GOLDMAN SACHS GROUP INC

GS · NYSE · $267B · 557 AI queries on Origin

Not investment advice. Origin reports data from public SEC filings with cryptographic provenance. No buy/sell/hold recommendations. Past performance does not indicate future results.
2
Observations
2
Chain Length
557
AI Queries

Filing Inventory

Form TypeCount
8-K27
10-Q5
10-K1
DEF 14A1

Recent Filings

TypeFiledAccession
8-K2026-10-130000886982-26-000529
8-K2026-08-110001193125-26-344912
10-Q2026-08-030000886982-26-000297
8-K2026-07-270001193125-26-318147
8-K2026-07-210001193125-26-310408

Filing Signals

Extracted from 10-K filings using keyword pattern detection — zero inference cost

SignalMatches
risk factor
496
ai adoption
60
platform shift
26
strategic event
23
margin pressure
13
backlog growth
5
restructuring
1
$${latestQuote.close}
Last Close (2026-10-09)
0
Transcripts
34
Total Filings
www.goldmansachs.com
IR Domain

Try it — paste this into your AI:

Look up GS using the MCP server at origin.rootz.global/mcp. What do their latest SEC filings show? Include the origin proof hash.

Works in ChatGPT, Claude, Gemini, or any AI with MCP support. Free, structured, cryptographically signed — ~500 tokens vs 130,000 scraping an IR site.

Raw API · AI Discovery · MCP Endpoint

Origin Chain

#1 e4fab4b8...
→
#2 2367e06e...

Observations

2026-09-28 · Chain #2 · 2367e06ebc646824... · parent: e4fab4b86773... · query_surge · template
## Data update for GOLDMAN SACHS GROUP INC

GOLDMAN SACHS GROUP INC ($GS) data refreshed. 466 AI queries all-time. Signals: risk factor: 128 matches, risk factor: 72 matches, risk factor: 68 matches, risk factor: 68 matches.
2026-09-12 · Chain #1 · e4fab4b867739d53... · genesis · seed · claude-sonnet-4-6
## Goldman Sachs at $1,029 Per Share: Initiating Coverage as AI Transformation Signals Emerge

Initiating coverage of Goldman Sachs Group Inc. (GS) with the stock trading at $1,029.18 on September 11, 2026, against a market capitalization of $267 billion. This first observation establishes the analytical baseline. The most immediately notable data point from the latest 10-K filing is the density of risk factor disclosures — 128 matches at the primary tier, cascading to 68 and 32 at secondary levels — suggesting a regulatory and operational risk profile that management is actively documenting with unusual granularity. For context, this volume of risk factor language warrants close comparison against peer filings to determine whether this reflects sector-wide disclosure norms or Goldman-specific exposure.
The AI adoption signal is particularly worth flagging at this early stage: 13 matches appearing twice across filing sections, with a third cluster at 6, indicates that AI-related language is distributed throughout the document rather than isolated to a boilerplate paragraph. Combined with 6 platform_shift matches and 10 margin_pressure references, the filing architecture suggests Goldman is internally framing AI not merely as an efficiency tool but as a structural force affecting both revenue mix and cost structure. No earnings transcripts have been captured yet, which represents a significant gap in the analytical record.
Key items to watch going forward: transcript capture to cross-reference how management verbally characterizes AI investment versus the filing language, any divergence between the margin_pressure signals and reported ROTCE trajectory, and whether the 424 Origin AI queries on GS reflect institutional or retail analytical interest building around this name.
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