Enterprise AI Value Migration Analyzer

“You are migrating the value of your business to the person you’re paying a lot of money to.”
— Alex Karp, Palantir CEO (On Enterprise AI Spend & External Value Transfer)
Capital Flow & Value Capture Pipeline Standard Enterprise Deployment
Total Annual Spend
$5.00M
Baseline Budget
External Migration
$4.25M
85.0% External Vendor Margin
Retained IP Moat
$0.75M
15.0% Internal Value Built
Lock-In Risk Index
78 / 100
High Concentration
Stack Configuration & Presets
Annual AI Deployment Budget $5,000,000
STACK SPEND ALLOCATION (%)
Cloud GPU Infrastructure 35%
Frontier Foundation APIs 40%
Vector & Middleware Layer 10%
Proprietary IP & Fine-Tuning Data 15%
OPERATIONAL PARAMETERS
Avg API Context Window 32k Tokens

3-Year Enterprise Value Cumulative Projection 30% YoY Growth

Year Total Spend External Margin Retained IP Value

Vendor Lock-In & Moat Vulnerability

Quantifies systemic dependency on proprietary API specs, external model weights, and cloud provider lock-in.
Lock-In Concentration Index 78 / 100

Enterprise AI Value Migration Analyzer

Read the explanation

Enterprise AI spending divides across compute infrastructure, frontier model APIs, middleware, and proprietary internal data assets. The analyzer models Alex Karp's thesis: frontier API calls migrate ninety-five percent of value to external vendors, leaving little retained enterprise moat. Selecting the Full Proprietary Stack preset shifts spending into internal datasets, increasing retained enterprise moat and lowering the lock-in risk index.

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