Filing excerpt
We may also face greater competition from non-specialist solutions relying on generic large language models (“LLMs”), generative AI, and general-purpose agents to address a broad range of business needs.
The rise of general-purpose AI tools is a direct threat to Workday's specialized applications, creating pressure to accelerate their own AI development and differentiation. This competitive threat justifies significant spending on advanced AI/ML infrastructure, MLOps platforms, and unique data sources to maintain their market position.
Filing excerpt
We may also face greater competition from non-specialist solutions relying on generic large language models (“LLMs”), generative AI, and general-purpose agents to address a broad range of business needs.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Competitors
Competitors named
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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 APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/0352f74f-de00-4c92-add5-de13314a4b95 returns this record as JSON. POST /v1/companies/enrich returns every signal for workday.com.
{
"signal_id": "0352f74f-de00-4c92-add5-de13314a4b95",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-03-10T06:43:34.392+00:00",
"company": {
"name": "Workday",
"domain": "workday.com"
},
"data": {
"detail": "The rise of general-purpose AI tools is a direct threat to Workday's specialized applications, creating pressure to accelerate their own AI development and differentiation. This competitive threat justifies significant spending on advanced AI/ML infrastructure, MLOps platforms, and unique data sources to maintain their market position.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Facing intense competitive pressure from generic LLMs and non-specialist AI solutions",
"excerpts": "We may also face greater competition from non-specialist solutions relying on generic large language models (“LLMs”), generative AI, and general-purpose agents to address a broad range of business needs.",
"relevance": 0.8,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
"filing_date": "2026-03-06",
"filing_year": 2026,
"fiscal_year_end": "01/31",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"competitors_mentioned": [
"Oracle",
"SAP",
"Anaplan, Inc.",
"ADP",
"Coupa Software Inc.",
"Dayforce, Inc.",
"Microsoft",
"ServiceNow, Inc."
],
"technologies_mentioned": [
"AI",
"generative AI",
"LLMs"
]
}
}
curl https://signals.autobound.ai/v1/signals/0352f74f-de00-4c92-add5-de13314a4b95 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"workday.com","limit":20}'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.