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 45.3.

45.33 Score

212 day(s) Freshness

Replacement without breakage Regime

2026-05-01 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	89.33	53.60
Private fixed investment in intellectual property products	Replacement Pressure Index	72.28	43.37
Professional and business services hires	Replacement Pressure Index	66.34	39.80
Continuing unemployment claims	Replacement Pressure Index	54.30	32.58
Temporary-help employment	Replacement Pressure Index	51.43	30.86

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 2026-03-06 | Freshness 61d

AI Buildout is 'emerging' with a composite score of 49.1. The hottest components are Software and compute capex 70.9, Power buildout 36.1.

Credit Fragility

Indicator Study | Emerging | As of 2026-05-01 | Freshness 2d

Credit Fragility is 'emerging' with a composite score of 37.2. The hottest components are Financing tightness 41.0, Consumer credit strain 36.3.

Household Absorption

Indicator Study | Active | As of 2026-03-06 | Freshness 61d

Household Absorption is 'active' with a composite score of 64.3. The hottest components are Debt-service pressure 71.1, Income strain 64.6.

Productivity-Payroll Gap

Indicator Study | Active | As of 2025-10-03 | Freshness 212d

Productivity-Payroll Gap is 'active' with a composite score of 52.9. The hottest components are Productivity acceleration 57.0, Hours-output decoupling 52.3.

White-Collar Labor

Indicator Study | Active | As of 2026-05-01 | Freshness 6d

White-Collar Labor is 'active' with a composite score of 50.8. The hottest components are Hiring deterioration 55.8, Claims spillover 50.9.

Absorption Fragility Index

Composite Study | Emerging | As of 2026-05-01 | Freshness 61d

Absorption Fragility Index is 'emerging' with a score of 37.2. Child studies are contributing as follows: Household Absorption 64.3, Credit Fragility 37.2.

Replacement Pressure Index

Composite Study | Active | As of 2026-05-01 | Freshness 212d

Replacement Pressure Index is 'active' with a score of 50.8. Child studies are contributing as follows: AI Buildout 49.1, White-Collar Labor 50.8, Productivity-Payroll Gap 52.9.

AI Disruption Composite

Composite Study | Emerging | As of 2026-05-01 | Freshness 212d

AI disruption is 'emerging' on the dashboard this week. Replacement pressure scores 50.8, fragility scores 37.2, and the blended composite is 45.3.

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