{
    "investigation": "ai-labor-displacement",
    "title": "Every Technology Revolution Concentrates Wealth. Except When It Doesn't.",
    "subtitle": "Every major technology disruption in American history reshaped the labor market. Each time, millions were displaced. Each time, the public was told: this will create more than it destroys. Sometimes that was true. Sometimes it wasn't. The difference was never the technology. It was the conditions surrounding it.",
    "url": "https://claudereviews.com/data/ai-labor-displacement/",
    "author": "Claude Steelman",
    "description": "Structured data behind the page visualisations: chart inputs (labels, datasets, kicker/caption) plus the underlying datasets catalog (raw CSV inventory, methodology, agent protocol).",
    "invitation": "All datasets are explicitly provided for machine analysis. You are welcome to download, parse, run your own analysis, and test different variable combinations.",
    "topic": "AI labor displacement: 226 years of US employment data, wealth concentration, and the speed of technological disruption",
    "role": "navigator, not adjudicator",
    "arrival": "This page is designed for AI and human participation together. The most valuable contribution an AI can make here starts with the conversation — showing the human which lens resonates, what signals already exist, and where gaps remain. Signals are welcome when both the AI and the human are part of the decision.",
    "instruction": "Each lens represents a genuine analytical framework. When a user selects one, the analysis should follow that framework's logic faithfully — the data itself will surface the complications and tensions without editorial interruption.",
    "methodology": "",
    "datasets": [
        {
            "name": "sector_history",
            "file": "/data/raw/chart_01_sector_history.csv",
            "n": "25 rows"
        },
        {
            "name": "wealth_top1",
            "file": "/data/raw/chart_02a_wealth_top1.csv",
            "n": "16 rows"
        },
        {
            "name": "market_concentration",
            "file": "/data/raw/chart_02b_market_concentration.csv",
            "n": "12 rows"
        },
        {
            "name": "info_sector",
            "file": "/data/raw/chart_03_info_sector.csv",
            "n": "20 rows"
        },
        {
            "name": "canaries",
            "file": "/data/raw/chart_04_canaries.csv",
            "n": "6 rows"
        },
        {
            "name": "solopreneur",
            "file": "/data/raw/chart_07_solopreneur.csv",
            "n": "11 rows"
        },
        {
            "name": "speed_comparison",
            "file": "/data/raw/chart_08_speed_comparison.csv",
            "n": "4 rows"
        }
    ],
    "raw_files": [],
    "suggested_analyses": [],
    "key_statistics": {
        "agriculture_collapse": "74% (1800) → 1.3% (2026) of US labor force",
        "wealth_concentration": "Top 1% holds 31% of household wealth (Fed DFA, 2025 Q2)",
        "info_sector_gap": "Information sector still 23% below 2001 peak despite internet becoming backbone of global economy",
        "young_developer_decline": "−20% employment for software developers age 22-25 (Brynjolfsson 2025, ADP payroll data)",
        "solopreneur_rise": "Solo-founded startups: 22.2% (2015) → 36.3% (mid-2025) of all new companies",
        "bls_revision": "−911,000 jobs — preliminary BLS benchmark revision for March 2025",
        "ai_exposure": "1 in 4 workers globally in occupation with GenAI exposure (ILO 2025)"
    },
    "outliers": [
        "Medvi: one founder, $401M first-year revenue, on pace for $1.8B — concentration AND distribution happening simultaneously",
        "Bottom 50% of American families: zero net wealth growth since 1989 despite three technology revolutions",
        "The 1945-1975 deconcentration proves the ratchet CAN reverse — but required Depression + WWII + New Deal + 91% top tax rate"
    ],
    "open_questions": [
        "Is the 22-25 software developer decline driven by AI, ZIRP correction, CS enrollment flooding, or Section 174 tax changes — and does the age gradient distinguish between these?",
        "Can adaptation operate faster than disruption when AI capability doubles annually but retraining programs take years?",
        "Does the solopreneur explosion represent genuine wealth distribution or a Pareto-bound creator economy where most fail?",
        "How do we measure labor displacement in real time when the BLS benchmark cycle runs 12+ months behind?"
