The infrastructure of the United States is adjusting to the realities of artificial intelligence (AI) with data centers, strengthened broadband systems, and galvanized energy grids. Preparing our utilities and systems for the future is essential, but will be futile if the population itself is unequipped. Resources to educate and prepare Americans to participate in the innovation powering the country are both available and multiplying.
The U.S. Department of Labor released an AI Literacy Framework to guide the deployment of AI literacy efforts in the workplace and education systems. The framework was created in coordination with the U.S. Department of Education. Secretary of Education Linda McMahon said, “To build the next great American talent pipeline, we must equip all students with the skills necessary to address tomorrow’s challenges…” With an emphasis on engaging the workforce, the goal of the framework is both competency and responsibility. The foundational content areas of AI literacy listed are: understanding AI principles, exploring AI uses, directing AI effectively, evaluating AI outputs, and using AI responsibility.
AI is already quite common in the workplace, with Pew Research Center reporting in 2025 that one in five workers use the technology in their job. The prevalence of use is precisely why the U.S. Department of Labor’s framework is so crucial—it provides a system for evaluating current use and improving future uses. The Department presciently included the caveat that, “The framework reflects input from employers, training providers, state and local agencies, and other workforce and education stakeholders, and will continue to evolve based on stakeholder input, advances in AI capabilities, and labor market changes.” Instead of creating restrictive regulations that will quickly become obsolete as the technology evolves, the framework offers guiding principles and key metrics that can adjust to the fast pace of AI development. This is a model response to new technologies: encouraging education, responsibility, and flexibility while avoiding obstacles to innovation and improvement.
Beyond government agencies, universities are leading in preparing their faculty and students for the future. Louisiana State University (LSU), an early leader in AI adoption and innovation, has formalized its AI use and research and designated AI experts from different academic fields. Louisiana’s flagship university regularly hosts symposiums to strategically leverage AI and celebrate the genius uses of the technology on campus and around the state. In the same spirit, the University of Texas launched a new School of Computing, with dedicated curricula and resources for “preparing talent for a rapidly changing economy.” These universities are not alone in their efforts, and there is an encouraging, growing embrace of formalized academic training with AI in mind.
One of the greatest hindrances to the American worker, eager to leverage AI to its full potential, is hasty regulation. When red tape stifles innovation, the ordinary student or worker is one of the first to feel its effects. The user experience becomes less seamless, the technology itself more expensive and inaccessible. The strategic steps taken by the Department of Labor and universities around the country will be for naught if fear-based legislation has its way. For AI to power economic prosperity, the infrastructure, the people, and the laws must all be prepared.
