Bill Overview
Title: COTA Act
Description: This bill authorizes state workforce development agencies to provide guidance and raise public awareness about career options in high-skill, high-wage, or in-demand industry sectors or occupations in current or emerging professions.
Sponsors: Rep. Thompson, Glenn [R-PA-15]
Target Audience
Population: Individuals seeking career opportunities in high-skill, high-wage, or in-demand industries
Estimated Size: 165000000
- The COTA Act is designed to provide guidance and awareness about careers in high-skill, high-wage, or in-demand industry sectors.
- Current and emerging professions will be the focus of workforce development agencies according to the bill.
- The workforce development will potentially affect individuals across various industries that are either currently in existence or emerging.
Reasoning
- The policy targets a large segment of the American population who are seeking to improve their career paths in high-skill and high-wage industries. Its success will rely on effectively reaching those currently underexposed to career opportunities through state workforce programs.
- This simulation includes individuals from various demographic backgrounds and different levels of interaction with the workforce development programs. The diversity in backgrounds accounts for varying levels of impact and insights into the policy's effectiveness.
- The budget constraint suggests that while the program aims to reach many, resource allocation may vary per individual based on their location, existing state agency capabilities, and personal engagement with such services.
Simulated Interviews
Software Developer (New York, NY)
Age: 28 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 10/20
Statement of Opinion:
- I think the COTA Act will highlight more opportunities for women in tech, which is quite needed.
- Access to more careers in AI could open up my chances for specialization.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 9 | 7 |
| Year 3 | 9 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 6 | 5 |
Manufacturing Worker (Tulsa, OK)
Age: 45 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 20.0 years
Commonness: 12/20
Statement of Opinion:
- If the COTA Act drives more retraining opportunities, I might be able to find a more stable job.
- Awareness programs could prevent people like me from becoming jobless.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 5 |
| Year 2 | 7 | 5 |
| Year 3 | 8 | 4 |
| Year 5 | 8 | 4 |
| Year 10 | 7 | 3 |
| Year 20 | 7 | 2 |
Freelance Graphic Designer (San Francisco, CA)
Age: 37 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 7/20
Statement of Opinion:
- The policy might help me identify new trends in UX design and improve my resilience in the gig economy.
- Connecting with emerging professions is appealing to freelancers.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 8 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 5 |
| Year 10 | 6 | 5 |
| Year 20 | 5 | 4 |
Recent College Graduate (Houston, TX)
Age: 22 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 10.0 years
Commonness: 15/20
Statement of Opinion:
- Guidance on high-demand sectors could be quite valuable as I'm exploring my career options.
- I hope it will help new grads like me find more fitting career paths quickly.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 5 |
| Year 2 | 8 | 5 |
| Year 3 | 8 | 5 |
| Year 5 | 7 | 4 |
| Year 10 | 6 | 4 |
| Year 20 | 5 | 3 |
Automobile Engineer (Detroit, MI)
Age: 60 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 4/20
Statement of Opinion:
- I'm more interested in how this policy could benefit young engineers I mentor.
- The focus on current and emerging professions will be critical for future generations, more so than for me.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 5 |
| Year 3 | 5 | 5 |
| Year 5 | 5 | 5 |
| Year 10 | 5 | 5 |
| Year 20 | 4 | 4 |
Biotech Researcher (Seattle, WA)
Age: 30 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 3.0 years
Commonness: 3/20
Statement of Opinion:
- This might provide more insight into leadership roles in biotechnology.
- Opportunities to be at the frontier of in-demand industries are appealing.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 7 | 6 |
| Year 20 | 6 | 6 |
Hotel Manager (Miami, FL)
Age: 33 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 7.0 years
Commonness: 8/20
Statement of Opinion:
- The Act could guide me on transitioning my skills to tech-related industries.
- Awareness of new career options might reduce my uncertainty.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 8 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 7 | 5 |
| Year 10 | 6 | 5 |
| Year 20 | 5 | 4 |
Nurse (Chicago, IL)
Age: 50 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 9/20
Statement of Opinion:
- The Act could help explore administrative roles within healthcare tech.
- I'm interested in knowledge about high-demand sectors within healthcare.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 5 |
Construction Worker (Atlanta, GA)
Age: 40 | Gender: male
Wellbeing Before Policy: 4
Duration of Impact: 15.0 years
Commonness: 11/20
Statement of Opinion:
- The COTA Act might be what I need to find training for more stable jobs.
- Programs that show career pathways could alleviate my job security concerns.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 4 |
| Year 2 | 7 | 3 |
| Year 3 | 7 | 3 |
| Year 5 | 7 | 3 |
| Year 10 | 6 | 2 |
| Year 20 | 5 | 2 |
Data Analyst (Boston, MA)
Age: 29 | Gender: other
Wellbeing Before Policy: 7
Duration of Impact: 8.0 years
Commonness: 6/20
Statement of Opinion:
- Connecting with high-demand industries might fast-track my growth into data science.
- Awareness is a key tool for anyone in tech looking to expand their career.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 9 | 7 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 5 |
Cost Estimates
Year 1: $400000000 (Low: $300000000, High: $500000000)
Year 2: $300000000 (Low: $250000000, High: $450000000)
Year 3: $300000000 (Low: $250000000, High: $450000000)
Year 5: $300000000 (Low: $250000000, High: $450000000)
Year 10: $300000000 (Low: $250000000, High: $450000000)
Year 100: $300000000 (Low: $250000000, High: $450000000)
Key Considerations
- Implementation costs include both federal and state expenditures, as state agencies will be central to executing the bill's goals.
- There may be varying costs across states depending on their existing capabilities in workforce development.
- The effectiveness and cost efficiency of the program will heavily depend on how each state tailors and implements the strategies.