AI Disruption
This section asks a narrower question: is AI showing up in the U.S. macro data yet?
It does not measure AI adoption directly. Instead, it follows a clear set of FRED-based proxy indicators: AI-related capital buildout, weakening in white-collar labor markets, productivity gains that are not translating into payroll growth, household capacity to absorb strain, and signs of credit-market stress.
The purpose is to track when these indicators begin to move together in a way that matters economically. The issue is not just whether AI investment is rising, but whether it is coinciding with labor-market displacement and broader macro pressure that could affect growth, consumer spending, and financial conditions.
Score Tree
This view shows how the headline AI disruption score breaks into the two parent composites and then into the five underlying study buckets.
Top Drivers
| Driver | Source Study | Score | Composite Impact |
|---|---|---|---|
| Business-sector labor-share proxy | Replacement Pressure Index | 100.00 | 60.00 |
| Semiconductor industrial production | Replacement Pressure Index | 69.01 | 41.40 |
| Private fixed investment in intellectual property products | Replacement Pressure Index | 68.29 | 40.97 |
| Professional and business services hires | Replacement Pressure Index | 60.21 | 36.12 |
| Professional and business services job openings | Replacement Pressure Index | 55.11 | 33.07 |
This dashboard is an AI-sensitive proxy monitor. It tracks whether AI-enabling buildout, labor softness, household strain, and credit fragility are lining up in a macro-relevant way.
Study State Matrix
This denser panel keeps every AI study on one 0-100 scale and shows the internal component mix driving each score.
Study Index
AI Buildout
Indicator Study | Emerging | As of 2026-08-07 | Freshness 38d
AI Buildout is 'emerging' with a composite score of 46.8. The hottest components are Semiconductor supply tightness 51.8, Software and compute capex 49.6.
Credit Fragility
Indicator Study | Contained | As of 2026-09-04 | Freshness 5d
Credit Fragility is 'contained' with a composite score of 30.6. The hottest components are Market stress 34.0, Financing tightness 32.3.
Household Absorption
Indicator Study | Active | As of 2026-07-03 | Freshness 69d
Household Absorption is 'active' with a composite score of 59.8. The hottest components are Debt-service pressure 64.4, Income strain 61.9.
Productivity-Payroll Gap
Indicator Study | Active | As of 2026-04-03 | Freshness 160d
Productivity-Payroll Gap is 'active' with a composite score of 60.1. The hottest components are Labor-share squeeze 67.3, Productivity acceleration 57.8.
White-Collar Labor
Indicator Study | Emerging | As of 2026-09-04 | Freshness 10d
White-Collar Labor is 'emerging' with a composite score of 45.5. The hottest components are Hiring deterioration 52.1, Claims spillover 50.4.
Absorption Fragility Index
Composite Study | Contained | As of 2026-09-04 | Freshness 69d
Absorption Fragility Index is 'contained' with a score of 30.6. Child studies are contributing as follows: Household Absorption 59.8, Credit Fragility 30.6.
Replacement Pressure Index
Composite Study | Emerging | As of 2026-09-04 | Freshness 160d
Replacement Pressure Index is 'emerging' with a score of 45.5. Child studies are contributing as follows: AI Buildout 46.8, White-Collar Labor 45.5, Productivity-Payroll Gap 60.1.
AI Disruption Composite
Composite Study | Emerging | As of 2026-09-04 | Freshness 160d
AI disruption is 'emerging' on the dashboard this week. Replacement pressure scores 45.5, fragility scores 30.6, and the blended composite is 39.5.
Coverage: United States only. Mixed-frequency FRED data is aligned to a weekly Friday panel and freshness is shown explicitly.