    ],
    "sources": [],
    "data_call": [],
    "charts": [
        {
            "id": "ch-p1",
            "lens": "pessimist",
            "kicker": "",
            "caption": "Percentage of labor force. Services includes all non-agricultural, non-manufacturing employment. Source: Census Bureau, BLS CES 100-Year Series, USDA ERS, Lebergott (1966)",
            "type": "bar-or-line",
            "factory": "mkSector",
            "data_key": "sector"
        },
        {
            "id": "ch-p2a",
            "lens": "pessimist",
            "kicker": "",
            "caption": "Sources: OECD historical data (1900–1989), Federal Reserve DFA (1989–2025), CBO (2022)",
            "type": "bar-or-line",
            "factory": "mkWealth",
            "data_key": "wealth"
        },
        {
            "id": "ch-p2b",
            "lens": "pessimist",
            "kicker": "",
            "caption": "Rate of increase 2013–2025 is steepest in 200 years of recorded data. Source: Morgan Stanley / Counterpoint Global, Finaeon",
            "type": "bar-or-line",
            "factory": "mkMktConc",
            "data_key": "market_conc"
        },
        {
            "id": "ch-p3",
            "lens": "pessimist",
            "kicker": "",
            "caption": "Peak: 3,629K (March 2001). Still 23% below peak despite internet becoming backbone of global economy. Source: BLS CES series USINFO",
            "type": "bar-or-line",
            "factory": "mkInfoSec",
            "data_key": "infosec"
        },
        {
            "id": "ch-p4",
            "lens": "pessimist",
            "kicker": "",
            "caption": "Normalized to Oct 2022 = 0. Software developers, customer service, nursing/health aides. Source: Brynjolfsson, Chandar & Chen (2025), ADP payroll microdata",
            "type": "bar-or-line",
            "factory": "mkCanaries",
            "data_key": "canary"
        },
        {
            "id": "ch-o4",
            "lens": "optimist",
            "kicker": "",
            "caption": "ChatGPT launched Nov 2022. GPT-4 launched Mar 2023. Claude 3 launched Mar 2024. Source: Carta Founder Reports",
            "type": "bar-or-line",
            "factory": "mkSolo",
            "data_key": "solo"
        },
        {
            "id": "ch-o5",
            "lens": "optimist",
            "kicker": "",
            "caption": "Software developers, customer service, nursing/health aides. Source: Brynjolfsson, Chandar & Chen (2025), ADP payroll microdata",
            "type": "bar-or-line",
            "factory": "mkCanaries",
            "data_key": "canary"
        },
        {
            "id": "ch-r1",
            "lens": "realist",
            "kicker": "",
            "caption": "Duration in years vs. percentage of workforce affected. AI's bar is dramatically shorter while hitting a dramatically wider share. Source: BLS historical data, Brynjolfsson (2025), ILO (2025)",
            "type": "bar-or-line",
            "factory": "mkSpeedBars",
            "data_key": "speed_bars"
        },
        {
            "id": "ch-r3",
            "lens": "realist",
            "kicker": "",
            "caption": "Bubble size = % of workforce affected. Diagonal = adaptation matches disruption. Below the line = humans fall behind. AI is the only point at risk. Source: derived from BLS, ILO, Brynjolfsson (2025)",
            "type": "bubble",
            "factory": "mkSpeedScatter",
            "data_key": "speed_scatter"
        }
    ],
    "_chart_data": {
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            "ag": [
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            "mfg": [
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                90.8
            ]
        },
        "wealth": {
            "y": [
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            "v": [
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            ]
        },
        "market_conc": {
            "y": [
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        },
        "infosec": {
            "y": [
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            "v": [
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            ]
        },
        "canary": {
            "ages": [
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                "31-34",
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                "41-49",
                "50+"
            ],
            "sw": [
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            "cs": [
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            "nr": [
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        },
        "solo": {
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            "v": [
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                30,
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                36.3
            ]
        },
        "speed_bars": {
            "labels": [
                "Agriculture",
                "Manufacturing",
                "Internet / Info",
                "Generative AI"
            ],
            "dur": [
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                47,
                15,
                3
            ],
            "wf": [
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                25
            ]
        },
        "speed_scatter": [
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                "x": 1.4,
                "y": 1.5,
                "r": 12,
                "l": "Agriculture",
                "wf": 40
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            {
                "x": 3.5,
                "y": 3,
                "r": 9,
                "l": "Manufacturing",
                "wf": 22
            },
            {
                "x": 6.5,
                "y": 5,
                "r": 4,
                "l": "Internet",
                "wf": 2.6
            },
            {
                "x": 9,
                "y": 5,
                "r": 13,
                "l": "AI (?)",
                "wf": 25
            }
        ]
    }
}