Sample Report — Mega-Cap Tech Portfolio
Portfolio Analysis: Hidden Concentration Risk Detected
The 5 holdings below represent 22% of a typical tech-focused portfolio — but carry over 80% correlated exposure to a single macro theme.
Critical: 73% AI Infrastructure Concentration Detected
Your AAPL, MSFT, GOOGL, NVDA, and META positions are not as diversified as they appear. Across the full tech landscape, these 5 names share 73%+ correlated exposure to AI infrastructure spend — meaning a single macro shock (rate hike, regulation, data center capex slowdown) would hit all 5 simultaneously.
AI Analysis
The illusion of diversification. At first glance, owning Apple, Microsoft, Google, NVIDIA, and Meta appears to be a well-spread mega-cap portfolio. But the AI has identified a common thread: all five companies are structurally linked to the AI infrastructure super-cycle. NVDA manufactures the chips; MSFT and GOOGL are the largest cloud infrastructure buyers; META is deploying $60B+ into AI compute this year; AAPL is integrating AI at every hardware layer. When AI infrastructure spend is robust, all 5 rise together. When it contracts — they all fall together. That's concentration risk, even if the ticker symbols look different.
Portfolio Holdings
| Ticker | Weight | Primary Theme | AI Infra Exposure |
|---|---|---|---|
NVDA NVIDIA Corporation |
3.0% | Semiconductors | 97% |
MSFT Microsoft Corporation |
6.0% | Cloud / AI | 84% |
GOOGL Alphabet Inc. |
4.0% | Cloud / AI | 78% |
AAPL Apple Inc. |
7.0% | Consumer Tech / AI | 61% |
META Meta Platforms Inc. |
2.0% | Social / AI | 72% |
Thematic Exposure Map
Where your money is actually concentrated
AI Infrastructure
73%
NVDA, MSFT, GOOGL, META, AAPL — all linked to AI datacenter spend cycle
Cloud Infrastructure
58%
Azure, Google Cloud, and iCloud scaling drive correlated revenue
Semiconductor Supply Chain
34%
NVDA direct; AAPL/MSFT/GOOGL indirectly dependent on chip availability
Consumer Hardware / Devices
28%
iPhone and Mac cycles; interest rate sensitivity on big-ticket devices
Digital Advertising
19%
META primary; GOOGL search advertising. Recession-sensitive.
Risk Metrics
AI Infrastructure Concentration
73%
Threshold for elevated risk: >40%
Intra-Portfolio Correlation
0.84
Healthy diversified portfolio: <0.35
Single-Theme Beta
1.62
vs. S&P 500 on AI infrastructure drawdowns
Diversification Score
3.2/10
Based on theme spread across 22% position
Identified Risks
What could hurt all 5 positions simultaneously
HIGH
AI Capex Correction
If MSFT, GOOGL, or META cut AI infrastructure budgets — even 10–15% — NVDA revenue guidance falls immediately. AAPL's AI-hardware roadmap timeline also compresses. All 5 positions correlate negatively.
HIGH
Chip Export Regulation / Geopolitical Shock
NVDA's H100/H200 series is subject to US export controls on China. Escalation hits NVDA directly, but also delays GOOGL/MSFT datacenter builds dependent on next-gen NVIDIA silicon.
MED
Federal Reserve Rate Path
Higher-for-longer rates compress growth multiples across all 5 names. Additionally, consumer device cycles (AAPL iPhone) slow when discretionary spending contracts under high rate environments.
MED
Antitrust / Platform Regulation
GOOGL faces DOJ remedies. META faces EU DMA enforcement. AAPL faces App Store regulation. Three of five names carry regulatory overhang that could structurally cap monetization.
LOW
Open-Source AI Commoditization
If open-source models (Llama, Mistral) reach parity with closed models, MSFT/GOOGL cloud AI premium pricing compresses. Affects long-term cloud margins, not near-term revenue.
Recommendations
How to reduce concentration without abandoning tech
01
Add Defensive Tech Exposure
Introduce tech names with lower AI infrastructure dependency and higher recurring revenue predictability. Cybersecurity and enterprise software have lower correlation to AI capex cycles.
CRWD
PANW
INTU
NOW
02
Introduce Energy / Infrastructure Offset
AI datacenters are massive power consumers. Energy infrastructure (utilities, natural gas) is a hedge that rises when AI infrastructure demand rises — inversely correlated to a capex slowdown.
NEE
CEG
VST
03
Reduce NVDA Weight or Add Semi Diversification
NVDA at 3% is high for a single semiconductor name with concentrated revenue in hyperscalers. Consider distributing across the semi supply chain to reduce single-name binary risk.
AVGO
TSM
AMD
04
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This sample covers only 5 holdings. Your real portfolio likely has ETF holdings, index funds, and other positions with hidden thematic overlap. The full analyzer maps your complete exposure — including what's inside your ETFs.
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This sample report is for illustrative purposes only. Nothing in this report constitutes investment advice, a recommendation to buy or sell any security, or an offer to provide investment advisory services. All analysis is AI-generated and based on publicly available information. Past performance and thematic correlations do not guarantee future results. The Rock Report is an information service, not a registered investment adviser.