SHARED DATA · MARKET CLOSE · 18 AUG 2026
LAUNCHED 05 FEB 2026RETURNS INR · VALUES USD
GLOBAL AI PORTFOLIO · INVESTOR PREVIEW

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 holdings10 disclosed9 countries6 sleevessince-launch record
MODEL VALUE · USD$128,666$100,000 inception notional
NET GAIN · USD$28,666before fees, tax and trading costs
MAX DRAWDOWN-18.4%trough 29 Jul
ANNUALIZED VOL.+30.6%daily INR return NAV, √252
POSITIVE NAMES24 / 30since 5 February
PORTFOLIO PEAK146.9222 Jun 2026
DAILY NAV · INR RETURN BASIS136.6218 Aug 2026
941141331535 FEB1 APR1 JUN3 AUG
INR return NAV · inception 100.00Use ← → keys or pointer to inspect139 business-day observations
BEST DAY+5.2%8 AprWORST DAY-5.1%5 JunLEADING LAYER · INRChips & compute+14.31 ptsLEADING LAYER · INRPhysical infrastructure+11.90 ptsLEADING LAYER · INRApplications+4.70 pts
PERFORMANCE ATTRIBUTION · INR

Physical scarcity led the result.

Chips and infrastructure contributed +26.21 INR percentage points together. The strongest returns came from HBM, security and datacentre power-and-cooling exposure.

THE CENTRAL FACT72%

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

LEADING LAYERS · INRPORTFOLIO PTS.
Chips & compute
+14.31
Physical infrastructure
+11.90
Applications
+4.70
LOWER CONTRIBUTORS · INRPORTFOLIO PTS.
Models & platforms
-0.07
Tactical sleeve
+1.92
Energy & grid
+3.86
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%+21.4%+3.86 INR pts
02

Chips & compute

Own distinct chokepoints across accelerators, foundry, lithography, custom silicon and high-bandwidth memory.

30.0%+47.7%+14.31 INR pts
03

Physical infrastructure

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

20.0%+59.5%+11.90 INR pts
04

Models & platforms

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

17.0%-0.4%-0.07 INR pts
05

Applications

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

10.0%+47.0%+4.70 INR pts
T

Tactical sleeve

Small positions in strategic semiconductors, photonics, power cabling, materials and inspection capture asymmetric second-order scarcity.

5.0%+38.3%+1.92 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.

Exposure favors scaled cloud, model and distribution economics, supplemented by a small strategic semiconductor option.

JAPAN · 1.8%

Quiet chokepoints.

The allocation targets behind-the-scenes optical, power-cabling and semiconductor-inspection scarcity.

EUROPE · 14.5%

Industrial scarcity.

European holdings contribute lithography, grid hardware, electrical systems and proprietary professional data.

LATIN AMERICA

Exposure through copper.

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

SELECTED HOLDINGS · INVESTOR PREVIEW

Ten names. Five layers.

Two representative holdings from each core layer are disclosed below. The complete 30-stock constituent list, tactical sleeve and monitoring notes are available with subscriber access.

Company / strategic roleListingTargetNowINR returnINR contribution
03
NVDA NVIDIASystem-level AI compute
NasdaqUnited States8.0%8.0%+35.9%+2.87 pts
06
VRT VertivPower density + liquid cooling
NYSEUnited States4.5%5.4%+62.9%+2.83 pts
05
ANET Arista NetworksEthernet AI fabrics
NYSEUnited States4.5%5.3%+59.4%+2.67 pts
04
TSM TSMCFoundry + advanced packaging
NYSE ADRTaiwan6.5%6.3%+33.4%+2.17 pts
01
GEV GE VernovaTurbines + grid equipment
NYSEUnited States4.5%4.8%+44.8%+2.02 pts
10
NET CloudflareEdge AI + security fabric
NYSEUnited States2.0%2.9%+96.2%+1.92 pts
02
ENR Siemens EnergyGlobal grid second source
XetraGermany4.0%3.2%+10.7%+0.43 pts
07
GOOGL AlphabetFull-stack model platform
NasdaqUnited States4.0%3.2%+10.5%+0.42 pts
08
SPCX SpaceXFrontier model + hyperscale platform
NasdaqUnited States3.5%2.4%-5.4%-0.19 pts
09
TSLA TeslaPhysical-AI option
NasdaqUnited States2.5%1.6%-10.0%-0.25 pts
FULL PORTFOLIO ACCESS20 additional holdings remain reserved

Subscribers receive the complete constituent list, target weights, company-level rationale, principal risks and ongoing monitoring updates.

ENQUIRE ABOUT ACCESS →
10 of 30 holdings disclosedReturns include FX for local listingsClick + for thesis and risk
LAYER-BY-LAYER

The portfolio thesis, selectively disclosed.

Each core layer shows two representative holdings. The tactical sleeve remains visible at the strategy level while its constituents are reserved for subscribers.

GEV4.5%

GE Vernova

Turbines + grid equipment

The cleanest public combination of gas turbines, grid hardware and long-duration service revenue. A deep backlog and rising 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 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.

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

Power equipment · cooling · networking · deployment

MONITOR / RESPONSE

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

R02

Taiwan / China rupture

MOST EXPOSED

Advanced foundry · electronics supply chain · China platforms

MONITOR / RESPONSE

Maintain position and geography caps; review export controls and supply-chain continuity quarterly.

R03

Valuation compression

MOST EXPOSED

Frontier platforms · physical AI · high-growth infrastructure

MONITOR / RESPONSE

Build in tranches and require operating evidence before adding after a drawdown.

R04

Efficiency shock

MOST EXPOSED

Accelerators · memory · power and thermal systems

MONITOR / RESPONSE

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

R05

Power / permitting delays

MOST EXPOSED

Generation · interconnection · electrical systems · deployment

MONITOR / RESPONSE

Watch energization, interconnection queues, lead times and customer prepayments.

R06

Model commoditization

MOST EXPOSED

Frontier models · cloud platforms · application software

MONITOR / RESPONSE

Require distribution, recurring monetization and cash flow; avoid model exposure without a durable channel.

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 positions at or below 1.5% each.
  4. For physical holdings, 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 contract value, backlog or adoption must outgrow the company baseline to prove the exposure is incremental.
METHODOLOGY & SOURCES

How to read the performance.

The portfolio was launched on 5 February 2026. Performance shown here tracks the 30-stock portfolio from its launch weights through 18 Aug 2026. Holdings are measured from the adjusted close on the launch date and then follow a buy-and-hold methodology with fractional shares and no rebalancing. One subsequently listed platform allocation remained in USD cash until its first trading close, when it entered the portfolio.

US ADRs and primary listings across Hong Kong, Europe, Korea, Taiwan and Japan are used as appropriate. 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 reported record excludes brokerage, bid/ask spreads, withholding tax, investor-level tax and custody constraints. A $100,000 inception notional scales the launch weights into an intuitive portfolio value; it is a standardized reporting base, not a brokerage statement.

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