Capital Compounder

SpaceX Joins the Nasdaq

Capital Compounder — Tue, 30 Jun 2026 18:02:02 +0000

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Key Takeaways

SpaceX's inclusion in the Nasdaq-100 is expected to increase institutional ownership through passive index funds.
Investors increasingly value SpaceX as a technology infrastructure company, not just a rocket manufacturer.
Rocket Lab's acquisition of Iridium marks a strategic shift toward recurring satellite communications revenue.
The commercial space race is evolving from launching rockets to building integrated space ecosystems.
AI, satellite connectivity, and defense technologies are likely to be the biggest long-term growth drivers for the industry.

Hi Compounders,

For years, investing in SpaceX was something only venture capital firms, private equity funds, and a handful of accredited investors could do. That changed with the company's blockbuster IPO earlier this year, but this week marks an even more important milestone. SpaceX is set to become a member of the Nasdaq-100, placing it alongside the world's largest and most influential technology companies.

This is not merely an index reshuffle. It is recognition that SpaceX has evolved beyond being a rocket manufacturer. Wall Street now sees the company as a technology platform—one that combines aerospace engineering, satellite communications, artificial intelligence, advanced manufacturing, and global infrastructure under one roof.

The Nasdaq-100 is followed by hundreds of billions of dollars in passive investment products. Every ETF and mutual fund tracking the index will now need to own SpaceX shares, creating a new and consistent source of institutional demand. While index inclusion alone does not guarantee higher prices, history shows that companies entering major benchmarks often experience increased liquidity, broader analyst coverage, and stronger institutional ownership over time.

What makes SpaceX particularly unique is the diversity of its revenue streams. The Falcon family of reusable rockets has dramatically reduced launch costs, making SpaceX the dominant player in commercial and government launches. Starship continues to push the boundaries of heavy-lift capability, while Starlink has quietly become one of the world's largest satellite internet providers, serving millions of customers across more than 140 countries. Beyond launch services, Starlink is generating recurring subscription revenue—a business model that investors typically reward with higher valuations because of its predictability.

Artificial intelligence is also becoming an increasingly important part of the SpaceX story. Modern AI systems require enormous computing infrastructure, resilient global connectivity, and low-latency data transmission. Satellite networks such as Starlink could become a critical layer of that infrastructure, connecting AI-enabled devices, autonomous vehicles, defense systems, and remote industrial operations around the globe. Increasingly, investors are beginning to value SpaceX not simply as a space company but as an infrastructure provider for the next generation of AI-powered technologies.

That explains why the market continues to assign the company a premium valuation. Investors are buying into a long-term vision rather than today's earnings alone.

Rocket Lab Makes Its Boldest Bet Yet

As SpaceX strengthens its position on Wall Street, its closest publicly traded rival has decided that competing launch-for-launch is no longer enough.

Rocket Lab announced the acquisition of satellite communications company Iridium in an approximately $8 billion transaction, one of the largest deals the commercial space industry has ever seen. The acquisition fundamentally changes Rocket Lab's business model.

Historically, Rocket Lab has been known for its Electron launch vehicle and its growing satellite manufacturing business. While successful, the company remained primarily dependent on launch activity. By acquiring Iridium, Rocket Lab gains ownership of an established global satellite constellation, long-term government and commercial contracts, spectrum assets, and a recurring communications business that generates predictable cash flows.

This move mirrors the strategy that made SpaceX such a dominant force. Instead of earning revenue only when a rocket leaves the launch pad, Rocket Lab now has the opportunity to generate income every single day through satellite communications and connected services.

In many ways, the acquisition represents Rocket Lab's attempt to become a complete space infrastructure company rather than simply a launch provider. Investors have increasingly rewarded businesses with recurring software- and service-based revenues over cyclical hardware businesses, and Rocket Lab is clearly repositioning itself in that direction.

The Commercial Space Race Is Entering a New Phase

For much of the last decade, the competition centered on one question: who could build the best rockets?

That question has largely been answered.

SpaceX has established a significant lead in reusable launch technology, launch cadence, and cost efficiency. Rather than trying to outperform SpaceX on rocket technology alone, competitors are now focusing on building integrated ecosystems around space.

The future battle will be fought across satellite broadband, Earth observation, defense technology, AI infrastructure, autonomous systems, in-space manufacturing, and data services. Rockets will become the transportation layer, while the real profits may come from the businesses that operate once satellites are already in orbit.

This shift is remarkably similar to what happened in the cloud computing industry. Companies initially competed to build data centers, but the real winners became those that built profitable ecosystems of software and services on top of that infrastructure. Space appears to be following the same path.

Why Investors Should Pay Attention

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Space is no longer a niche aerospace industry. It is rapidly becoming a strategic technology sector that sits at the intersection of artificial intelligence, telecommunications, defense, national security, cloud computing, and global connectivity.

SpaceX's entry into the Nasdaq-100 reinforces that transformation. It reflects how institutional investors increasingly view the company—not as an aerospace manufacturer, but as one of the world's most important technology platforms.

At the same time, Rocket Lab's acquisition signals that competitors understand the industry's direction. The winners of the next decade may not simply be the companies launching the most rockets, but those building the most valuable ecosystems in orbit.

As AI drives unprecedented demand for computing power and global connectivity, the commercial space industry is becoming one of the most important investment themes of this decade. What was once considered science fiction is steadily becoming a core component of the global technology economy.

AI Takes a Breather

Capital Compounder — Sun, 28 Jun 2026 17:15:52 +0000

Where to Invest $100,000 Right Now, According to Experts

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Key Takeaways

Tech finally took a pause as investors locked in profits from AI and semiconductor stocks after a stellar run.
Lower oil prices and easing Treasury yields helped cushion the broader market despite weakness in technology.
This wasn't a market crash—it was a rotation, with capital flowing into value and defensive sectors.
The coming week will hinge on inflation data, bond yields, and whether the selloff spreads beyond AI.

Hi Compounders,

For the first time in several months, Wall Street reminded investors that markets don't move in one direction forever.

The week's headlines may have been dominated by the sharp decline in technology stocks, but beneath the surface the story was far more nuanced. Rather than a broad market selloff, investors simply rotated away from the market's biggest winners and into areas offering better value.

The S&P 500 slipped nearly 2%, while the Nasdaq Composite fell 4.6%, marking its weakest week in months. Meanwhile, the Dow Jones Industrial Average quietly gained around 0.6%, highlighting just how selective investors have become.

This wasn't panic.

It was portfolio repositioning.

Why Markets Pulled Back

The AI trade has delivered exceptional returns over the past year, pushing semiconductor manufacturers, cloud companies and software giants to record valuations.

This week investors finally asked an uncomfortable question:

Are expectations running ahead of reality?

Concerns intensified after reports suggested OpenAI could delay its IPO until 2027, prompting fresh debate over how quickly the enormous investments being made across artificial intelligence will translate into sustainable profits.

Semiconductor stocks, AI infrastructure companies and high-growth software names bore the brunt of the selling as investors chose to lock in profits rather than chase increasingly expensive valuations.

Importantly, this wasn't driven by deteriorating business fundamentals.

Demand for AI remains exceptionally strong.

Instead, markets simply began demanding greater proof that future earnings can justify today's prices.

The Good News: Inflation Continues to Cooperate

While technology struggled, the macroeconomic backdrop actually improved.

