Policy Impact Analysis - 117/S/4569

Bill Overview

Title: Turn OFF THE TAP Act

Description: This bill prohibits federal contracts with or provision of federal funds to designated entities. Designated entities include those subject to specified U.S. sanctions, entities that have a relationship with China's military-industrial complex, and entities that produce communications equipment or services that pose unacceptable risks to U.S. national security.

Sponsors: Sen. Rubio, Marco [R-FL]

Target Audience

Population: People associated with sanctioned or security-risk entities

Estimated Size: 500000

Reasoning

Simulated Interviews

Tech Engineer (San Jose, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm concerned about the stability of my job.
  • The company has contracts that might get cut, impacting my role.
  • I'm worried about finding similar positions locally.

Wellbeing Over Time (With vs Without Policy)

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

Supplier Relations Manager (Austin, TX)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • Some of our suppliers are getting cut due to the new rules.
  • This policy could hurt our supply chain efficiency.
  • I understand the security reasons but it's going to make my job a lot more challenging.

Wellbeing Over Time (With vs Without Policy)

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

Financial Analyst (New York, NY)

Age: 29 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • Some clients might move operations to other countries which could reduce my job pool.
  • This policy could change investment strategies drastically.
  • I feel secure at my job right now, but it's a shifting landscape.

Wellbeing Over Time (With vs Without Policy)

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

Government Contractor (Seattle, WA)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 7/20

Statement of Opinion:

  • I'm not worried for myself, but my team may face reductions.
  • We contract with a few companies possibly linked with defense industries of foreign entities.
  • Morale is down as this policy raises a lot of uncertainty.

Wellbeing Over Time (With vs Without Policy)

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

Policy Advisor (Washington, D.C.)

Age: 41 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • I think this policy is necessary but will need close implementation monitoring.
  • There might be unintended consequences with regard to relations with allied industries.
  • This is a chance to strengthen our internal tech infrastructure.

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 8
Year 10 8 8
Year 20 9 9

Software Developer (Chicago, IL)

Age: 31 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 9/20

Statement of Opinion:

  • I see tech companies adapting quickly to the changes.
  • There might be more opportunities for local startups due to this policy.
  • I am optimistic about the long-term outlook for my industry.

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 9
Year 20 9 9

Manufacturing Plant Operator (Detroit, MI)

Age: 54 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • There could be job cuts if we lose some of our international contracts.
  • I understand the reasons but my focus is on stable employment.
  • Hard to see how we'll sustain without the overseas business.

Wellbeing Over Time (With vs Without Policy)

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

Business Consultant (Atlanta, GA)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • Unsure how the policy will change client dynamics.
  • There might be fewer opportunities overseas for me.
  • It's a balancing act, national security is crucial.

Wellbeing Over Time (With vs Without Policy)

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

Student in International Studies (Raleigh, NC)

Age: 26 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 1.5 years

Commonness: 12/20

Statement of Opinion:

  • As someone studying policy, the implications intrigue me.
  • Personally, my startup job may become unstable if partnerships change.
  • It's an opportunity to learn directly from real-world policy impacts.

Wellbeing Over Time (With vs Without Policy)

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

Oil and Gas Operations Manager (Houston, TX)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 4/20

Statement of Opinion:

  • We might face reductions in certain contracts but overall, our core operations remain unaffected.
  • It highlights the importance of diversifying business partnerships.
  • Supports national security enhancements.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $100000000 (Low: $50000000, High: $200000000)

Year 2: $95000000 (Low: $45000000, High: $190000000)

Year 3: $90000000 (Low: $40000000, High: $180000000)

Year 5: $80000000 (Low: $35000000, High: $150000000)

Year 10: $75000000 (Low: $30000000, High: $120000000)

Year 100: $70000000 (Low: $25000000, High: $100000000)

Key Considerations