Human Impact
How automation, AI, robotics, and operational changes affect work, responsibility, and livelihood.
→ Grid Burden · → Public Cost · → Market Pressure · → Disclosure Gap
Tier 1 · Primary record·501 disclosures backfilled·2023-06-27 → 2026-06-12·SEC EDGAR, verbatim & deduped
as of Jun 17, 2026·SEC EDGAR full-text search
Sector employment indicators · BLS · NAICS 518 Information Sector
- NHTSA Standing General Order AV/ADAS crash reports — DISCLOSURE_INFRASTRUCTURE: no Socrata API. Data available as CSV/JSON downloads at nhtsa.gov/laws-regulations/standing-general-order-crash-reporting. Third amendment effective June 16, 2025. Wire requires download-and-parse pipeline.
- State WARN mass-layoff notices — DISCLOSURE_INFRASTRUCTURE: STRUCTURAL_INACCESSIBILITY. No unified national feed exists; per-state sources are HTML/PDF-only with no sanctioned structured API. Not a BEI gap — a public records infrastructure gap.
- O*NET task-level AI exposure (keyed Web Services / bulk DB — reference layer)
Corporate workforce / AI disclosures · SEC EDGAR
Research context - worker sentiment
52% of U.S. workers are worried about AI's future impact on work; 32% expect fewer job opportunities for themselves; 16% say at least some of their work is currently done with AI (February 2025). By October 2025, the share using AI at work rose to 21%.
By 2030: 170 million new roles projected globally, 92 million existing roles displaced — a net gain of 78 million jobs. 39% of existing skill sets are projected to become outdated between 2025 and 2030. 40% of employers expect to reduce headcount where AI can automate tasks; 85% plan to prioritise upskilling.
Automation Balance
Phase A · PendingIs AI replacing, augmenting, intensifying, or shifting responsibility onto workers without power? Automation Balance classifies operator disclosures and labor indicators into four categories — Replacement, Augmentation, Intensification, and Oversight-shift — to surface how AI is actually changing the nature of work, not just the count of jobs.
ECI sub-layer: Human Impact · EASTON-LMC-2026-06-17-ECI-DOCTRINE, APEX RATIFIED 2026-06-17. Phase A — doctrine registered. No data wiring in current phase. Early Consequence Intelligence →
How the industry can do betterBEI · Better Standard
Advance workforce notification when AI or automation systems are projected to displace roles — not retroactive disclosure in an annual filing. Transition support requirements as part of any automation deployment affecting public-company workforces at scale. Sector-level impact disclosure to workers and communities before market commitments lock.
Disclosures via SEC EDGAR full-text search; news via GDELT; baseline via the BLS JOLTS API. Aggregator, not author — we surface each company’s own claim alongside the public record and never adjudicate whether AI caused a given layoff. Autonomous-vehicle crash reports (NHTSA SGO), state WARN layoff notices, and O*NET task-exposure are tracked as pending until sanctioned feeds are wired. No bot-wall evasion.
Method & right of reply: we surface a company’s OWN public claim (its filing or announcement) alongside the public labor record (BLS JOLTS baseline, SEC filings) — each verbatim and linked. We do NOT adjudicate whether AI truly caused a given layoff, and we do NOT score any named company as dishonest (aggregator, not author — no opinions). The claim taxonomy below is a reading framework, not a verdict applied to anyone. Any named entity may contest an entry via research@brinley.institute.