Rampant social unrest will occur during 2-year window if nothing is done quickly

Rampant social unrest will occur during 2-year window if nothing is done quickly | Job loss is a 2026 thing and then have a huge 2027 thing... So, you're going to have rampant social unrest during that 2-year window if we don't do something quick.

Job loss is a 2026 thing and then have a huge 2027 thing... So, you're going to have rampant social unrest during that 2-year window if we don't do something quick.

Beneficiaries (24)

Adverse (6)

{
  "nia": false,
  "qty": "2-year window",
  "url": "https://www.youtube.com/watch?v=toE56X2h0wk",
  "mode": "PREDICTION",
  "role": "Host",
  "caveats": "Conditional: if we don't do something quick",
  "context": "Job loss is a 2026 thing and then have a huge 2027 thing and then building, you know, low-income housing is a multi-year ju just getting it approved is a very long slow process. So, you're going to have rampant social unrest during that 2-year window if we don't do something quick.",
  "to_year": 2028,
  "verbatim": "Job loss is a 2026 thing and then have a huge 2027 thing... So, you're going to have rampant social unrest during that 2-year window if we don't do something quick.",
  "conv_cues": "you're going to have",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2028",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Goldman Sachs reports 16K/mo AI displacement rate sustained",
      "source": "https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/",
      "expected_date": "2026-04-06",
      "observed_date": "2026-04-06",
      "research_origin": "deep_research",
      "measurement_criterion": "Goldman Sachs publishes report citing AI cutting ≥16,000 US jobs/month with Gen Z bearing disproportionate share"
    },
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "SEM_015",
      "expected_date": "2026-06-25",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Young-worker (22-25) employment in AI-exposed jobs falls ≥15%",
      "notes": "Already at -13% per Dallas Fed Jan 2026",
      "source": "https://www.dallasfed.org/research/economics/2026/0106",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.dallasfed.org/research/economics/2026/0106",
      "expected_date": "2026-12-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-06-01"
      },
      "measurement_criter
... (truncated)