Bill Overview
Title: AI Training Act
Description: This bill requires the Office of Management and Budget (OMB) to establish or otherwise provide an artificial intelligence (AI) training program for the acquisition workforce of executive agencies (e.g., those responsible for program management or logistics), with exceptions. The purpose of the program is to ensure that the workforce has knowledge of the capabilities and risks associated with AI. The OMB must (1) update the program at least every two years, and (2) ensure there is a way to understand and measure the participation of the workforce and to receive and consider feedback from program participants.
Sponsors: Sen. Peters, Gary C. [D-MI]
Target Audience
Population: Federal acquisition workforce individuals impacted by AI Training Act
Estimated Size: 150000
- The bill targets the acquisition workforce of executive agencies in the U.S., which includes individuals involved in program management and logistics.
- The acquisition workforce consists of federal employees and may include contractors who procure goods, services, or information technology for government agencies.
- The training program is mandated at the federal level, affecting various departments and agencies within the executive branch of the U.S. government.
- The bill aims to increase the knowledge and skills related to AI among these workers, which is crucial as AI technologies become more integral to procurement and program management.
Reasoning
- The policy is designed to provide AI training to the federal acquisition workforce, which includes about 150,000 individuals, as estimated for the U.S. target group.
- Since the policy focuses on education and training, its impact on Cantril wellbeing scores will likely result from increased job satisfaction, improved skills, and potential job security enhancements.
- Given the budget constraints, the training must be efficient and targeted to maximize the benefits without exceeding the financial resources allocated.
- The training benefits might be more prominent among those directly involved with AI-related procurement and project management, while less significant for those whose roles are only tangentially related to such technologies.
- While some may be unaffected (e.g., those who do not perceive a direct impact on their jobs or skills), others are likely to see a moderate to high impact depending on their role in acquisition and contracting for AI technologies.
Simulated Interviews
Program Manager (Washington, D.C.)
Age: 45 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- This training is crucial as AI becomes more embedded in our procurement processes. Understanding AI can significantly improve efficiency.
- The program will enhance our team's competence in selecting and managing AI solutions for government projects.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 8 | 6 |
| Year 5 | 9 | 6 |
| Year 10 | 9 | 5 |
| Year 20 | 8 | 4 |
Logistics Coordinator (San Francisco, CA)
Age: 38 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 7/20
Statement of Opinion:
- The AI training could be beneficial, but I'm not sure how much it will affect the logistics side directly.
- It's good to be prepared for AI-related changes in supply chains, though.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 5 |
| Year 3 | 7 | 5 |
| Year 5 | 7 | 5 |
| Year 10 | 6 | 4 |
| Year 20 | 5 | 3 |
Procurement Officer (Dallas, TX)
Age: 50 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 4/20
Statement of Opinion:
- I believe the program can significantly assist in making informed procurement decisions, especially with evolving AI tech.
- It can streamline the procurement processes with AI integration, hopefully leading to more significant outcomes in our acquisitions.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 8 | 6 |
| Year 3 | 8 | 5 |
| Year 5 | 9 | 5 |
| Year 10 | 9 | 5 |
| Year 20 | 8 | 4 |
IT Specialist (Charlotte, NC)
Age: 30 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 2.0 years
Commonness: 6/20
Statement of Opinion:
- I don't deal directly with AI acquisitions, so while the training sounds useful, I doubt it will have a big impact on my role.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 6 |
| Year 5 | 6 | 6 |
| Year 10 | 6 | 5 |
| Year 20 | 5 | 4 |
Acquisition Analyst (New York, NY)
Age: 55 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 10.0 years
Commonness: 7/20
Statement of Opinion:
- The AI training program is a good initiative. I'm eager to see how it applies to analyzing procurement trends and data.
- Better AI understanding could positively reshape how we project and plan our acquisitions.
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 | 8 | 4 |
| Year 20 | 7 | 3 |
Junior Buyer (Seattle, WA)
Age: 29 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 6/20
Statement of Opinion:
- AI training could offer new opportunities in my career, though my current role is somewhat limited in AI exposure.
- I'm optimistic that participating in the training will give me a competitive edge for future positions.
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 | 8 | 5 |
| Year 20 | 8 | 4 |
Contracting Officer (Chicago, IL)
Age: 42 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 10.0 years
Commonness: 7/20
Statement of Opinion:
- AI training is crucial as it can improve how we negotiate and manage contracts involving tech companies.
- Understanding AI can prevent costly procurement mistakes.
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 | 4 |
| Year 20 | 8 | 3 |
Senior Procurement Specialist (Denver, CO)
Age: 48 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- The AI training could drastically improve how we source and oversee tech projects.
- Helping understand AI trends can lead to better procurement decisions.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 8 | 6 |
| Year 3 | 9 | 5 |
| Year 5 | 9 | 5 |
| Year 10 | 9 | 5 |
| Year 20 | 8 | 4 |
Operations Manager (Atlanta, GA)
Age: 35 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 8/20
Statement of Opinion:
- While the training is intriguing, my role doesn't focus much on AI. However, it could be useful in the long run.
- Understanding AI trends might help overall operations in the future.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 6 | 5 |
| Year 20 | 6 | 5 |
Federal Acquisition Consultant (Boston, MA)
Age: 59 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 3/20
Statement of Opinion:
- The policy could enhance my consulting practice by aligning with current trends in AI.
- While I won't benefit directly from the training, I think it's necessary for my former colleagues.
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 | 5 |
Cost Estimates
Year 1: $150000000 (Low: $120000000, High: $180000000)
Year 2: $100000000 (Low: $80000000, High: $120000000)
Year 3: $150000000 (Low: $120000000, High: $180000000)
Year 5: $150000000 (Low: $120000000, High: $180000000)
Year 10: $150000000 (Low: $120000000, High: $180000000)
Year 100: $150000000 (Low: $120000000, High: $180000000)
Key Considerations
- The size and scope of the training program will significantly influence costs due to a large workforce population.
- Consistent updates and participant feedback mechanisms are required, leading to ongoing administrative costs.
- The effectiveness of the training in reducing risks and enhancing AI capabilities in the workforce is crucial but challenging to measure.