{
  "generated_at": "2026-05-01T00:00:13.550Z",
  "counts": {
    "nodes": 197,
    "edges": 353,
    "documents": 24,
    "orphan_links": 0
  },
  "nodes": [
    {
      "id": "page-adapt-ai-tools",
      "type": "page",
      "label": "How to Adapt — Using AI Tools Safely and Effectively",
      "metadata": {
        "aliases": [
          "How to Adapt — AI Tools",
          "AI Tools guide"
        ],
        "tags": [
          "ai-tools",
          "augmentation",
          "productivity",
          "guidance"
        ],
        "url": "/adapt/ai-tools",
        "summary": "\r\n# How to Adapt — Using AI Tools Safely and Effectively\r\n\r\nGuide at [/adapt/ai-tools](/adapt/ai-tools). Basics of integrating AI into daily workflow without risk.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-ai-tools.md"
      }
    },
    {
      "id": "page-adapt-career-transitions",
      "type": "page",
      "label": "How to Adapt — Career Transitions & Pivoting",
      "metadata": {
        "aliases": [
          "How to Adapt — Career Transitions",
          "Career Transitions guide"
        ],
        "tags": [
          "career-transitions",
          "pivoting",
          "early-career",
          "guidance"
        ],
        "url": "/adapt/career-transitions",
        "summary": "\r\n# How to Adapt — Career Transitions & Pivoting\r\n\r\nGuide at [/adapt/career-transitions](/adapt/career-transitions). Strategic guidance for switching roles or industries when AI reshapes your sector.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-career-transitions.md"
      }
    },
    {
      "id": "page-adapt-human-advantage",
      "type": "page",
      "label": "How to Adapt — Building Your Human Advantage",
      "metadata": {
        "aliases": [
          "How to Adapt — Human Advantage",
          "Human Advantage guide"
        ],
        "tags": [
          "human-advantage",
          "judgement",
          "emotional-intelligence",
          "guidance"
        ],
        "url": "/adapt/human-advantage",
        "summary": "\r\n# How to Adapt — Building Your Human Advantage\r\n\r\nGuide at [/adapt/human-advantage](/adapt/human-advantage). Focus on skills AI can't replicate: creativity, emotional intelligence, and complex problem-solving.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-human-advantage.md"
      }
    },
    {
      "id": "page-adapt-index",
      "type": "page",
      "label": "How to Adapt",
      "metadata": {
        "aliases": [
          "Adapt index",
          "How to Adapt page"
        ],
        "tags": [
          "guidance",
          "upskilling",
          "rights"
        ],
        "url": "/how-to-adapt",
        "summary": "\r\n# How to Adapt\r\n\r\nIndex page at [/how-to-adapt](/how-to-adapt) linking the six adaptation guides: Upskilling & Reskilling, Using AI Tools Safely, Reducing Repetitive Tasks, Building Your Human Advantage, Your Rights & Protections, Career Transitions & Pivoting.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-index.md"
      }
    },
    {
      "id": "page-adapt-repetitive-tasks",
      "type": "page",
      "label": "How to Adapt — Reducing Repetitive Tasks",
      "metadata": {
        "aliases": [
          "How to Adapt — Repetitive Tasks",
          "Repetitive Tasks guide"
        ],
        "tags": [
          "repetitive-tasks",
          "automation",
          "augmentation",
          "guidance"
        ],
        "url": "/adapt/repetitive-tasks",
        "summary": "\r\n# How to Adapt — Reducing Repetitive Tasks\r\n\r\nGuide at [/adapt/repetitive-tasks](/adapt/repetitive-tasks). Identify and automate low-value work to focus on human strengths.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-repetitive-tasks.md"
      }
    },
    {
      "id": "page-adapt-rights-protections",
      "type": "page",
      "label": "How to Adapt — Your Rights & Protections",
      "metadata": {
        "aliases": [
          "How to Adapt — Rights & Protections",
          "Rights guide"
        ],
        "tags": [
          "rights",
          "statutory",
          "acas",
          "uk",
          "guidance"
        ],
        "url": "/adapt/rights-protections",
        "summary": "\r\n# How to Adapt — Your Rights & Protections\r\n\r\nGuide at [/adapt/rights-protections](/adapt/rights-protections). UK statutory rights, redundancy protections, and what to do if AI threatens your job. The longest of the six adapt guides at ~25KB.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-rights-protections.md"
      }
    },
    {
      "id": "page-adapt-upskilling",
      "type": "page",
      "label": "How to Adapt — Upskilling & Reskilling",
      "metadata": {
        "aliases": [
          "How to Adapt — Upskilling",
          "Upskilling guide"
        ],
        "tags": [
          "upskilling",
          "reskilling",
          "skills",
          "guidance"
        ],
        "url": "/adapt/upskilling",
        "summary": "\r\n# How to Adapt — Upskilling & Reskilling\r\n\r\nGuide at [/adapt/upskilling](/adapt/upskilling). Practical strategies for building future-proof capabilities as automation increases.\r\n\r\n## Research backing\r",
        "file": "pages/adapt-upskilling.md"
      }
    },
    {
      "id": "page-big-picture",
      "type": "page",
      "label": "The Big Picture",
      "metadata": {
        "aliases": [
          "Big Picture page"
        ],
        "tags": [
          "macro",
          "projections",
          "charts",
          "uk"
        ],
        "url": "/big-picture",
