# AI hiring and employment research

> Source-linked evidence registers with reusable records, scope and limitations.

- Canonical: [https://digidai.github.io/research/](https://digidai.github.io/research/)

Updated: 2026-09-08

## AI hiring procurement evidence

A source-linked register of AI hiring product claims, audit scope and unanswered buyer questions. Compare six vendors without treating documentation as a product test.

[Read the register](https://digidai.github.io/research/ai-hiring/) | [Markdown](https://digidai.github.io/research/ai-hiring/index.md) | [JSON](https://digidai.github.io/research/ai-hiring/data.json) | [CSV](https://digidai.github.io/research/ai-hiring/data.csv) | [Review worksheet](https://digidai.github.io/research/ai-hiring/review-template.csv)

## AI and employment evidence

Compare eight source-linked records on AI, work and employment. Keep exposure estimates, task productivity, observed employment and vendor usage data separate.

[Read the register](https://digidai.github.io/research/ai-employment/) | [Markdown](https://digidai.github.io/research/ai-employment/index.md) | [JSON](https://digidai.github.io/research/ai-employment/data.json) | [CSV](https://digidai.github.io/research/ai-employment/data.csv) | [Review worksheet](https://digidai.github.io/research/ai-employment/review-template.csv)

## Method and ownership

These are curated editorial registers, not product tests, original experiments or a systematic review. Gene Dai is a co-founder of Metix AI. Each register explains its selection and limitations. Cite original sources alongside stable HTML record anchors.

[Research index JSON](https://digidai.github.io/research/index.json) | [Updates RSS](https://digidai.github.io/research/feed.xml) | [Corrections](https://digidai.github.io/contact/)