The Atlas — A Research Program

How industries transform when intelligence becomes infrastructure

An open methodology for measuring the economic, occupational, and human-capital effects of AI-driven systemization — across 136 datasets and 2 million+ records.

136
datasets
2.0M
records
transformations modeled
occupation × industry rows
55.2pp
Anthropic blind-spot gap

What the Atlas measures

Two questions, asked rigorously: What changes when intelligence becomes infrastructure? And: What does the change miss when measured only through chatbot transcripts?

The Anthropic Economic Index measures one signal — chatbot conversation patterns. The Atlas adds the rest of the system: contract-gated execution, agent orchestration, automated workflows, capital flows, intervention timing. The contrast is the headline number: 55.2 percentage points of national economic activity that chatbot-usage telemetry cannot detect (Massenkoff & McCrory, March 2026, validated against DaedArch's per-NAICS transformation corpus).

The Anthropic Economic Index measures a behavior. The Atlas measures a system. The blind spot between them is where the next decade of value creation will accumulate.

Research surfaces

Methodology contrast

Anthropic Index vs Atlas reality

Per-SOC measurement of what chatbot telemetry sees vs what system-architecture observation sees.

Economic impact

The Butterfly Effect

How an investment of $X in industry Y at time T propagates through county-level employment, wage, and outcome data.

Human capital

Capital flows & intervention timing

Education → role → outcome: where does value accumulate, and when do interventions still bend the curve?

Industry transformation

23,797 transformation scenarios

Per-NAICS-code modeled before/after scenarios of intelligent-systemization shifts.

Case studies

Every role, every dollar, every hour

Real enterprise transformations — warehouse to CEO — at task granularity.

Executive functioning

Where the C-suite shifts

How AI-systemization redistributes executive time, attention, and decision authority.

Education hub

CIP → role → outcome

Curriculum decomposition, pay projections, and intervention timing across degree programs.

Methodology

Open data catalog

136 datasets, sources, license terms, and ingestion provenance — every claim auditable.

Why this matters

Most economic analyses of AI rely on what's measurable through publicly-observable behavior: chatbot conversation logs, job posting changes, productivity surveys. These are real signals. They are also the smallest part of the picture.

The Atlas adds the harder-to-measure but larger-magnitude effects: how contract-gated agent execution restructures workflow at the task level, how visual-scanning automation eliminates entire categories of friction, how capital concentration shifts when systemization compounds. Massenkoff & McCrory's March 2026 work establishes the methodological floor; DaedArch's per-NAICS corpus provides the empirical contrast.

Trellison hosts the research narrative. DaedArch operates the implementations: the search tools, the workbench, the live data dashboards.