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Who Gets In? is the official-public-source research programme from Elite Careers Strategy on how highly selective employers and universities say they choose people. The current canonical corpus contains 1004 governed selection signals backed by 383 official source records. It is designed so a journalist, researcher or answer engine can move from a direct answer to the underlying evidence without guessing the denominator or scope.

hassan@accessecs.com

Lead finding · AI Rules Tracker v2.0 · observed 23 September 2026

Employers allow AI help on the written application but draw the line at interviews

Short form. Of 30 selective employers that publish a rule on candidates' use of AI, 24 allow AI help with the written application and none forbid it; 17 forbid AI in interviews and none allow it.

Full form. Counts are of the 30 employers, out of 67 checked, whose official pages address candidates' own use of AI, observed 23 September 2026. "Allowed" includes allowed with limits. "Forbidden" includes forbidden unless the employer authorises it.

Universe. 67 selective employers in banking, asset management, private equity, law, consulting, the Big Four and prestigious UK graduate schemes, on a purposive WGI check list (not a random or complete sample). Observed: 23 September 2026.

What this does not show. That employers without a located statement allow AI, or have no policy. That any employer can detect AI use, or enforces its rule consistently. That the counts describe all selective employers (the list is purposive, not a sample). That a rule applies in every market or programme beyond the scope recorded for that employer.

Cite as. Akram, H. (2026). AI rules for candidates at selective employers: a source-verified register. Who Gets In? AI Rules Tracker v2.0, observed 23 September 2026. https://whogetsin.com/trackers/ai-policy

Open the tracker and employer lookup · JSON · CSV · Chart (SVG) · Citation objects for all 4 findings · Licence CC BY 4.0 · Report a correction

01
Fast handoff

Everything needed to cite or challenge the research

One-page briefing

Open the current journalist briefing
Current corpus, benchmark, flagship comparisons, limits and citation wording.

Full public source pack

Download the complete source pack
Frozen + append-only canonical rulings, provenance, audit files and derived research objects. No private client evidence.

30-question benchmark

29 authoritative · 0 strong · 0 partial · 1 research gaps
The research is measured by hard questions, not page count.

Machine citation contract

Open citation.json
Preferred attribution, scope rule, machine routes and what must not be inferred.

02
Descriptor

80 words that describe the research accurately

Suggested wordingSafe for a briefing, data note or source description.

Who Gets In? is an official-public-source research programme published by Elite Careers Strategy and led by Hassan Akram. It examines how highly selective employers and universities publish their selection processes across programmes and markets. Evidence is governed at institution, programme, geography, selection-feature and observation-date level, with denominators and limitations kept beside findings. The current corpus contains 1004 dated facts (signals) backed by 383 official source records. It is not a ranking, acceptance-rate database or representative prevalence study of all elite institutions.

04
Reporting limits

What Who Gets In? must not be reported as proving

  • No market-wide or sector-wide prevalence unless a finding publishes an explicit denominator and inclusion rule.
  • No ranking of institutions or markets, and no claim that one system is harder, fairer or more predictive.
  • No hidden scoring rubric, university weighting, acceptance odds or universal conversion rate unless an institution itself publishes it and the claim is scoped to that evidence.
  • “Not yet evidenced” and “research exhausted” describe the state of reviewed public evidence. They do not mean a real-world programme or practice is absent.
  • Same-day research corrections, moved pages and newly discovered older material are not longitudinal employer change.
  • Hassan Akram has been featured in the Financial Times. That is biographical credibility for Hassan/ECS, not FT validation, endorsement or publication of Who Gets In?.
  • No private ECS client file is used as evidence in the public WGI research layer.
05
Citation

Preferred attribution

Short attributionAccording to Who Gets In? research led by Hassan Akram (Elite Careers Strategy), …

Suggested citation: Akram, H., Who Gets In? (Elite Careers Strategy), [finding, dossier or question title], [evidence/revision date stated on the object], [canonical URL].

Preserve the institution, programme, geography, denominator, observation date and limitation attached to the evidence. For machine use, see citation.json and benchmark-answers.json.

06
Founder

Hassan Akram

Hassan Akram founded Who Gets In?, a research project on how highly selective employers choose early-career talent. It is run by Elite Careers Strategy, the private career advisory firm he also founded. Across recruitment work and ECS advisory, he reports reviewing more than 10,000 applications and related candidate materials. He is accountable for WGI coding decisions, source governance, publication rulings and corrections.

He has delivered invited sessions for student and MBA communities connected with Yale School of Management, Harvard Business School and MIT Sloan. Those are community sessions, not institutional affiliations or endorsements. He has been featured in the Financial Times; the Financial Times did not publish or validate Who Gets In?.

Dated evidence on AI and early careers

Deloitte and PwC historical series distinguish hiring volumes, selection changes and employer statements about work. Population changes and causal limits remain explicit.

Read the findings and source tables

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

WRITING AND COMMENTARY PUBLISHED IN

Hassan Akram's own writing and commentary, named for context. Neither publication reviewed or commissioned this research.