Dhruv Meisheri - Student Portfolio

I have believed for some time that US equities are overvalued, and was not comfortable with the risk given my macro understanding. Having said that, I did miss out on the recent rally, which could extend further with potential rate cuts.

I also wouldn’t be too quick to rule out China as a leader in AI. It might not be the case today but we are increasingly seeing startups use Chinese models given the increased performance and cheap costs.

Highly suggest watching this video if you’re interested: https://www.youtube.com/watch?v=KKtbq-w4mzg

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Would appreciate your views on gold and silver again, given that it has exceeded your and Ritesh Jain’s targets for the year.

After the US session yesterday, gold is back down $5200, which was my target for the year. I prefer to always be conservative which is why I initially set it, but with ongoing geopolitical and economic issues the world faces, we could even see gold trading at $5700+ going into 2027.

I’ve had a long term outlook for gold in the range of $8000-10,000 (link to article), but I came across another interesting framework by Luke Gromen recently:

Looking at the market value of America’s official gold position as a percentage of the foreign held treasuries outstanding, it historically has never been below 20% (in 1989). As of recent, it is 14%, implying gold would have to rise another 50% just to reach the previous low. Luke claims the long term average is between 40-60%, suggesting a fair value of roughly $15,000.

Again, these are super long term views. For gold to reach anywhere above $10,000, we would need to see major moves towards a dollar crisis in my opinion.

Silver faces a different type of demand, given it is being seen as something with monetary value rather than just industrial usage. I continue to use my model of silver’s fair value being 2% of gold, and it seems to be priced in this range now.

disc: not a buy/sell recommendation.

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Sharing my macro essay titled “When Intent Meets Reality”. I wrote about Venezuela, Greenland, metals, and implications for markets.

Venezuela: Reasserting the Backyard

(Ritesh Jain, Vijay Vaitheeswaran)

Venezuela has re-entered the global conversation with a familiar narrative attached to it: Drugs, instability, humanitarian concern. None of these explain the timing or the intensity of recent U.S. actions. As Ritesh Jain argues, those explanations are largely for public consumption. The real issue is strategic neglect and its reversal.

Over the past decade, the United States allowed its immediate sphere of influence to thin out. China, Russia, and Iran expanded their presence across Latin America quietly, through financing, military cooperation, and energy partnerships. Venezuela became the most visible symbol of that drift. The current response is less about punishment and more about reassertion. This is Monroe Doctrine logic updated for a multipolar world. The “backyard” is not negotiable.

From this perspective, Venezuela was the easiest place to act. It is close, diplomatically isolated, economically fragile, and symbolically powerful. Re-engaging there allows the U.S. to push rival powers out of its immediate neighborhood, demonstrate decisiveness at relatively low cost, and signal that the era of passivity is over. It is a message directed as much at Beijing and Moscow as it is at Caracas.

Oil sits at the center of this strategy, but not in the way it is often framed. The objective is not simply to add barrels to global supply or lower gasoline prices, but to control energy flows in a way that constrains rivals. China dominates critical materials. It does not dominate global oil. Venezuela, along with Iran and Russia, sits on energy resources that matter strategically even if they are not economically attractive at the margin. By squeezing influence in Venezuela, the U.S. indirectly pressures China’s access to energy rather than confronting it head-on.

Why the Strategy Works Politically but Fails Economically

Venezuelan oil is not light, cheap, or easy. It is heavy, carbon-intensive crude that requires specialized extraction and refining. Restoring production from roughly 1 million barrels per day back to the 3-4 million barrels Venezuela once produced would require well over $100bn of sustained investment. More importantly, it would require confidence in property rights and political stability that Venezuela has repeatedly destroyed.

History matters here. The expropriation waves under Chávez and Maduro wiped out decades of trust. Major oil companies exited after bitter legal battles, and only one remains meaningfully exposed. Chevron’s position is unique and should not be generalized, it operates under special dispensations granted by both Democratic and Republican administrations, and today a material share of its production comes from Venezuela. That exception underscores the rule, and no other major is likely to commit fresh capital at scale.

Even if capital were available, economics remain unfavorable. Venezuelan projects require sustained oil prices closer to $80 per barrel over long horizons to justify investment. Current market discussions around $60 oil make that hurdle implausible. For an industry now focused on capital discipline and shareholder returns, Venezuela is uninvestable.

There is, however, a narrow pocket where the strategy does make sense. U.S. Gulf Coast refineries were historically optimized for heavy Venezuelan crude. Before expropriation, that relationship was deep. Any renewed flow would benefit those refineries disproportionately, creating a short-term windfall for specific operators.

Greenland: Strategic Asset or Strategic Error

(Peter Zeinhan, Ritesh Jain)

Greenland has two very different strategic arguments. One views it as an unnecessary provocation that destroys alliances for little gain, the other sees it as an under-appreciated asset.