        "summary": "\r\n# The Big Picture\r\n\r\nThe UK macro overview at [/big-picture](/big-picture). Renders ~10 Chart.js visualisations driven by `bigPictureData` in `js/big-picture-data.js`: historical employment 2004–2024, with-AI vs without-AI projections, industry exposure comparison, AI investment by sector, job-postings trend, unemployment by age, regional impact, skills demand, graduate employment, and AI adopti",
        "file": "pages/big-picture.md"
      }
    },
    {
      "id": "page-calculator",
      "type": "page",
      "label": "Job Impact Calculator",
      "metadata": {
        "aliases": [
          "Calculator page",
          "AI Job Impact Calculator"
        ],
        "tags": [
          "calculator",
          "scoring-rubric",
          "exposure",
          "methodology"
        ],
        "url": "/calculator",
        "summary": "\r\n# Job Impact Calculator\r\n\r\nThe interactive scoring tool at [/calculator](/calculator). Asks the user 8 questions (job title, industry, computer-work share, repetitiveness, physical dexterity, creativity, emotional intelligence, management type, plus optional leadership-activity checkboxes) and produces a today / 2y / 5y / 10y exposure percentage with a personalised insights block.\r\n\r\n## What it ",
        "file": "pages/calculator.md"
      }
    },
    {
      "id": "page-guides-office-worker",
      "type": "page",
      "label": "Guide for Office Workers",
      "metadata": {
        "aliases": [
          "Office Worker guide"
        ],
        "tags": [
          "role-guide",
          "admin",
          "office",
          "guidance"
        ],
        "url": "/guides/office-worker",
        "summary": "\r\n# Guide for Office Workers\r\n\r\nRole-specific guide at [/guides/office-worker](/guides/office-worker). One of three \"Quick Practical Guides\" linked from the home page (alongside Manager and Freelancer).\r\n\r\n## Research backing\r",
        "file": "pages/guides-office-worker.md"
      }
    },
    {
      "id": "page-industries-admin-customer-support",
      "type": "page",
      "label": "Industry Insights — Admin & Customer Support",
      "metadata": {
        "aliases": [
          "Admin & Customer Support industry page"
        ],
        "tags": [
          "admin",
          "clerical",
          "customer-support",
          "exposure",
          "displacement"
        ],
        "url": "/industries/admin-customer-support",
        "summary": "\r\n# Industry Insights — Admin & Customer Support\r\n\r\nDetail page at [/industries/admin-customer-support](/industries/admin-customer-support). The highest-exposure tier in nearly every framework. Customer-service chatbots and admin automation are the visible front line.\r\n\r\n## Research backing\r",
        "file": "pages/industries-admin-support.md"
      }
    },
    {
      "id": "page-industries-finance",
      "type": "page",
      "label": "Industry Insights — Finance & Banking",
      "metadata": {
        "aliases": [
          "Finance industry page"
        ],
        "tags": [
          "finance",
          "banking",
          "exposure",
          "augmentation"
        ],
        "url": "/industries/finance",
        "summary": "\r\n# Industry Insights — Finance & Banking\r\n\r\nDetail page at [/industries/finance](/industries/finance). High exposure, mostly augmented rather than replaced for senior roles; entry-level analyst positions under most pressure.\r\n\r\n## Research backing\r",
        "file": "pages/industries-finance.md"
      }
    },
    {
      "id": "page-industries-index",
      "type": "page",
      "label": "Industry Insights",
      "metadata": {
        "aliases": [
          "Industries page",
          "Industry Insights index"
        ],
        "tags": [
          "sectors",
          "exposure",
          "uk"
        ],
        "url": "/industries",
        "summary": "\r\n# Industry Insights\r\n\r\nIndex page at [/industries](/industries) listing 18 routed sector pages (Technology & Software, Finance & Banking, Healthcare & Social Care, Education & Training, Retail & Ecommerce, Hospitality, Logistics & Transport, Manufacturing, Construction, Public Sector, Professional Services, Creative, Admin Support, Energy & Utilities, Agriculture, Real Estate, Telecommunications",
        "file": "pages/industries-index.md"
      }
    },
    {
      "id": "page-industries-tech",
      "type": "page",
      "label": "Industry Insights — Technology & Software",
      "metadata": {
        "aliases": [
          "Tech industry page",
          "Technology & Software"
        ],
        "tags": [
          "tech",
          "software",
          "exposure",
          "augmentation"
        ],
        "url": "/industries/tech",
        "summary": "\r\n# Industry Insights — Technology & Software\r\n\r\nDetail page at [/industries/tech](/industries/tech). Both creator and disruptee of AI. AI specialist jobs grow 3.6× faster than all jobs over a decade with 14% wage premium. But entry-level role hiring has dropped sharply.\r\n\r\n## Research backing\r",
        "file": "pages/industries-tech.md"
      }
    },
    {
      "id": "page-news",
      "type": "page",
      "label": "News & Research Updates",
      "metadata": {
        "aliases": [
          "News page"
        ],
        "tags": [
          "meta",
          "research-log",
          "audit-trail"
        ],
        "url": "/news",
        "summary": "\r\n# News & Research Updates\r\n\r\nMeta-page at [/news](/news). Logs incoming research with two source links per entry — one for humans (PDF), one for robots/AI (markdown summary in the vault) — and an explicit `impact[]` array naming every site surface that changed in response.\r\n\r\n## Schema\r",
