Homework for the Next 120 Days, Mr. President: Safeguarding Jobs and National Security in an AI-Driven Economy
The rapid rise of artificial intelligence (AI) and automation is reshaping the global economy at an unprecedented pace. While these advancements offer immense potential for innovation and growth, they also pose significant risks to job security, economic stability, and national security. As the world’s leading economy, the United States faces a critical juncture: how to harness the transformative power of AI while protecting the livelihoods of millions of Americans and maintaining our position as a global leader.
The challenge is clear: Without a well-detailed plan of action, we risk falling into economic and social instability, jeopardizing our national security, and losing our competitive edge. The next 120 days will be critical for the administration to set the foundation for an AI-driven economy that works for everyone.
The Challenges at Hand
1. Job Displacement Across Industries
• From manufacturing and logistics to healthcare and finance, AI and automation are disrupting traditional job markets. Experts predict that nearly 40% of jobs could be affected by automation within the next decade.
• The displacement is already visible in sectors like transportation, where autonomous vehicles threaten to replace millions of truck drivers, and customer service, where chatbots are replacing human representatives.
2. Economic Inequality
• The benefits of AI are disproportionately flowing to large corporations and highly skilled workers, widening the income gap. Without intervention, this could lead to greater economic disparity and social unrest.
3. Global Competition
• Countries like China and the European Union are investing heavily in AI development and regulation. To maintain its global leadership, the U.S. must act swiftly to balance innovation with ethical and economic safeguards.
4. National Security Risks
• AI technologies have the potential to strengthen national defense, but they also pose significant risks, such as cybersecurity threats and the misuse of AI in autonomous weapons systems.
• A lack of comprehensive regulation could allow adversaries to exploit vulnerabilities in AI systems, threatening national security.
The Path Forward: A 120-Day Blueprint to Success
To address these challenges, the administration must take decisive and immediate action. Here is a roadmap for the next 120 days:
1. Leverage the Existing Bipartisan Task Force on AI and Automation
Purpose: Build upon the foundation established by the Biden-Harris administration’s bipartisan Task Force on AI by expanding its scope and integrating additional voices from industry, academia, and labor organizations. The goal is to create a unified and actionable strategy for managing AI's impact on the workforce and economy.
Deliverables:
Comprehensive AI Workforce Impact Assessment: Update and enhance the existing assessment to reflect the latest developments in AI technology and their implications for job markets across key industries.
Policy Recommendations: Develop actionable recommendations for balancing AI-driven innovation with robust workforce preservation measures, leveraging insights and data gathered by the Task Force to inform policy decisions.
2. Draft the American AI Ethics and Workforce Protection Act
Key Provisions:
Mandatory Workforce Impact Audits: Require companies adopting AI to conduct detailed assessments of its impact on jobs and workforce stability.
Incentives for Reskilling and Upskilling: Provide financial incentives and tax benefits to businesses that invest in training programs for displaced workers.
Clear Ethical Guidelines: Establish comprehensive ethical standards for the development and deployment of AI technologies.
This act could be built upon the foundational framework established by the Artificial Intelligence Accountability Act of 2024, ensuring continuity while expanding its scope to prioritize workforce preservation and ethical AI implementation.
3. Invest in Workforce Development
Launch a nationwide AI Upskilling Initiative, providing free training in AI and automation technologies through partnerships with community colleges and online platforms.
Allocate federal funds to support workers transitioning from vulnerable industries into growing sectors like green energy, healthcare, and technology.
4. Create a National AI Governance Office
Role: Oversee AI implementation, enforce transparency standards, and ensure ethical use of AI in high-risk sectors like healthcare and defense.
Responsibility: Collaborate with the private sector to monitor and mitigate job displacement.
5. Hold a National AI Summit
Purpose: Convene policymakers, business leaders, and academics to announce the administration’s AI strategy and demonstrate global leadership in shaping the future of AI.
120-Day Detailed Business Plan: Regulation of AI and Automation to Preserve the American Workforce
Objective: Develop a regulatory framework that balances innovation in AI and automation with the preservation of jobs, economic stability, and national competitiveness.
Phase 1: Strategic Assessment (Days 1–30)
1. Establish a Presidential Task Force on AI Regulation
Members: Build upon the existing bipartisan Task Force on AI established under the Biden-Harris administration by including additional key stakeholders such as prominent AI industry leaders (including Elon Musk), labor unions, economists, and academics.
Key Deliverables:
AI Impact Assessment: Enhance and update the existing AI workforce impact analysis to reflect the latest advancements and trends in AI technologies across U.S. industries.
