Preparing Colorado Graduates for an AI-Transformed Workforce

By late 2024, 23 percent of employed American workers were using generative AI for work at least once per week. By the time firms had begun encouraging adoption, that number reached 93 percent at participating organizations. Inference costs for AI tools dropped by a factor of 280 in 18 months. Across all jobs in the labor market, roughly one-third of the skills required to do the work changed between 2021 and 2024, with AI named as the leading driver of disruption. Three years of recent skill change matched or exceeded five years of prior change. The pace is accelerating.

This paper synthesizes the evidence from nine major research publications and labor market analyses to assess the level of AI competency Colorado higher education institutions should cultivate in graduates across all disciplines. The sources include NBER working papers, the Budget Lab at Yale, Stanford HAI, Lightcast, Anthropic's economic task analysis, and the 2025 Colorado Talent Pipeline Report. The conclusion is that AI literacy is becoming relevant to employability and career mobility in a wide range of knowledge-intensive occupations, and that Colorado's economic profile makes the state especially exposed to the consequences of inaction.

Colorado's exposure

Colorado's economy is concentrated in professional services, technology, healthcare, and financial services. These are the sectors with the highest documented AI exposure. The state's 52 percent bachelor's degree attainment rate, well above the national average, reflects this concentration in knowledge-intensive industries. The educational advantage becomes a vulnerability if degree programs do not evolve to include AI competencies. A bachelor's degree without AI literacy is increasingly analogous to a degree without computer literacy in the early 2000s. Technically complete. Functionally deficient.

The entry-level pressure

The most concerning pattern in the evidence is the disproportionate impact on early-career workers in AI-exposed occupations. Brynjolfsson and colleagues at Stanford, using ADP payroll data covering three-and-a-half to five million workers monthly, document substantial declines for early-career workers in highly exposed occupations and patterns consistent with pressure on traditional first-job pathways. Whether the cause is firm-level AI adoption or market-wide anticipatory effect, the practical consequence for graduates is the same. Competition for the entry-level positions that remain is intensifying, and graduates without AI fluency may be entering a labor market where the on-ramps they expected no longer exist in their previous form.

Where AI literacy pays

The economic return on AI competency, where it has been documented, comes through occupational mobility rather than within-job wage premiums. Humlum and Vestergaard's NBER working paper finds that AI chatbot adopters who switch occupations see their earnings grow 12 percentage points faster than other employed workers. The mechanism is movement into AI-relevant roles with higher wage premiums. For graduates entering a labor market under entry-level pressure, this mobility channel may become the primary pathway to career establishment.

The case for action

The paper presents the affirmative case for systematic integration of AI competencies across Colorado higher education, examines four counterarguments in detail, and concludes that the counterarguments do not provide a strong basis for inaction. The strongest counterargument, that aggregate employment has not collapsed, masks the occupational restructuring beneath the surface. The most practical objection, that the technology is evolving too rapidly for curriculum to keep up, confuses tool-specific training with competency-based education. The argument that some occupations have low AI exposure has merit for a narrow subset of careers but fails as a general principle for the state of Colorado, whose economy is concentrated in high-exposure sectors.

The recommendations

The paper specifies three tiers of competency for Colorado graduates. Universal AI competencies that all graduates should possess regardless of discipline, including prompt engineering, critical evaluation of AI outputs, ethical reasoning about AI use, and literacy in AI capabilities and limitations. Discipline-enhanced competencies for graduates in high-exposure fields, calibrated using the Lightcast Skill Disruption Index, with specific recommendations for business and finance, computer science, healthcare, communications, and education. And complementary skills beyond AI itself, including complex reasoning and judgment, interpersonal communication, adaptability and continuous learning, cybersecurity awareness, and sustainability and green skills.

The closing recommendations are directed to Colorado higher education leadership and include establishing universal AI literacy requirements, developing discipline-specific integration, creating mechanisms for rapid curricular adaptation, investing in faculty development, strengthening industry partnerships, addressing equity in access, and developing Colorado-specific AI workforce monitoring. The state has a documented opportunity to lead. The labor market is moving. The question is whether Colorado's higher education leaders will move with it.