Bank of America Institute Calls Data Center Construction a Resource Shock

Deepak Jain — Tue, 02 Jun 2026 16:00:00 +0000

The Bank of America Institute, the research arm of Bank of America that publishes economic analysis drawn from the bank’s data and economists, released a report on June 2, 2026 characterizing the ongoing wave of data center construction as a “resource shock.” The framing points to strain across the three inputs every large-scale digital infrastructure project competes for: skilled construction labor, building materials and electrical equipment, and electric power supply.

Executive Summary

When a major bank’s in-house think tank labels an investment cycle a “resource shock,” it is making an economic claim, not just a descriptive one. A resource shock is a sudden shift in demand for inputs that outruns the supply side’s ability to respond, pushing up prices and lead times for everyone competing for the same resources. Applied to data centers, the term asserts that the AI-driven construction boom is no longer just a story about one industry’s capital spending — it is large enough to move markets for electricians, transformers, generators, concrete, steel, and grid capacity.

That matters because the effects of a resource shock do not stay contained. Other construction sectors — housing, manufacturing plants, public infrastructure — draw on the same labor pools and equipment supply chains. Utilities planning grid investments must now weigh data center load requests against other customers. For an institution with Bank of America’s lending and card-spending visibility into the real economy, elevating this to a formal research theme signals that the strain is showing up in measurable economic data, not just industry anecdote.

Why a Bank Is Sounding This Note

The Bank of America Institute exists to translate the bank’s proprietary vantage point — payments flows, commercial lending, economic research — into public analysis. Its choice of subject is itself informative: research arms of large banks tend to formalize themes their client-facing businesses are already encountering, such as construction lenders seeing bid inflation or corporate clients reporting equipment delays. A “resource shock” framing suggests the institute sees data center demand as a macroeconomic force rather than a niche real-estate story.

It also reflects where the money is going. Data centers have shifted from a specialized corner of commercial real estate to one of the most capital-intensive construction categories in the United States, propelled by hyperscale cloud providers and AI infrastructure buildouts. When a single project can require hundreds of megawatts of power and years of specialized electrical work, a national pipeline of such projects mechanically competes with everything else being built.

The Three Bottlenecks: Labor, Materials, Power

The report’s headline identifies the three constraints practitioners consistently cite. Labor is the most immediate: data centers need unusually high concentrations of electricians, pipefitters, and mechanical trades, and those skills take years to develop. Materials and equipment form the second constraint — long-lead electrical gear such as transformers, switchgear, and backup generators has been the industry’s chronic pain point, with order backlogs measured in years at various points in this cycle.

Power is the deepest constraint because it is the slowest to fix. A data center is ultimately a machine for converting electricity into computation, and connecting large new loads requires generation and transmission investments that operate on utility timescales — often five to ten years for major grid upgrades. This is why power availability, more than land or capital, has become the primary siting criterion for new facilities.

Winners, Losers, and the Cost Question

A resource shock redistributes advantage. Operators with land already secured, grid interconnection agreements signed, and equipment orders placed hold assets that are increasingly difficult to replicate — which supports valuations for incumbent data center platforms. Electrical contractors, equipment manufacturers, and utilities with capacity to sell are on the receiving end of the demand surge. The squeezed parties are those competing for the same inputs without data-center-scale budgets: other construction sectors facing higher trade wages and equipment prices, and potentially ordinary ratepayers if grid upgrade costs are socialized across utility customers rather than assigned to the large loads that drive them.

For enterprises buying colocation or cloud capacity, the practical translation is that scarcity flows through to pricing and lead times. When new supply is gated by labor, equipment, and power, existing capacity commands a premium — a dynamic already visible in historically low vacancy rates across major data center markets. Fair questions run in both directions, though: resource-shock framings can also overstate permanence if demand forecasts prove optimistic or if supply responds faster than expected, as it eventually did in previous infrastructure cycles.

Background

Data centers — the specialized buildings that house the servers behind cloud services, websites, and AI systems — have grown from a niche real-estate category into one of the largest construction stories in the United States. The acceleration began with cloud computing in the 2010s and intensified sharply after 2022, when the generative AI boom pushed hyperscale operators and AI companies into a race for computing capacity, with individual campuses now sized in the hundreds of megawatts. The Bank of America Institute, launched by the bank in 2022 as a public-facing research arm, has made the economic ripple effects of this buildout a recurring subject, and its June 2026 report places the construction surge in macroeconomic terms: as a demand shock hitting labor, materials, and power markets simultaneously.

