GEORGIA POWER CO
13a776ca9aba4920b81111076c37ab40
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T18:51:16.154482+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=Westinghouse (Vogtle nuclear fuel/services) represents non-substitutable critical supplier exceeding 30% of nuclear operational input cost
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 18 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Debt-to-equity ~1.8x; 20% rate rise adds ~$180M annual interest expense, compressing coverage ratio from ~3.0x to ~2.4x
Inferred
Agent_Inference
interest_rate_sensitivity
~60% long-term fixed-rate debt limits near-term exposure; floating-rate portion (~$2B) adds ~$40M annual cost per 20% rate increase
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
1) Strait of Malacca (solar panel/transformer components from Asia); 2) Gulf Coast ports (natural gas equipment and LNG infrastructure)
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Purely domestic Georgia-based utility; zero sovereign currency devaluation exposure — no international revenue markets
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Westinghouse (Vogtle nuclear fuel/services) represents non-substitutable critical supplier exceeding 30% of nuclear operational input cost
Inferred
Agent_Inference
business_model_type_primary
Capital-intensive regulated utility; cloud termination would disrupt billing/SCADA systems but physical grid operations continue independently
Inferred
Agent_Inference
business_model_type_secondary
On-premise and hybrid IT infrastructure for grid operations; cloud dependency is administrative, not operationally existential
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; proprietary SCADA/EMS systems dominate; utility operational tech is largely closed-loop and vendor-specific
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test — regulated utility selling electricity commodity; revenue model is service-based, not investment contract; negligible securities risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure (domestic only); moderate CCPA risk via smart meter/AMI customer data; state PSC data rules add compliance layer
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate — legally sanctioned monopoly within Georgia PSC territory; antitrust risk contained but retail competition deregulation remains latent threat
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~95% recurring via regulated rate tariffs under multi-year rate cases; ~5% transactional (wholesale spot sales, fee services)
Inferred
Agent_Inference
monetization_vector
Regulated tariff per kWh/kW demand charges to residential, commercial, and industrial customers; rate base return model
Inferred
Agent_Inference
pricing_architecture
Cost-of-service regulation sets pricing; Georgia PSC approves rate cases; stress scenario — disallowed Vogtle costs could reduce allowed ROE below 10%
Inferred
Agent_Inference
pricing_power_rating
Moderate-low autonomy; pricing set by regulator with ~10.5% allowed ROE; inflation pass-through via fuel adjustment clauses provides partial protection
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35–40%; regulated utility model compresses margins but ensures stability; Vogtle nuclear additions may improve long-run margin
Inferred
Agent_Inference
churn_vulnerability_index
Effectively zero churn — captive monopoly service territory; no free-rider leakage; distributed solar self-generation is modest partial bypass risk
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear, not headcount-linear; doubling capacity requires massive capex but modest incremental headcount (~10–15% growth)
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear headcount growth; marginal cost of growth dominated by capital (plant, grid infrastructure), not labor — strong operational leverage at scale
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC is near-zero (monopoly territory); unit economics improve via fixed-cost leverage; regulatory lag on rate recovery is key risk
Inferred
Agent_Inference
network_effect_present
No traditional network effect; grid reliability improves marginally with scale but customer value is flat — utility is infrastructure, not platform
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for grid operations near-term; AI can optimize dispatch/load forecasting but cannot displace physical asset base (~$40B rate base)
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant — electricity is non-discretionary; industrial load may dip 5–10% in severe recession but residential stable
Inferred
Agent_Inference
customer_segment_primary
Residential customers (~35% of revenue); highly fragmented, millions of accounts — no single residential concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Large industrial/commercial accounts (~45% revenue); top 10 industrial customers may represent 10–15% of total revenue — moderate concentration
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital actively reallocating: Vogtle Units 3&4 nuclear ($35B+ total project) plus grid modernization; legacy coal retirement freeing capital for clean energy transition
Inferred
Agent_Inference
sec_cik
0000041091
High
SEC-EDGAR
ticker
GPJA
High
SEC-EDGAR

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_MACRO_003 n
SKILL_OPS_PARTNER_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.