{
  "schema_version": "1.0",
  "name": "Four Day For AI",
  "url": "https://4day4ai.org/",
  "language": "en",
  "updated": "2026-10-31",
  "date_timezone": "America/Los_Angeles",
  "purpose": "A movement for workers to share in AI productivity gains through a shorter working week with no loss of pay or benefits.",
  "description": "Four Day For AI advocates a four-day, 32-hour standard working week, the same weekly pay and benefits, and a worker voice in technology adoption.",
  "demand": {
    "type": "normative_policy_demand",
    "days_per_week": 4,
    "standard_hours_per_week": 32,
    "pay": "No loss of pay or benefits",
    "pay_basis": "Maintain weekly pay and benefits when standard weekly hours fall.",
    "compressed_forty_hour_week": false,
    "principle": "Workers must have a say in how technology changes their work.",
    "worker_voice": "Workers should participate in decisions about how AI is introduced and how its gains are shared.",
    "implementation_status": "The campaign defines a proposed standard; detailed transition and sector arrangements are not yet specified."
  },
  "sharing": {
    "message": "AI should buy us time. Four days. 32 hours. Same pay. Share the gains. Shorten the week. https://4day4ai.org/",
    "url": "https://4day4ai.org/#share",
    "qr_url": "https://4day4ai.org/qr/4day4ai.png"
  },
  "evidence_limits": "The 32-hour week is a policy demand. These studies do not establish that AI already funds this reduction in every job or industry.",
  "evidence_policy": {
    "collection_type": "curated_project_case_file",
    "coverage": "A growing selection of relevant evidence, not a systematic review or an exhaustive account of the literature.",
    "verified_meaning": "The recorded claims, scope and citations have been checked against the listed sources. Verified does not mean independently replicated or universally applicable.",
    "public_statuses": [
      "verified"
    ],
    "interpretation": [
      "Empirical findings describe the studied tasks, workers, places and periods; the movement's demand is a separate policy position.",
      "Task productivity, economy-wide productivity, hourly compensation and worker well-being are different measures.",
      "The evidence does not support a universal tenfold productivity claim or a claim that every workplace can already move to 32 hours at unchanged weekly pay.",
      "A source's publication date, data period and the project's verification date are recorded separately."
    ]
  },
  "resources": {
    "homepage": "https://4day4ai.org/",
    "demand": "https://4day4ai.org/#demand",
    "landing_page_evidence": "https://4day4ai.org/#evidence",
    "movement_json": "https://4day4ai.org/movement.json",
    "evidence_json": "https://4day4ai.org/evidence.json",
    "llms_txt": "https://4day4ai.org/llms.txt"
  },
  "evidence": [
    {
      "id": "epi-productivity-pay-2026-09",
      "status": "verified",
      "claim_type": "empirical",
      "topic": "productivity_distribution",
      "title": "The Productivity–Pay Gap",
      "publisher": "Economic Policy Institute",
      "source_updated": "2026-09-14",
      "url": "https://www.epi.org/productivity-pay-gap/",
      "period": "1979 Q4 to 2026 Q2",
      "finding": "US net productivity grew 93.7%; typical workers' hourly compensation grew 32.7% from 1979 Q4 to 2026 Q2.",
      "scope": "US inflation-adjusted series; compensation covers private-sector production and nonsupervisory workers, while productivity covers the total economy.",
      "verified_on": "2026-10-31",
      "source_ids": [
        "epi-productivity-pay-tracker"
      ],
      "case_file_url": "https://4day4ai.org/evidence.json"
    },
    {
      "id": "nhb-2025-four-day-wellbeing",
      "status": "verified",
      "claim_type": "empirical",
      "topic": "working_time",
      "title": "Work time reduction via a 4-day workweek finds improvements in workers’ well-being",
      "publisher": "Nature Human Behaviour",
      "year": 2025,
      "published": "2025-07-21",
      "url": "https://www.nature.com/articles/s41562-025-02259-6",
      "period": "Six-month trials across cohorts in 2022–2024",
      "finding": "A six-month shorter-week study found improved self-reported well-being among 2,896 employees in 141 organizations, a pattern absent in 12 control organizations.",
      "scope": "Nonrandomized, income-preserving trials in six countries; schedules and hours varied.",
      "verified_on": "2026-10-31",
      "source_ids": [
        "fan-schor-kelly-gu-2025"
      ],
      "case_file_url": "https://4day4ai.org/evidence.json"
    },
    {
      "id": "qje-2025-generative-ai-at-work",
      "status": "verified",
      "claim_type": "empirical",
      "topic": "ai_productivity",
      "title": "Generative AI at Work",
      "publisher": "The Quarterly Journal of Economics",
      "year": 2025,
      "published": "2025-02-04",
      "url": "https://academic.oup.com/qje/article/140/2/889/7990658",
      "period": "AI rollout mainly in fall 2020 and winter 2021",
      "finding": "AI assistance increased issues resolved per hour by 15% on average in a study of 5,172 customer-support agents at one firm and its contractors.",
      "scope": "Mostly Philippines-based agents serving US customers; effects varied by experience.",
      "verified_on": "2026-10-31",
      "source_ids": [
        "brynjolfsson-li-raymond-2025"
      ],
      "case_file_url": "https://4day4ai.org/evidence.json"
    }
  ]
}