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.

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41.44 Score

183 day(s) Freshness

Quiet buildout Regime

2026-07-03 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.

Top Drivers

Driver	Source Study	Score	Composite Impact
Information processing equipment momentum	Replacement Pressure Index	83.96	50.37
Business-sector labor-share proxy	Replacement Pressure Index	80.33	48.20
Semiconductor industrial production	Replacement Pressure Index	75.47	45.28
Private fixed investment in intellectual property products	Replacement Pressure Index	73.74	44.24
Professional and business services hires	Replacement Pressure Index	56.62	33.97

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 | Active | As of 2026-06-05 | Freshness 32d

AI Buildout is 'active' with a composite score of 52.2. The hottest components are Software and compute capex 63.9, Semiconductor supply tightness 54.1.

Credit Fragility

Indicator Study | Contained | As of 2026-07-03 | Freshness 2d

Credit Fragility is 'contained' with a composite score of 34.6. The hottest components are Financing tightness 43.4, Market stress 31.6.

Household Absorption

Indicator Study | Active | As of 2026-05-01 | Freshness 63d

Household Absorption is 'active' with a composite score of 60.8. The hottest components are Income strain 65.9, Debt-service pressure 64.9.

Productivity-Payroll Gap

Indicator Study | Active | As of 2026-01-02 | Freshness 183d

Productivity-Payroll Gap is 'active' with a composite score of 55.3. The hottest components are Productivity acceleration 61.2, Labor-share squeeze 52.6.

White-Collar Labor

Indicator Study | Emerging | As of 2026-07-03 | Freshness 6d

White-Collar Labor is 'emerging' with a composite score of 46.0. The hottest components are Claims spillover 53.5, Hiring deterioration 47.3.

Absorption Fragility Index

Composite Study | Contained | As of 2026-07-03 | Freshness 63d

Absorption Fragility Index is 'contained' with a score of 34.6. Child studies are contributing as follows: Household Absorption 60.8, Credit Fragility 34.6.

Replacement Pressure Index

Composite Study | Emerging | As of 2026-07-03 | Freshness 183d

Replacement Pressure Index is 'emerging' with a score of 46.0. Child studies are contributing as follows: AI Buildout 52.2, White-Collar Labor 46.0, Productivity-Payroll Gap 55.3.

AI Disruption Composite

Composite Study | Emerging | As of 2026-07-03 | Freshness 183d

AI disruption is 'emerging' on the dashboard this week. Replacement pressure scores 46.0, fragility scores 34.6, and the blended composite is 41.4.

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