# CIO Memo — AI Productivity vs Macro Fragility

**Date:** 2026-02-24  
**Prepared for:** Ethan Eismann  
**Context:** Scenario analysis inspired by Citrini's "2028 Global Intelligence Crisis" thesis.

## Core View
AI can deliver strong productivity while still weakening aggregate demand if labor share falls faster than policy/market adjustment.

## Base Case (12–24 months)
- AI infra and automation leaders continue compounding.
- Enterprise software reprices where differentiation is weak.
- Intermediation-heavy business models face fee/margin compression.
- Market dispersion stays high; index-level narratives become less reliable.

## Key Risks
1. White-collar labor deterioration accelerates consumption slowdown.
2. Private credit and refinance stress amplify downside feedback loops.
3. Policy response lags economic shift.

## Portfolio Positioning
### 1) Core Longs (40–60%)
- AI compute/infrastructure
- Mission-critical automation software with real moats
- Cyber/observability tied to machine workload growth

### 2) Selective Growth Longs (10–20%)
- Businesses that convert AI into durable margin expansion without demand impairment

### 3) Hedges / Relative Value (10–25%)
- Pair trades vs weak-moat, fee-extractive, or labor-sensitive models

### 4) Liquidity + Convexity (10–20%)
- Cash/T-bills and tactical downside optionality

## Action Rules
- If 2 or more tripwires trigger simultaneously, reduce gross risk by 10–20%.
- Rotate from narrative beta to balance-sheet quality and FCF durability.
- Prefer pairs over one-sided directional bets.

## Tripwires
- Unemployment trend inflects sharply higher
- Credit spreads widen materially
- Earnings calls shift from growth to discounting/defensive AI spend
- Enterprise renewals show persistent price compression

## What To Monitor Weekly
- Labor data + openings ratio
- IG/HY and private credit stress indicators
- Enterprise software pricing commentary
- Payments/interchange disruption indicators

## Decision
Stay constructive on AI, but explicitly hedge macro transmission risk and intermediation compression.