The first is that the Greenland focus makes little sense. Denmark is arguably one of the most supportive allies the United States has ever had. Despite its small size, it has consistently shown up for U.S. military operations, from the Gulf War to Afghanistan, fully aware that its own geography makes external alliances essential. Greenland itself has never been an obstacle. The United States already has full access to the island for any military or strategic activity it wants to conduct, and Denmark helps pay for that presence. From a narrow cost benefit perspective, this is an extraordinarily favorable arrangement.

Economically, the case is even weaker. Roughly 80% of Greenland is covered by ice, and even aggressive global warming scenarios do not change that reality in any meaningful timeframe. Greenland lacks natural ports, sits in one of the stormiest maritime environments in the world, and would require vast infrastructure investment just to make extraction feasible. Ports, roads, power, housing, and processing facilities would need to be built almost from scratch. The cost would likely run into the trillions. Rare Earths are typically byproducts of other mining processes, not standalone opportunities, and transporting raw material elsewhere would be prohibitively expensive, forcing local smelting and further raising costs.

The second argument starts from a different premise. The Arctic is changing. Ice is melting, opening new shipping routes and increasing the strategic relevance of the region. Russia has been investing heavily in Arctic militarization, building bases and infrastructure along its northern frontier. From this angle, Greenland is the first early warning point for any missile launched from Russia toward North America, making it critical for missile defense and surveillance in a world of renewed great power competition.

There is also a psychological dimension. Europe has consistently underinvested in defense despite repeated warnings. Public pressure and polite diplomacy have failed to change that behavior. The Greenland rhetoric can be read as an attempt to jolt Europe out of complacency by making the costs of dependency more explicit.

Why Percent Returns Are Becoming Meaningless

(Luke Gromen)

For roughly 40 years, the global system rewarded financial engineering over physical production. Control of money printing, capital markets, and dollar plumbing was treated as the primary source of power. Factories were offshored, grids were neglected, refining capacity was allowed to concentrate elsewhere, and balance sheets grew faster than productive capacity. That trade worked as long as physical abundance could be assumed. It no longer can.

The shift arguably began with the 2008 Global Financial Crisis. The response (zero rates, QE, and repeated liquidity backstops) made clear that the supply of “safe” dollar claims, and their long-run real return, are ultimately policy variables. For reserve managers who had spent prior decades treating gold as a legacy holding, the crisis helped flip the equation: official-sector selling dried up and, by 2010, central banks became consistent net buyers. In that sense, gold’s re-monetisation started as a hedge against the gradual dilution of nominal claims rather than a bet on any single scenario.

The current moment can be described as a hard bifurcation between the paper world and the physical world. On one side sit financial claims: Bonds, equities, swap lines, reserves, and percentage returns. On the other side sit factories, power generation, grids, mines, refineries, and labor. For decades these two worlds moved broadly in sync, but today they are splitting apart.

The limitation of paper claims becomes obvious when stress rises. You cannot eat percentage returns. You cannot build a factory with a favorable internal rate of return if you lack steel, copper, power, or skilled labor. You cannot refine rare earths without refining capacity, regardless of how many dollars you can print. At some point, financial abundance runs into physical scarcity, and the latter always wins.

This is why refining capacity has emerged as one of the most critical bottlenecks. Raw materials are only valuable if they can be processed. Control of mines without control of refining is incomplete power. Control of financial assets without control of production is leverage without output.

AI, war, and energy have all exposed this split simultaneously. AI highlights how dependent advanced technology is on power, cooling, water, and specialized hardware. Military conflict exposes the fragility of supply chains and the limits of just-in-time production. Energy transition shows us how long it takes to build physical infrastructure relative to how quickly capital can be allocated on a screen. In each case, the paper world moves faster than the physical world, until it cannot.

This bifurcation also reveals itself through inversion. Luke Gromen often asks investors to look for the dogs that did not bark. If financial power were decisive, why do nations with the deepest capital markets struggle to build grids, refineries, or shipyards on reasonable timelines? If monetary dominance were sufficient, why do sanctions fail to produce desired outcomes when physical supply remains intact? What is absent from the data is often more revealing than what is present.

Debt-heavy systems are fragile because debt presumes stable cash flows generated by physical output. When productivity gains, automation, or geopolitical shocks disrupt that output, the claims stacked on top become unstable. Physical scarcity does not need to be extreme to cause problems. It only needs to bind at the margin.

We are moving to a system where financial claims and physical reality are no longer aligned. As that gap widens, capital will be forced to reprice what actually matters.

