Meta’s AI Strategy: Wall Street Bets on Zuckerberg’s Vision

Meta Platforms is placing a significant bet on its new artificial intelligence model, Muse Spark, to re-energize its position in the rapidly expanding AI market. Following its first-quarter earnings report, investor and analyst commentary will be keenly scrutinized for insights into the company’s AI strategy and its potential impact on Meta’s core advertising business. This focus is particularly acute given that Muse Spark, previously codenamed Avocado, was unveiled in early April, marking a pivotal shift from Meta’s prior strategy of releasing open-source models like Llama.

The company has signaled its intention to monetize its AI technology through paid developer access, a monetization model mirroring that of industry leaders such as OpenAI and Google. The critical question for investors is whether Meta’s AI advancements can not only fortify its dominant advertising segment but also demonstrate a competitive edge against the established AI powerhouses.

Current benchmarks from Arena.AI, a platform tracking AI model performance, place Meta AI behind Anthropic’s Claude and Google’s Gemini in text generation capabilities, and only Claude ahead in vision. While Meta’s AI currently outperforms OpenAI’s GPT, it lags significantly in document and code-related tasks.

In a recent client report, analysts at Citizens described AI as a “complementary good” for Meta, anticipating extensive discussion on the company’s earnings call. They expressed optimism regarding Muse Spark’s strengths in text and vision, noting, “While the company integrated Meta AI into its core apps, we are awaiting a strategy to drive scaled consumer usage that is akin to other AI chatbots like ChatGPT and Claude as we believe this can unlock new data and ad budgets.”

Meta’s advertising business continues to demonstrate robust growth, fueled by enhanced targeting capabilities derived from AI advancements. Analysts project first-quarter year-over-year revenue growth of 31% to $55.6 billion, marking the fastest expansion rate since 2021. However, Wall Street’s attention is increasingly focused on Meta’s AI momentum beyond advertising, especially as rivals like OpenAI and Anthropic have seen their valuations surge past the $1 trillion mark. Meta’s stock has appreciated 24% over the past year, while Alphabet’s shares have surged 116%, largely driven by the success of Gemini.

The introduction of Muse Spark, the first major AI model from Meta Superintelligence Labs under Chief AI Officer Alexandr Wang, signifies a strategic pivot. Wang, formerly CEO of Scale AI, joined Meta as part of a significant $14.3 billion investment in the data-labeling startup. Meta has further bolstered its AI leadership with high-profile hires, including former GitHub CEO Nat Friedman and his business partner Daniel Gross, who previously led the AI startup Safe Superintelligence.

“This leadership shift and the subsequent nine-month rebuild of Meta’s AI stack signal an aggressive effort to close the gap with competitors like OpenAI (private) and Google,” wrote Truist analysts in a recent report. “Notably, Muse Spark is closed-source, reflecting a change from Llama’s open-sourced approach and a shift toward high-performance, specialized infrastructure.”

Meta’s internal testing data, released alongside Muse Spark, suggests the model may not yet match the performance of leading-edge AI systems from competitors. This measured approach to publicizing early performance metrics could be an effort to manage market expectations.

Nevertheless, analysts have expressed a sense of relief that Meta is actively participating in the AI race, with expectations of more model releases to follow. JPMorgan Chase analysts noted in a recent report that Muse Spark “has brought Meta back into the AI conversation.” They further elaborated, “Investor sentiment on Meta is turning increasingly constructive. The stock has been pressured by elevated expenses and capex, concerns around AI model delays, and an adverse social media legal decisions.”

In parallel with its AI push, Meta is undertaking workforce reductions to streamline operations and refocus on its AI initiatives. The company announced an upcoming layoff of approximately 10% of its workforce, totaling around 8,000 employees, scheduled for May 20. This move comes as Meta significantly increases its investment in AI infrastructure, projecting AI-related capital expenditures between $115 billion and $135 billion for 2026, a substantial increase from $72.2 billion in 2025.

Analysts at Loop Capital previously stated that Meta’s substantial investments had fostered a perception of the company “desperately spending to fix problematic AI initiatives.” The release of Muse Spark, they argue, demonstrates Meta’s capability to develop AI models that can further enhance its foundational online advertising business.

Even if Muse Spark and subsequent models do not surpass competing AI systems, their development holds significant value. As Loop Capital analysts noted, “Foundational LLM/agentic reasoning models are certainly key for Meta, but we view image/video generation models as strategically important with greater near-term engagement and monetization implications. The real bar for success is building models that power excellent products for users, creators and advertisers.”