Who Pays for AI?

Resource ledgers

AI data center resource costs by market

Each ledger explains AI demand’s market effect, who pays or benefits, the supply constraint, the attribution boundary and the evidence that changes the grade.

AI-drivenAI is the main documented cause
AI-contributingAI is one measurable cause among several
Contestedthe available measures do not isolate AI’s effect
Scapegoatedthe evidence does not support the stated blame
SemiconductorsAI-driven

Memory (DRAM & HBM)

3:1HBM-to-DDR5 capacity trade ratio reported by Micron

AI memory demand is squeezing the same production capacity used for ordinary DRAM.

See the evidence
SemiconductorsAI-contributing

Storage (NAND & SSDs)

+30.4%BLS storage-device PPI, Jan 2024 to Jun 2026

Storage prices rose 30.4% in 30 months while AI and the server refresh cycle drew on the same NAND capacity.

See the evidence
Grid equipmentAI-contributing

Transformers & Switchgear

1–2+ yrdistribution-transformer lead time in 2024

Data centers are adding demand to a transformer shortage that started earlier.

See the evidence
Generation equipmentAI-contributing

Gas Turbines

100 GWGE Vernova backlog plus slot reservations, Q1 2026

Data centers occupy turbine slots within a broader power-construction boom.

See the evidence
LaborContested

Electricians & Skilled Trades

757,220U.S. electrician jobs in May 2025

Data-center construction competes for a scarce electrician workforce in concentrated regional bursts.

See the evidence
Local buildoutContested

Construction Inputs

No clean seriesnational AI-attributable price measure

Hyperscale projects dominate their local construction markets while barely moving national averages.

See the evidence
EnergyAI-contributing

Electricity

11.8%LBNL reference-case share of U.S. electricity in 2030

Data centers reach 11.8% of U.S. electricity by 2030, and utility tariffs decide who pays for the buildout.

See the evidence
Local resourcesContested

Water

>10,000×observed workload-level water-use variation

Data-center water use varies by more than 10,000-fold across locations and system designs.

See the evidence
Grid accessScapegoated

Interconnection Queue

5 yearsmedian request-to-operation time for projects built in 2023

AI did not create the five-year generation queue. Large data-center loads do create new grid work.

See the evidence
FinancingContested

Capital Markets

No measured effectmatched cost-of-capital comparison

AI absorbs enormous investment budgets, and no measured increase in other borrowers’ costs has been found.

See the evidence