March 3, 2026
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USA 2028 AI
The Vanderbilt Terminal for Artificial Intelligence Policy & Prediction
INDEPENDENT AI INTELLIGENCE FOR AMERICAN TECHNOLOGY FUTURES
Global AI Market: $842B ▲ 34.2% | US AI Investment: $312B ▲ 28.7% | AI Patents Filed: 187,400 ▲ 41.3% | NVIDIA Market Cap: $4.2T ▲ 12.8% | AI Regulatory Acts: 47 ▲ 18.5% | AGI Prediction Index: 72.4 ▲ 8.1% | US Compute Capacity: 2.8EF ▲ 56.4% | AI Job Displacement: 14.2M ▲ 22.6% | AI Safety Funding: $18.7B ▲ 67.3% | Election AI Budget: $2.4B ▲ 340% | Global AI Market: $842B ▲ 34.2% | US AI Investment: $312B ▲ 28.7% | AI Patents Filed: 187,400 ▲ 41.3% | NVIDIA Market Cap: $4.2T ▲ 12.8% | AI Regulatory Acts: 47 ▲ 18.5% | AGI Prediction Index: 72.4 ▲ 8.1% | US Compute Capacity: 2.8EF ▲ 56.4% | AI Job Displacement: 14.2M ▲ 22.6% | AI Safety Funding: $18.7B ▲ 67.3% | Election AI Budget: $2.4B ▲ 340% |

Methodology

Our analytical methodology for AI policy intelligence, probability modeling, and technology forecasting.

Analytical Methodology

USA 2028 AI employs a multi-layered analytical framework combining quantitative modeling, regulatory tracking, and qualitative policy analysis to deliver intelligence on artificial intelligence development and governance.

Data Sources

Our primary data sources include federal and state legislative databases, patent filing records from the USPTO, corporate SEC filings and earnings disclosures, academic preprint servers (arXiv, SSRN), government agency publications (NIST, NSF, DOE, DOD), international regulatory bodies (EU AI Office, UK AI Safety Institute), and proprietary industry intelligence. All data is verified against multiple sources before inclusion in our analysis.

Regulatory Tracking

We maintain a comprehensive database of AI-related legislation, executive orders, agency guidance, and regulatory proposals across all 50 states and at the federal level. Each regulatory action is coded for scope, enforcement mechanism, compliance timeline, and industry impact. This database is updated continuously and forms the foundation of our regulation analysis.

Probability Modeling

Our AGI timeline and technology milestone predictions employ ensemble modeling combining expert survey aggregation, compute scaling trend analysis, benchmark progression tracking, and historical analogy calibration. Probability estimates are updated quarterly and express confidence intervals rather than point predictions.

Editorial Standards

All analysis undergoes internal review before publication. We distinguish clearly between factual reporting, analytical interpretation, and forward-looking prediction. Corrections are issued promptly when errors are identified, and all significant corrections are noted in the relevant article.