Brent crude oil retreated to roughly $72–73 per barrel, easing concerns that energy prices could reignite inflation.

At the same time, the U.S. 10-year Treasury yield eased to approximately 4.38%, reducing pressure on interest-rate-sensitive sectors.

Lower oil prices and softer bond yields give the Federal Reserve additional room to remain patient, something equity investors have been hoping for throughout the year.

In other words, the market's biggest headwind wasn't the economy—it was valuation.

The Numbers That Mattered

Market	Weekly Performance
S&P 500	-2.0%
Nasdaq Composite	-4.6%
Dow Jones Industrial Average	+0.6%
U.S. 10-Year Treasury Yield	4.38%
Brent Crude Oil	$72–73/barrel
KOSPI	Nearly -10% during the week

These figures tell an important story.

Technology absorbed most of the selling pressure, while much of the broader market remained surprisingly resilient.

That's very different from the indiscriminate selling normally associated with bear markets.

Earnings Are No Longer Enough

The earnings season also highlighted a subtle but meaningful shift in investor psychology.

Micron delivered results that comfortably exceeded expectations, supported by robust demand from AI data centres.

Yet the stock failed to spark widespread optimism across the semiconductor industry.

Markets are no longer rewarding revenue growth alone.

Investors now want evidence that companies can maintain healthy margins while managing the enormous capital expenditures required to support artificial intelligence.

Apple offered another reminder of this changing environment by increasing prices on selected MacBook and iPad models, citing higher memory and storage chip costs.

Demand remains strong, but so do the costs of supplying that demand.

What Investors Should Watch Next

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The coming week could prove pivotal.

Three factors are likely to determine market direction:

First, whether selling pressure remains confined to AI-related stocks or spreads across the broader market.

Second, whether crude oil continues to stay subdued, helping inflation remain under control.

Finally, upcoming inflation data and Treasury yields will shape expectations around future Federal Reserve policy.

One additional consideration is market liquidity.

With the U.S. market observing a shortened trading week ahead of the Independence Day holiday, thinner trading volumes could amplify price movements, making volatility appear larger than the underlying fundamentals justify.

The Bottom Line

Despite the sharp decline in technology, this week's action doesn't signal the end of the bull market.

Instead, it reflects a market that is becoming more selective.

For much of the past year, almost any company associated with artificial intelligence enjoyed expanding valuations.

That phase now appears to be evolving.

Going forward, investors are likely to reward businesses that combine strong earnings growth with reasonable valuations, healthy margins and disciplined capital allocation.

Momentum alone may no longer be enough.

The bull market is still alive—but leadership is changing.

And as history has repeatedly shown, the investors who adapt to those shifts are usually the ones who outperform over the long run.

Market Back”Drop”

Capital Compounder — Tue, 23 Jun 2026 12:09:33 +0000

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Key Takeaways

The Nasdaq selloff is primarily a valuation reset, not yet a sign of fundamental weakness in technology or AI demand.
Higher bond yields are forcing investors to reassess how much they're willing to pay for future growth, hitting mega-cap tech hardest.
Semiconductor stocks remain supported by strong long-term demand, but the market is becoming far less forgiving of missed expectations.
Recent trillion-dollar market-cap losses across major companies highlight how quickly sentiment can reverse when valuations become stretched.

Market Back”Drop” - NASDAQ

Hi Compounders,

The market is getting a reminder that leadership cuts both ways.

After spending much of the past year powering higher on the back of mega-cap technology and AI enthusiasm, the Nasdaq-100 is now facing a meaningful test. The recent selloff has accelerated, with futures under pressure and heavyweight technology names dragging the index lower. If current declines persist, more than $1 trillion in market value could be wiped from the benchmark's largest constituents.

This isn't coming out of nowhere.

The first cracks appeared earlier in June as Treasury yields pushed higher following stronger-than-expected economic data. Investors began to reassess how quickly interest rates might fall, and the market's most richly valued growth stocks were the first place that pressure showed up.

What's Really Happening?

At its core, this is a valuation reset.

For months, investors were willing to pay increasingly higher multiples for companies tied to AI infrastructure, semiconductors, and large-scale cloud spending. As long as earnings continued to impress and rates remained relatively stable, that trade worked exceptionally well.

Now the environment has changed.

Higher bond yields raise the discount rate investors apply to future earnings, which matters most for companies whose valuations depend heavily on long-term growth expectations. That has put semiconductor names and AI-linked stocks directly in the spotlight.

The result is a market that is becoming much less forgiving.

Good results are no longer enough. Investors want exceptional results. Strong guidance is no longer enough. Investors want upgrades. Any hint of slowing growth, delayed spending, or softer margins is being punished far more aggressively than it was just a few months ago.

Correction or Something Worse?

For now, this still looks more like a correction inside the market's leadership group than a broad market breakdown.

The distinction matters.

Corrections are healthy. They remove excess optimism, reduce crowded positioning, and bring valuations closer to reality. Bear markets, on the other hand, are typically driven by deteriorating fundamentals, weakening earnings, or recessionary conditions.

At this stage, the fundamentals behind AI adoption, cloud infrastructure investment, and semiconductor demand remain intact.

What's changing is the price investors are willing to pay for that growth.

The risk, however, is that concentrated weakness in the largest index weights creates a broader de-risking event. When a handful of stocks account for such a significant portion of index performance, sustained selling can quickly become self-reinforcing as passive flows and institutional positioning adjust.

Semiconductors: Repricing, Not Collapse

The semiconductor sector remains at the center of the conversation.

Recent volatility has sparked questions about whether the AI trade has gone too far. The answer appears to be more nuanced.

What we're seeing is not a collapse in demand. It's a reassessment of expectations.

Investors had priced in near-perfect execution across much of the sector. When expectations reach those levels, even solid performance can disappoint.

The broader earnings outlook remains constructive. Demand for AI computing power, data-center infrastructure, networking equipment, and advanced chips continues to grow. But the market is increasingly distinguishing between companies that can consistently deliver and those benefiting primarily from enthusiasm.

In other words, the AI story remains intact. The valuation story is being rewritten.

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The SpaceX Shock

One of the more striking developments has been the reported decline in SpaceX's valuation.

The company lost more than $600 billion in three days and that Monday’s drop alone was about 16%
The stock closed at about $154.60 on Monday, the weakest close since trading began, and that the three-day decline reached about 23%
Several reports tie the selloff to SpaceX’s move to raise debt for the first time, alongside concerns about valuation

Whether the precise figures ultimately hold or not, the message from investors is clear: when valuations become stretched, markets can reprice expectations with remarkable speed.

And SpaceX is far from alone.

We've Seen This Before

The past 18 months have produced several historic market-cap drawdowns among the world's largest companies.

Apple, Amazon, Nvidia, Meta, Google, Microsoft, Tesla collectively lost about $1.49 trillion over a recent stretch in 2025
Microsoft has lost about $613 billion in market value this year in one Reuters report, tied to AI-related valuation concerns
Amazon shed about $343 billion in market value
Nvidia fell about $279 billion in another market selloff, and companies tied to its ecosystem also dropped sharply

The common thread wasn't operational failure.

It was expectation management.

Markets became extremely optimistic about AI-driven growth, and whenever reality failed to exceed those lofty assumptions, valuations adjusted rapidly.

That's the environment investors are navigating today.

Bottom Line

The market isn't questioning whether AI matters.

