AI is simultaneously aiding and replacing workers, wage data suggest

Source Domain: www.dallasfed.org

Here is a summary of the article by J. Scott Davis in an unordered list format with between 4 to 8 key points:

AI vs. Labor Market: The impact of artificial intelligence on the labor market hinges on whether AI automates or augments worker tasks. Initial data suggests both effects are present.
Knowledge Types: The distinction between codified knowledge (book learning) and tacit knowledge (experience-based learning) is crucial. AI automates jobs requiring codified knowledge but complements those demanding tacit knowledge.
Employment Trends: While overall U.S. employment has increased since 2022, employment in AI-exposed sectors has declined by 5%. Employment losses are more pronounced for young people under 25, with no decline noted for older workers.
Wages: Despite employment declines in AI-exposed sectors, wages are significantly rising. The computer systems design sector saw a wage increase of 16.7% since fall 2022, outpacing national averages.
Experience Premium: Occupations exposed to AI tend to have higher experience premiums, suggesting AI complements experience and expertise while substituting for new graduates reliant on codified knowledge.
Impact on Career Progression: AI’s dual effects imply a reevaluation of traditional white-collar career progression models, which rely on on-the-job experience that will become less necessary.
Future Workforce: The future labor market will likely face challenges for young jobseekers based on solely codifiable knowledge without sufficient tacit knowledge, while older, experienced workers are potentially better positioned if their jobs value tacit knowledge.
Societal Implications: There are broader societal implications for how work is organized and how entry-level employees can effectively gain the needed experience in an era increasingly dominated by AI.