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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5138080195
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Daniel Juncker Thomsen (openalex, provider refresh)
- Daniel Juncker Thomsen (openalex, source metadata)
- Thomsen, Daniel Juncker (openalex, provider refresh)
- Thomsen, Daniel Juncker (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Market Structure: 1 paper
- Other: 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 |
|---|---|---|---|
| Since ChatGPT's launch, firms more dependent on AI have been repriced: they suffer larger negative moves after unexpected Fed forward-guidance shifts and show stronger bubble-like price behavior, implying AI exposure magnifies both monetary-policy sensitivity and speculative valuation risk.openalex | Thomsen, Daniel Juncker provider id |
2026-01-01 | 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.