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Dataset 2026.07.04 ARK-DATA-001

The U.S. skilled-trades
shortage, as data.

The open dataset behind the briefings. Annual hire-ready supply, bottom-up demand, and the resulting gap for the trades America's reindustrialization runs on, computed with the Arklight Demand Model. Free to reuse with attribution. The numbers are below, and the raw file is one click away.

Project Arklight
Research · Austin, Texas
Open data · CC BY 4.0

Most numbers on this site live inside an argument. This page pulls them out. It is a single, structured, citable table of the shortage, so an analyst, a reporter, or a language model can quote the figure without reading the whole briefing. Every number here is reproduced from a published Arklight briefing and built on one method: the Arklight Demand Model.

The annual gap, by trade

Each row is one trade: how many hire-ready workers the pipeline produces in a year, how many the workload actually demands, and the difference. Supply is readiness-discounted (people who can work a critical-path job on day one, not total credentials issued). Demand is built bottom-up across three layers. The gap is what's left unfilled every year.

TradeHire-ready supply / yrDemand / yrAnnual gap
Electricians~10,000~97,000~87,000
Machinists~16,000~56,000~40,000
Metal fabricators~37,000~85,000~48,000

Geography: United States. Period: 2026 annualized. Source: Project Arklight, computed with the Arklight Demand Model. Full derivation in the electrician, machinist, and fabricator briefings.

Download the data

The table above, as a machine-readable file. Reuse it in your own analysis, cite it, or feed it to a model. Attribution is the only condition.

Download CSV → arklight-demand-model.csv · 3 trades · CC BY 4.0

Sector-demand signals

Beyond the three modeled trades, four sector figures recur across the briefings. Unlike the table above, these come from external sources, not the Arklight model, and are collected here for context. Each links to the briefing that sources it.

SectorDemand signalHorizonBasis
U.S. manufacturingUp to ~2.1M jobs could go unfilledby 2030Deloitte & The Manufacturing Institute
Nuclear power~100K today vs. ~375K needed to quadruple the fleet; ~40% eligible to retire within 10 yearsto 2050DOE / NEI, via Arklight brief
Submarine base~100K new skilled trades needed; base ~25% below staffingover 10 yearsBlueForge Alliance; GAO
Semiconductors~67K of ~115K new jobs at risk of going unfilled; technicians the largest sliceby 2030SIA / Oxford Economics

These are demand and workforce-condition signals, not supply-demand-gap computations. Treat them as sourced context; the modeled gap figures are in the first table.

How to cite this dataset

If you use these figures, please attribute them. A citation also helps the next person trace the number back to its method.

Cite as

Project Arklight (2026). The Arklight Demand Model: U.S. Skilled-Trades Shortage Dataset. https://www.arklight.us/research/demand-model-dataset

Method, license, and caveats

The supply-demand-gap figures are computed with the Arklight Demand Model: a bottom-up, three-layer demand estimate measured against a readiness-discounted supply, which is why the gaps run several times larger than official openings figures. The model is deliberately conservative on supply and explicit on demand, so each gap is a floor, not a ceiling. Point estimates are directional; the range and direction are robust. The data is released under Creative Commons Attribution 4.0: free to reuse, including commercially, with attribution.

Frequently asked

What is this dataset?

An open, citable table of the U.S. skilled-trades shortage: annual hire-ready supply, bottom-up demand, and the resulting annual gap for electricians, machinists, and metal fabricators, computed with the Arklight Demand Model. It also collects four sourced sector-demand signals for nuclear power, the submarine industrial base, and semiconductor manufacturing. A CSV download is included.

How large is the U.S. skilled-trades shortage?

On the Arklight Demand Model, the annual gap is about 87,000 electricians, 40,000 machinists, and 48,000 metal fabricators. Across all of manufacturing, Deloitte and The Manufacturing Institute estimate up to 2.1 million jobs could go unfilled by 2030. The trade-level figures are modeled bottom-up; the 2.1 million figure is an external projection included for context.

Can I reuse or cite these numbers?

Yes. The dataset is released under Creative Commons Attribution 4.0 (CC BY 4.0), so it is free to reuse, including commercially, as long as you attribute Project Arklight and, ideally, link back to this page so the figure can be traced to its method.

How were the gap figures calculated?

Demand is built bottom-up in three layers: a replacement floor (retirements and attrition), organic growth from the BLS baseline, and a project-driven layer modeled from real capital signals such as data-center and fab capex, grid build-out, and defense hiring. Supply is hire-ready entrants from credential pipelines, readiness-discounted. The gap is demand minus supply. Full method is on the Arklight Demand Model page.

How current is the data?

The trade-level figures are annualized for 2026 and refreshed as the underlying briefings are updated. Sector signals carry their own horizons (2030 for manufacturing and semiconductors, 2050 for nuclear, a rolling ten years for the submarine base). The page shows its last-modified date.

About Project Arklight

Project Arklight is a workforce-development company rebuilding how America trains skilled industrial labor.

We run a software-enabled trade school, Trade School 2.0, that assesses, trains, and deploys production-ready operators (electricians, machinists, welders, fabricators) to the companies reshoring American manufacturing. We also publish original research on the skilled-labor gap: where it is, how deep it runs, and what it takes to close it. A shortage of skilled workers is the biggest obstacle to rebuilding American industry, and Project Arklight exists to remove it.

Content & Research

The number is the argument.
Now do something with it.

These figures are the gap. We built Project Arklight to close it. Read the briefings behind the data, or partner with us.