How the DHS Work Permit Rule Impacts Supply Chain Labor

On June 5, 2026, the Department of Homeland Security published a proposed rule, “Clarification of Discretionary Employment Authorization for Certain Aliens,” that would eliminate discretionary employment authorization for three EAD categories: aliens on parole, deferred action, and orders of supervision, listed as (c)(11), (c)(14), and (c)(18). DHS estimates 978,308 annual applications are affected. The comment period closes August 4, 2026, and the rule is still at the NPRM stage, so its final form, effective date, transition rules, and litigation risk are not settled.[1]

For supply chain operators, the practical question is narrower than the immigration debate around it: which labor pools become harder to access, and where is there already too little slack to absorb the loss? DHS’s own estimate puts the ten-year lost-earnings cost between $9.1 billion and $27.9 billion, calculated from 10th percentile annual wages of $36,144 and average annual wages of $81,440.[1] That estimate does not say every affected applicant currently works in a warehouse, plant, truck yard, field, or jobsite. It does say the proposed rule reaches a workforce large enough that employers cannot treat it as a background policy change.

The Rule Hits a Labor Market That Was Already Running Thin

The impact on supply chain labor depends less on a single national labor number than on where affected workers are concentrated and how hard those roles already are to refill. Immigrants make up about 20% of the manufacturing workforce and about 20% of the transportation workforce, while farmworkers are about 73% immigrant.[2] Warehouse labor is estimated at roughly 25% immigrant, but that figure should be treated as an estimate from sector analysis rather than a clean, direct administrative count.[3]

Those shares matter because supply chain labor is not interchangeable on a useful timeline. A picker on a night shift, a CDL driver, a CNC operator, a harvest crew member, and a framing crew laborer all sit inside different hiring funnels. When one pool tightens, the answer is rarely as simple as moving workers from another sector. The same local labor market may already be bidding for warehouse associates, delivery drivers, production workers, and construction crews at once.

A proposed rule does not remove labor on its publication date. It changes the risk profile of future authorization, renewal, and hiring pipelines. That distinction matters for planning: operators should not assume an immediate cliff, but they also should not wait for a finalized rule before identifying which facilities and job families rely on workers whose authorization could become unavailable.

Warehousing Shows the Shortage at the Posting Level

Warehousing deserves special attention because the labor market evidence is concrete. From December 2024 through April 2025, the US warehouse labor market recorded more than 320,000 unique job postings, with a median hourly wage of $19.05 and a median posting duration of 29 days.[3] A 29-day posting duration is not just an HR metric. It is a month of supervisors juggling overtime, training substitutes, reassigning experienced workers, or deciding which dock, line, aisle, or shift absorbs the gap.

The estimated immigrant share of warehouse labor is not precise enough to support facility-level claims by itself. It does, however, mark a plausible exposure zone. A regional distribution center that already struggles to staff second shift cannot assume the affected EAD categories are irrelevant simply because its own headcount report does not label workers by immigration pathway. Many employers know work authorization only as an I-9 and E-Verify workflow, not as a clean analytical category inside labor planning.

The first consequence is time-to-fill. If a facility already waits nearly a month at the median posting duration, a smaller eligible labor pool pushes managers toward overtime, temp agencies, sign-on bonuses, looser attendance tolerance, or slower ramp plans. Each of those choices has a different cost. Overtime burns the reliable core. Temp labor can reduce productivity during training-heavy periods. Wage increases can help one facility while pulling workers from another node in the same network.

The second consequence is schedule fragility. Warehouses do not fail only when headcount falls below plan; they fail when the missing people are attached to the wrong hour. A site can look staffed on a weekly average and still miss trailer unload windows because the thin spot is Sunday night, freezer selection, returns processing, or forklift-certified labor. That is where warehouse-specific tools such as AI workforce scheduling and labor planning in warehouse fulfillment centers can help expose coverage risk earlier. They do not replace the missing worker; they make the shortage harder to hide inside averages.

Transportation, Manufacturing, Agriculture, and Construction Do Not Fail the Same Way

Transportation is exposed because driver availability is already a binding constraint. The trucking sector faces a shortage of about 80,000 drivers, and immigrants account for about 20% of the transportation workforce.[2][4] A reduction in eligible workers does not need to touch every fleet to matter. It can show up first in the lanes that are hardest to staff: undesirable schedules, long dwell-time customers, remote pickup points, seasonal surges, or routes where driver turnover is already high.

In transportation, the operational risk is not only wage inflation. It is service reliability. A shipper can pay more for a lane and still lose optionality if the driver pool shrinks at the same time carriers are protecting their best drivers for preferred freight. The proposed rule would not create the driver shortage, but it could make the shortage less forgiving.

Manufacturing has a different pressure point. With more than 500,000 manufacturing openings and immigrants representing about 20% of the sector workforce, the issue is not merely whether a plant can fill entry-level roles.[2][4] It is whether open positions force production managers to change line schedules, delay maintenance, hold back volume, or rely on overtime in roles where training and safety discipline matter. In a plant, a missing worker can become a throughput issue long before it becomes visible as a lost customer order.