The market is questioning how much future growth should already be reflected in today's prices.

That's an important difference.

The structural drivers behind semiconductors, AI infrastructure, cloud computing, and digital transformation remain powerful. But after a prolonged rally, investors are demanding more discipline, more certainty, and more evidence that earnings growth can justify premium valuations.

For now, this looks like a reset rather than a rupture.

The next few weeks will likely come down to three things:

Bond yields and interest-rate expectations.
AI spending trends across large customers.
Earnings season and management guidance.

If those pillars remain intact, buyers may view this selloff as an opportunity.

If they weaken simultaneously, what is currently an orderly correction could become something more significant.

Markets are no longer paying for potential alone. They're paying for proof. And that's a very different game.

Newsletter with a perspective

The SpaceX Paradox

Capital Compounder — Sun, 21 Jun 2026 20:45:14 +0000

The 10 Best AI Stocks to Own in 2026

AI is moving from experiment… to essential.

Every major industry is integrating it.
Every major company is investing in it.

By late 2025, AI was already an $800B market — growing at a pace that could push it well beyond $1 trillion in the years ahead.

Cloud infrastructure is scaling fast.
AI-enabled devices are multiplying.
Automation is becoming standard.

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When trillions flow into this transformation — which stocks stand to benefit most?

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Key Takeaways

Why SpaceX may be the most fascinating company in the world
The difference between a great company and a great investment
Why AI may be more infrastructure than software
The valuation mistake investors keep making
Three lessons every investor should take away

Hi Compounders,

I recently listened to a conversation with Aswath Damodaran that started with SpaceX but quickly became a much broader discussion about investing, AI, valuation, and the stories we tell ourselves about the future.

What struck me most wasn't his view on SpaceX itself. It was his reminder that investors often confuse a great company with a great investment.

At first glance, that sounds counterintuitive. Surely the best companies make the best investments. Yet history suggests otherwise. A company can execute brilliantly, dominate its market, and change an industry while still delivering disappointing returns to investors if expectations become detached from reality. Investing isn't simply about identifying exceptional businesses. It's about understanding whether the future implied by today's valuation is realistic.

SpaceX is perhaps the perfect example. Most people think of it as a rocket company, but that description no longer captures what it has become. There is the launch business, which has fundamentally changed the economics of getting to space through reusable rockets. There is Starlink, a rapidly growing global communications network that has already become a meaningful business in its own right. And then there is the AI story, through xAI and its broader ambitions, which may ultimately prove to be the most valuable part of the company—or the most uncertain.

The challenge is that a significant portion of SpaceX's valuation today isn't tied to what the company is currently generating. It is tied to what investors believe it could become. The further a valuation depends on future possibilities, the more important it becomes to test the assumptions behind those possibilities.

One of Damodaran's observations that resonated with me was his criticism of how investors talk about large markets. We often hear phrases like, "The AI market is worth trillions of dollars," as though that alone settles the debate. But a large market does not automatically create a valuable business. Companies still need to acquire customers, defend market share, maintain pricing power, generate profits, and convert growth into cash flow. The history of investing is filled with examples of businesses that participated in enormous markets but failed to create meaningful value for shareholders.

The AI conversation is particularly interesting because it forces investors to answer a question that remains unresolved.

Is AI ultimately a tool, or is it a worker?

If AI primarily helps people perform their jobs more efficiently, then the opportunity is substantial. Productivity increases, businesses become more efficient, and economic output improves. But if AI begins replacing large portions of knowledge work—analysts, consultants, lawyers, developers, and other highly skilled professionals—the opportunity becomes dramatically larger. Ironically, the most optimistic forecasts for AI often depend on assumptions that would create the greatest amount of economic disruption.

Another point Damodaran raised is one that I don't think receives enough attention. Investors often compare AI businesses to software companies because software has historically been one of the most attractive business models ever created. High margins, low incremental costs, and extraordinary scalability have made software investors very wealthy over the past few decades.

But AI may not fit neatly into that framework.

Today's AI ecosystem requires enormous investments in computing infrastructure, semiconductors, energy, networking, and data centers. In many ways, AI looks less like software and more like infrastructure. That distinction matters because infrastructure businesses tend to generate very different economics than software businesses. If investors continue valuing AI companies as if they will eventually achieve traditional software economics, they may be overlooking an important risk.

This also explains why comparisons between AI and the dot-com boom feel incomplete. The internet boom was largely digital. The AI boom is deeply physical. It requires factories, chips, power generation, and massive data centers. The amount of capital being committed across the ecosystem is extraordinary. If expectations ultimately prove too optimistic, the consequences could extend well beyond stock prices and venture capital portfolios.

Underlying all of this is Damodaran's broader philosophy on valuation. He often argues that valuation is where storytelling meets discipline. The story matters because every investment begins with a view of the future. But stories alone are not enough. They must eventually translate into assumptions about revenue growth, market share, profitability, reinvestment needs, and cash flow generation.

The best investors are not purely spreadsheet-driven, nor are they purely narrative-driven. They move constantly between the two. They build a story, convert it into numbers, and then test whether those numbers make economic sense.

That framework feels especially relevant today because so much of modern value creation comes from assets that traditional accounting struggles to capture. Software, data, brands, intellectual property, algorithms, and organizational knowledge increasingly drive corporate value, yet many of these investments appear as expenses rather than assets. Investors who rely exclusively on traditional metrics may find themselves misreading some of the most important businesses of our time.

My biggest takeaway from the conversation was not about SpaceX, AI, or even valuation models. It was about expectations.

Markets are remarkably good at identifying great companies. The harder question is whether those companies are already priced for a future that may be difficult to achieve. As investors, our job is not simply to admire exceptional businesses. It is to determine whether the expectations embedded in their valuations are reasonable.

Damodaran summed it up with a simple observation that may be one of the most important principles in investing:

In an era defined by AI narratives, trillion-dollar opportunities, and extraordinary technological progress, that distinction feels more important than ever.

The challenge isn't finding great companies.

The challenge is figuring out how much of their future is already reflected in today's price.

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AI Leaders Drive Rally

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Key Takeaways

AI infrastructure stocks continued to lead the market, with data center, semiconductor, and connectivity names posting outsized gains.
Intel surged on reports of a potential Apple partnership, reinforcing the strategic importance of U.S.-based chip manufacturing.
Memory, semiconductor, and networking stocks remain among the strongest performers as AI spending accelerates.
Investors continue rewarding companies tied to AI buildouts, despite broader market volatility and macro uncertainty.

AI Infrastructure Remains the Market's Strongest Theme

Technology stocks powered markets higher this week as investors continued to rotate into companies enabling the next phase of artificial intelligence growth.

The Nasdaq gained nearly 2% on Thursday and finished the week strongly, supported by renewed confidence in AI-driven earnings growth and continued capital spending on data center infrastructure.

Market strategists highlighted that the AI narrative remains one of the strongest reasons investors continue favoring U.S. equities. Expectations that leading American companies will maintain control over advanced AI models and infrastructure continue to support premium valuations across the sector.

Intel Jumps on Potential Apple Partnership

One of the biggest winners of the session was Intel (INTC), which surged nearly 10% following reports that Apple may collaborate with Intel to design and manufacture chips in the United States.

If realized, such a partnership would represent a major milestone for domestic semiconductor production and could further strengthen Intel's turnaround story as it seeks to regain relevance in advanced chip manufacturing.

