Policy Impact Analysis - 117/S/3451

Bill Overview

Title: A bill to include certain computer-related projects in the Federal permitting program under title XLI of the FAST Act, and for other purposes.

Description: This bill expands the expedited environmental review and permitting process under Title 41 of the Fixing America's Surface Transportation (FAST) Act, commonly known as FAST-41, to include certain computer-related infrastructure projects. Specifically, the bill provides for the expedited review of infrastructure projects concerning semiconductors, artificial intelligence and machine learning, high-performance computing and advanced computer hardware and software, quantum information science and technology, data storage and data management, or cybersecurity.

Sponsors: Sen. Hagerty, Bill [R-TN]

Target Audience

Population: Global population impacted by computer-related infrastructure bill

Estimated Size: 50000000

Reasoning

Simulated Interviews

Semiconductor Engineer (San Jose, CA)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 18/20

Statement of Opinion:

  • This policy might help my company to speed up our development process.
  • Faster infrastructure projects mean we can compete better globally.

Wellbeing Over Time (With vs Without Policy)

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

Senior Data Analyst (Austin, TX)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 16/20

Statement of Opinion:

  • I see this as a big plus for us; less red tape means quicker project turnaround.
  • This could lead to more job stability and growth in our sector.

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 9 6
Year 10 8 6
Year 20 7 5

Quantum Computing Researcher (New York, NY)

Age: 29 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • This policy may enhance collaboration opportunities with tech companies.
  • Faster permits and reviews could accelerate our research timelines.

Wellbeing Over Time (With vs Without Policy)

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

Small Tech Firm Owner (Rural Ohio)

Age: 56 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Easier permitting could be a game changer for my business, allowing us to launch products quicker.
  • I hope this trickles down to smaller firms and doesn't just benefit the big players.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 5
Year 5 8 5
Year 10 9 5
Year 20 8 4

Cybersecurity Specialist (Seattle, WA)

Age: 42 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 15/20

Statement of Opinion:

  • This might open up new projects and expansion into emerging tech areas.
  • I expect increased workload but also more opportunities.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 5
Year 10 8 5
Year 20 7 4

AI Start-up Founder (Boston, MA)

Age: 31 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • A streamlined process could significantly reduce our go-to-market time.
  • I am optimistic about scaling faster with fewer regulatory hurdles.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Los Angeles, CA)

Age: 27 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 13/20

Statement of Opinion:

  • This might give our small team an edge in development timelines.
  • Could mean more job stability and faster career growth opportunities.

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 6
Year 10 9 6
Year 20 8 6

Regulatory Compliance Analyst (Portland, OR)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • The policy simplification will make my job more dynamic as companies look for quick consultations.
  • There may be a learning curve initially, but overall a positive change.

Wellbeing Over Time (With vs Without Policy)

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

Network Infrastructure Consultant (Atlanta, GA)

Age: 33 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 14/20

Statement of Opinion:

  • This sounds like it could make project completions faster, increasing my business opportunities.
  • I see potential for growth in the client base with increased infrastructure projects.

Wellbeing Over Time (With vs Without Policy)

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

Cybersecurity Consultant (Raleigh, NC)

Age: 38 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 17/20

Statement of Opinion:

  • Hoping the policy aids in creating more affordable solutions for small businesses.
  • The demand for consultancy could rise as new tech developments emerge.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 8 5
Year 10 7 5
Year 20 6 4

Cost Estimates

Year 1: $75000000 (Low: $50000000, High: $100000000)

Year 2: $80000000 (Low: $60000000, High: $110000000)

Year 3: $85000000 (Low: $65000000, High: $120000000)

Year 5: $90000000 (Low: $70000000, High: $125000000)

Year 10: $95000000 (Low: $75000000, High: $130000000)

Year 100: $0 (Low: $0, High: $0)

Key Considerations