A retrospective on Elaine Chao's career as Secretary of Transportation and Labor, highlighting key policies that accelerated infrastructure, autonomous vehicles, and workforce development.
Elaine Chao’s tenure as Secretary of Transportation from 2017 to 2021 was defined by a systematic deregulatory push that cut approval timelines for major infrastructure projects by years. As the first woman and first Asian American to hold the post, she leveraged executive authority to streamline environmental reviews under the National Environmental Policy Act (NEPA), reducing approval times from a decade to as little as two years for certain projects. Her agency also implemented the FAST Act’s discretionary grant programs, directing over $4.5 billion to roads, bridges, and transit systems nationwide.
“We need to get federal dollars out the door faster and smarter,” Chao stated in a 2018 speech. Her “One DOT” initiative aimed to coordinate multimodal project approvals across agencies, cutting red tape that had long stalled critical infrastructure.
The results were tangible: bridge replacements in Pennsylvania and highway expansions in Texas moved from planning to construction in record time. Yet environmental groups criticized the reduced oversight, arguing that accelerated approvals risked ignoring climate impacts. Chao’s approach prioritized speed over deliberation, a trade-off that remains debated in infrastructure policy circles. For context, analogous debates play out in climate science innovations, where AI-driven analysis seeks to balance efficiency with ecological accuracy.
Chao’s most forward-looking contribution may be her framework for autonomous vehicles (AVs). In 2018, the Department of Transportation released AV 3.0, titled “Preparing for the Future of Transportation,” which established voluntary safety guidelines rather than prescriptive regulations. This permissive approach allowed companies like Waymo and Tesla to test AVs on public roads without federal mandates, accelerating deployment in states like Arizona and California.
She also advocated for the AV START Act, which would have exempted AVs from certain Federal Motor Vehicle Safety Standards (FMVSS) that assume a human driver. Though the bill stalled in Congress, its principles influenced later rulemaking. Chao’s policy set a clear direction: innovation should not be held back by outdated rules. The Automated Vehicles Comprehensive Plan, launched in 2020, unified federal policies across the National Highway Traffic Safety Administration and other agencies, providing a cohesive roadmap for industry.
Critics warned that safety standards lagged behind deployment, especially after high-profile accidents involving autonomous systems. But Chao’s philosophy held that government should enable, not impede, technological progress—a stance that continues to influence federal AV policy today.
Earlier in her career, as Secretary of Labor under President George W. Bush, Chao championed workforce development as a solution to skills gaps. Her signature initiative, ApprenticeshipUSA, expanded registered apprenticeships by 50%, adding 150,000 new apprentices in fields like healthcare, IT, and advanced manufacturing. This growth was fueled by over $200 million in grants to industry intermediaries, creating pathways for workers without college degrees.
Chao also oversaw the implementation of the Workforce Innovation and Opportunity Act (WIOA), emphasizing sector partnerships that aligned training programs with local employer needs. She reversed the OSHA ergonomics rule, replacing it with voluntary guidelines that business groups praised for reducing regulatory burden but labor unions condemned as weakening worker protections. This balance between flexibility and safety mirrored her transportation approach.
“We cannot prepare workers for the 21st century with 20th-century rules,” Chao argued. Her tenure saw a 30% increase in federal funding for job training programs, with measurable gains in employment rates among participants.
The apprenticeship model she expanded has since been adopted by technology companies to train software developers and data analysts. For example, the Department for Work and Pensions now uses AI-driven benefits transformation to identify skill gaps, a concept that builds on Chao’s focus on data-informed workforce strategies.