Artificial Intelligence versus Immigration: Will Technology Offset the Loss of 200,000 Truck Drivers Due to the New DOT Regulations?

Former JPMorgan Chase Global Chief Economist (Ph.D. in Economics) & Current Global Keynote Speaker

On February 12, 2026, trucking and logistics stocks suffered a sharp equity market sell-off that few had anticipated just weeks earlier. Shares of RXO, C.H. Robinson, Expeditors International, XPO, and J.B. Hunt suffered stock price losses that ranged from -5.0% to -20.5% in a single session. The catalyst was not due to higher fuel costs, labor unrest, or a recession signal. Instead, it was the unveiling of a new artificial intelligence freight-scaling platform by Algorhythm Holdings.

Source: CNBC

The company’s Semi-Cab AI tool is expected to reduce empty miles by more than 70% and enable operators to scale freight volumes by 300%-400% without increasing headcount. In an industry where margins are thin and labor costs high, those claims were disruptive. Investors quickly extrapolated a future in which AI erodes pricing power, commoditizes routing, and pressures traditional operators to invest aggressively in technology to survive.

Yet the artificial intelligence (AI) shock came just one day after an even more consequential policy development. On February 11, 2026, the U.S. Department of Transportation (DOT) finalized a rule that fundamentally reshapes the commercial driver labor pool. The rule, implemented through the Federal Motor Carrier Safety Administration, eliminates eligibility for “non-domiciled” commercial driver’s licenses (CDLs) for individuals holding Deferred Action for Childhood Arrivals (DACA), Employment Authorization Documents (EADs), Temporary Protected Status (TPS), or asylum status. It also bars non-domiciled commercial learner’s permit holders from converting those permits into full CDLs. Effective March 16, 2026, the rule is expected to remove approximately 194,000 drivers from the market over the next two years—roughly 5% to 8% of the interstate CDL workforce.

For logistics networks such as UniGroup, parent of United Van Lines and Mayflower Transit, these twin developments represent a paradox: technological abundance colliding with regulatory scarcity.

A Capacity Shock in a Tight Market

The U.S. trucking industry entered 2026 facing an estimated shortage of 60,000 to 80,000 drivers, even before the new 2026 regulatory rules were announced.

Source: American Truckers Association

Approximately 3.5 million individuals hold CDLs nationwide, but demographic trends—retirements, lifestyle attrition, and limited new entrants — continue to cause labor shortages. Approximately 200,000 of those CDL holders were classified as non-domiciled in 2025, representing 5% to 8% of active interstate operators—an additional 20,000 held non-domiciled commercial learner’s permits.

The new DOT rule disqualifies most of this cohort. Only individuals in specific visa categories—H-2A, H-2B, and E-2—remain eligible, subject to verification in the federal SAVE system. Analysts estimate that only about 6,000 drivers annually will qualify under those restricted categories, which will surely exacerbate the industry’s worker shortage.

From a pure supply-demand perspective, the math is straightforward. If 194,000 drivers exit a market already short by up to 80,000 drivers, the effective contraction in capacity can be significant. Even if attrition is phased in over two years, the directional effect is clear: fewer available drivers, upward pressure on wages, and potentially higher freight rates. For a cooperative network such as UniGroup, which relies on complex interstate routing for household goods, driver availability is often a binding constraint. AI may optimize routes, but it cannot move freight without a licensed operator behind the wheel.

Still, hope is not lost: several companies, including Aurora, offer driverless options for interstate trucking that can be supplemented by local drivers for last-mile drop-offs, as this option is less adept at completing last-mile deliveries.

Safety Justification vs. Statistical Context

Transportation Secretary Sean P. Duffy justified the new regulatory rule by citing 17 fatal truck crashes in 2025 (as reported by Fox News) involving non-domiciled drivers, resulting in 30 deaths. The stated objective is to close verification gaps and ensure consistent federal standards. Context, however, matters. Preliminary 2025 data indicate approximately 3,728 fatal crashes involving large trucks nationwide, with an estimated 4,145 total fatalities. The 17 crashes attributed to non-domiciled drivers accounted for roughly 0.45% of fatal truck crashes that year—the overwhelming majority (99.5%) involved domestically domiciled drivers.

At the same time, overall roadway fatalities declined approximately 8% in the first half of 2025, reaching the lowest mid-year rate since 2014 despite increased vehicle miles traveled. Foreign-born drivers constitute roughly 18% to 19% of the broader trucking workforce.

The policy question, therefore, is not binary. It is a trade-off analysis: does a targeted removal of a small share of crash-related incidents justify the removal of up to 8% of total driver capacity? I will leave it to the reader to make this judgment.

The DACA Paradox

The rule has drawn particular attention regarding DACA recipients. The average DACA recipient arrived in the United States at approximately age 6 or 7 and has now lived in the country for roughly 26 years. The average age of a DACA individual is about 32. Roughly 84% are included in the U.S. labor force, and virtually all of them are proficient in English.