The development also underscores the growing strategic importance of securing AI and semiconductor supply chains within North America.

AI Data Center Ecosystem Posts Strong Gains

Companies supplying the infrastructure behind AI workloads led the market higher.

Teradyne (TER) advanced almost 6% as investors continued to favor semiconductor testing and equipment providers that benefit from increasing chip complexity.

Corning (GLW) gained more than 5%, reflecting optimism around optical networking and fiber connectivity demand needed to support expanding AI data center capacity.

These companies represent critical pieces of the AI value chain, providing the hardware and networking components required to scale next-generation computing environments.

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Memory and Semiconductor Stocks Extend Leadership

The strongest momentum remained concentrated within semiconductor and memory-related names.

SanDisk (SNDK) surged more than 11%, trading near all-time highs as demand expectations for AI-driven storage solutions continue to improve.

Western Digital (WDC) rallied nearly 10%, while Arm Holdings (ARM) climbed more than 7%, highlighting ongoing investor appetite for companies exposed to AI computing, storage, and chip architecture.

Meanwhile, Marvell Technology (MRVL) gained over 7% after receiving a significant price-target increase from analysts. The stock has now delivered an extraordinary multi-month advance, supported by growing demand for AI networking and custom silicon solutions.

Nvidia Continues to Anchor the AI Trade

Nvidia (NVDA) remained among the notable large-cap gainers as investors continued to view the company as the foundational beneficiary of AI infrastructure spending.

Despite elevated valuations across the AI sector, institutional buying activity suggests investors remain confident that demand for AI compute, networking, storage, and data center capacity will continue expanding through the remainder of 2026.

What Investors Should Watch

The next phase of the AI rally will likely depend on:

Enterprise AI adoption rates
Data center capital expenditure trends
Semiconductor demand forecasts
Progress in domestic chip manufacturing initiatives
Earnings guidance from major AI infrastructure providers

For now, market leadership remains firmly concentrated in the companies building the hardware, connectivity, and computing backbone of the AI economy.

Newsletter with a perspective

Fed Interest Rate

Capital Compounder — Thu, 18 Jun 2026 14:15:00 +0000

The 10 Best Cheap Stocks to Buy Now

The market is expensive… historically expensive.

Most of the biggest stocks are already fully priced. Capital has crowded into the same mega-cap names — making true value harder and harder to find.

By early 2026, institutional money had stayed concentrated. Smaller companies had been overlooked. And beaten-down names had been left behind.

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When the broader market is this expensive — which stocks are still cheap enough to offer real upside?

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Key Takeaways

• The Fed held rates steady at 3.5% to 3.75% for a fourth straight meeting
• Inflation forecasts rose to 3.6%, keeping pressure on policy
• New Chair Kevin Warsh is shifting toward a more flexible, less forward-guided Fed
• Growth is cooling but still solid at 2.2%, keeping recession risks contained

The Fed Has a New Chair, But Inflation Is Still Calling the Shots

Hi Compounders,

For the first time in years, the Federal Reserve has a new face at the top. Kevin Warsh officially stepped in as Fed Chair this week, and his first major decision was not to make one.

On Wednesday, the Fed voted unanimously, 12-0, to leave interest rates unchanged at 3.5% to 3.75%, marking the fourth consecutive meeting without a move. Rates have now been on hold since January, and despite earlier expectations for cuts, inflation remains the dominant concern.

Inflation Is Proving More Stubborn Than Expected

The Fed acknowledged that prices remain well above its 2% target, with energy costs and supply disruptions linked to the conflict in Iran adding fresh pressure. While the economy continues to grow at a steady pace, policymakers are becoming less confident about how quickly inflation will ease.

The latest projections reflect that shift. Officials now expect inflation to end the year at 3.6%, up from 2.7% in March. At the same time, growth is expected to slow slightly to 2.2%, while unemployment is projected at 4.3%, suggesting the labor market is still holding up.

Kevin Warsh Wants a Different Fed

Warsh’s first press conference signaled more than just policy continuity—it hinted at a style change.

He acknowledged inflation has remained above target for more than five years and described it as a persistent burden on households. But his emphasis was on changing how the Fed communicates going forward.

Rather than signaling every potential move, Warsh stressed a more flexible, data-driven approach. He also made clear the committee is aligned in its goal of bringing inflation under control.

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Five New Task Forces — Including One Focused on AI

Warsh announced five internal reviews covering how the Fed operates. These will examine policy tools, communication strategy, economic data quality, labor market dynamics, and the underlying drivers of inflation.

One group will specifically study how artificial intelligence could reshape productivity and employment, and what that means for monetary policy in the years ahead.

Importantly, the Fed is not revisiting its 2% inflation target until it demonstrates consistent success in hitting it.

Even with the leadership change, Jerome Powell remains on the Board of Governors and continues to vote on policy decisions.

Why Investors Shouldn’t Panic

Despite the firm tone, there is still a stabilizing backdrop underneath.

A Fed holding rates while growth stays positive is very different from one reacting to economic stress. With growth near 2.2% and employment steady, the economy is expanding rather than contracting.

Another positive is reduced ambiguity. Markets have often struggled with constant shifts in Fed communication. Warsh’s preference for fewer forward signals may reduce some of that noise.

Most analysts still expect the next move to eventually be a rate cut, but the timeline has clearly been pushed further out.

The bottom line is that the Fed may have a new leader, but the inflation fight continues. The backdrop remains a slow-growth, steady-economy environment—challenging, but not unstable.

Newsletter with a perspective

SpaceX is up 50%

Capital Compounder — Wed, 17 Jun 2026 18:00:00 +0000

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Key Takeaways

SpaceX is being valued as a technology and AI infrastructure company, not a traditional aerospace business.
Starlink's 10+ million subscribers and expansion into direct-to-phone connectivity could make it the company's largest long-term growth driver.
A potential Tesla-SpaceX merger remains speculative, but growing operational ties between Musk's companies have turned it into a credible market catalyst.
The integration of xAI, data center assets, and the planned Cursor acquisition gives investors direct exposure to the AI boom through SpaceX.

Hi Compounders,

A week ago, investors finally got what they had been waiting for years: a public listing of SpaceX.

The stock was priced at $135 per share. Within days, it traded above $200, pushing its gain past 50% and adding hundreds of billions of dollars in market value. By market capitalization, SpaceX briefly leapfrogged Amazon and entered the conversation alongside the largest technology companies on Earth.

That's remarkable for a company that, at its core, still launches rockets.

Or does it?

The market's reaction suggests investors no longer view SpaceX as an aerospace company.

If they did, the valuation would make little sense.

Traditional aerospace firms typically trade on government contracts, manufacturing capacity, and relatively predictable growth rates. SpaceX, meanwhile, is being valued like a technology platform.

And that's because investors are increasingly looking beyond the rockets.

Starlink now serves more than 10 million subscribers globally and has quietly become the company's largest revenue engine. The satellite internet business generated an estimated $12-15 billion in revenue last year and continues expanding into aviation, maritime connectivity, enterprise services, and now direct-to-smartphone communications.

The addressable market is enormous. Global telecommunications spending exceeds $1.8 trillion annually, and SpaceX wants a piece of it.

Then there's artificial intelligence.

Earlier this year, SpaceX absorbed xAI and X in a transaction that transformed the company's profile overnight. The public company investors are buying today owns launch infrastructure, satellite communications, AI models, data-center assets, and one of the largest social platforms in the world.

