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Eaton10-K: AI investment

Exploring AI for internal efficiencies while navigating security, compliance, and IP risks.

Source

SEC EDGARFeb 26, 2026

Annual report (Form 10-K)

Eaton 10-K for FY2025

Filing excerpt

Recent technological advances in artificial intelligence (AI) and machine-learning technology have presented opportunities for us to drive internal efficiencies in our business operations, but they also pose risks to us.

sec.gov/Archives/edgar/data/1551182/000155118226000007/etn-20251231.htmRead the full source

Other signals in this filing (11)

Extracted by Autobound

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

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

Period
FY2025
Fiscal year end
12/31
Filed
Feb 26, 2026

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The full record

From the Signal API record

Details

CIK
1551182
Accession number
0001551182-26-000007
Timeframe
Current year
Filing year
2026
Why it matters
Target for AI vendors
Signal category
Technology

Topics and mentions

Technologies

  • AI
  • machine-learning
  • generative AI

Extraction

Confidence
Medium
Relevance
70%
Sentiment
Neutral
Detected
Mar 3, 2026
signal_type
sec-10k
signal_subtype
aiInvestment

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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/55f977a7-af8a-4118-97a3-096879f3f5b8 returns this record as JSON. POST /v1/companies/enrich returns every signal for eaton.com.

{
  "signal_id": "55f977a7-af8a-4118-97a3-096879f3f5b8",
  "signal_type": "sec-10k",
  "signal_subtype": "aiInvestment",
  "detected_at": "2026-03-03T05:50:18.52+00:00",
  "company": {
    "name": "Eaton",
    "domain": "eaton.com"
  },
  "data": {
    "detail": "Eaton sees opportunities to use AI and machine learning to drive business efficiencies but is also concerned about the associated risks like IP leakage, compliance, and security. This presents a dual opportunity for vendors offering AI platforms and those providing AI governance and security solutions.",
    "metrics": {
      "timeframe": "current_year"
    },
    "summary": "Exploring AI for internal efficiencies while navigating security, compliance, and IP risks.",
    "excerpts": "Recent technological advances in artificial intelligence (AI) and machine-learning technology have presented opportunities for us to drive internal efficiencies in our business operations, but they also pose risks to us.",
    "relevance": 0.7,
    "sentiment": "neutral",
    "confidence": "medium",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1551182/000155118226000007/etn-20251231.htm",
    "filing_date": "2026-02-26",
    "filing_year": 2026,
    "fiscal_year_end": "12/31",
    "sales_relevance": "Target for AI vendors",
    "signal_category": "technology",
    "technologies_mentioned": [
      "AI",
      "machine-learning",
      "generative AI"
    ]
  }
}

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