Uber platform workers in 2035 may be doing different kinds of tasks

Uber platform workers in 2035 may be doing different kinds of tasks | They may be doing different kinds of tasks, but there will be plenty of work to go around on our platform.

They may be doing different kinds of tasks, but there will be plenty of work to go around on our platform.

Beneficiaries (23)

Adverse (6)

{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=Mh9yC4j0_rI",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "caveats": "'May be'",
  "context": "They may be doing different kinds of tasks, but there will be plenty of work to go around on our platform.",
  "to_year": 2035,
  "verbatim": "They may be doing different kinds of tasks, but there will be plenty of work to go around on our platform.",
  "conv_cues": "may be",
  "direction": "HAPPEN",
  "from_year": 2035,
  "timeframe": "By 2035",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "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": -10,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "234_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic will exceed OpenAI in revenue this year (2026).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "235_002",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Uber AI Solutions / Digital Tasks gig program reaches >=1M active US contractors",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.aol.com/articles/uber-testing-program-pays-gig-135731576.html",
      "expected_date": "2026-12-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Uber public disclosure or 10-Q filing referencing >=1M US drivers/contractors performing AI-data tasks"
    },
    {
      "kind": "llm_pre_event",
      "label": "Uber Autonomous Solutions launches paid robotaxi-fleet supervisor role for human contractors",
      "source": "llm_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-08-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Uber announces a contractor role for remote supervision/teleoperation of robotaxi fleets with public hiring listings or pilot program"
    },
    {
      "kind": "prereq",
      "label": "Stargate is a $500 billion multiyear capex program for distributed AI data-center construction (2025-2028, with Trump administration partner",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_005",
      "expected_date": "2028-02-09",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Non-driving tasks exceed 25% of Uber contractor hours",
      "source": "llm_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2029-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2030-12-31",
        "from": "2028-01-01"
      },
      "measurement_criterion": "Uber disclosure (annual repo
... (truncated)