Agriculture carries the highest immigrant workforce dependency among the sectors in this analysis. Farmworkers are about 73% immigrant.[2] That does not mean the proposed EAD categories account for 73% of farm labor; the research does not support that leap. It means the sector has less room to absorb any policy shock that narrows work authorization pathways. Labor loss in agriculture can travel downstream into processing, cold storage, food distribution, and retail availability, especially where timing matters more than inventory buffers.

Construction matters to supply chain leaders even when they do not employ construction labor directly. The sector faces a shortfall of roughly 500,000 workers.[5] Warehouses, plants, cold storage facilities, yard expansions, conveyor retrofits, and maintenance projects all depend on construction capacity. If construction competes harder for overlapping local labor pools, supply chain operators may face slower buildouts and higher project costs at the same time they are trying to redesign networks around labor scarcity.

The Compliance Decision Is Bigger Than the Enrollment Fee

The proposed rule also uses E-Verify as a practical gate. DHS estimates E-Verify enrollment costs at $126.69 in the first year and $59.87 annually after that.[1] On paper, that is a modest administrative cost. In an operating budget, the larger number is the turnover cost DHS associates with non-enrolled employers: $8,096 to $18,243 per affected worker.[1]

That contrast changes the employer decision. A multi-state logistics operator is not choosing between a small compliance task and no cost. It is choosing between earlier process discipline and the possibility of discovering exposure only when a worker cannot continue, a renewal is denied, or a hiring pipeline no longer produces eligible candidates. State-level E-Verify mandates add another layer because a company may already be enrolled for some facilities while other sites operate under different practices.

For HR and operations teams, the useful audit is not a political headcount. It is a workflow audit: which facilities use E-Verify, which job families have the highest turnover, which staffing vendors supply workers into those roles, which contracts assign compliance responsibility, and which supervisors are already carrying unfilled shifts through overtime. The turnover-cost range matters because the same worker loss is more expensive in a role with training time, safety certification, or schedule scarcity.

This is also where DHS’s expanding footprint in supply chain operations becomes operational rather than abstract. Immigration authorization, cyber expectations, trade enforcement, and technology oversight increasingly meet inside the same companies. The trend is visible beyond labor policy, including in Homeland Security’s growing role in AI supply chain security. For supply chain executives, that means regulatory monitoring is no longer a legal department side channel; it is part of capacity planning.

What to Do Before August 4

Because this is still a proposed rule, planning should stay disciplined. The wrong response is to assume the harshest possible version and start making unsupported facility claims. The other wrong response is to wait for a final rule and then ask plant HR or warehouse supervisors to solve a labor shortage on short notice.

• Quantify exposure by facility and job family, not just by total headcount. Focus first on roles with long posting duration, high turnover, certification requirements, or chronic overtime.
• Review E-Verify readiness across states. Identify which sites are enrolled, which vendors use it, and where state mandates already create different operating rules.
• Model replacement and turnover costs using role-specific assumptions. A generic average labor cost will miss the difference between a short-training warehouse role and a production role that requires safety or equipment qualification.
• Ask staffing agencies and labor contractors how they track authorization risk, renewal timing, and E-Verify obligations. Contract language matters less if the operating team finds out after a shift is uncovered.
• Submit comments before August 4, 2026, if the proposed rule materially affects hiring, retention, compliance workload, or service reliability. The comment record is the place to explain operational consequences with facility-level evidence.

Automation and AI deserve a place in that plan, but not as a one-for-one answer to nearly one million affected annual EAD applications. The more useful question is where technology reduces dependence on the most fragile parts of the labor plan. In warehousing, that may mean better labor forecasting, slotting, shift design, and exception management. In manufacturing, it may mean removing avoidable manual touches or improving production scheduling. In transportation, it may mean reducing detention and empty miles so scarce driver hours go further.

The limits should be stated plainly. A scheduling system can reveal that Tuesday night freezer labor is short; it cannot produce trained workers by itself. Automation can reduce touches over time; it rarely arrives fast enough to cover an immediate authorization shock. The stronger case for tools such as AI in supply chain labor planning is resilience: fewer surprises, better use of available people, and clearer tradeoffs when a site cannot hire fast enough.

The final rule may change, and litigation could alter timing or implementation. That uncertainty is not a reason to ignore the exposure. Supply chain leaders have enough information now to map where discretionary work authorization intersects with hard-to-fill roles, where E-Verify readiness is uneven, and where replacement costs would land first if the proposed rule is finalized.

References

1. Clarification of Discretionary Employment Authorization for Certain Aliens, Federal Register, June 5, 2026.
2. Immigration and the Supply Chain, Bipartisan Policy Center.
3. U.S. Warehouse Labor Market Tightens as Demand for Skilled Hourly Workers Surges, Global Trade Magazine.
4. Immigration Policy Solutions to Shortages in Critical Sectors of the U.S. Economy, Center for Strategic and International Studies.
5. Immigration Enforcement and Its Economic Ripple Effects, WES.