Intelligence Feed event · Equity · 2026-09-28

    Morgan Stanley Projects $1.4 Trillion Hyperscaler Data Center CapEx by 2028

    Question

    Morgan Stanley Projects $1.4 Trillion Hyperscaler Data Center CapEx by 2028

    Direct answer

    Morgan Stanley research projects that hyperscale technology operators will spend a cumulative $1.4 trillion on data center infrastructure through 2028. The sustained capital allocation reflects the ongoing transition toward AI workload hosting and accelerated computing capacity. The projected expenditure directs liquidity toward physical layer suppliers, including liquid cooling and electrical infrastructure specialist Vertiv, alongside vertically integrated data center operators like Iren expanding dedicated AI cloud capacity.

    Original publisher
    Market Ontology
    Evidence through
    2026-09-28
    Published
    2026-10-20
    Revision
    1 · 2026-10-20

    Cite as: Market Ontology, “Morgan Stanley Projects $1.4 Trillion Hyperscaler Data Center CapEx by 2028”, revision 1, evidence through 2026-09-28. https://marketontology.com/market-events/2026-09-28/morgan-stanley-projects-1-4-trillion-hyperscaler-data-center-capex-by-2028-d580d6

    EQUITY
    Morgan Stanley Projects $1.4 Trillion Hyperscaler Data Center CapEx by 2028
    Morgan Stanley research projects that hyperscale technology operators will spend a cumulative $1.4 trillion on data center infrastructure through 2028. The sustained capital allocation reflects the ongoing transition toward AI workload hosting and accelerated computing capacity. The projected expenditure directs liquidity toward physical layer suppliers, including liquid cooling and electrical infrastructure specialist Vertiv, alongside vertically integrated data center operators like Iren expanding dedicated AI cloud capacity.
    VRTIREN
    Impact
    69
    SEP 28
    SIG
    80%
    VRTIREN
    Morgan Stanley Projects $1.4 Trillion Hyperscaler Data Center CapEx by 2028
    Morgan Stanley research projects that hyperscale technology operators will spend a cumulative $1.4 trillion on data center infrastructure through 2028. The sustained capital allocation reflects the ongoing transition toward AI workload hosting and accelerated computing capacity. The projected expenditure directs liquidity toward physical layer suppliers, including liquid cooling and electrical infrastructure specialist Vertiv, alongside vertically integrated data center operators like Iren expanding dedicated AI cloud capacity.
    → A $1.4 trillion capital expenditure deployment into AI server facilities flows directly into thermal management orders for Vertiv and colocation power capacity for Iren.
    Impact
    Morgan Stanley research projects that hyperscale technology operators will spend a cumulative $1.4 trillion on data center infrastructure through 2028. The sustained capital allocation reflects the ongoing transition toward AI workload hosting and accelerated computing capacity. The projected expenditure directs liquidity toward physical layer suppliers, including liquid cooling and electrical infrastructure specialist Vertiv, alongside vertically integrated data center operators like Iren expanding dedicated AI cloud capacity.
    Affected
    VRTIREN
    Transmission
    A $1.4 trillion capital expenditure deployment into AI server facilities flows directly into thermal management orders for Vertiv and colocation power capacity for Iren.

    How this development reaches the affected companies

    AssetExposure and channelDirectionEvidence
    VRTorder backlog expansion from hyperscaler power and thermal management equipment demandUp1-3mSource identifies Vertiv as key beneficiary of $1.4T data center infrastructure spending projection
    IRENrevenue pipeline growth through AI cloud data center capacity buildoutUp1-3mSource highlights Iren AI cloud platform expansion supported by $1.4T CapEx cycle

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    What happened next

    AssetCallBase close+1 day+5 days+20 days
    IRENUpdisagreed41.72 2026-09-28-0.81%PendingPending

    Closing prices from stored daily bars; returns measured from the last close on or before the event date. Not a recommendation.

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