        "file": "pages/news.md"
      }
    },
    {
      "id": "2026-01-bis-eu-firms-ai-adoption",
      "type": "paper",
      "label": "AI adoption, productivity and employment: evidence from European firms",
      "metadata": {
        "aliases": [
          "BIS European Firm-Level Study",
          "BIS WP 1325",
          "Aldasoro et al 2026"
        ],
        "tags": [
          "eu",
          "us",
          "central-bank",
          "causal",
          "firm-level",
          "productivity",
          "augmentation",
          "working-paper"
        ],
        "date": "2026-01",
        "publisher": "Bank for International Settlements",
        "authors": "Iñaki Aldasoro; Leonardo Gambacorta; Rozalia Pal; Debora Revoltella; Christoph Weiss; Marcin Wolski",
        "url": null,
        "source": "/research/2026-01-bis-eu-firms-ai-adoption.pdf",
        "extract": "/research/extracts/2026-01-bis-eu-firms-ai-adoption.md",
        "summary": "\r\n# AI adoption, productivity and employment: evidence from European firms\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-01-bis-eu-firms-ai-adoption.pdf](/research/2026-01-bis-eu-firms-ai-adoption.pdf) · Raw extract (machine): [2026-01-bis-eu-firms-ai-adoption.md](/research/extracts/2026-01-bis-eu-firms-ai-adoption.md)\r\n> BIS Working Paper No 1325 — January 2026 — Empirical firm-level study (Europe + ",
        "file": "research/2026-01-bis-eu-firms-ai-adoption.md"
      }
    },
    {
      "id": "2026-01-dsit-uk-labour-market-assessment",
      "type": "paper",
      "label": "Assessment of AI capabilities and the impact on the UK labour market",
      "metadata": {
        "aliases": [
          "DSIT UK Labour Market Assessment",
          "DSIT 2026",
          "UK Government AI Labour Assessment"
        ],
        "tags": [
          "uk",
          "government",
          "evidence-review",
          "productivity",
          "exposure",
          "hiring",
          "policy"
        ],
        "date": "2026-01-28",
        "publisher": "UK Department for Science, Innovation & Technology",
        "authors": "DSIT AI and Future of Work Unit; AI Security Institute",
        "url": null,
        "source": "/research/2026-01-dsit-uk-labour-market-assessment.pdf",
        "extract": "/research/extracts/2026-01-dsit-uk-labour-market-assessment.md",
        "summary": "\r\n# Assessment of AI capabilities and the impact on the UK labour market\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-01-dsit-uk-labour-market-assessment.pdf](/research/2026-01-dsit-uk-labour-market-assessment.pdf) · Raw extract (machine): [2026-01-dsit-uk-labour-market-assessment.md](/research/extracts/2026-01-dsit-uk-labour-market-assessment.md)\r\n> DSIT + AI Security Institute — 28 January 2026 — C",
        "file": "research/2026-01-dsit-uk-labour-market-assessment.md"
      }
    },
    {
      "id": "2026-01-imf-skill-gaps-new-jobs",
      "type": "paper",
      "label": "Bridging Skill Gaps for the Future: New Jobs Creation in the AI Age",
      "metadata": {
        "aliases": [
          "IMF Skill Gaps SDN",
          "Jaumotte et al 2026",
          "IMF SDN/2026/001"
        ],
        "tags": [
          "cross-country",
          "multilateral",
          "skills",
          "polarisation",
          "wages",
          "lightcast",
          "working-paper"
        ],
        "date": "2026-01",
        "publisher": "International Monetary Fund",
        "authors": "Florence Jaumotte; Jaden Kim; David Koll; Elmer Z. Li; Longji Li; Giovanni Melina; Alina Song; Marina M. Tavares",
        "url": null,
        "source": "/research/2026-01-imf-skill-gaps-new-jobs.pdf",
        "extract": "/research/extracts/2026-01-imf-skill-gaps-new-jobs.md",
        "summary": "\r\n# Bridging Skill Gaps for the Future: New Jobs Creation in the AI Age\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-01-imf-skill-gaps-new-jobs.pdf](/research/2026-01-imf-skill-gaps-new-jobs.pdf) · Raw extract (machine): [2026-01-imf-skill-gaps-new-jobs.md](/research/extracts/2026-01-imf-skill-gaps-new-jobs.md)\r\n> IMF Staff Discussion Note SDN/2026/001 — January 2026 — Cross-country (advanced + emerg",
        "file": "research/2026-01-imf-skill-gaps-new-jobs.md"
      }
    },
    {
      "id": "2026-03-anthropic-labor-market-impacts",
      "type": "paper",
      "label": "Labor market impacts of AI: A new measure and early evidence",
      "metadata": {
        "aliases": [
          "Anthropic Observed Exposure",
          "Massenkoff & McCrory 2026",
          "Anthropic Labor Market Note"
        ],
        "tags": [
          "us",
          "descriptive",
          "exposure-measure",
          "age-gradient",
          "hiring",
          "anthropic"
        ],
        "date": "2026-03-05",
        "publisher": "Anthropic",
        "authors": "Maxim Massenkoff; Peter McCrory",
        "url": null,
        "source": "/research/2026-03-anthropic-labor-market-impacts.pdf",
        "extract": "/research/extracts/2026-03-anthropic-labor-market-impacts.md",
        "summary": "\r\n# Labor market impacts of AI: A new measure and early evidence\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-03-anthropic-labor-market-impacts.pdf](/research/2026-03-anthropic-labor-market-impacts.pdf) · Raw extract (machine): [2026-03-anthropic-labor-market-impacts.md](/research/extracts/2026-03-anthropic-labor-market-impacts.md)\r\n> Anthropic research note — 5 March 2026 — Empirical research note i",
