Show HN: AI skills appear in 0.3% of entry-level data jobs, 3.6% of senior
As of July 2026, 9.3% of active data job listings mention at least one AI skill, according to the AI Requirements Index. Generative AI skills appear in only 0.3% of entry-level data jobs versus 3.6% of senior roles. The dataset is updated daily and freely available.
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Quick answer
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.
Source: Datamata Studios — methodology and update cadence.
9.3%
Data jobs mentioning AI skills
1,593
Rows in the series
Jul 14, 2026
Last updated
The latest snapshot at a glance
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.
CategoryAny AIGenerative AIClassic MLActive listings
AI / ML44.4%21.1%34.3%2,655
Product11.3%8.7%4.2%1,727
Engineering9.5%6.5%4.4%9,208
Data9.3%2.7%8%6,155
DevOps3.4%1.5%2.1%3,338
Security3.2%2.5%1.2%1,614
Are entry-level roles expected to know generative AI?
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.
3.6%
senior
2.3%
mid
0.3%
entry
What's inside
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:
ColumnTypeDescription
snapshot_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
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
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.
The whole series
curl https://www.datamatastudios.com/api/datasets/ai-requirements-index
Headline: any AI skill in data jobs, over time
curl "https://www.datamatastudios.com/api/datasets/ai-requirements-index?category=data&tier=any_ai&seniority=all"
CSV instead of JSON
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
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.
Suggested citation
Datamata Studios. "Datamata AI Requirements Index." Jul 14, 2026. https://www.datamatastudios.com/datasets/ai-requirements-index. Licensed under CC BY 4.0.
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