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Quick answer<br>As of July 2026, 9.3% of active data job listings mention at least one AI skill, according to the AI Requirements Index, which tracks generative-AI and classic-ML skill mentions daily and is released free under CC BY 4.0.<br>Source: Datamata Studios — methodology and update cadence.

9.3%<br>Data jobs mentioning AI skills

1,593<br>Rows in the series

Jul 14, 2026<br>Last updated

The latest snapshot at a glance<br>Share of active listings mentioning at least one AI skill on Jul 14, 2026, per category. The generative AI tier covers LLM-era skills like RAG, fine-tuning and LangChain; classic ML covers PyTorch, scikit-learn and friends; any AI is either.<br>CategoryAny AIGenerative AIClassic MLActive listingsAI / ML44.4%21.1%34.3%2,655Product11.3%8.7%4.2%1,727Engineering9.5%6.5%4.4%9,208Data9.3%2.7%8%6,155DevOps3.4%1.5%2.1%3,338Security3.2%2.5%1.2%1,614<br>Are entry-level roles expected to know generative AI?<br>Generative-AI skill share by seniority for Data roles on the latest snapshot. The full seniority split for every category and tier is in the download.<br>3.6%<br>senior

2.3%<br>mid

0.3%<br>entry

What's inside<br>Unlike a latest-snapshot dataset, this one carries the full time series — one row per snapshot date, category, seniority and AI tier — so the trend itself is the data. The CSV is plain tabular data; the JSON wraps the same rows with metadata (version, licence, generation timestamp). Columns:<br>ColumnTypeDescriptionsnapshot_datedateUTC date the snapshot was computed (YYYY-MM-DD).categorystringJob category: data, engineering, product, devops, security or ai.senioritystringSeniority split: all, entry, mid, senior, lead or unknown.tierstringAI skill tier: genai (LLM-era skills), ml (classic ML) or any_ai (either).listings_with_aiintegerActive listings mentioning at least one skill in the tier.total_listingsintegerAll active listings in the category/seniority group on that date.pctnumberlistings_with_ai / total_listings × 100, rounded to 0.1.required_countintegerListings where a tier skill is a hard requirement rather than nice-to-have. Blank for legacy rows.

How often it updates<br>The pipeline snapshots every active job listing daily, extracts skills from listing text with a curated taxonomy and records the share of listings mentioning at least one skill per AI tier. Shares are listing-level, so a listing naming five AI skills counts once. For the full collection method, sources and known limitations, read the data methodology. To explore AI skill demand interactively, see the live AI skills intelligence page.

Query it with the API<br>The same series is available as a read-only JSON endpoint with open CORS, so you can fetch it from the browser or a script. Filter by category, tier and seniority.<br># The whole series<br>curl https://www.datamatastudios.com/api/datasets/ai-requirements-index

# Headline: any AI skill in data jobs, over time<br>curl "https://www.datamatastudios.com/api/datasets/ai-requirements-index?category=data&tier=any_ai&seniority=all"

# CSV instead of JSON<br>curl "https://www.datamatastudios.com/api/datasets/ai-requirements-index?format=csv"Responses carry the same columns as the download, plus the licence, attribution and the bulk download URLs. Please keep the attribution link when you republish.

Licence & attribution<br>The AI Requirements Index is released under the Creative Commons Attribution 4.0 (CC BY 4.0) licence. You can share and adapt it for any purpose, including commercially, as long as you credit Datamata Studios and link back to this page. It is also published on Hugging Face and Kaggle.<br>Suggested citation<br>Datamata Studios. "Datamata AI Requirements Index." Jul 14, 2026. https://www.datamatastudios.com/datasets/ai-requirements-index. Licensed under CC BY 4.0.<br>More open datasets<br>Skill Demand Index<br>Daily share of active tech job listings mentioning each skill across data, engineering, product, DevOps, security and AI. Free, CC BY 4.0.

Data Tool Momentum Index<br>Weekly GitHub stars, downloads and job demand for open source data tools, with a single momentum score. Free, CC BY 4.0.