sentiment remains cautious.
Goldman’s earlier analysis titled “Will AI Eat Software?” suggested that while AI may not completely replace software, it is expected to necessitate significant architectural shifts. Key players like Meta, Amazon, and Alphabet were identified as resilient companies likely to navigate these changes more effectively and regain their growth momentum between 2026 and 2027.
However, the broader cohort of sizable tech stocks has faltered, with only Amazon and Alphabet showing slight positive movement this year. Concerns have shifted capital investment towards sectors with tangible assets such as data centers and infrastructure, where the risk from pure software disruptions is lower, and AI investment is anticipated to provide growth support.
Public sentiment appears to mirror the cautious outlook on Wall Street regarding AI. Recent polls have shown that a significant majority of the American public expresses concern about the ramifications of AI, particularly its effect on job availability. Many respondents reported low levels of trust in AI-generated information, with a substantial fraction advocating for more stringent regulations.
The juxtaposition of growing personal AI tool usage with rampant skepticism highlights the delicate landscape surrounding AI today. As these concerns continue to influence market behaviors and public opinion, it seems likely that skepticism will shape the future narrative about AI’s role in the software domain.
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