        "file": "research/2026-03-anthropic-labor-market-impacts.md"
      }
    },
    {
      "id": "2026-03-arxiv-ai-layoff-trap",
      "type": "paper",
      "label": "The AI Layoff Trap",
      "metadata": {
        "aliases": [
          "AI Layoff Trap",
          "Falk & Tsoukalas 2026"
        ],
        "tags": [
          "theoretical",
          "displacement",
          "policy",
          "arxiv",
          "automation-tax",
          "demand-externality"
        ],
        "date": "2026-03-21",
        "publisher": "arXiv (econ.TH)",
        "authors": "Brett Hemenway Falk; Gerry Tsoukalas",
        "url": null,
        "source": "/research/2026-03-arxiv-ai-layoff-trap.pdf",
        "extract": "/research/extracts/2026-03-arxiv-ai-layoff-trap.md",
        "summary": "\r\n# The AI Layoff Trap\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-03-arxiv-ai-layoff-trap.pdf](/research/2026-03-arxiv-ai-layoff-trap.pdf) · Raw extract (machine): [2026-03-arxiv-ai-layoff-trap.md](/research/extracts/2026-03-arxiv-ai-layoff-trap.md)\r\n> arXiv:2603.20617v1 — 21 March 2026 — Theoretical economic model (task-based automation), 53 pages\r",
        "file": "research/2026-03-arxiv-ai-layoff-trap.md"
      }
    },
    {
      "id": "2026-03-fedres-atlanta-ai-productivity-workforce-cfos",
      "type": "paper",
      "label": "Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives",
      "metadata": {
        "aliases": [
          "Atlanta Fed CFO Survey 2026",
          "Baslandze et al 2026"
        ],
        "tags": [
          "us",
          "survey",
          "productivity",
          "workforce-composition",
          "firm-size",
          "working-paper",
          "central-bank"
        ],
        "date": "2026-03",
        "publisher": "Federal Reserve Bank of Atlanta",
        "authors": "Salomé Baslandze; Zachary Edwards; John R. Graham; Ty McClure; Michael Sparks; Brent Meyer; Sonya Ravindranath Waddell; Daniel Weitz",
        "url": null,
        "source": "/research/2026-03-fedres-atlanta-ai-productivity-workforce-cfos.pdf",
        "extract": "/research/extracts/2026-03-fedres-atlanta-ai-productivity-workforce-cfos.md",
        "summary": "\r\n# Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-03-fedres-atlanta-ai-productivity-workforce-cfos.pdf](/research/2026-03-fedres-atlanta-ai-productivity-workforce-cfos.pdf) · Raw extract (machine): [2026-03-fedres-atlanta-ai-productivity-workforce-cfos.md](/research/extracts/2026-03-fedres-atlanta-ai-productiv",
        "file": "research/2026-03-fedres-atlanta-ai-productivity-workforce-cfos.md"
      }
    },
    {
      "id": "2026-03-orebro-sweden-age-gradient",
      "type": "paper",
      "label": "Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring",
      "metadata": {
        "aliases": [
          "Same Storm, Different Boats",
          "Lodefalk et al 2026",
          "Sweden Age Gradient"
        ],
        "tags": [
          "sweden",
          "eu",
          "causal",
          "age-gradient",
          "hiring",
          "daioe-index",
          "working-paper"
        ],
        "date": "2026-03-16",
        "publisher": "Örebro University School of Business",
        "authors": "Magnus Lodefalk; Lydia Löthman; Michael Koch; Erik Engberg",
        "url": null,
        "source": "/research/2026-03-orebro-sweden-age-gradient.pdf",
        "extract": "/research/extracts/2026-03-orebro-sweden-age-gradient.md",
        "summary": "\r\n# Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-03-orebro-sweden-age-gradient.pdf](/research/2026-03-orebro-sweden-age-gradient.pdf) · Raw extract (machine): [2026-03-orebro-sweden-age-gradient.md](/research/extracts/2026-03-orebro-sweden-age-gradient.md)\r\n> Örebro Working Paper 2/2026 (Economics) — 16 March 2026 — Empirical s",
        "file": "research/2026-03-orebro-sweden-age-gradient.md"
      }
    },
    {
      "id": "2026-04-cbp-uk-labour-market-evidence",
      "type": "paper",
      "label": "AI and the UK labour market: the evidence so far",
      "metadata": {
        "aliases": [
          "CBP UK Evidence Review",
          "Serôdio 2026"
        ],
        "tags": [
          "uk",
          "descriptive",
          "evidence-review",
          "displacement",
          "augmentation",
          "wages",
          "hiring"
        ],
        "date": "2026-04-22",
        "publisher": "Centre for British Progress (Research UK Day One)",
        "authors": "Pedro Serôdio",
        "url": null,
        "source": "/research/2026-04-cbp-uk-labour-market-evidence.pdf",
        "extract": "/research/extracts/2026-04-cbp-uk-labour-market-evidence.md",
        "summary": "\r\n# AI and the UK labour market: the evidence so far\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-04-cbp-uk-labour-market-evidence.pdf](/research/2026-04-cbp-uk-labour-market-evidence.pdf) · Raw extract (machine): [2026-04-cbp-uk-labour-market-evidence.md](/research/extracts/2026-04-cbp-uk-labour-market-evidence.md)\r\n> Centre for British Progress — 22 April 2026 — UK evidence review, 36 pages\r",
        "file": "research/2026-04-cbp-uk-labour-market-evidence.md"
      }
    },
    {
      "id": "2026-04-gla-london-workforce-genai-exposure",
      "type": "paper",
      "label": "London's workforce exposure to generative artificial intelligence",
      "metadata": {
        "aliases": [
          "GLA Working Paper 103",
          "London Workforce GenAI Exposure",
          "Dwan-O'Reilly 2026"
        ],
        "tags": [
          "uk",
          "london",
          "government",