That's a very different investment proposition from a pure-play space company.

In fact, one could argue the market is beginning to value SpaceX less like Boeing and more like Nvidia.

The next major catalyst may not even come from space.

Speculation continues around a potential future combination with Tesla. The two companies already share infrastructure, talent, supply chains, and strategic initiatives. Tesla's earlier investment in xAI effectively gave Tesla shareholders indirect exposure to SpaceX even before the IPO.

Whether a merger ever happens is anyone's guess.

But the fact that investors are discussing the possibility at all shows how much the narrative has changed.

The bigger question now is whether the fundamentals can catch up to the excitement.

At a valuation approaching $3 trillion, investors are effectively betting that SpaceX can dominate multiple trillion-dollar industries simultaneously: communications, artificial intelligence, launch services, robotics, autonomous systems, and perhaps one day interplanetary transportation.

That's an extraordinary amount of optimism.

Then again, betting against Elon Musk's ability to build category-defining businesses has not been a particularly profitable strategy over the last decade.

For now, the market has made its choice.

SpaceX is no longer being valued on the number of rockets it launches.

It's being valued on the possibility that it becomes the infrastructure layer for the next era of technology.

And that's a much bigger story than rockets.

Anyways...

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Newsletter with a perspective

The Valuation Game of AI

Capital Compounder — Sun, 14 Jun 2026 23:25:51 +0000

Newsletter with a perspective

Quote of the week

“There is a certain peace that comes with knowledge - more than money”

Key takeaways from this edition of the newsletter

AI valuations are now approaching infrastructure-scale pricing

Governments increasingly view frontier AI as strategic assets
Semiconductor firms remain the clearest monetization winners
Markets are beginning to worry about infrastructure oversupply
The AI boom is shifting from applications to physical infrastructure

Let us understand the Valuation Game of AI

The companies at the center of AI race are starting to look less like software firms and more like a mix of utilities, defense contractors, and financial assets. The amount of money flowing into AI infrastructure right now is enormous, and honestly, parts of the market are beginning to feel overheated.

The biggest story this week was Anthropic’s new funding round. According to Reuters, the company raised funding at a valuation reportedly approaching $965 billion — a number that would place it near the most valuable public companies in the world on paper. - Anthropic Valued at 965B

That number is staggering when you think about it. Anthropic is still essentially an AI model company selling enterprise access and APIs, yet investors are now valuing it like foundational global infrastructure. At this pace, AI startups are skipping the awkward “profitable business” phase entirely and heading straight to “strategic civilization asset.”

This says a lot about where investor psychology is right now.

Wall Street is no longer valuing AI companies like software startups. Investors are betting that a few dominant AI firms could eventually control the next layer of the digital economy — similar to how Google controlled search or how AWS became core internet infrastructure.

Whether those expectations are realistic is another question entirely.

The other thing that stood out this week is how tightly AI is becoming tied to governments and national security.

The Pentagon’s ongoing AI partnerships and negotiations with companies like OpenAI, Microsoft, Google, and others show that governments now see frontier AI models as strategic infrastructure. AI is no longer just a commercial product; it’s increasingly being treated like energy infrastructure or semiconductor manufacturing.

There’s also growing tension underneath the surface. Some AI companies want defense contracts because the money and influence are enormous. Others are more cautious about military use cases. Anthropic, in particular, has reportedly been more hesitant about unrestricted military deployment of its models — which, in Silicon Valley terms, now qualifies as being “moderately conservative.”

At the same time, the U.S.–China AI competition keeps escalating.

A lot of the real battle is now happening around semiconductors rather than chatbots. Export controls on advanced AI chips continue tightening because governments understand that whoever controls compute controls AI development.

And that brings us to the semiconductor companies — which honestly still look like the biggest winners in the entire AI boom.

NVIDIA remains at the center of everything. Every major AI company still depends heavily on Nvidia GPUs. But this week also showed that large AI firms are trying very hard to reduce that dependence.

Google is expanding TPU deployments. Microsoft is working on custom AI chips. Broadcom has quietly become one of the most important players in AI infrastructure through custom accelerator partnerships.

What’s interesting is that the market narrative is slowly shifting.

A year ago everyone was talking about chatbots. Then it became AI agents. Now the conversation is increasingly about infrastructure — chips, power, cooling systems, cloud capacity, and data centers. AI discussions now sound less like software conferences and more like industrial engineering meetings with unusually high stock valuations.

That shift matters because infrastructure businesses often end up making more durable money than application-layer software companies.

But this week also exposed something else that people in the industry are starting to whisper about more openly: overbuilding.

The AI infrastructure buildout is happening at incredible speed. Massive GPU clusters, new data centers, power agreements, and cloud expansion projects are being announced constantly.

The assumption behind all of this spending is that AI demand will keep growing exponentially.

Maybe it will.

But there are now early signs that some companies want flexibility in case demand doesn’t fully match expectations. Reuters reported this week that Elon Musk clarified SpaceX had not committed to a long-term lease arrangement tied to AI infrastructure expectations the way earlier reports suggested. - Musk says SpaceX not committed to long-term lease with Anthropic

That might sound like a small detail, but it’s important.

It suggests that even major players are trying to avoid locking themselves into massive long-duration infrastructure bets too aggressively.

That’s usually what happens when markets start getting nervous about oversupply risk.

The stock market still loves the AI trade for now. Semiconductor companies continue looking strongest because they’re making money regardless of which AI model eventually wins.

NVIDIA still looks dominant. Broadcom keeps gaining importance. AMD and Micron Technology continue benefiting from the demand cycle. Investors still see multi-year AI infrastructure spending ahead.

But the easy phase of the AI rally may be ending.

The market is starting to ask harder questions:

Will AI companies actually achieve sustainable margins?
Will enterprise customers generate enough ROI?
Can infrastructure spending stay this high indefinitely?
What happens if models become cheaper and more efficient faster than expected?

Right now, the industry feels like a mix of genuine technological transformation and classic late-cycle market euphoria.

Both things can be true at the same time.

The most likely outcome probably isn’t an AI collapse. It’s consolidation. A small number of companies could become extraordinarily powerful while many smaller AI startups disappear under infrastructure costs and competition pressure.

And increasingly, the real power may belong less to the chatbot companies and more to the firms supplying the chips, compute, and energy behind them

- - -

Additional Reading

Breakingviews - OpenAI’s IPO has a Sam Altman problem

The ChatGPT ⁠maker faces key hurdles, rising competition and apparent strategic missteps. With $600 bln in computing power to fund and ‌arch-rival ⁠Anthropic perhaps edging ahead, its CEO’s decisions — and controversies — invite ⁠fresh scrutiny ahead of a listing.

Reuters

With nearly $1 trillion valuation, Anthropic dethrones OpenAI as most valuable AI company

Anthropic is now the artificial intelligence king in Silicon Valley – unseating rival OpenAI as the most valuable AI company after a new whopping $965 billion valuation. The AI giant said Thursday…

New York Post

Pentagon reaches agreements with top AI companies, but not Anthropic

The Pentagon said on Friday it had reached agreements with seven AI companies to deploy their advanced ‌capabilities on the Defense Department's classified networks as it seeks to broaden the range of AI providers working across the military.

