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[TECHNOLOGY] · United States, Japan, Malaysia, South Korea, Taiwan · 29 sources

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AI infrastructure investment projected to drive massive global spending through 2030

The global artificial intelligence sector is experiencing massive infrastructure expansion, with Goldman Sachs Research projecting total global AI investment to exceed $1 trillion by 2026. Bain & Company estimates that global investment in data center construction could reach between $5 trillion and $6.5 trillion by 2030.

To sustain this buildout, the industry may require approximately $6 trillion in annual revenue by 2031. Currently, existing AI applications—including consumer subscriptions and enterprise software—are projected to generate between $1.2 trillion and $1.8 trillion annually, leaving a significant revenue gap that must be filled by new innovations in robotics, autonomous systems, and physical AI.

In terms of deployment, Futurum Research projects that 44% of AI infrastructure will run on hybrid and edge deployments by 2030, as organizations seek greater control over data residency. This shift is driven by concerns over sovereignty, with 68% of executives reporting challenges in meeting data residency requirements. Meanwhile, the demand for hardware remains robust, with capital expenditures by six major hyperscalers expected to exceed $1.3 trillion by 2027.

Entities

Bain & Company · Barcelona Free Zone Consortium · Futurum Research · Goldman Sachs · IBM · International Monetary Fund · Malaysia · Nippon Life Insurance · S&P Global Ratings · Templafy

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