          "exposure",
          "ilo-framework",
          "age-gradient",
          "working-paper"
        ],
        "date": "2026-04",
        "publisher": "GLA Economics — Greater London Authority",
        "authors": "Jeff Dwan-O'Reilly",
        "url": null,
        "source": "/research/2026-04-gla-london-workforce-genai-exposure.pdf",
        "extract": "/research/extracts/2026-04-gla-london-workforce-genai-exposure.md",
        "summary": "\r\n# London's workforce exposure to generative artificial intelligence\r\n\r\n> [!info] Source\r\n> PDF (human): [2026-04-gla-london-workforce-genai-exposure.pdf](/research/2026-04-gla-london-workforce-genai-exposure.pdf) · Raw extract (machine): [2026-04-gla-london-workforce-genai-exposure.md](/research/extracts/2026-04-gla-london-workforce-genai-exposure.md)\r\n> GLA Economics — Working Paper 103 — April",
        "file": "research/2026-04-gla-london-workforce-genai-exposure.md"
      }
    },
    {
      "id": "topic-ai-tool-adoption",
      "type": "topic",
      "label": "AI tool adoption",
      "metadata": {}
    },
    {
      "id": "topic-workflow-integration",
      "type": "topic",
      "label": "Workflow integration",
      "metadata": {}
    },
    {
      "id": "topic-validation-oversight",
      "type": "topic",
      "label": "Validation & oversight",
      "metadata": {}
    },
    {
      "id": "topic-ai-tools",
      "type": "topic",
      "label": "ai-tools",
      "metadata": {}
    },
    {
      "id": "topic-augmentation",
      "type": "topic",
      "label": "augmentation",
      "metadata": {}
    },
    {
      "id": "topic-productivity",
      "type": "topic",
      "label": "productivity",
      "metadata": {}
    },
    {
      "id": "topic-guidance",
      "type": "topic",
      "label": "guidance",
      "metadata": {}
    },
    {
      "id": "finding-object-object",
      "type": "finding",
      "label": {
        "Productivity gains by task": "writing 59%, software 56%, IT support 44%, legal 34%, consulting 25%"
      },
      "metadata": {}
    },
    {
      "id": "finding-task-iteration-directive-use-dominate-observed-ai-interactions",
      "type": "finding",
      "label": "Task iteration + directive use dominate observed AI interactions",
      "metadata": {}
    },
    {
      "id": "topic-sector-switching",
      "type": "topic",
      "label": "Sector switching",
      "metadata": {}
    },
    {
      "id": "topic-role-pivots",
      "type": "topic",
      "label": "Role pivots",
      "metadata": {}
    },
    {
      "id": "topic-early-career-strategy",
      "type": "topic",
      "label": "Early-career strategy",
      "metadata": {}
    },
    {
      "id": "topic-career-transitions",
      "type": "topic",
      "label": "career-transitions",
      "metadata": {}
    },
    {
      "id": "topic-pivoting",
      "type": "topic",
      "label": "pivoting",
      "metadata": {}
    },
    {
      "id": "topic-early-career",
      "type": "topic",
      "label": "early-career",
      "metadata": {}
    },
    {
      "id": "finding-22-25-in-high-ai-exposure-occupations-5-5-in-sweden-by-2025h1",
      "type": "finding",
      "label": "22-25 in high-AI-exposure occupations -5.5% in Sweden by 2025H1",
      "metadata": {}
    },
    {
      "id": "topic-hard-to-replicate-human-skills",
      "type": "topic",
      "label": "Hard-to-replicate human skills",
      "metadata": {}
    },
    {
      "id": "topic-creativity-eq-complex-problem-solving",
      "type": "topic",
      "label": "Creativity, EQ, complex problem-solving",
      "metadata": {}
    },
    {
      "id": "topic-human-advantage",
      "type": "topic",
      "label": "human-advantage",
      "metadata": {}
    },
    {
      "id": "topic-judgement",
      "type": "topic",
      "label": "judgement",
      "metadata": {}
    },
    {
      "id": "topic-emotional-intelligence",
      "type": "topic",
      "label": "emotional-intelligence",
      "metadata": {}
    },
    {
      "id": "finding-validation-and-judgement-remain-scarce-in-observed-ai-usage",
      "type": "finding",
      "label": "Validation and judgement remain scarce in observed AI usage",
      "metadata": {}
    },
    {
      "id": "finding-high-stakes-judgement-and-client-interaction-are-the-protected-bucket",
      "type": "finding",
      "label": "High-stakes judgement and client interaction are the protected bucket",
      "metadata": {}
    },
    {
      "id": "topic-practical-career-advice",
      "type": "topic",
      "label": "Practical career advice",
      "metadata": {}
    },
    {
      "id": "topic-upskilling",
      "type": "topic",
      "label": "upskilling",
      "metadata": {}
    },
    {
      "id": "topic-rights",
      "type": "topic",
      "label": "rights",
      "metadata": {}
    },
    {
      "id": "finding-six-pillar-adaptation-framework",
      "type": "finding",
      "label": "Six-pillar adaptation framework",
      "metadata": {}
    },
    {
      "id": "topic-task-automation",
      "type": "topic",
      "label": "Task automation",
      "metadata": {}
    },
    {
      "id": "topic-workflow-design",
      "type": "topic",
      "label": "Workflow design",
      "metadata": {}
    },
    {
      "id": "topic-repetitive-tasks",
      "type": "topic",
      "label": "repetitive-tasks",
      "metadata": {}
    },
    {
      "id": "topic-automation",
      "type": "topic",
      "label": "automation",
      "metadata": {}
    },
    {
      "id": "finding-routine-clerical-share-down-2pp-over-3-years",
      "type": "finding",