Global Regulation Review: Evaluate and integrate lessons from existing AI and automation regulations worldwide, such as the EU AI Act, to identify best practices adaptable to the U.S. context.
Comprehensive Initial Report: Publish a detailed report outlining the risks, opportunities, and actionable recommendations for balancing AI innovation with workforce preservation, leveraging insights from prior groundwork.
2. Launch Nationwide Listening Tours
Led by: Department of Labor, in collaboration with the Department of Commerce.
Purpose: Gather input from:
Workers in AI-impacted industries (manufacturing, transportation, tech, healthcare, etc.).
Business leaders and small business owners.
Academic institutions specializing in AI ethics and workforce studies.
Output: A comprehensive summary of the needs, concerns, and aspirations of workers and businesses.
3. Create Public-Private Partnerships
Participants: Corporations (e.g., Tesla, OpenAI), tech startups, and state governments.
Goal: Co-invest in upskilling and reskilling programs.
Initiative: Launch a pilot program offering free AI and automation certifications to displaced workers in partnership with companies like Microsoft and Coursera.
Phase 2: Drafting Legislation (Days 31–60)
1. Draft the AI Workforce Protection Act
Key Provisions:
Risk-Based Framework: Build on the principles outlined in the Artificial Intelligence Accountability Act of 2024 by classifying AI applications into risk categories (low, medium, high). High-risk applications, such as autonomous weapons or AI-driven hiring systems, will require heightened regulatory oversight.
Job Impact Audits: Mandate that companies deploying automation conduct comprehensive workforce impact assessments and implement mitigation plans to address potential job displacement, leveraging existing audit frameworks from prior legislation.
AI Licensing System: Require businesses using AI for high-risk applications to obtain federal licenses, ensuring strict compliance with ethical and safety standards.
Workforce Preservation Fund: Expand on the existing policy foundation by introducing tax incentives for companies that invest in reskilling displaced employees or prioritize human workers over automation. This fund will align with broader workforce preservation initiatives already underway.
2. Promote Ethical AI Standards
Develop Guidelines: In collaboration with the National Institute of Standards and Technology (NIST), establish ethical principles for AI development.
Mandate Transparency: Companies must disclose AI decision-making processes in consumer-facing applications.
3. Introduce Tax Reforms
AI Automation Tax: Impose a tax on companies replacing human workers with automation, reallocating the revenue to fund upskilling initiatives and unemployment benefits.
R&D Incentives: Offer tax credits to businesses developing ethical and workforce-friendly AI technologies.
Phase 3: Initial Implementation (Days 61–90)
1. Roll Out Pilot Programs
Upskilling and Reskilling:
Targeted sectors: Transportation (truck drivers), manufacturing (assembly line workers), and tech support.
Launch “AI for All” workshops in community colleges and technical institutions.
Universal AI Literacy Program:
Develop free AI and automation education resources for K–12 and higher education.
2. Launch the Federal AI Governance Office
Function: Centralized body to oversee AI implementation and enforce new regulations.
Team: Regulatory experts, economists, technologists, and data scientists.
Key Deliverables:
Monthly AI workforce impact reports.
Enforcement of job impact audits.
3. Hold a National AI Summit
Hosted by: President Donald Trump and Elon Musk.
Attendees: Business leaders, labor advocates, and international partners.
Purpose: Announce the initial draft of the AI Workforce Protection Act and seek feedback.
Phase 4: Regulatory Launch and Monitoring (Days 91–120)
1. Secure Congressional Approval
Strategy:
Engage bipartisan support through lobbying and public campaigns.
Host town hall meetings to explain the benefits of the legislation to constituents.
Timeline: Push for passage of the AI Workforce Protection Act within 120 days.
2. Pilot Federal Grants for Affected States
Eligibility: States most impacted by AI job displacement (e.g., Michigan, Ohio, Pennsylvania).
Purpose: Fund local upskilling programs, AI education initiatives, and small business automation adoption support.
3. Monitor Compliance
Task Force Duties:
Enforce licensing requirements.
Audit businesses for compliance with transparency and workforce preservation measures.
Fine non-compliant organizations.
Key Metrics for Success
1. Workforce Impact Mitigation:
Reduction in job displacement rates in key sectors by 15% within the first year.
2. Upskilling Progress:
1 million workers enrolled in AI-related reskilling programs by year-end.
3. Public Confidence:
Increase in public trust in AI and automation technologies, measured through surveys.
The Benefits of a Proactive Approach
Implementing a well-detailed plan now will yield substantial benefits in the years to come:
1. Job Security for Millions
By investing in workforce development and enforcing responsible AI adoption, we can minimize job displacement and create opportunities in emerging fields.
