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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2450914519
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Dr NR Jagannath (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Inequality: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Automation Exposure: 1 paper
- Governance And Regulation: 1 paper
- Employment: 1 paper
- Inequality: 1 paper
- Job Displacement: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| AI is already reshaping jobs across South Asia and Africa: export‑oriented sectors such as IT–BPO, garments, banking and customer support face the greatest displacement risk, while net job gains are possible but hinge on major investments in reskilling, connectivity and inclusive deployment strategies.openalex | Dr NR Jagannath provider id |
2026-07-16 | 0 |
Citation observation summary
Semantic Scholar 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.