SHARED DATA · MARKET CLOSE · 10 AUG 2026
RETROSPECTIVE MODEL / 2026RETURNS INR · VALUES USD
THE AI FIVE-LAYER PORTFOLIO

Own the bottlenecks.
Not just the narrative.

A concentrated, 30-stock global portfolio spanning the complete AI value chain—from power and silicon to models, applications and the scarce inputs between them.

30 holdings9 countries6 sleeves100% allocatedhypothetical backtest
MODEL VALUE · USD$127,894$100,000 inception notional
NET GAIN · USD$27,894before fees, tax and trading costs
MAX DRAWDOWN-18.4%trough 29 Jul
ANNUALIZED VOL.+30.8%daily INR return NAV, √252
POSITIVE NAMES24 / 30since 5 February
PORTFOLIO PEAK146.9222 Jun 2026
DAILY NAV · INR RETURN BASIS135.1110 Aug 2026
941141331535 FEB1 APR1 JUN3 AUG
INR return NAV · inception 100.00Use ← → keys or pointer to inspect133 business-day observations
BEST DAY+5.2%8 AprWORST DAY-5.1%5 JunTOP CONTRIBUTOR · INR000660+3.84 ptsTOP CONTRIBUTOR · INRPANW+3.26 ptsTOP CONTRIBUTOR · INRVRT+2.73 pts
PERFORMANCE ATTRIBUTION · INR

Physical scarcity led the result.

Chips and infrastructure contributed +24.32 INR percentage points together. The strongest returns came from HBM, security and datacentre power-and-cooling exposure.

THE CENTRAL FACT69%

of the portfolio’s INR return came from Chips & Compute plus Physical Infrastructure—the two most direct scarcity sleeves.

TOP CONTRIBUTORS · INRPORTFOLIO PTS.
000660
+3.84
PANW
+3.26
VRT
+2.73
NVDA
+2.71
2308
+2.58
DETRACTORS · INRPORTFOLIO PTS.
9988
-0.49
9888
-0.40
SPCX
-0.31
TSLA
-0.30
0700
-0.29
PORTFOLIO ARCHITECTURE

Five layers. Six ways to win.

Sixty-eight percent sits in the physical stack—energy, chips and infrastructure—where long lead times and engineering complexity create the strongest bottlenecks.

68%physical stack
01

Energy & grid

Scarce generation, transformers and electrical control convert AI demand into long-duration backlogs.

18.0%+20.8%+3.75 INR pts
02

Chips & compute

Own five distinct chokepoints: accelerators, foundry, lithography, custom silicon and HBM.

30.0%+44.0%+13.21 INR pts
03

Physical infrastructure

Networks, cooling, power systems, skilled deployment and interconnection make compute usable.

20.0%+55.6%+11.11 INR pts
04

Models & platforms

Favor scaled platforms with proprietary models, compute, distribution and differentiated demand funnels.

17.0%+2.5%+0.43 INR pts
05

Applications

Back companies already turning models into workflows, security outcomes or physical autonomy.

10.0%+50.1%+5.01 INR pts
T

Tactical sleeve

Small positions in China foundry localization, photonics, power cabling, copper and EUV inspection capture asymmetric second-order scarcity.

5.0%+32.0%+1.60 INR pts
GLOBAL ALLOCATION

Global by merit.
Not by quota.

Nine markets supply distinct pieces of the AI stack. Each non-US position displaced a credible incumbent; none was added simply to make the map look broader.

United States
56.5%
Taiwan
10.5%
China
9.7%
South Korea
7.0%
Netherlands
5.5%
Germany
4.0%
France
3.5%
Japan
1.8%
United Kingdom
1.5%
CHINA · 8.5%

Platforms over prototypes.

Tencent, Alibaba and Baidu provide models, cloud, distribution and cash flow. SMIC and newly listed labs remain candidates, not compulsory holdings.

