Find a work
Search titles, authors, identifiers, source types, and strata across the multi-source QA-gated corpus. Management-canon ancestry is always labelled apart from AI × organization research.
Browse the worksAI Papers Atlas
See the frontier.
Keep up with AI.
A curated, verifiable database that uses AI to keep up with current AI research relevant to management, organizations, and strategy—while separately tracing the management canon that research invokes.
365AI × organization works
74Management-canon works; not AI papers
793In-corpus citation edges
526ID-derived indexed authors
15Curated researcher profiles
886Identifiers queued for wave 1
Read the claims
Every admitted work carries recorded claims with an evidence class, a scope boundary, and a confidence grade—not just a link.
Open the corpus viewSee how it’s built
Read about the human-directed AI apparatus that sweeps, screens, codes, and QA-gates this corpus—and where its limits are.
Read the coverage limitsBrowse the wave by source family.
The current cut spans peer-reviewed scholarship, standards, working papers, and primary practitioner artifacts. Families come from recorded metadata, never from an inferred quality ranking.
Claim-rich works
Start with the wave’s most-coded works.
Ranked by the number of evidence-graded claims recorded from each work—not by quality, citations, recommendation, or global popularity.
AIORG-W007 High-confidence claim
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
Organization Science
AIORG-W034 High-confidence claim
The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers
Management Science · 2026-02-27
W7171745901 High-confidence claim
Agency Without Internal Discipline: Organizational Economics of Artificial Intelligence Agents
ssrn abstract page · 2026-06-06
W7203534065 High-confidence claim
From AI-Assisted Firms to Agentic Firms: A Theory of Organizational Creative Destruction in the Age of Autonomous Intelligence
ssrn abstract page · 2026-08-15
AIORG-W001
AI-Native Firms
working paper abstract · 2026-07-01
AIORG-W002 High-confidence claim
Mapping AI into Production
working paper abstract · 2026-04-03
Why this exists
Use AI to keep up with AI.
The research that matters to management, organizations, and strategy now appears at preprint speed—faster than any reading list, review cycle, or lab webpage. So we point the same technology at the reading problem: agentic campaigns sweep the sources, every claim is graded and bounded, independent QA gates every landing, and every count reproduces from a hash-manifested ledger.
365AI × organization works QA-accepted before landing
- Evidence-graded claims
- 567
- Curated researcher profiles
- 15
- ID-derived indexed authors
- 526
- Representative-work claim occurrences
- 53
- Management-canon works
- 74
- In-corpus citation edges
- 793
- Identifiers queued for wave 1
- 886
The 34-work, 70-claim gold sentinel remains intact inside this larger cut. The curated roster records claim-bearing profiles, not an A1 bibliographic-work count; the separate author index groups only A-ID-backed authorships. The sealed enrichment pass is complete for its frozen snapshot, while citation and author coverage remains partial for later B1/E1 admissions.