Meta's Muse Spark AI Model Shows Early Promise as Investors Await Zuckerberg's Monetization Strategy

Meta Platforms unveiled Muse Spark, its new closed-source artificial intelligence model, in early April, marking a significant departure from the company's long-standing practice of releasing AI tools freely to the open-source community — and investors heading into Wednesday's first-quarter earnings call want to know exactly how the company plans to make money from it.

The model, formerly codenamed Avocado, was introduced at the start of the second quarter and is the first major AI product to emerge from Meta Superintelligence Labs, the division led by Alexandr Wang, whom Zuckerberg named chief AI officer after the company made a $14.3 billion investment in Wang's former employer, data-labeling startup Scale AI.

Muse Spark signals a pivot toward a paid-access model for developers, putting Meta in more direct competition with OpenAI, Anthropic, and Google, all of which charge for access to their most capable systems.

According to performance rankings from Arena.AI, which monitors quality across leading AI models, Meta AI currently trails Anthropic's Claude and Google's Gemini in text generation, but surpasses OpenAI's GPT in both text and vision categories. Claude leads across document and code categories, where Meta ranks further down.

Analysts at Citizens described AI as a "complementary good" for Meta and said they expect further clarity on the company's earnings call. "We are impressed with Meta's Muse Spark model," the analysts wrote in a report to clients last week, citing strength in text and vision. "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."

JPMorgan Chase analysts were similarly measured in their assessment, writing last week that Muse Spark "has brought Meta back into the AI conversation," and that "investor sentiment on Meta is turning increasingly constructive."

Truist analysts, in an April 21 report, highlighted the strategic significance of the model's closed-source architecture. "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," they wrote. "Notably, Muse Spark is closed-source, reflecting a change from Llama's open-sourced approach and a shift toward high-performance, specialized infrastructure."

For now, Wall Street's primary concern remains whether Meta's AI investments can extend beyond advertising. Analysts surveyed by LSEG expect first-quarter revenue of $55.6 billion, which would represent 31% year-over-year growth — the fastest rate since 2021 — driven largely by AI-enhanced ad targeting.

Meanwhile, OpenAI and Anthropic have seen their combined valuations climb past $1 trillion on the strength of consumer-facing AI products. Meta's stock is up 24% over the past year, compared with a 116% gain for Alphabet shares, which have been buoyed by the growth of its Gemini platform.

Meta is simultaneously cutting costs as it scales up AI infrastructure. The company announced Thursday it would lay off approximately 8,000 employees — roughly 10% of its workforce — on May 20. At the same time, Meta told investors in January that AI-related capital expenditures in 2026 are projected to fall between $115 billion and $135 billion, up from $72.2 billion in 2025.

Analysts at Loop Capital acknowledged the tension between heavy spending and tangible results. "The real bar for success," they wrote in a recent report, "is building models that power" Meta's core advertising and engagement products, adding that image and video generation models carry "greater near-term engagement and monetization implications" than foundational language models alone.

Zuckerberg has also expanded the company's AI leadership roster, bringing in former GitHub CEO Nat Friedman and his business partner Daniel Gross, previously CEO of AI startup Safe Superintelligence — which Ilya Sutskever co-founded in 2024 following his departure from OpenAI. How that leadership team translates Muse Spark's early performance into a durable revenue stream is the question likely to dominate Wednesday's call.

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