Reuters

3 ETFs For 2026 & Beyond

Capital Compounder — Sat, 13 Jun 2026 04:00:00 +0000

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Key takeaways

AI's biggest opportunity may be infrastructure, not tech stocks.
XBM benefits from rising demand for copper and industrial metals.
ZAP is a bet on growing electricity needs driven by AI and electrification.
XMD provides diversified long-term growth through Canadian mid-cap companies.

1. iShares S&P/TSX Global Base Metals Index ETF (XBM) – The Most Direct AI Infrastructure Bet

Most investors think the AI boom is about buying semiconductor companies. That was true in 2023 and 2024. Going into 2026, the bottleneck is increasingly becoming physical infrastructure.

A single large AI data center can consume as much electricity as a small city. Building these facilities requires enormous amounts of copper, steel, aluminum, transformers, cooling equipment and transmission infrastructure. Copper is particularly important because it is used in power distribution, networking equipment, transformers and cooling systems.

The International Energy Agency has repeatedly warned that global copper demand is expected to outpace supply growth over the coming decade. Major mining companies have also highlighted that new copper discoveries are becoming rarer and more expensive.

This is where XBM becomes interesting.

Instead of trying to pick the next copper winner, XBM owns many of the world's largest diversified mining companies. Companies such as BHP Group, Rio Tinto and Freeport-McMoRan are not speculative miners. They are some of the largest producers of copper and industrial metals globally.

What makes XBM attractive is that you are not betting on one mine or one country. You are betting on a structural shortage of industrial metals that may emerge as AI infrastructure, EV adoption and grid modernization all compete for the same resources.

The risk is obvious. Mining stocks are cyclical. If global growth slows or China enters a prolonged slowdown, metal prices can drop sharply and these stocks can underperform for years. Investors need patience.

My investment thesis is that AI data centers, electrification and energy transition projects are likely to create a decade-long demand tailwind for industrial metals. If that thesis is correct, XBM may be one of the most overlooked AI-related investments available to Canadian investors.

For a TFSA investor, XBM offers potentially tax-free capital gains from a theme that could remain relevant well into the 2030s.

2. Global X U.S. Electrification ETF (ZAP) – The Hidden Winner of the AI Era

If someone had asked in 2023 what AI needed most, the answer would have been GPUs.

If you ask the same question in 2026, the answer may increasingly be electricity.

Major AI operators are now openly discussing power constraints. Data center operators are signing long-term power agreements and utilities across North America are revising electricity demand forecasts upward because of AI workloads.

The average ChatGPT query uses many times more computing resources than a traditional internet search. Multiply that by billions of AI interactions and the electricity requirement becomes enormous.

ZAP is essentially a bet on that reality.

Rather than owning technology companies directly, it owns the businesses that make electrification possible. These include utility companies, transmission infrastructure firms, grid modernization companies and electrical equipment providers.

What makes this ETF compelling is that it benefits from multiple trends simultaneously.

Even if AI adoption slows, electrification of transportation continues.

Even if EV growth slows, power-grid modernization continues.

Even if grid spending pauses, industrial reshoring in North America continues.

In other words, several independent trends support the same investment thesis.

Historically, infrastructure investing has been less glamorous than technology investing. Yet many of the largest fortunes during industrial revolutions were made by those who owned the infrastructure rather than the end product.

The risk is that ZAP is a relatively young ETF. It does not yet have the long performance history of established funds. Investors are therefore relying more heavily on the underlying theme than on historical returns.

If AI spending continues growing at its current pace, I believe this ETF has the highest upside potential among the three because it sits directly at the intersection of AI, power demand and infrastructure investment.

For growth-oriented TFSA investors, this would be my most aggressive long-term position.

3. iShares S&P/TSX Completion Index ETF (XMD) – The Quiet Compounder

XMD is the least exciting ETF on this list.

That is exactly why I like it.

Most investors focus on Canada's biggest companies. They buy the banks, railways and energy giants that dominate the TSX.

The problem is that large companies often grow slowly because they are already enormous.

XMD focuses on Canadian mid-cap companies. These businesses are generally past the startup stage but still have significant room to expand.

Historically, mid-caps have often delivered higher long-term returns than large caps because they occupy a sweet spot between stability and growth.

Many future large-cap winners begin their journey as mid-caps.

Some get acquired at substantial premiums.

Others grow into national champions.

What investors often overlook is that mid-cap companies tend to be under-followed compared to Canada's banking giants. This creates opportunities for market inefficiencies.

XMD is essentially a diversified basket of these emerging businesses.

Unlike XBM, it is not dependent on commodity prices.

Unlike ZAP, it is not dependent on a single megatrend.

Instead, it gives exposure to the broader growth of the Canadian economy.

The downside is that mid-cap stocks tend to be more volatile during recessions. They usually have less access to capital and fewer resources than large corporations.

However, for investors with a 10- to 20-year horizon, this volatility can actually be beneficial because it creates opportunities to accumulate shares at lower valuations.

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If I had to rank them strictly for the next decade:

#1 XBM because copper and industrial metals are the foundation of AI infrastructure.

#2 ZAP because electricity demand could become the defining investment theme of the AI era.

#3 XMD because every portfolio needs a broad growth engine that is not dependent on one macro theme.

My preferred allocation would be approximately:

40% XBM
35% ZAP
25% XMD

This portfolio is unusual because it does not own the obvious AI names. Instead, it owns the industries that make AI possible: metals, electricity and economic growth. Historically, the biggest long-term investment opportunities often emerge not from the technology itself, but from the infrastructure that supports it.

Newsletter with a perspective

THE IPOs - SpaceX & Anthropic

Capital Compounder — Sun, 07 Jun 2026 04:00:00 +0000

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Quote of the week

“The biggest fortunes are often made when private innovation becomes public ownership”

Key takeaways from this edition of the newsletter

The IPO market is reopening, with several mega-cap technology companies preparing to go public.

SpaceX's $1.75T IPO could be the largest in history.
A SpaceX IPO makes a Tesla merger more realistic.
Anthropic's filing officially starts the AI IPO race.
Amazon, Alphabet, and space stocks could be major beneficiaries.

THE IPOs — SpaceX and Anthropic

Hey Compounders,

After several years of a largely dormant IPO market, the window appears to be reopening in a meaningful way.

Over the past month, two names have emerged at the center of investor attention: SpaceX and Anthropic. If current reports prove accurate, both companies could be headed toward public listings at valuations that would rank among the largest in market history. More importantly, their debuts may signal the beginning of a new cycle for growth investors, particularly in artificial intelligence and next-generation technology.

The company drawing the most immediate attention is SpaceX. Reports suggest Elon Musk's aerospace giant is preparing for a public debut at a valuation of approximately $1.75 trillion, with an offering that could raise as much as $75 billion. To put that into perspective, Saudi Aramco's record-setting IPO in 2019 raised $29.4 billion. A SpaceX offering of this magnitude would not simply break records—it would redefine them.

Interestingly, however, Wall Street's focus has already begun shifting beyond the IPO itself. The conversation increasingly revolves around what a public SpaceX could enable, particularly the possibility of a future combination between SpaceX and Tesla.

While such a transaction may sound speculative, there are structural reasons investors are taking the idea seriously. A merger between Tesla and SpaceX has always faced a significant hurdle: one company was public while the other remained private. A successful SpaceX IPO changes that dynamic overnight by giving SpaceX a publicly traded acquisition currency that could theoretically be used in a stock-for-stock transaction.

