The National Iceberg Index measures the current economic impact of AI automation through MCP-enabled systems across the United States. The current national index of 2.36% represents $290.0 billion in economic value at risk of automation, affecting approximately 2.4 million workers nationwide.
Click on a state to view its detailed dashboard
Difference between potential and current automation risk
Percentage of national workforce by risk category
Top 10 states by Iceberg Index
| Rank | State | Iceberg Index | Economic Value at Risk | Workers at Risk | Potential Risk | Automation Gap |
|---|---|---|---|---|---|---|
| 1 | Washington | 5.8% | $15.6B | 100K | 18.6% | 12.8 |
| 2 | Virginia | 4.9% | $13.2B | 96K | 18.7% | 13.7 |
| 3 | North Carolina | 4.5% | $12.8B | 116K | 14.9% | 10.3 |
| 4 | Colorado | 4.2% | $8.5B | 69K | 17.0% | 12.8 |
| 5 | California | 4.2% | $57.3B | 337K | 16.1% | 12.0 |
| 6 | Delaware | 4.0% | $1.2B | 10K | 13.7% | 9.7 |
| 7 | Kansas | 3.4% | $2.7B | 29K | 11.9% | 8.4 |
| 8 | Arizona | 3.4% | $6.6B | 62K | 12.9% | 9.5 |
| 9 | Massachusetts | 3.4% | $9.5B | 66K | 15.8% | 12.4 |
| 10 | Utah | 3.4% | $3.4B | 29K | 14.9% | 11.5 |
Current vs. potential automation risk by major industry sectors
National trends and implications
The highest automation risk is concentrated in Washington, Virginia, North Carolina. These states show Iceberg Indices of 5.8%, 4.9%, and 4.5% respectively.
Computer and Information Analyst, Mathematical Science Occupations, Engineers occupations consistently show the highest automation risk across all states, with potential indices exceeding 67.7%, 54.2%, and 50.4% respectively.
The current Iceberg Index of 2.95% is projected to double to 5.90% within the next 18-24 months as MCP server adoption accelerates. The significant gap between potential and current automation risk (10.2% nationally) indicates substantial room for growth.