Policy Impact Analysis - 117/HR/9039

Bill Overview

Title: No Chips for China Act

Description: This bill requires U.S. semiconductor manufacturers receiving Department of Commerce incentive funds to agree to not engage in any significant transaction involving the transport, export, or sale of any semiconductor sub-14 nanometer manufacturing processes with Chinese firms. The bill allows for an exception if Commerce grants an export license.

Sponsors: Rep. Budd, Ted [R-NC-13]

Target Audience

Population: People involved in the semiconductor industry, including manufacturers in the US and technology firms in China.

Estimated Size: 50000

Reasoning

Simulated Interviews

semiconductor engineer (San Jose, CA)

Age: 37 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy might push our company to refocus on domestic and other international markets besides China.
  • The policy could affect innovation and our competitive edge.

Wellbeing Over Time (With vs Without Policy)

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

supply chain manager (Austin, TX)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Short-term, there might be disruptions, but I think we can redirect supply chains.
  • Long-term, we might need to build new partnerships and markets.

Wellbeing Over Time (With vs Without Policy)

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

financial analyst (New York, NY)

Age: 60 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 1.0 years

Commonness: 5/20

Statement of Opinion:

  • This could lead to some initial volatility in the stock market for semiconductor companies.
  • Long-term there's potential for growth in other markets.

Wellbeing Over Time (With vs Without Policy)

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

semiconductor technician (Phoenix, AZ)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • I don't think this will impact my job too much at least in the short term.
  • If the company loses revenue, there might be workforce reductions.

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 8 8
Year 10 8 9
Year 20 9 9

semiconductor plant manager (Portland, OR)

Age: 50 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • We will have to navigate changes in our production schedules and customer orders.
  • There's potential for operational challenges.

Wellbeing Over Time (With vs Without Policy)

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

software developer (Chicago, IL)

Age: 34 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • While this change won't directly impact me, it might affect future projects.
  • This could trickle down to project funding and technology access.

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 9
Year 10 9 9
Year 20 10 10

semiconductor marketing associate (Boston, MA)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • I need to pivot our marketing strategies to focus less on Chinese firms.
  • There might be more emphasis on other regions.

Wellbeing Over Time (With vs Without Policy)

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

logistics coordinator (Dallas, TX)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • We might see less outbound activity, but it doesn't affect my current work.
  • Logistics might need optimizing in future.

Wellbeing Over Time (With vs Without Policy)

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

electric engineer (Seattle, WA)

Age: 32 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy might require some redesign plans for broader markets.
  • Overall, I feel secure in my role domestically.

Wellbeing Over Time (With vs Without Policy)

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

HR assistant (Salt Lake City, UT)

Age: 24 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 1.0 years

Commonness: 13/20

Statement of Opinion:

  • Our international hiring strategies might change, focusing more on domestic talent.
  • HR policies and retention could adapt but minimally affected.

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 9
Year 10 9 9
Year 20 10 10

Cost Estimates

Year 1: $20000000 (Low: $15000000, High: $25000000)

Year 2: $18000000 (Low: $13000000, High: $23000000)

Year 3: $17000000 (Low: $12000000, High: $22000000)

Year 5: $15000000 (Low: $10000000, High: $20000000)

Year 10: $10000000 (Low: $5000000, High: $15000000)

Year 100: $5000000 (Low: $3000000, High: $8000000)

Key Considerations