2. Economic and Social Stability
A stable and prosperous workforce will reduce economic inequality and prevent the social unrest that often accompanies rapid technological change.
3. Maintaining Global Leadership
By leading the way in AI regulation and innovation, the U.S. can ensure its dominance on the global economic stage while setting the gold standard for ethical AI use.
4. National Security Strength
Strong AI governance will mitigate risks associated with cybersecurity, misinformation, and autonomous weapons, safeguarding the country’s security interests.
Conclusion
This plan leverages Donald Trump’s executive leadership and Elon Musk’s expertise to address the challenges posed by AI and automation. By emphasizing a balanced approach to innovation and workforce preservation, this initiative ensures the U.S. remains a global leader in technology while protecting American jobs and families.
The Time to Act Is Now
The next 120 days will determine whether the United States rises to the challenges of an AI-driven economy or risks falling behind. By prioritizing workforce preservation, economic stability, and ethical AI governance, the administration can lay the groundwork for a future that benefits all Americans while maintaining our position as the world’s leading economy.
Mr. President, the homework is clear. The American people are counting on your leadership to navigate this transformative moment in history. Let’s take bold action to ensure that AI serves as a tool for prosperity, not a catalyst for division. The future of our workforce—and our nation—depends on it.
Note: The above business plan was provided by ChatGPT in less than 10 seconds by typing the following prompt: “Create a 120-day business plan on how Donald Trump and Elon Musk can tackle the regulation of artificial intelligence and automation to preserve the American workforce starting January 20th 2025. Be as detailed as possible.
ChatGPT public link: https://chatgpt.com/share/6786c067-529c-8005-9ec2-c39b2055f237
Bipartisan House Task Force Report on Artificial Intelligence - December 2024
Kevin to ChatGPT: Compare the attached to the 120-day roadmap to success in this chat and provide what’s lacking in the report from the bipartisan task force report that the roadmap includes.
ChatGPT: The 120-Day Roadmap to Success from this chat includes some actionable and targeted steps that are either not covered or not fully addressed in the Bipartisan Task Force Report on AI. Here are the key gaps and missing elements:
1. Immediate Action Steps:
The roadmap provides a specific timeline (phases broken into 30-day increments) for implementing actionable steps, such as workforce development, legislation drafting, and regulatory oversight. The bipartisan report lacks such a detailed and phased implementation strategy.
2. Workforce Impact Focus:
While the report emphasizes AI education and training, it does not provide specific frameworks such as mandatory workforce impact audits or plans to address job displacement systematically. The roadmap introduces targeted measures like job displacement mitigation plans and tax incentives for companies prioritizing human workers.
3. AI Licensing System:
The roadmap introduces an AI Licensing System for high-risk applications, ensuring rigorous oversight. This mechanism is not explicitly mentioned in the bipartisan report, leaving a gap in addressing high-risk AI use cases.
4. Workforce Preservation Fund:
The roadmap's creation of a Workforce Preservation Fund, which incentivizes companies to reskill and prioritize human workers, is absent in the report. While the bipartisan task force addresses workforce development broadly, it lacks actionable funding mechanisms tied to preserving jobs.
5. Pilot Programs and Regional Testing:
The roadmap emphasizes launching pilot upskilling programs and regional workforce initiatives within the first 90 days. The bipartisan report discusses broad AI adoption but does not propose pilot testing as a near-term priority.
6. Risk-Based AI Governance Framework:
The roadmap proposes a risk-based classification system (low, medium, high) for AI applications, with stringent rules for high-risk applications like autonomous weapons and hiring systems. The bipartisan report does not provide a similarly detailed risk classification framework for AI governance.
7. Transparency and Public Engagement:
The roadmap includes nationwide listening tours to engage with communities, businesses, and workers affected by AI adoption. This level of public consultation is not emphasized in the bipartisan report.
8. Economic Safeguards:
The roadmap identifies specific economic tools like automation taxes to mitigate the risks of job losses and provide funding for workforce development. These tools are not part of the bipartisan report's recommendations.
9. Integration with Existing Legislation:
The roadmap builds on the Artificial Intelligence Accountability Act of 2024, enhancing its provisions with actionable steps. While the bipartisan report references prior legislation, it does not provide detailed proposals for building upon these existing frameworks.
10. National AI Summit:
The roadmap proposes holding a National AI Summit to convene stakeholders and solidify support for a unified AI strategy. This initiative is not included in the bipartisan report.
By addressing these gaps, the 120-Day Roadmap to Success offers a more structured and actionable approach to tackling AI's workforce and economic implications, ensuring that the United States remains both innovative and equitable in its AI adoption.
