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AI Requirements Index — Open Dataset
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 August 2026, 11.8% 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 Aug 21, 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 | 58.5% | 32.4% | 45.4% | 1,353 |
| Product | 14.9% | 12.4% | 4% | 1,277 |
| Engineering | 12% | 9% | 4.8% | 5,424 |
| Data | 11.8% | 4.9% | 9.3% | 3,096 |
| Security | 7.5% | 6.5% | 1.5% | 734 |
| DevOps | 5.1% | 3.1% | 2.4% | 1,739 |
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.
How AI skill demand has moved over time
Weekly average share of data listings mentioning generative-AI vs classic-ML skills. Daily snapshots are averaged per week to smooth scrape-volume noise — full daily granularity is in the download.
| Week | Generative AI | Classic ML |
|---|---|---|
| Week of Mar 9, 2026 | 18.8% | 53.7% |
| Week of Mar 16, 2026 | 21% | 52.5% |
| Week of Mar 23, 2026 | 21.5% | 49.7% |
| Week of Mar 30, 2026 | 20.5% | 48.8% |
| Week of Apr 6, 2026 | 15.4% | 29.3% |
| Week of Apr 13, 2026 | 15% | 33% |
| Week of Apr 20, 2026 | 15.5% | 30.7% |
| Week of Apr 27, 2026 | 18% | 36.1% |
| Week of May 4, 2026 | 18.1% | 33.3% |
| Week of May 11, 2026 | 17.1% | 31.1% |
| Week of May 18, 2026 | 16.4% | 30.6% |
| Week of May 25, 2026 | 14.1% | 24.1% |
| Week of Jun 1, 2026 | 11.7% | 19.5% |
| Week of Jun 8, 2026 | 14% | 27.9% |
| Week of Jun 15, 2026 | 14% | 27.9% |
| Week of Jun 22, 2026 | 5.4% | 14.6% |
| Week of Jun 29, 2026 | 8.9% | 19.6% |
| Week of Jul 6, 2026 | 3.4% | 9% |
| Week of Jul 13, 2026 | 2.6% | 7.8% |
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.
# 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." Aug 21, 2026. https://www.datamatastudios.com/datasets/ai-requirements-index. Licensed under CC BY 4.0.More open datasets
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