The speculation has gained further momentum because Musk's businesses have become increasingly intertwined. Earlier this year, xAI was reportedly folded into the broader Musk ecosystem, creating a blueprint for consolidation. Tesla has invested capital into Musk's AI initiatives, while SpaceX and Tesla continue collaborating on infrastructure projects. The two companies are also connected through major purchases and shared investments in AI, energy, robotics, and computing infrastructure.

Supporters of a potential merger argue that the strategic logic is compelling. Tesla currently carries a market capitalization of roughly $1.65 trillion, while SpaceX is targeting a valuation near $1.75 trillion. Together, the combined entity would approach $3.4 trillion, making it one of the most valuable companies in the world.

The bullish thesis centers on vertical integration. Tesla contributes manufacturing expertise, battery technology, autonomous driving systems, and robotics initiatives such as Optimus. SpaceX brings launch capabilities, Starlink's satellite network, space infrastructure, and potentially future space-based computing assets. Combined, investors would gain exposure to transportation, energy, AI, robotics, communications, and aerospace through a single company.

Not everyone is convinced, however. While some analysts have placed the probability of a merger as high as 80% to 90% over the next several years, prediction markets remain more cautious, with estimates closer to 50%. The skepticism is understandable. A transaction of this size would have no modern precedent and would require approval from boards, shareholders, and regulators. Determining a fair valuation framework alone would be a monumental challenge.

For now, the merger discussion remains secondary. The first test is whether SpaceX can successfully enter public markets and justify the ambitious valuation being discussed.

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Anthropic Fires The Starting Gun In The AI IPO Race

While SpaceX dominates headlines, another development may ultimately prove just as significant.

On June 1st, Anthropic confidentially filed paperwork with the SEC, becoming the first major frontier AI company to formally begin the IPO process. The move positions Anthropic ahead of OpenAI in what is increasingly becoming a race to public markets.

For investors, the timing is notable. Since the emergence of generative AI, much of the value creation has occurred within private companies that remain inaccessible to public shareholders. Anthropic's filing suggests that dynamic may soon begin to change.

The company's recent growth has been remarkable. Following its latest financing round, Anthropic was reportedly valued at approximately $965 billion, placing it within striking distance of the trillion-dollar threshold. Reports also indicate that the company has achieved an annualized revenue run rate approaching $47 billion, driven largely by enterprise adoption of its Claude AI platform.

Perhaps most importantly, Anthropic is reportedly approaching profitability. If confirmed in a future public prospectus, that would distinguish the company from many high-growth technology firms that continue prioritizing expansion over earnings. In an environment where investors are increasingly rewarding sustainable business models, profitability could become a major differentiator.

The broader implications extend beyond Anthropic itself. Both Amazon and Alphabet have invested heavily in the company and stand to benefit significantly from its success.

Amazon has invested approximately $13 billion in Anthropic since 2023, while Alphabet has committed up to $40 billion, including an initial $10 billion investment and additional capital tied to performance milestones. Beyond equity ownership, both companies provide critical infrastructure through Amazon Web Services and Google Cloud.

As Anthropic scales its AI operations, the demand for computing power, cloud infrastructure, and specialized AI chips should continue growing. As a result, investors seeking exposure to the AI ecosystem may find opportunities not only in AI developers themselves but also in the companies supplying the underlying infrastructure.

A Smaller ETF Positioned For The SpaceX Wave

One of the more interesting beneficiaries of the SpaceX excitement has been the recently launched Tema Space Innovators ETF (NYSE: NASA).

The fund debuted on March 31st and has attracted attention because it offers something few public vehicles can: direct exposure to SpaceX before its anticipated public listing.

Approximately 10% of the portfolio is allocated to SpaceX through a special-purpose vehicle structure. The remainder of the fund consists of companies operating across the broader space economy, including satellite communications, launch services, earth observation, and space infrastructure.

Investors have taken notice. Shares of the ETF rose roughly 17% within weeks of launch as speculation surrounding the SpaceX IPO intensified.

The appeal extends beyond the direct SpaceX position. If SpaceX debuts at a valuation near $1.75 trillion, the ripple effects could spread throughout the entire sector. Major indices may need to rebalance, analysts will publish valuation comparisons, and institutional investors seeking related opportunities will likely examine companies operating in adjacent markets.

That dynamic could benefit many of the holdings already present within the NASA portfolio.

Of course, the risks should not be ignored. At a valuation approaching 95 times trailing revenue, SpaceX would enter public markets with extraordinarily high expectations. If investor demand falls short or the IPO prices below expectations, sentiment could reverse quickly. Given NASA's concentrated exposure, the fund would likely experience both the upside and downside associated with that outcome.

The Bigger Picture

Stepping back, the broader story is not simply about SpaceX or Anthropic.

It is about the return of public market access to some of the world's most important growth companies.

For much of the past decade, investors watched as value creation increasingly occurred in private markets. Companies stayed private longer, raised enormous amounts of venture capital, and delayed public listings well beyond what was historically typical.

That trend may finally be changing.

A $1.75 trillion SpaceX IPO, a potential $965 billion Anthropic listing, and an eventual OpenAI filing would represent one of the most significant waves of technology offerings in modern market history.

Valuations remain a critical question, and investors should be careful not to confuse great businesses with great investments. Nevertheless, after years of limited opportunities, public market investors may soon have access to a new generation of transformative companies.

If these listings move forward, the next twelve months could become one of the most consequential periods for IPO markets in decades.

And for long-term investors, it is a development worth watching closely.

Liked this news letter?

You might be interested in reading our previous newsletter as well

The Valuation Game of AI

Capital Compounder • Capital Compounder

Additional Reading

Anthropic files to go public in a potentially trillion-dollar debut - Egypt Independent

Anthropic on Monday said it filed plans for an initial public offering, setting it up for a share sale that could value the company in the trillion-dollar range as it races against rival OpenAI.

Egypt Independent • CNN

Elon Musk’s $1.8 Trillion SpaceX IPO: Is It a Good Investment?

SpaceX is a spectacular company, but with a stock price of $135, the risks outweigh reward.

barrons • Al Root|

Until next week, keep compounding …
_{Capital Compounder}

Newsletter with a perspective

The Secret of U.S. Resilience

Capital Compounder — Tue, 02 Jun 2026 15:10:02 +0000

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Why the U.S. Economy Keeps Outperforming the Rest of the Developed World

_{Over the past 35 years, the United States has achieved something few advanced economies have managed: strong economic growth combined with remarkable stability. Most countries face a tradeoff between growth and resilience. Faster-growing economies tend to be more volatile, while stable economies often accept slower growth. The United States has largely avoided that tradeoff.}

Among major developed nations, America has consistently delivered above-average growth while experiencing relatively low economic volatility. This pattern has repeated itself across multiple crises, from the Global Financial Crisis to the COVID-19 pandemic.

The question is simple: Why does the U.S. economy recover faster, innovate more successfully, and sustain stronger long-term growth than most of its peers?

America’s Unusual Economic Record

Most advanced European economies have averaged annual GDP growth of roughly 1.3–1.5% over the past three decades, accompanied by moderate economic volatility. Countries such as Italy and the United Kingdom have generally experienced both slower growth and greater instability.

Emerging economies often achieve higher growth rates, but they do so with significantly greater economic swings.

