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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, but only 0.3% of entry-level data jobs require AI skills compared to 3.6% of senior roles, according to the AI Requirements Index from Datamata Studios. The free dataset tracks generative AI and classic ML skill mentions across job categories and seniority levels, updated daily.

read4 min views1 publishedJul 15, 2026
Show HN: AI skills appear in 0.3% of entry-level data jobs, 3.6% of senior
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Skill trends, comparisons, salary context, resume help and long-form guides — jump straight to what brings people back.

How fast AI skills are becoming a job requirement: the daily share of active tech job listings mentioning AI skills, tracked over time and split by skill tier (generative AI vs classic machine learning), job category and seniority. A listing counts once per tier no matter how many AI skills it lists. Free to download, analyse and republish — just credit the source.

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.

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.

Category Any AI Generative AI Classic ML Active listings
AI / ML 44.4% 21.1% 34.3% 2,655
Product 11.3% 8.7% 4.2% 1,727
Engineering 9.5% 6.5% 4.4% 9,208
Data 9.3% 2.7% 8% 6,155
DevOps 3.4% 1.5% 2.1% 3,338
Security 3.2% 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.

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:

Column Type Description
snapshot_date date UTC date the snapshot was computed (YYYY-MM-DD).
category string Job category: data, engineering, product, devops, security or ai.
seniority string Seniority split: all, entry, mid, senior, lead or unknown.
tier string AI skill tier: genai (LLM-era skills), ml (classic ML) or any_ai (either).
listings_with_ai integer Active listings mentioning at least one skill in the tier.
total_listings integer All active listings in the category/seniority group on that date.
pct number listings_with_ai / total_listings × 100, rounded to 0.1.
required_count integer Listings 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

.

curl https://www.datamatastudios.com/api/datasets/ai-requirements-index

curl "https://www.datamatastudios.com/api/datasets/ai-requirements-index?category=data&tier=any_ai&seniority=all"

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.

More open datasets #

Skill Demand Index

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

Weekly GitHub stars, downloads and job demand for open source data tools, with a single momentum score. Free, CC BY 4.0.

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