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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 48.9.

AI disruption gauge

Replacement versus fragility quadrant

48.90 Score
157 day(s) Freshness
Replacement without breakage Regime
2026-03-06 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
Private fixed investment in intellectual property products Replacement Pressure Index 72.68 43.61
Information processing equipment momentum Replacement Pressure Index 70.46 42.28
Professional and business services job openings Replacement Pressure Index 61.56 36.94
Professional and business services hires Replacement Pressure Index 57.97 34.78
Continuing unemployment claims Replacement Pressure Index 57.24 34.34

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 2026-02-06 | Freshness 34d

AI Buildout is 'emerging' with a composite score of 47.8. The hottest components are Software and compute capex 61.6, Semiconductor supply tightness 40.1.

Credit Fragility

Indicator Study | Emerging | As of 2026-03-06 | Freshness 2d

Credit Fragility is 'emerging' with a composite score of 43.1. The hottest components are Consumer credit strain 60.3, Financing tightness 36.7.

Household Absorption

Indicator Study | Active | As of 2026-01-02 | Freshness 65d

Household Absorption is 'active' with a composite score of 62.6. The hottest components are Debt-service pressure 69.9, Income strain 61.8.

Productivity-Payroll Gap

Indicator Study | Active | As of 2025-10-03 | Freshness 157d

Productivity-Payroll Gap is 'active' with a composite score of 54.0. The hottest components are Productivity acceleration 59.2, Hours-output decoupling 53.4.

White-Collar Labor

Indicator Study | Active | As of 2026-03-06 | Freshness 7d

White-Collar Labor is 'active' with a composite score of 52.7. The hottest components are Hiring deterioration 58.2, Claims spillover 57.0.

Absorption Fragility Index

Composite Study | Emerging | As of 2026-03-06 | Freshness 65d

Absorption Fragility Index is 'emerging' with a score of 43.1. Child studies are contributing as follows: Household Absorption 62.6, Credit Fragility 43.1.

Replacement Pressure Index

Composite Study | Active | As of 2026-03-06 | Freshness 157d

Replacement Pressure Index is 'active' with a score of 52.7. Child studies are contributing as follows: AI Buildout 47.8, White-Collar Labor 52.7, Productivity-Payroll Gap 54.0.

AI Disruption Composite

Composite Study | Emerging | As of 2026-03-06 | Freshness 157d

AI disruption is 'emerging' on the dashboard this week. Replacement pressure scores 52.7, fragility scores 43.1, and the blended composite is 48.9.


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