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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5123382194
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- hn.cbp (openalex, provider refresh)
- hn.cbp (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Adoption Rate: 1 paper
- Inequality: 1 paper
- Other: 1 paper
- Skill Acquisition: 1 paper
- Training Effectiveness: 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 |
|---|---|---|---|
| U.S. productivity is being held back not by a lack of AI innovation but by workforce frictions—mid-career barriers, splintered credentials, and employer adoption gaps—that block diffusion and widen wage gaps; fixing these institutional bottlenecks with demand-aligned, scalable training and regional partnerships is the paper's central policy prescription.openalex | hn.cbp provider id |
2026-01-20 | 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.