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.
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.
of the portfolio’s INR return came from Chips & Compute plus Physical Infrastructure—the two most direct scarcity sleeves.
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.
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.
Platforms over prototypes.
Exposure favors scaled cloud, model and distribution economics, supplemented by a small strategic semiconductor option.
Quiet chokepoints.
The allocation targets behind-the-scenes optical, power-cabling and semiconductor-inspection scarcity.
Industrial scarcity.
European holdings contribute lithography, grid hardware, electrical systems and proprietary professional data.
Exposure through copper.
A global mine base captures copper intensity without adding a lower-conviction regional name merely for domicile.
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 role | Listing | Target | Now | INR return | INR contribution | |
|---|---|---|---|---|---|---|
03 NVDA NVIDIA ↗System-level AI compute | NasdaqUnited States | 8.0% | 8.0% | +35.9% | +2.87 pts | |
06 VRT Vertiv ↗Power density + liquid cooling | NYSEUnited States | 4.5% | 5.4% | +62.9% | +2.83 pts | |
05 ANET Arista Networks ↗Ethernet AI fabrics | NYSEUnited States | 4.5% | 5.3% | +59.4% | +2.67 pts | |
04 TSM TSMC ↗Foundry + advanced packaging | NYSE ADRTaiwan | 6.5% | 6.3% | +33.4% | +2.17 pts | |
01 GEV GE Vernova ↗Turbines + grid equipment | NYSEUnited States | 4.5% | 4.8% | +44.8% | +2.02 pts | |
10 NET Cloudflare ↗Edge AI + security fabric | NYSEUnited States | 2.0% | 2.9% | +96.2% | +1.92 pts | |
02 ENR Siemens Energy ↗Global grid second source | XetraGermany | 4.0% | 3.2% | +10.7% | +0.43 pts | |
07 GOOGL Alphabet ↗Full-stack model platform | NasdaqUnited States | 4.0% | 3.2% | +10.5% | +0.42 pts | |
08 SPCX SpaceX ↗Frontier model + hyperscale platform | NasdaqUnited States | 3.5% | 2.4% | -5.4% | -0.19 pts | |
09 TSLA Tesla ↗Physical-AI option | NasdaqUnited States | 2.5% | 1.6% | -10.0% | -0.25 pts |
Subscribers receive the complete constituent list, target weights, company-level rationale, principal risks and ongoing monitoring updates.
ENQUIRE ABOUT ACCESS →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.
GE Vernova
Turbines + grid equipmentThe 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.
Siemens Energy
Global grid second sourceA 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.
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.
Capex / ROI air pocket
MOST EXPOSEDPower equipment · cooling · networking · deployment
MONITOR / RESPONSECloud backlog, supplier book-to-bill, cancellations and hyperscaler capex guidance.
Taiwan / China rupture
MOST EXPOSEDAdvanced foundry · electronics supply chain · China platforms
MONITOR / RESPONSEMaintain position and geography caps; review export controls and supply-chain continuity quarterly.
Valuation compression
MOST EXPOSEDFrontier platforms · physical AI · high-growth infrastructure
MONITOR / RESPONSEBuild in tranches and require operating evidence before adding after a drawdown.
Efficiency shock
MOST EXPOSEDAccelerators · memory · power and thermal systems
MONITOR / RESPONSETrack aggregate tokens, cloud demand and electricity—not benchmark efficiency alone.
Power / permitting delays
MOST EXPOSEDGeneration · interconnection · electrical systems · deployment
MONITOR / RESPONSEWatch energization, interconnection queues, lead times and customer prepayments.
Model commoditization
MOST EXPOSEDFrontier models · cloud platforms · application software
MONITOR / RESPONSERequire distribution, recurring monetization and cash flow; avoid model exposure without a durable channel.
Evidence before enthusiasm.
These rules turn the thesis into an investable process.
- Enter in three tranches: 40% initially, 30% after the next earnings cycle and 30% on a drawdown or thesis confirmation.
- Review quarterly and conduct a full thesis audit every six months; rebalance for risk or evidence, not merely because a stock rose.
- 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.
- For physical holdings, two quarters of book-to-bill below one, cancellations or declining backlog margins force a review.
- For platforms, capex growing materially faster than AI revenue without better backlog or utilization forces a weight reduction.
- For applications, AI contract value, backlog or adoption must outgrow the company baseline to prove the exposure is incremental.
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.