JAPAN · 1.8%

Two quiet chokepoints.

Sumitomo Electric spans AI fiber and power cable; Lasertec owns a highly specialized EUV inspection niche.

EUROPE · 14.5%

Industrial scarcity.

ASML, Siemens Energy, Schneider and RELX contribute lithography, grid hardware, electrical systems and proprietary data.

LATIN AMERICA

Exposure through copper.

Freeport's global mine base captures copper intensity without adding a lower-conviction regional name merely for domicile.

30-STOCK FACT SHEET

Every position has a job.

Filter the portfolio, rank the evidence, and open any row for the full selection rationale and principal risk.

Company / strategic roleListingTargetNowINR returnINR contribution
10
000660 SK hynixHBM memory leader
KRXSouth Korea4.5%6.2%+85.3%+3.84 pts
23
PANW Palo Alto NetworksAI-era security platform
NasdaqUnited States2.0%3.9%+162.8%+3.26 pts
12
VRT VertivPower density + liquid cooling
NYSEUnited States4.5%5.3%+60.6%+2.73 pts
06
NVDA NVIDIASystem-level AI compute
NasdaqUnited States8.0%7.9%+33.9%+2.71 pts
13
2308 Delta ElectronicsEfficient power + thermal
TWSETaiwan4.0%4.9%+64.6%+2.58 pts
11
ANET Arista NetworksEthernet AI fabrics
NYSEUnited States4.5%5.2%+57.2%+2.58 pts
09
AVGO BroadcomCustom silicon + networking
NasdaqUnited States5.5%5.9%+44.2%+2.43 pts
07
TSM TSMCFoundry + advanced packaging
NYSE ADRTaiwan6.5%6.5%+34.4%+2.23 pts
22
NET CloudflareEdge AI + security fabric
NYSEUnited States2.0%3.0%+101.2%+2.02 pts
08
ASML ASMLEUV lithography monopoly
Nasdaq ADRNetherlands5.5%5.5%+36.3%+2.00 pts
14
FIX Comfort Systems USASkilled datacentre deployment
NYSEUnited States3.5%4.0%+54.3%+1.90 pts
01
GEV GE VernovaTurbines + grid equipment
NYSEUnited States4.5%4.7%+42.1%+1.89 pts
15
EQIX EquinixNeutral interconnection
NasdaqUnited States3.5%3.6%+37.9%+1.33 pts
03
SU Schneider ElectricPower from grid to rack
Euronext ParisFrance3.5%3.3%+27.9%+0.98 pts
18
AMZN AmazonOpen cloud compute platform
NasdaqUnited States3.0%2.9%+31.9%+0.96 pts
27
LITE LumentumPhotonics bottleneck
NasdaqUnited States1.0%1.3%+70.4%+0.70 pts
16
GOOGL AlphabetFull-stack model platform
NasdaqUnited States4.0%3.4%+14.2%+0.57 pts
04
CEG Constellation Energy24/7 operating power
NasdaqUnited States3.5%3.0%+16.0%+0.56 pts
25
RELX RELXProprietary vertical data
NYSE ADRUnited Kingdom1.5%1.4%+28.5%+0.43 pts
02
ENR Siemens EnergyGlobal grid second source
XetraGermany4.0%3.3%+10.1%+0.40 pts
30
6920 LasertecEUV mask inspection
TokyoJapan0.8%0.9%+44.4%+0.36 pts
29
FCX Freeport-McMoRanCopper intensity
NYSEUnited States1.0%0.9%+26.4%+0.26 pts
28
5802 Sumitomo ElectricPhotonics + grid cabling
TokyoJapan1.0%0.9%+23.9%+0.24 pts
26
0981 SMICChina strategic foundry option
Hong KongChina1.2%0.9%+3.2%+0.04 pts
05
267260 HD Hyundai ElectricHigh-voltage transformers
KRXSouth Korea2.5%1.8%-3.5%-0.09 pts
19
0700 Tencent HoldingsChina models + distribution
Hong KongChina3.5%2.4%-8.3%-0.29 pts
21
TSLA TeslaPhysical-AI option
NasdaqUnited States2.5%1.6%-12.0%-0.30 pts
17
SPCX SpaceXFrontier model + hyperscale platform
NasdaqUnited States3.5%2.4%-8.9%-0.31 pts
24
9888 BaiduChina AI cloud + autonomy
Hong KongChina2.0%1.2%-19.9%-0.40 pts
20
9988 Alibaba GroupChina cloud + open models
Hong KongChina3.0%1.9%-16.4%-0.49 pts
30 of 30 holdings shownReturns include FX for local listingsClick + for thesis and risk
LAYER-BY-LAYER

