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Use of artificial intelligence (AI) has grown rapidly since the launch of ChatGPT in 2022. Because AI technology requires substantial computing power, tech companies are investing heavily in data centers with the infrastructure and computing power to meet their needs.
Companies worldwide spent nearly $1 trillion on data centers in 2025, according to a report by McKinsey & Company. Spending is projected to reach $4 trillion by 2030. While many tech companies are investing in AI, four in particular are spending the most:
These hyperscalers have significantly increased their capital expenditures to build AI-ready data centers. They're expected to account for nearly half of global data center spending in 2025.
How much are these AI companies spending on data centers? And is their massive spending good news for investors or a cause for concern? Read on for a deep dive into AI spending.
All four AI hyperscalers have more than tripled their capital expenditures (capex) over the last five years. Microsoft, an early investor in OpenAI (the organization behind ChatGPT), has more than tripled its capex spending, fueled by growing demand for data centers.
Combined capex spending at these companies rose by 84% from 2024 to 2025 alone, going from $224 billion to $413 billion. Combined, they're expected to spend between $600 and $700 billion in 2026, based on company guidance.
The figures represent total capex for each company. A significant majority reflects AI infrastructure and data centers, each company described its 2025 spending as primarily driven by AI and cloud build-out, but the figures also include other non-AI capital assets.
The breakdown of AI data center investment reveals that hardware, primarily GPUs and other AI chips, accounts for the majority of total spend, with physical infrastructure representing the remainder.
Private data center construction spending in the United States reached a seasonally adjusted annual rate of $45.1 billion per month in December 2025, up 85% from $24.5 billion in December 2023, according to U.S. Census Bureau construction spending data.
Physical construction spending is a lagging indicator. Data centers take one to three years to complete after permits and leases are signed. The current figures reflect building decisions made in 2023 and 2024. The pipeline of announced projects suggests data center construction spending will remain elevated for years to come.
The cost to build a data center varies widely by market, but most estimates fall within $10 million to $14 million per megawatt. Allianz estimates that the average data center facility costs anywhere from $500 million to $2 billion.
Here's a look at how much it costs to build data centers in major markets around the world, according to JLL.
All figures below reflect shell-and-core construction -- the building, power delivery, and cooling systems -- and exclude IT equipment such as servers and chips.
Note that AI-optimized facilities are more expensive to build than traditional cloud data centers because AI servers require more power, and as a result, cooling.
Data center investment has also poured into the Middle East. More than $30 billion is projected to be invested in the UAE for the Stargate data center project. Amazon has announced a $5.3 billion data center investment in Saudi Arabia. Equinix [NASDAQ:EQIX] has plans for a $1 billion data center investment also in Saudi Arabia, and Microsoft has also announced plans to build out its data center footprint there.
The AI infrastructure build-out is the largest coordinated capital investment cycle in technology history. The four major hyperscalers collectively spent roughly $413 billion on data centers and AI infrastructure in 2025 more than double their combined spend in 2023. Guidance and statements suggest that spending could rise to $600 to $700 billion in 2026.
Previously announced construction is beginning to materialize. U.S. data center construction spending reached a monthly rate of $45.1 billion by December 2025, up 85% from two years prior, per the Census Bureau.
The central question for investors is whether AI companies can generate sufficient returns on this capital to justify the spending. Capex at this scale compresses free cash flow. Every hyperscaler is making the same argument: that AI demand will grow fast enough to turn today's infrastructure into tomorrow's revenue. That bet may prove correct, but investors are still waiting to see if it's validated at the scale these companies are now spending.
| Name and ticker | Market capMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary. | Current price | Sector |
|---|---|---|---|
| Meta Platforms (NASDAQ:META) | $1.6 trillion | $627.52 | Communication Services |
| Microsoft (NASDAQ:MSFT) | $2.9 trillion | $390.70 | Information Technology |
| Amazon (NASDAQ:AMZN) | $2.6 trillion | $244.84 | Consumer Discretionary |
| Alphabet (NASDAQ:GOOG) | $4.2 trillion | $342.05 | Communication Services |