Editorial Standards & Corrections

AI Job Risk Index is run by a dedicated editorial team that owns the exposure-index method (built from public datasets), page structure, publication rules, and final quality decisions. The operating company behind the site is introduced on our About page.

Nothing is published automatically as a finished page: a human editor is responsible for reviewing fixed guides and for any correction decision.

Long-form occupation, industry, and country guides are treated as durable editorial assets, not disposable generated copy. Each one aims for role-specific substance and avoids repeated boilerplate.

Before a page is treated as publishable, we check its structure, internal links, data-driven logic, translation completeness, and visible rendering. A weak page is treated as a page that needs revision, not as a finished page.

Editorial claims about how AI affects a role are grounded in observable evidence: capability releases, enterprise adoption, regulation, and reported implementation patterns. Our flagship analysis pages cite their sources directly so readers can verify them.

The exposure index is a comparative figure from 0 to 100 calculated from public datasets, not a forecast of layoffs. The full method and the sources are documented on our Methodology page.

The method, the choice of data sources and every guide are defined, maintained and reviewed by our editorial team. Figures are calculated by our own code from published datasets; no figure is generated by an AI model. We use software tools to work across languages, but editorial decisions and the final wording are made by our team.

Every figure, guide and correction follows a documented method. The method and standards are ours, and every change to them is logged on the Methodology page.

Figures are refreshed when the public sources publish new editions (the BLS projections yearly, the usage datasets roughly quarterly), and every page shows the date of its data. Long-form guides are reviewed on a separate schedule so they do not drift out of date.

We keep publication and update dates honest. We do not artificially bump dates to appear fresh; a shown update date reflects a real change.

If you find a factual mistake, a broken link, misleading wording, or a page that no longer offers enough value, please tell us through the contact page. We review every correction request manually.

When a correction is warranted, we update the page and, where relevant, its shown update date. A stable page is not a page we ignore — it is a page we expect to improve when the explanation can be made more useful.

This site is funded by its operator and may display third-party advertising. Advertising and any commercial relationship never influence the figures, rankings, or editorial conclusions on this site.

Figures are produced by the same documented method regardless of advertising. If we ever publish sponsored or affiliate content, it will be clearly labeled as such.

This site does not provide personal legal, tax, investment, medical, or career advice. Figures and guides are comparative research material, not guaranteed predictions of individual outcomes.

Real-world AI impact also depends on region, company design, regulation, cost, business conditions, and a worker's own skills, so readers should combine this site with role-specific judgment.