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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.

AI-sensitive pressure is emerging, but it is not yet broad enough to call a destabilizing macro break. The composite is 38.5.

AI disruption gauge

Replacement versus fragility quadrant

38.51 Score
174 day(s) Freshness
Quiet buildout Regime
2026-09-18 As Of

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.

AI disruption score tree

Top Drivers

Driver Source Study Score Composite Impact
Business-sector labor-share proxy Replacement Pressure Index 100.00 60.00
Private fixed investment in intellectual property products Replacement Pressure Index 68.29 40.97
Semiconductor industrial production Replacement Pressure Index 65.25 39.15
Professional and business services hires Replacement Pressure Index 60.01 36.01
Professional and business services job openings Replacement Pressure Index 54.88 32.93

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.

AI disruption study state matrix

Study Index

AI Buildout

Indicator Study | Emerging | As of 2026-08-07 | Freshness 52d

AI Buildout is 'emerging' with a composite score of 45.6. The hottest components are Software and compute capex 49.6, Semiconductor supply tightness 48.0.

Credit Fragility

Indicator Study | Contained | As of 2026-09-18 | Freshness 4d

Credit Fragility is 'contained' with a composite score of 29.2. The hottest components are Market stress 31.9, Financing tightness 30.2.

Household Absorption

Indicator Study | Active | As of 2026-08-07 | Freshness 52d

Household Absorption is 'active' with a composite score of 59.1. The hottest components are Debt-service pressure 64.1, Income strain 62.3.

Productivity-Payroll Gap

Indicator Study | Active | As of 2026-04-03 | Freshness 174d

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 2026-09-18 | Freshness 10d

White-Collar Labor is 'emerging' with a composite score of 44.7. The hottest components are Hiring deterioration 51.8, Claims spillover 48.6.

Absorption Fragility Index

Composite Study | Contained | As of 2026-09-18 | Freshness 52d

Absorption Fragility Index is 'contained' with a score of 29.2. Child studies are contributing as follows: Household Absorption 59.1, Credit Fragility 29.2.

Replacement Pressure Index

Composite Study | Emerging | As of 2026-09-18 | Freshness 174d

Replacement Pressure Index is 'emerging' with a score of 44.7. Child studies are contributing as follows: AI Buildout 45.6, White-Collar Labor 44.7, Productivity-Payroll Gap 60.1.

AI Disruption Composite

Composite Study | Emerging | As of 2026-09-18 | Freshness 174d

AI disruption is 'emerging' on the dashboard this week. Replacement pressure scores 44.7, fragility scores 29.2, and the blended composite is 38.5.


Coverage: United States only. Mixed-frequency FRED data is aligned to a weekly Friday panel and freshness is shown explicitly.