Research Reports
Generate, review, and export decision artifacts from KAR's research.
Executive brief
1-page board-ready summary of an occupation cluster with AI exposure context.
Occupation comparison memo
Side-by-side compare of up to 5 occupations across pay, growth, exposure, education.
Board-ready labor market summary
Quarterly view of U.S. labor market shifts and enterprise implications.
AI exposure methodology note
Rubric version, weights, validation set and disagreement analysis.
Workforce transition roadmap
12–36 month plan: roles to redesign, reskill, hire, and sunset.
Role-level AI literacy plan
Skills, evaluations, and rollout sequence per role family.
Where AI agents will reshape knowledge work first
Across the BLS Occupational Outlook Handbook, 10 occupations score at or above 70 on KAR's AI exposure rubric, representing 13.1M U.S. workers. The largest concentration sits in office, finance, legal and customer-facing categories.
Recommendation. Restructure high-exposure functions around supervised agents with explicit review queues. Invest first in evaluation infrastructure and analyst tool fluency — not raw model capability.
Confidence: medium-high · Evidence: BLS OOH + live BLS macro series, KAR Rubric v1.2 · Horizon: Now.