Skip to main content
AIG10-K: Data investment

AIG's U.S. Excess Casualty reserves face a potential $1.15B increase due to tail factor sensitivity.

What happened

The company's reserves for long-tail U.S. Excess Casualty business are highly sensitive to actuarial assumptions, with a 3.5 percentage point change in the tail factor potentially increasing reserves by $1.15 billion. This massive financial exposure highlights a critical need for advanced predictive analytics and modeling to improve forecasting accuracy.

Source

SEC EDGARFeb 12, 2026

Annual report (Form 10-K)

AIG 10-K for FY2025

Filing excerpt

Given the very long-tail nature of this business, the tail factor selection can also have material impact on our carried reserves.

sec.gov/Archives/edgar/data/5272/000000527226000023/aig-20251231.htmRead the full source

Other signals in this filing (3)

Extracted by Autobound

From the Signal API record
Signal
10-K: Data investment

What this signalsFilings often name leadership changes, deals and spending plans.

Period
FY2025
Fiscal year end
12/31
Filed
Feb 12, 2026

More 10-K signals at other companies

The full record

From the Signal API record

Numbers

Dollar figure
$1.1B (Potential increase to loss reserves for U.S. Excess Casualty)
Percent
3.5% (Increase in tail factor assumption)

Details

CIK
5272
Accession number
0000005272-26-000023
Timeframe
Current year
Filing year
2026
Why it matters
Target for data vendors
Signal category
Technology

Topics and mentions

Regions named

  • U.S.

Extraction

Confidence
High
Relevance
90%
Sentiment
Negative
Detected
Feb 17, 2026
signal_type
sec-10k
signal_subtype
dataInvestment

Use this data

Get every 10-K signal for AIG and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at AIG this week?”

  2. Send it to your own tools

    The Signal API returns 10-K signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/e9580f9d-65f9-4f7c-8fc5-ca5e487047ca returns this record as JSON. POST /v1/companies/enrich returns every signal for aig.com.

{
  "signal_id": "e9580f9d-65f9-4f7c-8fc5-ca5e487047ca",
  "signal_type": "sec-10k",
  "signal_subtype": "dataInvestment",
  "detected_at": "2026-02-17T06:32:01.587+00:00",
  "company": {
    "name": "AIG",
    "domain": "aig.com"
  },
  "data": {
    "detail": "The company's reserves for long-tail U.S. Excess Casualty business are highly sensitive to actuarial assumptions, with a 3.5 percentage point change in the tail factor potentially increasing reserves by $1.15 billion. This massive financial exposure highlights a critical need for advanced predictive analytics and modeling to improve forecasting accuracy.",
    "metrics": {
      "pct": 0.035,
      "timeframe": "current_year",
      "pct_context": "Increase in tail factor assumption",
      "dollar_context": "Potential increase to loss reserves for U.S. Excess Casualty",
      "dollar_millions": 1150
    },
    "summary": "AIG's U.S. Excess Casualty reserves face a potential $1.15B increase due to tail factor sensitivity.",
    "excerpts": "Given the very long-tail nature of this business, the tail factor selection can also have material impact on our carried reserves.",
    "relevance": 0.9,
    "sentiment": "negative",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/5272/000000527226000023/aig-20251231.htm",
    "filing_date": "2026-02-12",
    "filing_year": 2026,
    "fiscal_year_end": "12/31",
    "sales_relevance": "Target for data vendors",
    "signal_category": "technology",
    "regions_mentioned": [
      "U.S."
    ]
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.