The portfolio thesis, company by company.

The core barbell owns hard-to-replicate bottlenecks and scaled distribution. Application and tactical positions remain deliberately smaller.

GEV4.5%

GE Vernova

Turbines + grid equipment

The cleanest public combination of gas turbines, grid hardware and long-duration service revenue. A $176bn backlog and more than $5bn of 2026 data-centre orders turn the AI power thesis into contracted demand.

Key risk

Backlog execution, fixed-price liabilities and a valuation that already discounts scarcity.

ENR4.0%

Siemens Energy

Global grid second source

A global alternative to GE Vernova in turbines and a major transformer supplier. Record orders show the grid constraint is worldwide, while advance payments and service revenue improve visibility.

Key risk

Wind-subsidiary volatility, long-cycle project execution and euro exposure.

SU3.5%

Schneider Electric

Power from grid to rack

Monetizes breakers, UPS, power distribution, automation and cooling integration across architectures. It is less binary than a generator and data centres remain the leading Energy Management growth driver.

Key risk

Premium valuation, industrial cyclicality, competition and acquisition integration.

CEG3.5%

Constellation Energy

24/7 operating power

Operating nuclear and gas assets supply firm power today rather than promising future capacity. Its enlarged fleet and signed data-centre arrangements create direct leverage to scarce round-the-clock electricity.

Key risk

Power prices, regulation, nuclear outages and integration of a much larger fleet.

2672602.5%

HD Hyundai Electric

High-voltage transformers

A focused beneficiary of transformer and grid-equipment shortages. Its 2026 targets explicitly cite AI data centres and global grid expansion, reinforced by participation in the tight US 765kV market.

Key risk

Korean-won exposure, project concentration and eventual normalization of transformer pricing.

RISK CONTROL

The portfolio is concentrated.
The process cannot be.

This is an aggressive thematic model. Position caps, evidence gates and geopolitical limits matter more than false precision in a long-term target price.

R01

Capex / ROI air pocket

MOST EXPOSED

GEV · VRT · FIX · ANET · AVGO · LITE

MONITOR / RESPONSE

Cloud backlog, supplier book-to-bill, cancellations and hyperscaler capex guidance.

R02

Taiwan / China rupture

MOST EXPOSED

TSM · 2308 · NVDA · AVGO · 0700 · 9988 · 9888 · 0981

MONITOR / RESPONSE

Keep any one China name below 4%, TSM below 7%, and review export controls quarterly.

R03

Valuation compression

MOST EXPOSED

SPCX · NET · TSLA · LITE · VRT · GEV · SK hynix

MONITOR / RESPONSE

Build in tranches; do not average down after a thesis break.

R04

Efficiency shock

MOST EXPOSED

NVDA · TSM · SK hynix · power names

MONITOR / RESPONSE

Track aggregate tokens, cloud demand and electricity—not benchmark efficiency alone.

R05

Power / permitting delays

MOST EXPOSED

CEG · EQIX · FIX · VRT · GEV

MONITOR / RESPONSE

Watch energization, interconnection queues and customer prepayments.