Under the new CDL framework, these individuals are classified as non-domiciled and are ineligible to obtain or renew an interstate CDL. Yet in many states, DACA recipients may obtain professional licenses in medicine and other regulated fields. In effect, a DACA recipient could complete medical school, become licensed by a state medical board, and perform open-heart surgery, but be barred by federal regulation from driving a moving truck across state lines.

The reason for this dichotomy is that interstate trucking is federally regulated, whereas medical license approvals are regulated by the states. The optics of the contrast, however, underscore the complexity of aligning immigration policy with labor market realities.

English Proficiency Enforcement

The rule also revives strict enforcement of English proficiency standards for all CDL holders, regardless of citizenship. Under federal motor carrier regulations, drivers must be able to read road signs and communicate with law enforcement in English. Roadside inspections now carry immediate out-of-service consequences for noncompliance.

For Green Card holders and naturalized citizens, eligibility remains intact, but enforcement intensity increases operational risk. For many firms in this industry, this necessitates proactive compliance audits to avoid sudden driver grounding. Still, back-office employees—dispatchers, IT personnel, and accounting staff—are not subject to DOT English mandates. However, employers may set role-specific language requirements that are consistent with civil rights law.

Technology as Equalizer—or Threat?

The AI shock introduced by Algorhythm’s Semi-Cab platform warrants both caution and optimism. On the one hand, reducing empty miles by 70% presents a significant opportunity to operate more efficiently using fewer labor inputs. Empty miles represent structural inefficiency—deadweight fuel, labor, and depreciation costs without revenue offset. If widely adopted, AI-enabled load matching and predictive routing could increase asset utilization and mitigate labor shortages.

For some publicly traded carriers, investor anxiety stems from fear of margin compression and competitive displacement. For network-based cooperatives, the implications are more nuanced. Because they operate a distributed network of agents and independent contractors, AI could standardize routing, automate back-office tasks, and democratize advanced logistics capabilities across smaller operators. In that sense, AI may “equalize” the playing field by giving smaller firms access to enterprise-grade optimization tools. Over time, this could enhance resilience and increase productivity per driver as driver shortages intensify.

Pricing and Consumer Impact

However, if capacity contracts by 5% to 8%, freight rates are likely to face upward pressure, particularly during peak moving seasons, which may be a positive development in an industry that has been plagued by downward price pressures. For household goods movers, this may translate into higher consumer prices for interstate relocations. However, driver recruitment and training costs are expected to rise from an average range of $7,000 to $20,000 per driver, as firms compete for a smaller eligible labor pool. Truck Driver USA estimates that industry productivity shortfalls in 2025, due to labor scarcity and increased recruitment costs, amounted to $95 million per week. While AI efficiencies may partially offset these pressures, implementation lags and capital expenditures will create transitional friction.

What Will be the Net Impact of These Developments?

In the short run, the labor contraction is likely a net negative. Driver scarcity raises costs and introduces operational bottlenecks. Compliance burdens increase administrative overhead. Market volatility, as seen in the February 12, 2026, stock sell-off, reflects uncertainty. In the medium to long term, however, outcomes depend on strategic adaptation. If the industry accelerates AI integration—leverages route optimization, predictive analytics, and digital dispatch—it could mitigate empty miles and partially counterbalance the increase in labor costs. If industry-wide capacity tightens, firms with strong brand equity and coordinated networks may possess greater pricing power and adapt by utilizing driverless options for long-interstate moves.

Moreover, reduced driver supply could deter marginal entrants, stabilizing competitive dynamics. For incumbents able to navigate regulatory compliance and technology adoption simultaneously, the dual shock may still be net positive.

Summary and Concluding Thoughts

The February 2026 developments reveal a structural tension within the trucking industry. On one axis lies technological efficiency—AI promising exponential gains in asset utilization. On the other hand, lies regulatory tightening—restricting labor access in pursuit of safety and standardization. If AI productivity gains outpace labor losses, it will be a net positive for the industry. However, if regulatory contraction dominates, freight inflation could emerge, with ripple effects across consumer goods and housing mobility.

For policymakers, the challenge is balancing safety with economic throughput. For the industry, the imperative is execution: compliance rigor, workforce planning, and technological integration. The trucking sector has long been cyclical, but 2026 marks something more structural. Artificial intelligence is redefining operational baselines, while federal regulation is redefining labor eligibility. Whether this convergence ultimately strengthens or weakens the industry will depend less on headline announcements and more on how effectively firms convert disruption into optimal adaptation.

While AI may make trucks smarter, it will also require deft corporate strategies to navigate these technological advancements and regulatory challenges. For incumbents able to successfully navigate regulatory compliance and technology adoption simultaneously, the dual shock may yield a net positive outcome.