Wall Street Divided on Meta AI Strategy: Goldman Warns on Costs While UBS and Guggenheim Lift Targets

Yahoo Finance ·

Wall Street analysts issued contrasting price targets for Meta Platforms on Wednesday, reflecting different views on the tech giant's artificial intelligence investments. Goldman Sachs reduced its price target from $860 to $762, pointing to potential increases in 2027 operating expenses, though it upgraded revenue forecasts due to solid advertising conditions. Conversely, UBS boosted its target from $715 to $884, highlighting generative AI monetization opportunities across WhatsApp, Messenger, and search advertising. Similarly, Guggenheim elevated its target from $700 to $850, emphasizing strong engagement metrics for the Muse agent based on Apptopia data showing 1.3 million daily average users. All three financial institutions maintained Buy ratings on the stock. Meta is set to release its third-quarter financial results after the market closes on October 21, following its recent launch of advanced Muse models on October 12. Year-to-date, Meta shares have gained over 17%.

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Goldman Sachs lowered its price target for Meta from $860 to $762 due to concerns over rising operating costs in 2027, while UBS and Guggenheim raised their price targets to $884 and $850, respectively, reflecting expectations of AI monetization. Major Wall Street investment banks all maintained 'Buy' ratings on Meta, though divergent views emerged regarding short-term cost pressures and long-term AI revenue generation capabilities. Investors should closely monitor the upcoming Q3 earnings release and user engagement metrics for Muse agents.

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Meta has gained opportunities to expand its market share in the digital advertising market through the launch of the Muse model and the introduction of AI agents, but concerns over massive infrastructure and operating cost increases extending through 2027 are capping the stock price upside. While Goldman Sachs lowered its price target based on cost pressures, UBS and Guggenheim highly evaluated the generative AI monetization potential of WhatsApp and Messenger.

The bullish scenario is that AI-based advertising automation translates into actual revenue, offsetting cost increase concerns, while the bearish scenario is that excessive capital expenditures deteriorate profitability. Key metrics to watch are the AI agent usage rate relative to daily active users (DAUs) and the guidance in the Q3 earnings release.

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