The Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative focused on strengthening America's long-term competitiveness in artificial intelligence, has released preliminary findings from its Task Force on AI and the Future of Work. Unveiled at the SCSP’s annual AI+Expo, the findings highlight ten key aspects of AI’s current and potential impact on work and the economy, serving as a foundation for further discussion and development.
According to SCSP experts, AI has the potential to raise living standards, expand economic opportunities, and boost America's global competitiveness, but an honest assessment of how AI is reshaping labor is necessary. The Task Force, a joint effort between SCSP and Nvidia, identified rapid advancement as a defining feature of AI, distinguishing it from prior general-purpose technologies because it extends into cognitive work, impacting foundational skills.
The transition to an AI-driven economy is unpredictable, with the potential to expand human work while also eliminating or transforming jobs. Disruption and complications are expected during this period. The task force noted that new data collection and analytics will be needed to assess changing skill sets and hiring patterns. Workers must understand how AI may automate or augment key tasks, and how roles may be reconfigured even without changes in job titles.
The impact on entry-level labor remains unclear, but increased use of AI for these jobs could affect traditional talent pipelines and career advancement pathways. Adoption of AI will vary across sectors and organizations based on incentives, workflows, and institutional constraints. The types of training and roles that will have enduring value include not only digital and technical skills but also human traits like critical thinking, leadership, and adaptability. Skilled labor is also needed for constructing data centers and other AI infrastructure.
Education must be reimagined from a front-loaded system to a more flexible model that uses AI as a training tool. AI can be deployed to improve worker performance by expanding access to high-productivity tools, but outcomes depend on how AI is used and who benefits. Ultimately, the speed, scale, and complexity of AI require coordination across government, industry, and educational institutions to manage the transition. “The window for proactive intervention is open,” the authors concluded. For more information, visit scsp.ai.
