WGI-AIF-002 · governed finding

Written-application AI help allowed in at least one coded form

24 of 30 (80%) in the defined denominator.

Denominator

24 / 30 · employers with coded candidate-AI rules.

Institutions coded in the numerator: McKinsey & Company, UBS, Clifford Chance, Deloitte UK, HSBC, BCG, A&O Shearman, Macquarie Group, BlackRock, Nomura, Rothschild & Co, Bain & Company, Accenture, UK Civil Service Fast Stream, Bank of England, Teach First, Slaughter and May, Ashurst (Ashurst Perkins Coie), Norton Rose Fulbright, DLA Piper, CMS, Bird & Bird, Travers Smith, Mishcon de Reya

Primary-source evidence by institution

What must not be inferred?

Purposive employer list, not a prevalence sample. A statement not located is not evidence that no policy exists.

Evidence

This finding is generated from the governed WGI AI Rules Register v2.0 observed 2026-09-23. Employer-level rules, official-source links and scope are available in the AI Rules Tracker.

Citation

Akram, H. (2026). Written-application AI help allowed in at least one coded form. Who Gets In? AI Rules Tracker v2.0, observed 23 September 2026. https://whogetsin.com/findings/wgi-aif-002

Machine-readable finding · CSV findings table · Methodology


Who Gets In? is a research initiative of Elite Careers Strategy. WGI publishes public selection intelligence; ECS applies selection intelligence privately to individual candidates and families.

Evidence behind this page

Institutions named in this answer

This page states its denominator and evidence route in its own words. The register holds the signals for each institution it names; open a record to read every observation, passage, date and official source, then check the figure against the route the page cites.

Corpus release SIG-001..SIG-1004 · signal register · source register · methodology

This page: revised . Corpus: 1004 dated facts (signals) from 383 official source records, last canonical update . Release notes