
Bank of America analysts project annual artificial intelligence capital spending to nearly triple to over $1.2 trillion by 2030, citing robust funding from hyperscalers and governments, alongside drivers like infrastructure upgrades and enterprise adoption. The firm raised its cloud capex tracker, forecasting top public cloud vendors' spending to reach $528 billion, up 19% YoY, which significantly benefits chip companies like Nvidia and semiconductor equipment providers such as Lam Research.
Bank of America analysts have issued a highly bullish outlook on artificial intelligence capital spending, forecasting annual investments will nearly triple to over $1.2 trillion by 2030. This projection is underpinned by an upward revision to the firm's cloud capex tracker, which now anticipates top public cloud vendors will spend $528 billion, reflecting a 19% year-over-year increase, revised up from a prior estimate of 16% growth. The report identifies four primary growth drivers: upgrading traditional infrastructure, defending competitive moats in sectors like search and e-commerce, sovereign AI build-outs, and enterprise adoption of AI tools. Crucially, the analysts view this investment cycle as more resilient than past ones, as it is funded by the substantial cash flows of hyperscalers—with capex equal to 25% of sales being well-covered by operating cash flows exceeding 30%—and government buyers, without requiring costly consumer device upgrades. The report dismisses concerns over vendor financing, framing Nvidia's $100 billion commitment to OpenAI as a catalyst for further investment. Key beneficiaries cited as well-positioned to capture this spending growth include chip companies like Nvidia, Broadcom, AMD, Marvell, and Credo, alongside semiconductor equipment vendors such as Lam Research and KLA.
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