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By Intermission· 1,859 words

ResearchEvidenceQuestion

Where will the most value and profits accrue in the AI stack?

Evidence(8)

  1. Gartner publishes cross-layer AI spending estimates

    [11]

    Gartner’s estimates used in the report put 2026 worldwide spending at $269.703 billion for AI application software, $329.528 billion for AI-optimized servers, and $267.934 billion for AI-processing semiconductors. The figures are market-spending estimates, not company revenue or profit forecasts.

    1

    The Gartner estimates used by the report support its cross-layer comparison: infrastructure and semiconductor spending remained larger than application-software spending through 2026, even as every category expanded rapidly. These are spending estimates, not profit forecasts, so they support the report’s industry-position argument but do not establish which layer will earn the highest shareholder returns.

  2. Broadcom expands the custom-silicon and networking opportunity

    [3]

    In Q3 FY2026, Broadcom reported $29.6 billion of revenue, $16.7 billion of AI semiconductor revenue, AI semiconductor growth of 221% year over year, and $13.7 billion of free cash flow.

  3. TSMC reports strong leading-edge foundry economics

    [5]

    For Q2 2026, TSMC reported US$40.20 billion of revenue, a 67.7% gross margin, 60.3% operating margin, 55.6% net profit margin, and net income attributable to shareholders of NT$706.56 billion, up 77.4% year over year.

  4. Vertiv demonstrates the physical-infrastructure bottleneck

    [8]

    Vertiv reported Q2 2026 sales of $3.274 billion, up 24% year over year, adjusted operating margin of 22.6%, operating cash flow of $1.1 billion, and adjusted free cash flow of $925 million.

  5. Microsoft shows large-scale cloud monetization alongside heavy investment

    [9]

    Microsoft reported FY26 Q4 revenue of $90.0 billion, Microsoft Cloud revenue of $59.3 billion, Azure and other cloud-services growth of 43%, more than 30 million paid Microsoft 365 Copilot seats, and full-year additions to property and equipment of $115.948 billion.

  6. Alphabet highlights the capital intensity of AI monetization

    [10]

    Alphabet reported Q2 2026 capex of $44.9 billion, raised full-year 2026 capex guidance to $195–205 billion, reported Google Cloud revenue growth of 82% to $24.8 billion, and recorded Q2 free cash flow of negative $5.9 billion.

  7. NVIDIA reports exceptional Q2 FY2027 economics

    [1]

    NVIDIA reported Q2 FY2027 revenue of $96.2 billion, including $89.0 billion from Data Center, with GAAP and non-GAAP gross margins of 75.0% and free cash flow of $21.341 billion.

  8. Arista reports strong AI-fabric and networking growth

    [4]

    Arista reported Q2 2026 revenue of $3.036 billion, up 37.7% year over year, with GAAP and non-GAAP operating margins of 45.4% and 49.9%, respectively.

Sources

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