      "label": "Routine clerical share down >2pp over 3 years",
      "metadata": {}
    },
    {
      "id": "finding-office-administrative-support-roles-show-most-negative-exposure",
      "type": "finding",
      "label": "Office & administrative support roles show most negative exposure",
      "metadata": {}
    },
    {
      "id": "topic-uk-employment-law",
      "type": "topic",
      "label": "UK employment law",
      "metadata": {}
    },
    {
      "id": "topic-redundancy",
      "type": "topic",
      "label": "Redundancy",
      "metadata": {}
    },
    {
      "id": "topic-worker-representation",
      "type": "topic",
      "label": "Worker representation",
      "metadata": {}
    },
    {
      "id": "topic-statutory",
      "type": "topic",
      "label": "statutory",
      "metadata": {}
    },
    {
      "id": "topic-acas",
      "type": "topic",
      "label": "acas",
      "metadata": {}
    },
    {
      "id": "topic-uk",
      "type": "topic",
      "label": "uk",
      "metadata": {}
    },
    {
      "id": "finding-pigouvian-automation-tax-is-the-only-theoretically-clean-fix",
      "type": "finding",
      "label": "Pigouvian automation tax is the only theoretically clean fix",
      "metadata": {}
    },
    {
      "id": "finding-active-labour-market-policies-retraining-funds-are-the-practical-lever",
      "type": "finding",
      "label": "Active labour market policies + retraining funds are the practical lever",
      "metadata": {}
    },
    {
      "id": "topic-skill-development",
      "type": "topic",
      "label": "Skill development",
      "metadata": {}
    },
    {
      "id": "topic-training-pathways",
      "type": "topic",
      "label": "Training pathways",
      "metadata": {}
    },
    {
      "id": "topic-fusion-skills",
      "type": "topic",
      "label": "Fusion skills",
      "metadata": {}
    },
    {
      "id": "topic-reskilling",
      "type": "topic",
      "label": "reskilling",
      "metadata": {}
    },
    {
      "id": "topic-skills",
      "type": "topic",
      "label": "skills",
      "metadata": {}
    },
    {
      "id": "finding-ai-skill-posting-wage-premium-3-3-4-in-us-uk",
      "type": "finding",
      "label": "AI-skill posting wage premium 3-3.4% in US/UK",
      "metadata": {}
    },
    {
      "id": "finding-fusion-skills-drive-realised-ai-productivity",
      "type": "finding",
      "label": "Fusion skills drive realised AI productivity",
      "metadata": {}
    },
    {
      "id": "topic-uk-employment",
      "type": "topic",
      "label": "UK employment",
      "metadata": {}
    },
    {
      "id": "topic-sectoral-projections",
      "type": "topic",
      "label": "Sectoral projections",
      "metadata": {}
    },
    {
      "id": "topic-graduate-hiring",
      "type": "topic",
      "label": "Graduate hiring",
      "metadata": {}
    },
    {
      "id": "topic-regional-impact",
      "type": "topic",
      "label": "Regional impact",
      "metadata": {}
    },
    {
      "id": "topic-macro",
      "type": "topic",
      "label": "macro",
      "metadata": {}
    },
    {
      "id": "topic-projections",
      "type": "topic",
      "label": "projections",
      "metadata": {}
    },
    {
      "id": "topic-charts",
      "type": "topic",
      "label": "charts",
      "metadata": {}
    },
    {
      "id": "finding-15-of-17-industries-project-workforce-decline-to-2030",
      "type": "finding",
      "label": "15 of 17 industries project workforce decline to 2030",
      "metadata": {}
    },
    {
      "id": "finding-net-job-loss-2-1m-by-2030",
      "type": "finding",
      "label": "Net job loss ≈ 2.1M by 2030",
      "metadata": {}
    },
    {
      "id": "finding-public-administration-admin-support-most-exposed",
      "type": "finding",
      "label": "Public Administration & Admin Support most exposed",
      "metadata": {}
    },
    {
      "id": "topic-ai-exposure",
      "type": "topic",
      "label": "AI exposure",
      "metadata": {}
    },
    {
      "id": "topic-personal-risk-assessment",
      "type": "topic",
      "label": "Personal risk assessment",
      "metadata": {}
    },
    {
      "id": "topic-calculator",
      "type": "topic",
      "label": "calculator",
      "metadata": {}
    },
    {
      "id": "topic-scoring-rubric",
      "type": "topic",
      "label": "scoring-rubric",
      "metadata": {}
    },
    {
      "id": "topic-exposure",
      "type": "topic",
      "label": "exposure",
      "metadata": {}
    },
    {
      "id": "topic-methodology",
      "type": "topic",
      "label": "methodology",
      "metadata": {}
    },
    {
      "id": "finding-industry-weighting-drives-10pp-range",
      "type": "finding",
      "label": "Industry weighting drives ~10pp range",
      "metadata": {}
    },
    {
      "id": "finding-repetitiveness-is-the-strongest-single-signal",
      "type": "finding",
      "label": "Repetitiveness is the strongest single signal",
      "metadata": {}
    },
    {
      "id": "finding-emotional-intelligence-is-the-strongest-protective-signal",
      "type": "finding",
      "label": "Emotional intelligence is the strongest protective signal",
      "metadata": {}
    },
    {
      "id": "method-weighted-additive-scoring",
      "type": "method",
      "label": "Weighted-additive scoring",
      "metadata": {}
    },
    {
      "id": "method-time-horizon-projection",
      "type": "method",
      "label": "Time-horizon projection",
      "metadata": {}
    },
    {
      "id": "topic-office-worker-strategy",
      "type": "topic",
      "label": "Office worker strategy",
