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By Glad Trash Bag Capital Management· 1,715 words

ResearchEvidenceQuestion

Muse/Meta what are potential implications to the stock, opportunities to invest in liquid stocks and scenarios to validate?

Evidence(4)

  1. Meta and NVIDIA announce a multiyear AI-infrastructure partnership

    [8]

    NVIDIA announced a multiyear, multigenerational partnership with Meta covering on-premises, cloud and AI infrastructure. The arrangement supports large-scale deployment of NVIDIA CPUs, millions of Blackwell and Rubin GPUs, GB300 systems and Spectrum-X networking. This is the report’s basis for treating NVDA as a direct liquid infrastructure exposure to Meta’s AI expansion.

    1

    The report uses this announcement as evidence that Meta’s AI buildout creates a direct infrastructure opportunity for NVIDIA. It also qualifies the opportunity: the investment case remains exposed to hyperscaler spending digestion, custom-silicon substitution and valuation compression if infrastructure returns disappoint.

  2. Broadcom and Meta extend their custom-silicon and networking partnership

    [9]

    Broadcom and Meta announced a multiyear, multigeneration strategic partnership supporting Meta’s AI compute infrastructure. Broadcom will support Meta Training and Inference Accelerator (MTIA) chips and Ethernet networking; the initial commitment exceeds 1 GW and is described as the first phase of a sustained multigigawatt rollout.

  3. Meta reports second-quarter 2026 results

    [1]

    Meta reported results for the quarter ended June 30, 2026. Revenue was approximately $60.801 billion, Family-of-Apps ad impressions increased 14% year over year, and average price per ad increased 12%. The report also records costs and expenses of approximately $42.026 billion, operating income of $18.775 billion, operating cash flow of $31.862 billion, free cash flow of $0.784 billion and capital expenditure of $31.08 billion. These figures form the report’s evidence that Meta’s advertising monetization is strong but current AI infrastructure investment is compressing cash conversion.

  4. Meta releases Muse Spark 1.3

    [2]

    Meta released Muse Spark 1.3, describing improved performance across agentic and coding tasks. The model became available through Muse Code and Meta Model API. In the report’s framework, this demonstrates product capability and distribution, while the investment question remains whether those improvements translate into durable engagement, better advertising productivity, API or subscription revenue, and ultimately stronger operating income and free cash flow.

Sources

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