Policy Impact Analysis - 117/S/3570

Bill Overview

Title: Cyber Ready Workforce Act

Description: This bill directs the Department of Labor to award grants to workforce intermediaries (entities that facilitate the establishment of registered apprenticeship programs and that may partner with a business or community-based organization, or specified other partners) to support the establishment, implementation, and expansion of such programs in cybersecurity.

Sponsors: Sen. Rosen, Jacky [D-NV]

Target Audience

Population: Individuals in or joining cybersecurity apprenticeship programs

Estimated Size: 150000

Reasoning

Simulated Interviews

Computer Science Student (San Francisco, CA)

Age: 22 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm excited about the potential apprenticeships in cybersecurity because it's a field I'm interested in.
  • These programs could really help students like me to get practical experience while still in school.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 7
Year 5 9 8
Year 10 7 7
Year 20 6 6

IT Support Specialist (Raleigh, NC)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 7/20

Statement of Opinion:

  • I think this initiative is a great opportunity for someone like me to move up in my career.
  • The increased focus on cybersecurity makes me feel more secure about my job stability.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 8 6
Year 20 7 6

Data Analyst (Houston, TX)

Age: 34 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy could make transitioning into cybersecurity much more feasible and enriching.
  • Apprenticeships are needed to provide hands-on experience which is often lacking in online certifications.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 9 8
Year 3 9 8
Year 5 8 8
Year 10 8 7
Year 20 7 7

Freelance Web Developer (Denver, CO)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm considering these new apprenticeship programs seriously as a way to formalize my skills.
  • This could open new doors for job security and advancement in cybersecurity, which is becoming critical.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 6
Year 5 9 6
Year 10 8 6
Year 20 7 5

High School Graduate (New York, NY)

Age: 18 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 4/20

Statement of Opinion:

  • Knowing there are apprenticeships available makes me more interested in jumping straight into the workforce.
  • It offers a more affordable and direct path to a career.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 9 7
Year 5 9 8
Year 10 8 7
Year 20 7 6

Network Security Manager (Chicago, IL)

Age: 52 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 3.0 years

Commonness: 3/20

Statement of Opinion:

  • While my role is fairly secure, I see these initiatives as important for developing the next wave of security professionals.
  • Hopefully, this policy will also trickle-up to provide continuing education for established professionals.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 9
Year 2 9 8
Year 3 9 8
Year 5 9 8
Year 10 8 7
Year 20 7 6

HR Manager (Los Angeles, CA)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy might make recruiting more straightforward, with more qualified applicants readily available.
  • I think it improves our talent pipeline.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 9 7
Year 5 9 8
Year 10 8 7
Year 20 7 7

High School Student (Miami, FL)

Age: 16 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Seeing these programs motivates me to seriously consider a future career in cybersecurity.
  • Youth programs that give hands-on experience are really exciting to me.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 9 7
Year 5 9 7
Year 10 9 7
Year 20 8 7

Cybersecurity Consultant (Seattle, WA)

Age: 50 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I'd like to see more collaborative opportunities between private consultants and these programs.
  • It opens the door for consultancy work and mentorship roles, expanding my business.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 9 8
Year 3 9 8
Year 5 8 8
Year 10 8 7
Year 20 7 7

Unemployed, Recently Completed Coding Bootcamp (Boston, MA)

Age: 26 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • With family commitments, structured apprenticeships offer a perfect balance to get into tech while still caring for my family.
  • This policy can provide the stepping stone I need.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 6
Year 3 8 7
Year 5 9 8
Year 10 8 7
Year 20 7 6

Cost Estimates

Year 1: $500000000 (Low: $400000000, High: $600000000)

Year 2: $525000000 (Low: $420000000, High: $630000000)

Year 3: $551250000 (Low: $441000000, High: $661500000)

Year 5: $604500000 (Low: $483600000, High: $725400000)

Year 10: $681215000 (Low: $544972000, High: $817458000)

Year 100: $1197097997 (Low: $957678397, High: $1436517596)

Key Considerations