      "metadata": {}
    },
    {
      "id": "topic-role-guide",
      "type": "topic",
      "label": "role-guide",
      "metadata": {}
    },
    {
      "id": "topic-admin",
      "type": "topic",
      "label": "admin",
      "metadata": {}
    },
    {
      "id": "topic-office",
      "type": "topic",
      "label": "office",
      "metadata": {}
    },
    {
      "id": "finding-most-exposed-demographic-to-ai-automation",
      "type": "finding",
      "label": "Most exposed demographic to AI automation",
      "metadata": {}
    },
    {
      "id": "topic-routine-clerical-work",
      "type": "topic",
      "label": "Routine clerical work",
      "metadata": {}
    },
    {
      "id": "topic-customer-service",
      "type": "topic",
      "label": "Customer service",
      "metadata": {}
    },
    {
      "id": "topic-data-entry",
      "type": "topic",
      "label": "Data entry",
      "metadata": {}
    },
    {
      "id": "topic-clerical",
      "type": "topic",
      "label": "clerical",
      "metadata": {}
    },
    {
      "id": "topic-customer-support",
      "type": "topic",
      "label": "customer-support",
      "metadata": {}
    },
    {
      "id": "topic-displacement",
      "type": "topic",
      "label": "displacement",
      "metadata": {}
    },
    {
      "id": "finding-highest-ai-exposure-tier",
      "type": "finding",
      "label": "Highest AI exposure tier",
      "metadata": {}
    },
    {
      "id": "finding-300k-londoners-in-highest-exposure-roles",
      "type": "finding",
      "label": "300k+ Londoners in highest-exposure roles",
      "metadata": {}
    },
    {
      "id": "topic-financial-analysis",
      "type": "topic",
      "label": "Financial analysis",
      "metadata": {}
    },
    {
      "id": "topic-compliance",
      "type": "topic",
      "label": "Compliance",
      "metadata": {}
    },
    {
      "id": "topic-insurance-underwriting",
      "type": "topic",
      "label": "Insurance underwriting",
      "metadata": {}
    },
    {
      "id": "topic-finance",
      "type": "topic",
      "label": "finance",
      "metadata": {}
    },
    {
      "id": "topic-banking",
      "type": "topic",
      "label": "banking",
      "metadata": {}
    },
    {
      "id": "finding-highest-near-term-productivity-gains-0-8-in-2025-2-in-2026",
      "type": "finding",
      "label": "Highest near-term productivity gains (~0.8% in 2025, >2% in 2026)",
      "metadata": {}
    },
    {
      "id": "finding-total-finance-analyst-roles-continue-to-grow-in-uk",
      "type": "finding",
      "label": "Total finance analyst roles continue to grow in UK",
      "metadata": {}
    },
    {
      "id": "finding-260k-jobs-projected-loss-by-2030-with-ai-scenario",
      "type": "finding",
      "label": "260k jobs projected loss by 2030 (with-AI scenario)",
      "metadata": {}
    },
    {
      "id": "topic-sector-level-ai-exposure",
      "type": "topic",
      "label": "Sector-level AI exposure",
      "metadata": {}
    },
    {
      "id": "topic-sectors",
      "type": "topic",
      "label": "sectors",
      "metadata": {}
    },
    {
      "id": "finding-tech-finance-professional-services-lead-exposure",
      "type": "finding",
      "label": "Tech, Finance, Professional Services lead exposure",
      "metadata": {}
    },
    {
      "id": "finding-healthcare-education-construction-least-exposed",
      "type": "finding",
      "label": "Healthcare, Education, Construction least exposed",
      "metadata": {}
    },
    {
      "id": "topic-software-development",
      "type": "topic",
      "label": "Software development",
      "metadata": {}
    },
    {
      "id": "topic-ai-ml-engineering",
      "type": "topic",
      "label": "AI/ML engineering",
      "metadata": {}
    },
    {
      "id": "topic-coding-assistants",
      "type": "topic",
      "label": "Coding assistants",
      "metadata": {}
    },
    {
      "id": "topic-tech",
      "type": "topic",
      "label": "tech",
      "metadata": {}
    },
    {
      "id": "topic-software",
      "type": "topic",
      "label": "software",
      "metadata": {}
    },
    {
      "id": "finding-5-800-uk-ai-companies-85-in-2-years",
      "type": "finding",
      "label": "5,800+ UK AI companies (+85% in 2 years)",
      "metadata": {}
    },
    {
      "id": "finding-ai-sector-employment-33-21k-jobs",
      "type": "finding",
      "label": "AI sector employment +33% (~21k jobs)",
      "metadata": {}
    },
    {
      "id": "finding-tech-job-postings-38-in-early-2024-for-ai-exposed",
      "type": "finding",
      "label": "Tech job postings -38% in early 2024 for AI-exposed",
      "metadata": {}
    },
    {
      "id": "finding-16-24-in-computer-programming-44-in-2024",
      "type": "finding",
      "label": "16-24 in computer programming -44% in 2024",
      "metadata": {}
    },
    {
      "id": "topic-research-drop-log",
      "type": "topic",
      "label": "Research drop log",
      "metadata": {}
    },
    {
      "id": "topic-site-change-tracking",
      "type": "topic",
      "label": "Site change tracking",
      "metadata": {}
    },
    {
      "id": "topic-meta",
      "type": "topic",
      "label": "meta",
      "metadata": {}
    },
    {
      "id": "topic-research-log",
      "type": "topic",
      "label": "research-log",
      "metadata": {}
    },
    {
      "id": "topic-audit-trail",
      "type": "topic",
      "label": "audit-trail",
      "metadata": {}
    },
    {
      "id": "finding-every-research-drop-logged-with-impact-list",
      "type": "finding",
