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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-linked disruption still looks contained in this proxy dashboard. The top-line composite is 29.3 and broad fragility is still muted.

AI disruption gauge

Replacement versus fragility quadrant

29.31 Score
154 day(s) Freshness
Quiet buildout Regime
2026-09-04 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 68.89 41.33
Semiconductor industrial production Replacement Pressure Index 63.95 38.37
Professional and business services hires Replacement Pressure Index 63.31 37.98
Initial unemployment claims Replacement Pressure Index 51.01 30.60

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 2026-07-03 | Freshness 63d

AI Buildout is 'emerging' with a composite score of 46.5. The hottest components are Software and compute capex 49.7, Semiconductor supply tightness 49.0.

Credit Fragility

Indicator Study | Contained | As of 2026-09-04 | Freshness 2d

Credit Fragility is 'contained' with a composite score of 29.3. The hottest components are Market stress 32.6, Financing tightness 30.0.

Household Absorption

Indicator Study | Active | As of 2026-07-03 | Freshness 63d

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 154d

Productivity-Payroll Gap is 'active' with a composite score of 60.2. The hottest components are Labor-share squeeze 67.4, Productivity acceleration 57.8.

White-Collar Labor

Indicator Study | Emerging | As of 2026-08-28 | Freshness 11d

White-Collar Labor is 'emerging' with a composite score of 46.8. The hottest components are Hiring deterioration 50.9, Claims spillover 50.8.

Absorption Fragility Index

Composite Study | Contained | As of 2026-09-04 | Freshness 63d

Absorption Fragility Index is 'contained' with a score of 29.3. Child studies are contributing as follows: Household Absorption 59.8, Credit Fragility 29.3.

Replacement Pressure Index

Composite Study | Emerging | As of 2026-08-28 | Freshness 154d

Replacement Pressure Index is 'emerging' with a score of 46.8. Child studies are contributing as follows: AI Buildout 46.5, White-Collar Labor 46.8, Productivity-Payroll Gap 60.2.

AI Disruption Composite

Composite Study | Contained | As of 2026-09-04 | Freshness 154d

AI disruption is 'contained' on the dashboard this week. Replacement pressure scores 46.8, fragility scores 29.3, and the blended composite is 29.3.


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