{
  "name": "Who Gets In? — Current Media Source Notes",
  "publisher": "Elite Careers Strategy",
  "research_lead": "Hassan Akram",
  "canonical_media_page": "https://www.accessecs.com/who-gets-in/media",
  "updated": "2026-09-12",
  "purpose": "A journalist-facing feed of timely, narrowly framed source notes that can be verified against current primary sources. These are reporting leads, not claims of market-wide prevalence.",
  "governance": {
    "primary_source_first": true,
    "no_prevalence_inference": true,
    "no_causation_inference": true,
    "historical_snapshots_preserved": true,
    "contact": "hassan@accessecs.com"
  },
  "notes": [
    {
      "id": "WGI-MEDIA-2026-001",
      "status": "media_ready_institution_example",
      "theme": "AI fluency and protected unaided judgement",
      "headline": "UBS is pairing graduate AI fluency with explicit no-AI boundaries in assessments and interviews",
      "why_now": "UBS's current Graduate Talent Program includes an AI Fluency Pathway focused on real-world use, responsible application and sound judgment, while its current application guidelines allow AI support for application documents but prohibit AI assistance in assessments and interviews.",
      "safe_interpretation": "A current institution-specific example of an employer expecting AI capability while protecting unaided assessed moments. Do not report this as proof that the whole banking market has adopted the same model.",
      "sources": [
        "https://www.ubs.com/global/en/careers/early-careers/graduate-talent-program.html",
        "https://www.ubs.com/global/en/careers/search-jobs/faq/ai-usage.html"
      ],
      "wgi_context": "https://www.accessecs.com/who-gets-in/report-01",
      "suggested_hassan_line": "The interesting shift is not simply that employers want graduates who can use AI. It is that they are drawing a sharper boundary around where AI use stops: can you use AI productively at work, and can you still demonstrate your own judgement when the institution needs to know it is really yours?"
    },
    {
      "id": "WGI-MEDIA-2026-002",
      "status": "media_ready_narrow_pattern",
      "theme": "AI in legal applications",
      "headline": "Two current law-firm application policies permit AI support while protecting authenticity and original judgement",
      "why_now": "Covington's London careers guidance permits AI support but says final submissions should reflect the candidate's own original responses and voice. Broadfield permits AI for research, structure or proofreading but warns that over-reliance will score poorly because it assesses genuine personal experiences and authentic reflections.",
      "safe_interpretation": "These are two institution-specific examples consistent with the Who Gets In? ownership/authenticity thesis. They do not establish prevalence across the legal market.",
      "sources": [
        "https://www.cov.com/en/careers/lawyers/london/apply",
        "https://broadfieldlaw.com/uk/early-careers/vacation-schemes/"
      ],
      "wgi_context": "https://www.accessecs.com/who-gets-in/report-01",
      "suggested_hassan_line": "The emerging distinction is not AI versus no AI. It is assistance versus authorship. Firms can tolerate tools around the edges while still insisting that the judgement, examples and assessed performance belong to the candidate."
    },
    {
      "id": "WGI-MEDIA-2026-003",
      "status": "priority_media_ready_institution_change",
      "theme": "selection architecture moving toward AI-enabled work simulation",
      "headline": "Clifford Chance has launched an AI-enabled immersive route that can fast-track candidates to a Training Contract Assessment Day",
      "why_now": "Clifford Chance's newly launched The Challenge asks candidates to collaborate, use AI tools and tackle trainee-style legal and business problems for a fictional global client. Standout performers in the final assessed task can be fast-tracked to a Training Contract Assessment Day. The firm's current Training Contract process separately retains conventional assessment stages including an immersive online assessment, Watson Glaser, video interview, case-study interview, written exercise and group exercise.",
      "safe_interpretation": "A current institution-specific example of AI being incorporated into a realistic early-career work simulation that can affect progression. It does not establish that law-firm selection generally has moved to AI-enabled simulation.",
      "sources": [
        "https://jobs.cliffordchance.com/the-challenge-london",
        "https://jobs.cliffordchance.com/training-contract-london"
      ],
      "wgi_context": "https://www.accessecs.com/who-gets-in/report-01",
      "suggested_hassan_line": "This is more interesting than a firm merely saying graduates should understand AI. Clifford Chance is putting AI inside a work-like experience that can affect progression. That points to a different selection question: not whether a candidate can avoid AI, but whether they can use it inside a realistic problem while still showing judgement, collaboration and commercial thinking."
    }
  ],
  "reporting_limit": "This feed surfaces timely source-backed reporting leads. It does not turn a small number of observed institutions into a market estimate. Journalists should retain the institution-level scope unless the main Who Gets In? register supports a broader denominator."
}