      "label": "Every research drop logged with impact list",
      "metadata": {}
    },
    {
      "id": "author-inaki-aldasoro",
      "type": "author",
      "label": "Iñaki Aldasoro",
      "metadata": {}
    },
    {
      "id": "author-leonardo-gambacorta",
      "type": "author",
      "label": "Leonardo Gambacorta",
      "metadata": {}
    },
    {
      "id": "author-rozalia-pal",
      "type": "author",
      "label": "Rozalia Pal",
      "metadata": {}
    },
    {
      "id": "author-debora-revoltella",
      "type": "author",
      "label": "Debora Revoltella",
      "metadata": {}
    },
    {
      "id": "author-christoph-weiss",
      "type": "author",
      "label": "Christoph Weiss",
      "metadata": {}
    },
    {
      "id": "author-marcin-wolski",
      "type": "author",
      "label": "Marcin Wolski",
      "metadata": {}
    },
    {
      "id": "topic-eu",
      "type": "topic",
      "label": "eu",
      "metadata": {}
    },
    {
      "id": "topic-us",
      "type": "topic",
      "label": "us",
      "metadata": {}
    },
    {
      "id": "topic-central-bank",
      "type": "topic",
      "label": "central-bank",
      "metadata": {}
    },
    {
      "id": "topic-causal",
      "type": "topic",
      "label": "causal",
      "metadata": {}
    },
    {
      "id": "topic-firm-level",
      "type": "topic",
      "label": "firm-level",
      "metadata": {}
    },
    {
      "id": "topic-working-paper",
      "type": "topic",
      "label": "working-paper",
      "metadata": {}
    },
    {
      "id": "author-dsit-ai-and-future-of-work-unit",
      "type": "author",
      "label": "DSIT AI and Future of Work Unit",
      "metadata": {}
    },
    {
      "id": "author-ai-security-institute",
      "type": "author",
      "label": "AI Security Institute",
      "metadata": {}
    },
    {
      "id": "topic-government",
      "type": "topic",
      "label": "government",
      "metadata": {}
    },
    {
      "id": "topic-evidence-review",
      "type": "topic",
      "label": "evidence-review",
      "metadata": {}
    },
    {
      "id": "topic-hiring",
      "type": "topic",
      "label": "hiring",
      "metadata": {}
    },
    {
      "id": "topic-policy",
      "type": "topic",
      "label": "policy",
      "metadata": {}
    },
    {
      "id": "author-florence-jaumotte",
      "type": "author",
      "label": "Florence Jaumotte",
      "metadata": {}
    },
    {
      "id": "author-jaden-kim",
      "type": "author",
      "label": "Jaden Kim",
      "metadata": {}
    },
    {
      "id": "author-david-koll",
      "type": "author",
      "label": "David Koll",
      "metadata": {}
    },
    {
      "id": "author-elmer-z-li",
      "type": "author",
      "label": "Elmer Z. Li",
      "metadata": {}
    },
    {
      "id": "author-longji-li",
      "type": "author",
      "label": "Longji Li",
      "metadata": {}
    },
    {
      "id": "author-giovanni-melina",
      "type": "author",
      "label": "Giovanni Melina",
      "metadata": {}
    },
    {
      "id": "author-alina-song",
      "type": "author",
      "label": "Alina Song",
      "metadata": {}
    },
    {
      "id": "author-marina-m-tavares",
      "type": "author",
      "label": "Marina M. Tavares",
      "metadata": {}
    },
    {
      "id": "topic-cross-country",
      "type": "topic",
      "label": "cross-country",
      "metadata": {}
    },
    {
      "id": "topic-multilateral",
      "type": "topic",
      "label": "multilateral",
      "metadata": {}
    },
    {
      "id": "topic-polarisation",
      "type": "topic",
      "label": "polarisation",
      "metadata": {}
    },
    {
      "id": "topic-wages",
      "type": "topic",
      "label": "wages",
      "metadata": {}
    },
    {
      "id": "topic-lightcast",
      "type": "topic",
      "label": "lightcast",
      "metadata": {}
    },
    {
      "id": "author-maxim-massenkoff",
      "type": "author",
      "label": "Maxim Massenkoff",
      "metadata": {}
    },
    {
      "id": "author-peter-mccrory",
      "type": "author",
      "label": "Peter McCrory",
      "metadata": {}
    },
    {
      "id": "topic-descriptive",
      "type": "topic",
      "label": "descriptive",
      "metadata": {}
    },
    {
      "id": "topic-exposure-measure",
      "type": "topic",
      "label": "exposure-measure",
      "metadata": {}
    },
    {
      "id": "topic-age-gradient",
      "type": "topic",
      "label": "age-gradient",
      "metadata": {}
    },
    {
      "id": "topic-anthropic",
      "type": "topic",
      "label": "anthropic",
      "metadata": {}
    },
    {
      "id": "author-brett-hemenway-falk",
      "type": "author",
      "label": "Brett Hemenway Falk",
      "metadata": {}
    },
    {
      "id": "author-gerry-tsoukalas",
      "type": "author",
      "label": "Gerry Tsoukalas",
      "metadata": {}
    },
    {
      "id": "topic-theoretical",
      "type": "topic",
      "label": "theoretical",
      "metadata": {}
    },
    {
      "id": "topic-arxiv",
      "type": "topic",
      "label": "arxiv",
      "metadata": {}
    },
    {
      "id": "topic-automation-tax",
      "type": "topic",
      "label": "automation-tax",
      "metadata": {}
    },
    {
      "id": "topic-demand-externality",
      "type": "topic",
      "label": "demand-externality",
      "metadata": {}
    },
    {
      "id": "author-salome-baslandze",
      "type": "author",
      "label": "Salomé Baslandze",
      "metadata": {}
    },
    {
      "id": "author-zachary-edwards",
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