Will AI be the #1 reason for job cuts in May? [ resolves 2026-06-11 (8D) ]

Will “Artificial Intelligence” be the #1 reason for job cuts in Challenger’s May 2026 report?

kalshi: [A] single source·objective outcome methodology ›

markets · by resolution date

kalshi 1 market

market	resolves	P(YES)		vol (24h)	vol (cum)		RCG	venue id
1	2026-06-11	69.0%		$889	$21K		A	`KXCHAICUTS-2…-T1`

resolution architecture

venue	proposer	source	citation	arbitration	class	analyst notes
kalshi	`Exchange Staff`	Bureau of Labor Statistics- Employment Situation	link	`Kalshi Staff`	`Other`	—

verbatim rules

kalshi 1 market · share this text

If Artificial Intelligence is the reason with the highest number of job cuts in Table 4: Job Cuts by Reason in the Challenger, Gray & Christmas Job Cut Announcement Report for May 2026, then the market resolves to Yes. For purposes of this market, “AI” refers to the row labeled “Artificial Intelligence” in Table 4. The market will use the initially published May 2026 Challenger Job Cut Announcement Report, regardless of later revisions, corrections, or updates. If Artificial Intelligence is tied for the highest number of job cuts among reasons in Table 4, the market resolves to Yes. The Underlying is the May 2026 column of Challenger’s "Table 4: Job Cuts by Reason” table. The YTD column will not be used for settlement. If Challenger does not publish Table 4 or does not include a comparable “Job Cuts by Reason” table in the May 2026 report, the Exchange will use the most directly comparable reason-level job-cut table or statement published by Challenger for the May 2026 report. If no comparable reason-level data is published by Challenger for May 2026, the market resolves to No.

platform source field kalshi.settlement_sources → "Bureau of Labor Statistics- Employment Situation" ↗

recent wire items

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programmatic access · four surfaces, same payload

AI grounded search reads embedded JSON-LD in HTML. Developers query REST. Agentic AI clients (Claude Desktop, Cursor) call MCP tools. AI crawlers index via /llms.txt. Same canonical record at every surface.

HTML	browsers, AI grounded search, crawlers (embedded JSON-LD `@type: Dataset`)	`https://clearmarket.fyi/events/kxchaicuts-26jun04/`
JSON	REST API for developers	`https://api.clearmarket.fyi/v1/events/kxchaicuts-26jun04.json`
MCP	agentic AI tool call (Claude Desktop, Cursor, Continue)	`clearmarket.get_event("kxchaicuts-26jun04")`
AGENT	AI crawler discovery index	`/llms.txt`

 Snapshot 2026-06-03. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.
  raw JSON record · same payload returned by REST endpoint
 {
  "event_id": "CM-EVT-7W2VM0B214",
  "slug": "kxchaicuts-26jun04",
  "question": "Will AI be the #1 reason for job cuts in May?",
  "category": "economics",
  "tags": [
    "economics",
    "ai-employment",
    "job-cuts",
    "economic-indicators",
    "challenger-report",
    "may-2026"
  ],
  "venues_covered": [
    "kalshi"
  ],
  "market_count": 1,
  "cumulative_volume_usd": 21338,
  "resolution_clarity_grade": "A",
  "rcg_score": 100,
  "rcg_caps": [],
  "resolution_source": "Bureau of Labor Statistics- Employment Situation",
  "resolution_source_url": "https://www.bls.gov/news.release/empsit.nr0.htm",
  "arbitration_model": "kalshi_staff",
  "proposer_model": "platform_staff",
  "field_provenance": {
    "question": {
      "source": "clearmarket_editorial"
    },
    "tags": {
      "source": "clearmarket_editorial",
      "ai_drafted": true
    },
    "resolution_clarity_grade": {
      "source": "derived",
      "method": "rcg_v2_7factor"
    },
    "venues_covered": {
      "source": "derived"
    }
  }
}

snapshot 2026-06-03T14:52:43.794845+00:00 schema v0.2.0-universe all events →