R06

Model commoditization

MOST EXPOSED

GOOGL · SPCX · AMZN · 0700 · 9988 · 9888

MONITOR / RESPONSE

Require cloud, distribution and cash flow; avoid pure model laboratories at venture-like valuations.

OPERATING RULES

Evidence before enthusiasm.

These rules turn the thesis into an investable process.

  1. Enter in three tranches: 40% initially, 30% after the next earnings cycle and 30% on a drawdown or thesis confirmation.
  2. Review quarterly and conduct a full thesis audit every six months; rebalance for risk or evidence, not merely because a stock rose.
  3. Trim any single position above 12%, any layer above 35%, any one China holding above 4%, and keep tactical names at or below 1.5% each.
  4. For physical names, two quarters of book-to-bill below one, cancellations or declining backlog margins force a review.
  5. For platforms, capex growing materially faster than AI revenue without better backlog or utilization forces a weight reduction.
  6. For applications, AI ACV, RPO or adoption must outgrow the company baseline to prove the exposure is incremental.
WATCHLIST / NEAR MISSES
SMEE

China's lithography champion is not publicly listed; no direct security can enter the portfolio.

Unitree

Compelling robotics leader, but IPO subscription only began on 10 August; wait for trading, liquidity and public results.

Zhipu · MiniMax

Frontier-model exposure is real, but post-listing valuations and losses do not yet beat Tencent or Alibaba.

WEG · ABB · NKT

Excellent global electrification names; the five selected energy incumbents have stronger direct AI order evidence.

Advantest · Ibiden · Fujikura

High-quality Japan beneficiaries, but current multiples leave less margin of safety than Sumitomo Electric.

Lynas · MP Materials

Important magnet supply optionality, but AI demand is more indirect than copper, optics or power cabling.

Nebius · CoreWeave

Direct AI capacity growth with financing, customer-concentration and residual-value risk.

The investable universe was screened across North America, Europe, China, Japan, Korea, Taiwan, India, Southeast Asia, Australia, Africa and Latin America. A name enters only when its evidence and risk/reward beat the incumbent slot.

METHODOLOGY & SOURCES

How to read the number.

This is a retrospective hypothetical backtest, not a live track record. The final 30-stock portfolio was selected using information available through 11 August 2026 and is simulated from 5 February, so the result contains hindsight and selection bias. Holdings received target weights at the adjusted close on that start date and then remained buy-and-hold with fractional shares and no rebalancing. The 3.5% SpaceX model-and-platform allocation is held as USD cash until the stock's first trading close on 12 June, then invested. NAV is shown for every weekday through 10 Aug 2026.

US ADRs are used for TSMC, ASML and RELX. Tencent, Alibaba, Baidu and SMIC use their Hong Kong listings; Siemens Energy and Schneider are priced in euros; HD Hyundai Electric and SK hynix in won; Delta in Taiwan dollars; Sumitomo Electric and Lasertec in yen. Local adjusted closes are converted first to USD using contemporaneous Yahoo Finance FX series. When a local market is closed, its last available close is carried forward.

Every return figure is INR-denominated: the portfolio NAV and daily chart, holding returns, layer returns, contribution, attribution, drawdown, volatility, best day and worst day. Each USD total-return series is translated daily through USD/INR before the INR return is calculated. Every monetary value shown—portfolio value, gain, allocations and holding values—remains in USD. No rupee monetary values are displayed.

Adjusted closes incorporate splits and cash distributions. Use the refresh control in the top-right corner to fetch and recalculate the latest completed US market session. A successful refresh becomes the shared verified snapshot every visitor sees; if any required price or FX input fails validation, the prior snapshot remains live. The model excludes brokerage, bid/ask spreads, withholding tax, investor-level tax and custody constraints. A $100,000 notional is included only to make the NAV intuitive; this is not a brokerage statement.

PORTFOLIO RESEARCHFinal global five-layer portfolio · 11 August 2026MARKET DATAYahoo Finance daily adjusted close + FX