Raw LLM Responses

There is a paper that deals with projected unemployment (occupational displacement). It predicts 30 to 60% occupational displacement in 23 years based on basic improvements in computers (improvements that are actually being exceeded). Unfortunately, this paper was published in 2007 and is targeted on the year 2030. The only hope it offers for mitigating the personal impact in all this is to drastically change and upgrade what we refer to as K-12 education. At the time this paper was published, the people graduating from college in the year 2030 had not yet been born. Now they are getting ready to graduate from high school. Nothing has been done. No politician would touch it. Just using this paper as an aid to investment has helped me to drastically change my net worth in just 18 years, and I wasn't even working at it especially. Here is the summation: Projecting the Impact of Computers on Work in 2030 Stuart W. Elliott National Research Council Prepared for the Workshop on Research Evidence Related to Future Skill Demands Center for Education National Research Council May 31-June 1, 2007 Core Premise • The paper explores how advances in computer abilities will reshape skill demand in the workforce by 2030. • Instead of extrapolating from past trends, it uses current computer science research to anticipate future capabilities. Key Findings • Potential Workforce Displacement: Computers may displace humans in occupations representing up to 60% of the current workforce by 2030. • Skill Shifts: Demand will move toward abilities computers cannot yet perform competitively, requiring higher levels of human skills. • Education Implications: Significant changes in K–12 education may be necessary to prepare students for future labor markets. Methodology 1. Human Abilities Framework: Uses the U.S. Department of Labor’s ONET database* to categorize occupational skills (language, reasoning, vision, movement). 2. Computer Science Research: Reviews AI research (e.g., language processing, reasoning, vision, robotics) to assess current and projected computer abilities. 3. Pilot Projection: Aligns computer abilities with occupational requirements to estimate automation potential. Pilot Results • By 2030, computers are projected to reach: ○ Language: Level 4 (medium complexity, e.g., contracts, instructions) ○ Reasoning: Level 5 (advanced problem-solving, though still below expert human level) ○ Vision & Movement: Level 3 (basic recognition and coordination tasks) Policy Implications • Urgency for Reform: Current educational systems may not adequately prepare students for the large-scale occupational restructuring expected. • Need for Anticipation: Policymakers should begin planning now, as educational reforms take decades to implement. • Future Research: Calls for a more rigorous, sustained effort to refine projections and guide workforce preparation. In short: The document warns that computer advancements could automate a majority of jobs by 2030, requiring major shifts in education and workforce training to avoid widespread skill mismatches.