The newly released National Security Science and Technology Strategy (NSSTS) recognizes that on the global stage of 21st century competition, human capital is the vital factor that creates, adopts, and operationalizes technological supremacy. While much attention will be directed toward the NSSTS emphasis on critical technologies of artificial intelligence (AI), quantum information science, bioscience and advanced manufacturing, some of its most consequential recommendations are focal to workforce implementation. To wit, the strategy calls for strengthening science, technology, engineering and mathematics (STEM) education, expanding technical pathways, increasing AI fluency across disciplines, and building a national security workforce capable of sustaining United States’ technological leadership.
Indeed, the U.S. currently confronts a strategic environment characterized by military competition, as well as by competition among innovation ecosystems. In this regard, technological advantage is increasingly emerging from the ability to integrate education, research, industry, and national security objectives toward a coherent system of talent development and utilization of cultivated expertise. Contemporary scientific leadership is generated through national capacity to accelerate discovery, transition innovation, and produce strategic effects at scale and speed. Thus, U.S. opportunity lies in building a more integrative pipeline that is capable of transforming educational attainment into enduring technological and geopolitical advantage.
The importance and need for such a dynamic is particularly evident given China’s approach, wherein systematic alignment of educational priorities, research objectives, industrial policy, and strategic technological goals have created a more streamlined system of innovation and inventive throughput. University research frequently serves as a foundation for patents, publications, commercial enterprises, and technological applications that can reinforce national objectives. Within the Chinese system, research trajectories have been more deliberately aligned with industrial objectives, technological adoption, and long-term defense and political strategies. While the U.S. model continues to derive strength from academic freedom, intellectual openness, and entrepreneurial dynamism, strategic competition increasingly underscores the value of yoking educational investment and engagement to national capability.
Thus, we opine that the U.S. should adopt a more deliberate, comprehensive approach to developing talent in critical and emerging technologies. The NSSTS appropriately identifies K-12 education as a beginning point for this effort; the inclusion of age-appropriate instruction in key domains of S/T reflects growing recognition that technological literacy is becoming ever more foundational to both economic competitiveness and national security.
We posit that AI will demand particular educational attention in light of its increasing functionality as both a general-purpose technology with applications spanning intelligence analysis, military planning, logistics, advanced manufacturing, cyber operations, and more specific use(s) in autonomous agentic systems engaged in multilevel decision support. To be sure, future military leaders, intelligence professionals, engineers, policymakers, logisticians, and acquisition specialists will operate in environments fortified and shaped by AI-enabled systems.
Secondary education represents a subsequent critical stage for identifying and cultivating future national security innovators, and existing programs provide a basis upon which a broader national strategy can be built. For example, the Army STEM Education Consortium seeks to create connected STEM pathways extending from elementary education through advanced research opportunities and workforce development, thereby directly linking scientific education to national defense priorities. Similarly, CyberPatriot introduces students to cybersecurity concepts and practical challenges that mirror the demands of contemporary cyber defense; and the FIRST Robotics Competition aims to develop systems engineering, programming, leadership, and problem-solving capabilities that are increasingly relevant to a technologically sophisticated workforce.
These initiatives are laudable as initial investments in fortifying current and future national scientific capacity. But it will be important to expand such programs and integrate this education more broadly into curricula to connect participants to national security career pathways crucial to strengthening U.S. long-term competitive leverage.
Colleges and universities constitute the next critical stage in this national talent architecture, and the NSSTS correctly emphasizes both AI fluency and expanded exposure to emerging technologies across undergraduate and graduate curricula. But achieving this objective will require moving beyond traditional disciplinary boundaries in order to integrate AI across engineering, physical sciences, natural sciences, public policy, international affairs, defense and security studies programs. This will be strategic as roles and implications of AI extend increasingly affect deterrence, force employment, operational planning, intelligence production, and national competitiveness.
From a national security perspective, the objective is to develop AI-fluent leaders capable of understanding how technological innovation shapes military effectiveness, economic strength, strategic competition, and geopolitical influence. Such leaders must understand how AI systems function and interact with doctrine, organizations, operational concepts, and decision-making processes.
Yet, we believe that perhaps the most significant opportunity lies in fortifying the direct relationship of research to national capability and security. The U.S. currently maintains a lead in global scientific output and high-quality research; this advantage cannot be squandered. The NSSTS prudently emphasizes stronger, more strategically oriented and relevant partnerships between government, academia, and industry to accelerate innovation and meet national security requirements. This will require mechanisms that more effectively align master and doctoral level research, federally funded science, and university innovation efforts with key operational and industrial gaps, scientific and technologic priorities.
To such ends, greater attention should be devoted to creating seamless pathways between graduate-level research and national missions in AI, quantum science, biotechnology, microelectronics, autonomous systems, and advanced manufacturing. This could enhance technology transition opportunities, public-private partnerships, national laboratories, and defense innovation ecosystems, and would bolster the process(es) of discovery through deployment and concomitantly increase strategic returns on federal research investments.
We propose additional initiatives that might merit consideration in this regard. First, the U.S. should establish a National Security AI Education Initiative to develop age-appropriate AI curricula, expand teacher training, and create standardized pathways for AI literacy from primary school through higher education in order to establish broad-based AI technological fluency as a strategic asset.
Second, scholarship-for-service programs should be significantly expanded in critical technology fields. Such programs can provide a direct mechanism for bridging educational investment to national service and strengthen the federal government's access to an available pool of highly skilled technical talent.
Third, creating a National Security Technology Reserve Corps composed of experts from academia, industry, and research institutions could rapidly contribute expertise to national missions. The NSSTS rightly highlights fellowships, temporary assignments, and expedited access to expertise as important mechanisms for workforce development. A technology reserve model would further institutionalize coordinated cooperation among sectors.
Fourth, federal research funding should increasingly incentivize interdisciplinary university-industry-government consortia that are focused on technology transition. Success metrics in such an enterprise should include workforce development, prototype creation, technology adoption, startup formation, and operational impact as well as traditional academic outputs.
Finally, modernization of the security clearance process should be regarded as a strategic workforce issue. Rapid access to scientific and technical expertise is increasingly essential in establishing and sustaining a leading position in global competition in emerging technology. Accelerating acquisition of talent into critical national security roles will augment the nation's ability to effectively and more efficiently leverage innovation.
Ultimately, we view the NSSTS workforce agenda as an acknowledgment that technological superiority depends upon a national strategy for cultivating, retaining, mobilizing, and applying talent across the innovation ecosystem.
Strategic competition of the coming decades will be shaped by leadership in critical technologies. Sustaining that leadership will depend upon the ability to build an integrated milieu that cultivates and deepens expertise in universities, transitions research into industry, and translates innovation into national power. The NSSTS provides a compelling framework for achieving these objectives. Given that the workforce is an essential infrastructural element of the national security science and technology enterprise, infrastructure the strategic imperative now is implementation.
Disclaimer
The views and opinions expressed in this essay are those of the authors and do not necessarily reflect those of the United States government, Department of War, or the National Defense University.
Dr. Elise Annett is a Research Fellow in the Program for Disruptive Technology and Future Warfare of the Institute for National Strategic Studies at the National Defense University. Her ongoing work addresses emerging operational issues arising from the use of iteratively autonomous generative and agentic artificial intelligence and quantum systems in military applications.
Dr. James Giordano is Head of the Center for Strategic Deterrence and Study of Weapons of Mass Destruction, and Program Lead for Disruptive Technology and Future Warfare of the Institute for National Strategic Studies at the National Defense University. He is also Professor Emeritus of Neurology, Biochemistry, and Ethics at Georgetown University Medical Center.