Gold as the Response

(Luke Gromen)

Gold is increasingly functioning as a neutral settlement asset in a system where every other major asset represents a claim on someone else’s balance sheet. A Treasury bond is a claim on future fiscal capacity. A bank deposit is a claim on a leveraged intermediary. Equities are claims on earnings that depend on stable demand, policy continuity, and functioning credit markets. Gold is none of these. It has no counterparty, no maturity, and no dependency on policy credibility.

Central banks have recognized this faster than private investors. Over the past several years, reserve managers have been steadily recycling surpluses out of dollar assets and into gold as a response to misalignment. Reserves built for a rules-based, low-volatility world are poorly suited to an environment defined by sanctions, fragmentation, and political risk, and gold sits outside those frictions. On a broad definition, gold already rivals U.S. Treasuries as a reserve asset.

Gold is a 0% yielding bond of infinite duration with finite issuance and no counterparty risk. Let’s consider the system’s extremes: In an inflationary outcome, gold protects purchasing power as nominal claims are diluted. In a deflationary or default-driven outcome, it protects against credit risk as revenues fall faster than obligations. In both situations, gold survives without needing policy support.

The China angle fits naturally into this framework, without requiring a full geopolitical overlay. China runs persistent trade surpluses, which gives it optionality that deficit nations lack. Those surpluses must be recycled somewhere. Belt and Road investments have faced rising scrutiny and constraints, particularly in the Western Hemisphere. Recycling into domestic projects can only go so far before diminishing returns set in. Gold provides a politically neutral outlet that strengthens sovereign, banking, and household balance sheets simultaneously.

Here is Luke’s model for valuing gold: Looking at the market value of America’s official gold position as a percentage of the foreign held treasuries outstanding, it historically has never been below 20% (in 1989). As of recent, it is 14%, implying gold would have to rise another 50% just to reach the previous low. Luke claims the long term average is between 40-60%, suggesting a fair value of roughly $15,000.

Again, these are super long term views. For gold to reach anywhere above $10,000, we would need to see major moves towards a dollar crisis in my opinion.

Silver & Copper

(Ritesh Jain)

Silver and copper sit further down the risk spectrum than gold, but they express the same underlying pressures with greater volatility. They respond not just to monetary stress, but to the physical constraints that monetary systems are increasingly running into.

Silver carries monetary characteristics similar to gold, but with a much smaller market and far higher volatility. Historically, when gold becomes expensive or inaccessible, investors rotate into silver. It is the poor cousin effect. Capital moves down the quality ladder in search of exposure to the same forces at a lower nominal price.

Over long periods, silver has traded at roughly 2% of gold’s value, with brief episodes of excess treated as outliers rather than norms. What is new is the industrial overlay.

Silver is becoming more relevant in energy storage and electrification than is widely appreciated. Battery technology, particularly in next-generation applications for grid storage and electric vehicles, appears to be far more silver-intensive than prior designs. Samsung’s decision to take over a silver mine in Mexico is a signal, companies do not vertically integrate into mining unless they see structural supply risk.

This creates a second demand channel layered on top of the traditional investment cycle. When gold rises, silver attracts speculative and monetary demand. When energy storage and electrification accelerate, silver attracts industrial demand.

Copper is different, it is the physical backbone of the energy transition.

Electrification is happening: Electric vehicles, charging infrastructure, renewable generation, grid expansion, and industrial electrification all require copper in large quantities. There is no substitute at scale, and every version of the transition runs through the same metal.

The issue sits on the supply side. A new copper mine takes roughly 17 years from discovery to production under optimistic assumptions. Some industry estimates stretch that timeline closer to 20+ years once permitting, financing, and community opposition are factored in. Either way, meaningful new supply is not arriving this decade. Existing mines are aging, grades are declining, and capital discipline remains tight.

Copper lagged gold and silver initially because it is tied more directly to real activity than to monetary hedging. That lag is now closing. Ritesh Jain’s view is that this dynamic becomes more visible in 2026, when the gap between energy ambition and material reality can no longer be ignored. Copper does not need speculative excess to rise. It only needs demand to persist and supply to remain constrained.

What This Means for Markets

(Ritesh Jain, Luke Gromen)

The most important market risk in the current environment is not direction, but sequencing. Many of the forces discussed in this memo point in the same long-term direction, but the path to get there is unlikely to be smooth. Order of operations matters.

A short-term deflationary impulse is plausible. AI is beginning to compress costs and displace labor faster than most forecasts anticipated. Early signs are visible in labor-market data, particularly among recent graduates and white-collar roles. Productivity gains arrive immediately, while income adjustment lags.

Debt systems cannot tolerate sustained deflation. Deflation raises the real burden of fixed liabilities while shrinking the cash flows used to service them. As revenues fall and defaults rise, stress migrates from households to corporates, then to banks and sovereign balance sheets. What begins as efficiency-driven disinflation can quickly turn into a credit problem.

