Bill Overview
Title: AI JOBS Act of 2022
Description: or the AI JOBS Act of 2022 This bill requires the Department of Labor to prepare and submit to Congress a report on artificial intelligence and its impact on the workforce.
Sponsors: Rep. Soto, Darren [D-FL-9]
Target Audience
Population: People in the global workforce
Estimated Size: 160000000
- Artificial intelligence is being integrated into various industries, altering traditional job roles.
- The bill mandates a report on AI's impact on jobs, suggesting its findings could influence future workforce policies.
- Technological adaptation can lead to job creation in technology sectors while rendering some roles obsolete in others.
Reasoning
- Given the policy's budget constraints, direct impact on an individual's wellbeing might be limited initially but could have broader implications through sustainable job creation or reshaping of existing job roles.
- The report aims to understand and predict the impact of AI on the workforce, so immediate changes might not be seen until further policy action is taken based on the findings.
- The diversity in job situations, from tech-savvy urban professionals to individuals in rural areas with limited tech exposure, must be represented.
- The impact on wellbeing is mostly predicted through potential changes in job security and type of work, which depend on how the workforce adapts to AI integrations.
- Certain groups, such as younger professionals in tech industries, might see career growth opportunities, while those in more traditional roles might face uncertainty.
Simulated Interviews
Software Engineer (San Francisco, CA)
Age: 25 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 8/20
Statement of Opinion:
- I believe the AI JOBS Act report could positively influence the tech industry.
- Understanding AI's impact might attract more venture capital.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 9 | 8 |
| Year 10 | 9 | 8 |
| Year 20 | 9 | 8 |
Warehouse Manager (Tulsa, OK)
Age: 40 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 6/20
Statement of Opinion:
- Automation through AI could lead to layoffs.
- The report may help mitigate future job losses if acted upon.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 6 |
| Year 2 | 5 | 5 |
| Year 3 | 6 | 5 |
| Year 5 | 7 | 5 |
| Year 10 | 6 | 4 |
| Year 20 | 6 | 4 |
Automotive Assembly Line Worker (Detroit, MI)
Age: 58 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- I'm worried about AI and automation taking over jobs.
- I hope the report leads to protective job policies.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 5 | 4 |
| Year 3 | 5 | 3 |
| Year 5 | 6 | 3 |
| Year 10 | 7 | 2 |
| Year 20 | 6 | 2 |
Marketing Analyst (New York, NY)
Age: 32 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 8.0 years
Commonness: 10/20
Statement of Opinion:
- AI tools make marketing more efficient but I worry about job automation.
- Report insights can guide adaptations in marketing.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 8 | 7 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 7 | 6 |
University Professor (Boston, MA)
Age: 45 | Gender: female
Wellbeing Before Policy: 9
Duration of Impact: 20.0 years
Commonness: 4/20
Statement of Opinion:
- The AI JOBS Act is essential for ethical guidance.
- It's crucial for formulating educational curricula.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 9 | 9 |
| Year 2 | 9 | 9 |
| Year 3 | 9 | 9 |
| Year 5 | 9 | 9 |
| Year 10 | 9 | 8 |
| Year 20 | 9 | 8 |
Farmer (Rural Idaho)
Age: 38 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 6/20
Statement of Opinion:
- AI could revolutionize farming if accessible.
- I'm concerned about the cost and practicality.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 5 |
| Year 3 | 6 | 5 |
| Year 5 | 7 | 5 |
| Year 10 | 7 | 4 |
| Year 20 | 6 | 4 |
Freelance Content Creator (Austin, TX)
Age: 29 | Gender: other
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 12/20
Statement of Opinion:
- Excited by AI's creative potential.
- Hope report increases access to AI tools.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 9 | 8 |
| Year 5 | 9 | 8 |
| Year 10 | 9 | 8 |
| Year 20 | 9 | 7 |
Retail Store Manager (Cleveland, OH)
Age: 52 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 7/20
Statement of Opinion:
- Digital transformation threatens traditional retail jobs.
- Hopefully, the report will ensure relevant workforce retraining.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 5 |
| Year 5 | 7 | 4 |
| Year 10 | 7 | 4 |
| Year 20 | 6 | 4 |
AI Research Student (Seattle, WA)
Age: 23 | Gender: male
Wellbeing Before Policy: 9
Duration of Impact: 20.0 years
Commonness: 5/20
Statement of Opinion:
- Excited about career possibilities AI is creating.
- The AI JOBS Act aligns with my research interests.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 9 | 9 |
| Year 2 | 9 | 9 |
| Year 3 | 9 | 9 |
| Year 5 | 9 | 9 |
| Year 10 | 9 | 9 |
| Year 20 | 10 | 9 |
Hollywood Director (Los Angeles, CA)
Age: 46 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- AI adds creative dimensions to film-making.
- The report might bolster responsible AI use in media.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 7 |
Cost Estimates
Year 1: $5000000 (Low: $3000000, High: $8000000)
Year 2: $1000000 (Low: $500000, High: $1500000)
Year 3: $500000 (Low: $250000, High: $1000000)
Year 5: $600000 (Low: $300000, High: $1200000)
Year 10: $300000 (Low: $150000, High: $800000)
Year 100: $100000 (Low: $50000, High: $500000)
Key Considerations
- Direct costs related to the preparation and dissemination of the report.
- The potential for future policy shifts based on the findings.
- Use of existing Department of Labor resources could mitigate some costs.