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The most methodologically rigorous, fully transparent AI job-exposure index.

TypeScript 88% Python 6.1% SQL 2.7% CSS 1.2% JavaScript 0.9% Shell 0.8%
635 B · 16 lines python
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1#  File:    __init__.py2#  Path:    apps/etl/src/airiskindex_etl/__init__.py3#  Project: AI Risk Index — airiskindex.io4#  Author:  Simon-Pierre Boucher5#  Contact: contact@spboucher.ai6#  Copyright © 2026 Simon-Pierre Boucher. All rights reserved.7#8#  Description: ETL package: raw source dumps -> derived artifacts -> Postgres.910"""AI Risk Index ETL: raw source dumps -> derived artifacts -> Postgres.1112Raw data is never edited in place (CLAUDE.md §1); every derived artifact gets a13manifest JSON (hashes + row counts) — only manifests are committed.14Source catalogue with verified URLs: docs/research/02-data-sources.md.15"""16