Source: Data center construction creates a resource shock — Bank of America Institute, a research report characterizing the data center construction boom as a strain on labor, materials, and power supply.

⚠ What They Aren’t Saying

What the Release Doesn’t Say

The report summary available at publication leaves the quantification itself unstated: readers will want the specific figures the institute uses to size the shock — projected construction spending, estimated tradesperson shortfalls, equipment lead times, and gigawatts of incremental power demand — along with the underlying data sources and time horizon. Also unaddressed in the headline framing are the policy questions that follow from it: who pays for grid upgrades, whether the institute expects supply-side responses (training pipelines, equipment manufacturing capacity, new generation) to close the gap, and whether it sees a scenario where AI demand moderates and the shock unwinds. Finally, the report’s relationship to Bank of America’s own commercial exposure to data center lending is worth noting as context when weighing its emphasis.

Frequently Asked Questions

What did the Bank of America Institute announce?

On June 2, 2026 the Bank of America Institute published research characterizing the current wave of data center construction as a resource shock — a demand surge straining the supply of construction labor, materials and equipment, and electric power.

What is the Bank of America Institute?

It is Bank of America’s in-house research organization, publishing public analysis on economic and business trends. It draws on the bank’s economists and its proprietary view of the economy, including payments and lending data, rather than functioning as an investment-recommendation arm.

What does 'resource shock' mean in economics?

A resource shock is a sudden shift in demand for key inputs that outpaces supply’s ability to adjust, driving up prices and lead times. Applied here, it means data center construction is consuming labor, equipment, and power faster than those markets can expand.

Why is data center construction booming right now?

The primary driver is artificial intelligence. Training and running AI models requires vast computing capacity, prompting cloud providers and AI companies to build large, power-dense facilities, on top of continued growth in conventional cloud and enterprise computing demand.

Why do data centers strain the construction labor market?

Data centers require unusually high concentrations of skilled trades — especially electricians, pipefitters, and mechanical workers — because the buildings are dense with electrical and cooling systems. Those skills take years of training to develop, so supply responds slowly to demand spikes.

Which materials and equipment are in short supply?

Beyond bulk materials like concrete and steel, the chronic bottleneck this cycle has been long-lead electrical equipment: transformers, switchgear, and backup generators. Industry reports throughout the boom have described multi-year order backlogs for some of this gear.

How does data center growth affect the power grid?

Large data centers add substantial new electric load, and connecting them often requires new generation and transmission capacity. Because major grid investments take years to plan and build, power availability has become the slowest-moving constraint on new data center development.

Does the report say how big the resource shock is?

The headline framing identifies the strain but the specific quantification — dollar figures, labor shortfalls, equipment lead times, or power demand projections — was not detailed in the summary available at publication. Readers should consult the full report for the institute’s figures.

Who benefits from a data center resource shock?

Holders of scarce inputs: operators with secured land, power agreements, and equipment orders; electrical contractors and skilled tradespeople commanding higher wages; equipment manufacturers with full order books; and utilities and power producers with capacity to sell.

Who is squeezed by the resource shock?

Other construction sectors competing for the same trades and equipment, developers without secured power seeking new grid connections, and potentially utility ratepayers if the cost of grid upgrades driven by large loads is spread across all customers rather than assigned to those loads.

What does this mean for companies buying data center or cloud capacity?

Constrained new supply tends to support higher prices and longer waits for capacity. Enterprises planning significant colocation or cloud expansions may benefit from locking in capacity earlier and treating power-secured facilities as a differentiator when selecting providers.

Could the resource shock ease on its own?

Potentially. Supply responds over time — through trades training, expanded equipment manufacturing, and new power generation — and demand could moderate if AI infrastructure forecasts prove optimistic. Past infrastructure cycles have seen shortages eventually give way as both sides adjusted.

Why does it matter that this analysis comes from a bank?

Banks see the real economy through lending and payments data, so a bank research arm formalizing this theme suggests measurable economic strain, not just anecdote. That said, Bank of America also lends into the sector, which is relevant context when weighing the report’s emphasis.

Is this bad news for the data center industry?

Not straightforwardly. Scarcity raises costs and slows new projects, but it also increases the value of existing facilities and secured development pipelines. The framing is more cautionary for the broader construction economy and for grid planners than for incumbent data center operators.