Why Power Is the New Constraint in Data Center Strategy
The Electricity Reckoning
For decades, data center operators competed on connectivity, latency, and redundancy. Today, a new variable has moved to the top of the site-selection checklist: access to electricity. The explosive growth of AI workloads has transformed power availability from a background planning assumption into the primary strategic constraint facing the industry — and the fintech firms that depend on it.
The scale of projected demand is staggering. Goldman Sachs Research forecasts that global power consumption from data centers will grow by as much as 165% by 2030 compared to 2023 levels. More recent estimates suggest that figure could reach 220% as AI server shipments exceed earlier projections. Avid Solutions, citing Goldman Sachs Research, notes that data centers will require approximately $6.7 trillion in investment by 2030 to match growing compute power needs — the largest infrastructure investment cycle in modern history. In the United States alone, data centers are projected to account for 8% of total national power demand by the end of the decade, up from roughly 3% in 2022.
Grid Constraints and Interconnection Delays
The problem is not simply one of scale — it is one of timing and geography. AI data centers create unusually concentrated, around-the-clock electrical loads. Unlike residential or industrial demand, which fluctuates throughout the day, AI facilities run at maximum draw continuously. These concentrated 24/7 loads stress grid planning assumptions that were designed for a very different demand profile.
Deloitte's 2025 AI Infrastructure Survey of 120 US data center and power company executives found that grid stress was the leading challenge for data center infrastructure development, with 72% of respondents rating power and grid capacity constraints as very or extremely challenging. Perhaps most strikingly, there is currently a seven-year wait on some requests for grid interconnection — meaning that data centers in planning today may not be able to secure power access until well into the 2030s. Deloitte estimates that US AI data center power demand could grow more than thirtyfold between 2024 and 2035, reaching 123 gigawatts from just 4 gigawatts today.
Infrastructure planning is struggling to keep pace. Goldman Sachs Research estimates that approximately $720 billion in grid spending will be needed through 2030, and that US utilities will need to invest around $50 billion in new generation capacity just to support data center load growth. New pipeline capacity will also be required, as incremental data center power consumption is expected to drive around 3.3 billion cubic feet per day of additional natural gas demand by 2030.
Risk Management Implications for Fintech Leaders
For fintech executives, the power constraint is not just an infrastructure problem — it is a risk management challenge. Business continuity plans that assume reliable, scalable compute availability must now account for the possibility of power-driven capacity shortfalls. A firm whose cloud provider or colocation partner cannot expand its footprint due to grid interconnection delays faces real exposure to latency, throughput, and uptime risk at exactly the moment when AI systems are becoming operationally critical.
The constraint also reshapes competitive dynamics. Avid Solutions highlights that power constraints, not capital limitations, represent the main bottleneck for building new data centers. This means that well-capitalized technology firms with long-term power agreements and dedicated facilities will have structural advantages over firms that rely on spot capacity or shorter-term contracts. For fintech companies that have not yet locked in infrastructure partnerships, the window for securing favorable, long-term compute access may be narrowing.
Proactive fintech leaders are beginning to treat power access as a strategic input, alongside capital, talent, and regulatory positioning. Understanding where compute capacity is being built, how it is being powered, and what risks surround its availability is no longer the exclusive domain of the data center team — it is a board-level concern.
Citations
Avid Solutions. "13 Data Center Growth Projections That Will Shape 2026–2030." Avid Solutions, January 2026. https://avidsolutionsinc.com/13-data-center-growth-projections-that-will-shape-2026-2030/
Goldman Sachs. "How AI Is Transforming Data Centers and Ramping Up Power Demand." Goldman Sachs Insights, 2025. https://www.goldmansachs.com/insights/articles/how-ai-is-transforming-data-centers-and-ramping-up-power-demand
Goldman Sachs. "AI to Drive 165% Increase in Data Center Power Demand by 2030." Goldman Sachs Insights, February 2025. https://www.goldmansachs.com/insights/articles/ai-to-drive-165-increase-in-data-center-power-demand-by-2030
Deloitte. "Can US Infrastructure Keep Up with the AI Economy?" Deloitte Insights, June 24, 2025. https://www.deloitte.com/us/en/insights/industry/power-and-utilities/data-center-infrastructure-artificial-intelligence.html
Serverwala. "Data Centers and Fintech: Powering Financial Innovation." LinkedIn Pulse. https://www.linkedin.com/pulse/data-centers-fintech-powering-financial-innovation-serverwala-saisc