The historical pattern is consistent: Deflation leads to defaults —> defaults trigger panic —> panic forces intervention —> liquidity is injected at scale to prevent systemic collapse. The result is often a sharp reversal from deflationary pressure to inflationary or even hyperinflationary outcomes.

This is where inversion becomes essential, it is a practical discipline in environments where linear thinking fails. Most analysis looks at only one side of the ledger: what policymakers intend, what markets are pricing, what narratives emphasize. Far fewer ask how the other side can respond, or whether it already has.

Luke Gromen frames inversion through concrete questions. If actions have been taken, did the other side react? And if so, where is that reaction visible. In recent conflicts, it has been common to conclude that nothing happened because markets did not move and headlines did not escalate. That conclusion is often wrong.

Russia did respond. Coordinated strikes hit Ukrainian energy infrastructure. Power generation and transmission facilities were damaged. Large parts of Kyiv lost electricity and water, heating systems failed during winter conditions, and public transport was disrupted. The city’s mayor warned residents to prepare for prolonged outages and urged vulnerable populations to temporarily leave because restoration timelines were uncertain. These actions were targeted at the physical systems that sustain daily life.

The next inversion follows directly. If prevailing narratives emphasize overwhelming radar coverage and missile-defense superiority, why did those strikes land at all? Why were energy nodes disabled? Why did essential services go offline?

This discipline will matter more, not less, going forward. In 2026, many of the most consequential moves are likely to occur off the main stage, before they are widely acknowledged. The dogs that did not bark often matter more than the ones that did.

Bitcoin illustrates this risk clearly. It may eventually behave like a reserve asset, but today it still trades as a high-beta technology proxy. In a deflationary shock, it is vulnerable to sharp drawdowns, even if long-term liquidity trends remain supportive.

I would like to credit most of this work to my teachers Ritesh Jain, Luke Gromen, Peter Zeihan, and The Kobeissi Letter. I wrote this piece simply as a means of consolidating all their knowledge to paint a digestible picture for you all.

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Hi Dhruv,
Very interesting portfolio. I wish to know more about your thesis on samhi hotels.

You can read what I initially wrote 5 months ago about Samhi, with my valuation napkin math here.

Here’s my thinking right now:

Acceleration of RevPAR growth tells us that pricing power is intact in the industry, so we need to focus on potential results now.

Management execution is strong, a good example being the Trinity hotel in Bangalore. Under the previous Marriott management, they were doing ~1.8cr revenue monthly in July 25’. In recent months, that number has come to 3cr. This was achieved at the same occupancy.

FY27 looks set up well because Samhi added inventory in small batches through this year, and much of it is now fully operational, so FY27 should capture the full-year benefit. We could see same-store RevPAR growth + incremental inventory contribution play out. Also, the development/rebranding pipeline is skewed towards upscale and upper-upscale, with management aiming to move the mix from ~40%+ contribution to ~60% over time. A higher upscale mix should improve earnings quality and support better margins.

There’s concern regarding the GST impact, but management claims it’s a near-term margin impact for about 2 quarters. Importantly, most new inventory is upscale/upper-upscale, which is less exposed to this issue. Let’s see how things progress.

disc: not a recommendation.

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Hey everyone, I’ve received quite a few emails over the past few weeks asking about my views on AI and the broader AI race. I decided to address it in detail in my latest monthly memo.

This is slightly different from what I typically write about. However, the AI race has real macro, energy, and capital allocation implications, which makes it worth studying.

I’m still digging deeper into this space, so I’d love to hear thoughts and counterpoints.

Link to memo

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Came across an article on AI’s potential impact recently, I think it’s interesting. Do you have any thoughts?

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Definitely an interesting article, and I do think the impact on unemployment and the economy is possible. But I disagree with the timeline. After speaking to a few people in the AI space, I’ve learned that an enormous amount of energy is required to develop systems capable of fully replacing white-collar workers. Given the energy constraints we face right now, I don’t think the situation will be as severe by 2028 as the article suggests.

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Portfolio as of 9th March 2026

Stock/Commodity Value
Gold 16.2%
Silver 14.5%
Bondada Engineering 3.6%
Samhi Hotels 7.2%
TD Power 9.7%
JM Financial 3.4%
Techno Electric 3.9%
Time Technoplast 2.8%
Aarti Pharmalabs 3.2%
Goodluck India 3.0%
Oswal Pumps 1.2%
Max Estates 2.3%
Parag Milk 10.7%
Alpex Solar 2.9%
Kilburn Engineering 7.9%
Cash 7.4%

Changes made:

  • Increased position in Kilburn Engineering, Parag Milk, and Time Technoplast
  • Increased position in Gold
  • Exited Aditya Birla Capital
  • Bought position in Techno Electric * (link)

Note: Since my last portfolio post, my father contributed additional funds to the portfolio.

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