BARCLAYS 2026 BENCHMARK

AI Revenue & Unit Economics Waterfall Engine

Simulation Presets
Barclays estimate: $35–$40 per $100 of AI revenue
Jevons' paradox: sequential tool invocation increases compute load
Key Barclays Thesis: API pricing scales dynamically with usage, whereas flat subscriptions face heavy margin drag under agentic loops as customers execute high sequential call volumes for a fixed fee.
Cloud Revenue Pass-Through
$38.0M
Flows to AWS / Azure / GCP
Cloud Operating Profit
$15.2M
Hyperscaler operating earnings
Model Lab Gross Profit
$57.5M
Retained by frontier labs
Cybersecurity ARR Lift
$4.5M
CrowdStrike / telemetry pipeline
Subscription Margin Drag
-$8.4M
Overhead from fixed pricing
Effective Operating Margin
34.2%
Net blended lab conversion
AI Value Chain Waterfall Flow (Per $100M Baseline)
SVG Interactive Topology
Empirical Tech Earnings Grounding (Q3 2026 Actuals)
NVIDIA (NVDA)

$96.2B Total / $89B Data Center

Data Center revenue up 117% YoY. Hardware supplier capturing silicon revenue at ~75% gross margin directly from hyperscaler CapEx pools.

Salesforce Agentforce

$3.9B ARR / 7B Agentic Units

Enterprise ARR jumped 210% YoY. Shift from chat to autonomous sequential tasks where single customer requests trigger multi-system calls.

CrowdStrike (CRWD)

$333M Net New ARR (+51% YoY)

Every autonomous tool-call requires runtime inspection, data leak prevention, and identity authorization, routing a steady take to cybersecurity.

IREN & Nebius (NBIS)

$128.8M Cloud ARR / 1.2GW

Alternative GPU neoclouds showing 8x revenue growth as hyperscaler capacity limits push compute arbitrage to dedicated bare-metal farms.

Under the current 60% API / 40% Subscription allocation with an Agentic Depth multiplier of 5, the model lab transfers $38.0M to hyperscalers, while experiencing -$8.4M in flat-rate subscription margin drag.

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