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:
A5073839355
ORCID evidence
Observed aliases (2)
- Omokolade Akinsomi (openalex, provider refresh)
- Omokolade Akinsomi (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Adoption Rate: 1 paper
- Ai Safety And Ethics: 1 paper
- Automation Exposure: 1 paper
- Decision Quality: 1 paper
- Employment: 1 paper
- Inequality: 1 paper
- Market Structure: 1 paper
- Regulatory Compliance: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Agentic AI can automate large parts of the real estate value chain, cutting time and errors in valuation, leasing and property management, but fragmented data, integration costs, liability risks and the need for embodied inspection mean humans remain central and adoption will depend on standards and regulation.openalex | Omokolade Akinsomi provider id |
2026-09-11 | 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.