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
0Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5135620689
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Nassim Dehouche (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Hiring: 1 paper
- Inequality: 1 paper
- Other: 1 paper
- Job Displacement: 1 paper
- Skill Obsolescence: 1 paper
- Wages: 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 |
|---|---|---|---|
| Early empirical evidence suggests AI language models are already trimming demand for junior cognitive work: across studies job postings for entry- and mid-level software development and content-creation roles fell roughly 14–41% after GPT-3/ChatGPT, while workers who demonstrate AI-augmentation skills earn a 15–22% premium. The impact is uneven—QA and infrastructure roles are expanding as outsourcing-exposed developing economies and routine tasks show the largest declines—and conclusions remain provisional due to short observation windows and geographic gaps.semantic_scholar | Nassim Dehouche provider id |
Fetched 2026-05-12 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.