Tennessee Valley Authority
f3bdb4e91142493a8db4094f250c36ad
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-22T08:21:46.248008+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
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-036 Product to Capability WHAT High
Direct: revenue_model_type=~95% recurring via long-term wholesale power contracts with 153 local power companies and large direct industrial customers; minimal transactional spot sales. Corroborated: marginal_cost_of_growth=Marginal growth cost driven by capital investment (generation/transmission assets) not labor; incremental kWh has near-zero marginal labor cost once assets are online
SG-010
Digitization
WHAT High
SG-022
Layer Player
HOW High
SG-025
Long Tail
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Digitization (SG-010) + Layer Player (SG-022) + Long Tail (SG-025) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 5 Medium: 26 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
TVA carries ~$19B long-term debt; 20bp rate rise adds ~$38M annual interest on variable-rate portion, modest given government-backed status
Inferred
Agent_Inference
interest_rate_sensitivity
~15% of debt is variable-rate; 20bp increase raises annual interest expense ~$38M; fixed-rate long-term bonds partially insulate near-term cash flow
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
Uranium enrichment via Russia/Kazakhstan (nuclear fuel cycle) and Appalachian coal rail corridors are top two geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
TVA operates exclusively in 7 southeastern U.S. states; zero international revenue exposure; sovereign currency devaluation risk is not applicable
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
Nuclear fuel supply chain (Westinghouse/Framatome) is non-substitutable short-term; represents significant operational dependency for ~40% of generation capacity
Inferred
Agent_Inference
business_model_type_primary
TVA is a federally chartered utility; no cloud-infrastructure dependency for core power delivery; grid operations run on proprietary SCADA/EMS systems
Inferred
Agent_Inference
business_model_type_secondary
IT/back-office systems use commercial cloud but are non-critical to power generation; 30-day cloud termination would disrupt admin, not grid operations
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; TVA uses NERC-compliant grid management protocols; no third-party API is central to revenue-generating operations
Inferred
Agent_Inference
howey_test_risk_index
TVA's revenue model (power sales via statutory rates) does not meet Howey Test; no investment contract, profits not derived from third-party efforts
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Negligible GDPR exposure (no EU customers); CCPA limited (B2B/government utility customers in southeastern U.S. only); primary risk is NERC CIP compliance
Inferred
Agent_Inference
antitrust_exposure_flag
TVA holds statutory monopoly over wholesale power in its service territory; antitrust exemption via federal charter, but scrutiny possible on retail competition boundaries
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 long-term wholesale power contracts with 153 local power companies and large direct industrial customers; minimal transactional spot sales
Inferred
Agent_Inference
monetization_vector
Primarily rate-based wholesale electricity sales; statutory rate-setting authority; supplemented by transmission access charges and power purchase agreements
Inferred
Agent_Inference
pricing_architecture
Rates set under TVA Act with congressional oversight; limited market pricing flexibility; stress scenario is regulatory lag during fuel cost spikes compressing margins
Inferred
Agent_Inference
pricing_power_rating
Moderate; TVA has statutory rate authority but faces political/regulatory constraints; rate increases require board approval and congressional scrutiny
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~25-35%; utility cost structure dominated by fuel, O&M, and debt service; capital-intensive model limits margin expansion
Inferred
Agent_Inference
churn_vulnerability_index
No meaningful free-rider risk; power delivery is metered and billed; captive wholesale customers with long-term contracts; retail end-users cannot easily defect
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear, not headcount-linear; doubling generation capacity requires significant capex but modest incremental headcount; sublinear labor scaling
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost driven by capital investment (generation/transmission assets) not labor; incremental kWh has near-zero marginal labor cost once assets are online
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC is irrelevant; TVA is a statutory monopoly; growth constrained by geography and federal charter, not sales economics
Inferred
Agent_Inference
network_effect_present
No traditional network effects; grid reliability improves marginally with scale but is an engineering property, not a demand-side network effect
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low for core grid operations; AI can optimize dispatch and predictive maintenance but cannot replace physical generation and transmission assets
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession-resistant; electricity is essential; TVA serves residential, industrial, and government customers; demand declines modestly (~5-8%) in severe recessions
Inferred
Agent_Inference
customer_segment_primary
153 local power companies (municipal utilities and cooperatives) account for ~80% of revenue; high concentration but locked in via long-term wholesale agreements
Inferred
Agent_Inference
customer_segment_secondary
Large direct-serve industrial customers (e.g., automakers, aluminum smelters, federal facilities including DoD) represent ~15% of revenue; some concentration in heavy industry
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
32.6% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001376986
High
SEC-EDGAR
ticker
TVE
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_03PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-22no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01FAIL2026-07-221 authored question(s) unanswerable — e.g. QBANK_MACRO_003 n
SKILL_OPS_PARTNER_01FAIL2026-07-221 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.