Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
8Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5123486048
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Claudiu Chiru (openalex, provider refresh)
- Claudiu Chiru (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Skill Acquisition: 1 paper
- Automation Exposure: 1 paper
- Job Displacement: 1 paper
- Employment: 1 paper
- Hiring: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 1 paper
- Task Completion Time: 1 paper
- Worker Satisfaction: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Enterprise generative and agentic AI tools are linked to measurable productivity and workflow gains across firms, but current evidence offers no consensus on whether these technologies produce net job losses or wage changes; policymakers should treat labor-impact claims as provisional and prioritize targeted reskilling and rigorous field evaluations.openalex | Claudiu Chiru provider id |
2025-12-30 | 7 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 7 cumulative citations. This is a coverage summary, not an author score or h-index.