Meta's AI Ambitions Face Setback as 'Behemoth' Model Launch Delayed

Meta's AI Ambitions Hit Roadblock

Meta Platforms Inc., the tech giant behind Facebook and Instagram, is facing a significant setback in its artificial intelligence (AI) endeavors. The company's highly anticipated next-generation AI model, codenamed "Behemoth," has been delayed, causing ripples in the stock market and raising questions about Meta's AI strategy 1

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Delay Details and Internal Challenges

Originally slated for release as early as April 2025, coinciding with Meta's first AI developer conference, the launch of Behemoth has now been pushed back to fall or possibly later 1

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. This delay stems from engineering difficulties in achieving substantial improvements over previous versions, leading to internal debates about the model's readiness for public release 2

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Meta had previously touted Behemoth as surpassing models from competitors like OpenAI and Alphabet (Google) in certain benchmarks. However, training difficulties have hampered progress, echoing broader industry slowdowns in rolling out advanced AI models 1

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Market Reaction and Financial Implications

The news of the delay prompted a noticeable reaction in the stock market. Meta's shares fell by 2.2% to $645.07 on the day the report was published 1

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. The stock continued to face pressure, dropping as low as $635.58 before slightly recovering 4

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This setback comes at a crucial time for Meta, which has projected capital expenditures of up to $72 billion for 2025, with a significant portion allocated to AI development and infrastructure 2

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. The delay has sparked internal concerns about the company's substantial AI investments and their potential returns.

Internal Tensions and Management Considerations

The postponement has reportedly led to mounting frustrations within Meta. Some executives have pointed fingers at the Llama 4 team for the setbacks, and there are considerations of potential management changes in the AI division 1

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. These internal tensions highlight the high stakes and pressures associated with Meta's AI ambitions.

Broader Context and Competition

Meta's challenges with Behemoth reflect a larger trend in the AI industry, where companies like OpenAI and Anthropic have also faced delays in launching advanced models 1

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. This situation underscores the complexities and unpredictabilities inherent in pushing the boundaries of AI technology.

Antitrust Concerns Add to Pressure

Compounding Meta's challenges is an ongoing federal antitrust trial. The company is defending itself against accusations by the Federal Trade Commission of maintaining a monopoly through its acquisitions of Instagram and WhatsApp 2

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. This legal scrutiny adds another layer of complexity to Meta's strategic decisions and market position.

As Meta navigates these multifaceted challenges, the tech industry and investors alike are closely watching how the company will adapt its AI strategy and maintain its competitive edge in an increasingly AI-driven landscape.