AI Infrastructure Investment Surges, Driving Data Center Capex to $1.7 Trillion by 2030

The artificial intelligence (AI) boom is fueling an unprecedented surge in data center capital expenditure (capex), projected to reach $1.7 trillion by 2030, according to a recent report by Dell’Oro Group. This massive investment is driven by hyperscalers, neo cloud providers, and sovereign AI initiatives as they enter a new phase of infrastructure expansion.

Hyperscaler Investment Leads the Way

The top four US hyperscale cloud service providers – Amazon, Google, Meta, and Microsoft – are leading the charge, with combined data center capex reaching nearly $600 billion in 2026. Despite increased scrutiny regarding the returns on AI infrastructure, these companies continue to invest aggressively, supported by substantial cash reserves and a long-term focus on market share. This growth is propelled by the deployment of increasingly complex AI clusters, which are driving demand for high-performance networking, storage, inference capacity, and advanced power and cooling infrastructure.

Beyond the Hyperscalers: A Broader AI Infrastructure Buildout

Investment isn’t limited to the largest players. AI model builders, neo cloud providers, and sovereign cloud initiatives are likewise accelerating their data center deployments. global data center capex is expected to approach $1 trillion in 2026, reaching a major industry milestone sooner than anticipated.

Capex Growth and ROI Concerns

The AI infrastructure investment cycle has reached unprecedented scale, with hyperscalers projected to spend over $600 billion in 2026—a 36% increase over 2025. However, a recent analysis reveals a potential ROI crisis. AI data centers commissioned in 2025 face an estimated $40 billion in annual depreciation costs while generating only $15-20 billion in revenue at current utilization rates. This highlights the capital-intensive nature of AI infrastructure and the importance of efficient utilization.

Market Dynamics and Key Players

Nvidia currently holds a dominant 86% share of the GPU market. Capital intensity metrics range from 45-57% of revenue, indicating the significant investment required to operate AI infrastructure. This divergence in returns suggests that equipment vendors are currently achieving stronger returns than infrastructure operators.

US Tech Giants Outpace South Korea in AI Investment

U.S. Tech giants are significantly outpacing their South Korean counterparts in AI-related investments. Investments by Google and other major U.S. Tech companies are estimated to reach up to $670 billion in 2026.

Investment and ROIC: A Shifting Focus

With $650 billion expected in combined capital expenditures for 2026, a 60% year-over-year increase, the focus is shifting towards Return on Invested Capital (ROIC) and capital efficiency. The strategic logic centers on securing compute capacity and distribution to deliver lower unit costs, better latency, and reliable enterprise service levels.

Key Takeaways

• Global data center capex is projected to reach $1.7 trillion by 2030, driven by AI.
• Hyperscalers (Amazon, Google, Meta, Microsoft) are leading the investment, with nearly $600 billion in capex expected in 2026.
• ROI on AI infrastructure is a growing concern, with depreciation costs potentially exceeding revenue at current utilization rates.
• Nvidia dominates the GPU market with an 86% share.
• The focus is shifting towards capital efficiency and ROIC as investment scales.