The United States occupies a unique position. It has generated average annual growth of approximately 2.5% while maintaining lower volatility than nearly every major developed economy. Only Australia has posted slightly lower volatility, aided in part by its unique exposure to China's commodity boom and its avoidance of recession between 1992 and 2019.

Even more impressive is America's ability to recover quickly from major economic shocks.

The Pandemic Stress Test

COVID-19 provided one of the clearest economic stress tests in modern history. Every major economy faced the same external shock at roughly the same time.

Yet outcomes varied dramatically.

The U.S. economy contracted by 2.2% in 2020, significantly less than many European peers. The United Kingdom contracted by 10.3%, Italy by 9.0%, and France by 7.7%.

The rebound was equally notable. U.S. GDP grew by 6.1% in 2021, resulting in cumulative growth of approximately 3.9% across the two-year period. Among G7 economies, the United States was the only country to emerge from the pandemic with a net positive growth outcome over those two years.

Labor market recovery told a similar story. Employment rebounded rapidly, and unemployment fell from a pandemic peak of 14.7% in April 2020 to 3.5% just over two years later—one of the fastest labor-market recoveries in modern economic history.

The Eight Foundations of American Economic Resilience

1. Flexible Labor Markets

The United States maintains one of the most flexible labor markets in the developed world.

Employment protections are relatively limited, union membership in the private sector has declined substantially over the past several decades, and businesses can adjust their workforce quickly when economic conditions change.

Critics often point to the social costs of this flexibility, but economically it allows firms to restore profitability quickly and rehire workers rapidly during recoveries. The result is a labor market that adjusts faster than those in many European countries, where stronger employment protections can slow both layoffs and subsequent recoveries.

2. The Dollar's Reserve Currency Advantage

The U.S. dollar remains the world's dominant reserve currency.

Because global central banks, sovereign wealth funds, and financial institutions have a structural need to hold dollar-denominated assets, the United States enjoys extraordinary borrowing capacity during crises.

This allows policymakers to deploy large-scale fiscal stimulus when needed. During the pandemic, the federal government financed trillions of dollars in emergency spending while maintaining access to historically low borrowing costs.

Few countries possess comparable financial flexibility.

3. Leadership in Technology

The United States dominates much of the global digital economy.

American firms control key sectors including cloud computing, software, internet search, social media, e-commerce, semiconductors, and increasingly artificial intelligence. These industries generate high-value employment, attract global capital, and drive productivity growth across the broader economy.

As AI investment accelerates worldwide, the concentration of technological leadership in the United States could become an even greater economic advantage.

4. Demographics and Immigration

Many developed nations face aging populations and shrinking workforces.

Japan, Germany, Italy, South Korea, and China are all experiencing demographic headwinds that weigh on long-term growth.

The United States remains one of the few major developed economies with a growing working-age population. Immigration has played a significant role in that growth, supplying labor, entrepreneurship, and innovation.

The country's ability to attract talent from around the world has become a competitive advantage that many rivals struggle to replicate.

5. Deep and Dynamic Capital Markets

American businesses have access to the world's deepest capital markets.

Unlike many European and Japanese firms, which rely heavily on bank financing, U.S. companies can raise capital through equity and bond markets at scale. This encourages entrepreneurship, accelerates innovation, and allows capital to flow quickly toward emerging industries.

The venture capital ecosystem is particularly important. American startups receive vastly more venture funding than their counterparts in most other developed economies, helping transform new ideas into globally competitive businesses.

6. A Federal System That Stabilizes Regional Shocks

The federal government serves as an automatic economic stabilizer.

When one state experiences economic hardship, federal programs such as unemployment insurance, disaster relief, and healthcare support automatically channel resources into affected areas.

This built-in redistribution mechanism helps cushion regional downturns and supports faster recoveries. Few multinational economic blocs possess a comparable system.

7. Geographic and Resource Advantages

The United States benefits from a combination of scale, geography, and natural resources that few countries can match.

A single currency, unified legal framework, integrated transportation network, and vast domestic market allow businesses to achieve efficiencies that are difficult elsewhere.

The shale energy revolution further strengthened America's position by reducing dependence on foreign energy supplies and lowering industrial costs. In addition, the country remains a major agricultural producer, reducing vulnerability to external food and commodity shocks.

8. Strong Institutions and Innovation Ecosystems

American economic success is also rooted in institutions.

Property rights, contract enforcement, capital markets, research universities, and a culture that rewards risk-taking all contribute to long-term growth.

Government-funded research programs have played an important role as well. Technologies such as the internet, GPS, advanced semiconductors, and many foundational innovations in artificial intelligence emerged from decades of public and private investment.

Together, these institutions create an environment where innovation can move efficiently from research laboratories to commercial markets.

The Bigger Picture

No economy is immune to recessions, policy mistakes, or structural challenges. The United States faces rising debt levels, political polarization, and growing international competition.

Yet the broader historical record remains striking. Across multiple decades and numerous crises, the American economy has repeatedly demonstrated an unusual ability to adapt, recover, and reinvent itself.

Its advantages are not rooted in any single industry or policy. Rather, they emerge from a combination of flexible labor markets, deep capital markets, technological leadership, favorable demographics, abundant resources, and strong institutions.

That combination helps explain why the United States continues to outperform many of its developed-world peers—and why predictions of long-term American decline have repeatedly proven premature.

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Dell 200% Up, AI Hype?

Capital Compounder — Mon, 01 Jun 2026 16:03:36 +0000

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Dell has been one of the market's biggest surprises.

Just a few years ago, most investors viewed Dell as a mature PC and enterprise hardware company. Today, it's increasingly being valued as a critical piece of the AI infrastructure buildout.

The latest earnings report explains why.

Dell reported quarterly revenue of $43.8 billion, crushing Wall Street expectations of roughly $35.5 billion. Adjusted earnings came in at $4.86 per share, versus analyst estimates of about $2.95 per share. Revenue grew 88% year-over-year, while earnings surged 214%.

The real story, however, was AI.

AI server revenue jumped 757% to $16.1 billion, while AI orders reached $24.4 billion during the quarter. Dell now sits on an AI backlog of more than $51 billion, giving investors confidence that demand isn't disappearing anytime soon. Management raised its full-year AI server revenue forecast from $50 billion to $60 billion.

This is why the stock has exploded.

The market no longer sees Dell as a laptop manufacturer. It sees Dell as one of the companies supplying the infrastructure behind the AI revolution. Every enterprise, cloud provider, and government agency rushing to deploy AI needs servers, storage, networking, and deployment expertise. Dell happens to sell all of those.

What's particularly interesting is that Dell still isn't priced like many high-growth AI companies. Based on management's updated fiscal 2027 EPS guidance of roughly $17.90, the stock trades at around 20–25 times forward earnings, depending on where the share price settles after the recent rally. That's far below many software and semiconductor companies benefiting from the same AI theme.

Of course, expectations have changed dramatically.

After a 200% move, investors are no longer paying for potential—they're paying for execution. The key question is whether today's AI spending boom represents the beginning of a multi-year infrastructure cycle or a temporary surge driven by early adoption.

For now, the numbers suggest the trend remains intact. Dell isn't just participating in the AI boom; it's becoming one of the primary beneficiaries of it.

The next few quarters will determine whether Dell deserves its new AI valuation. But based on the latest earnings report, investors have a compelling reason to believe this story still has room to run.

India-Canada Rapid Reset

Capital Compounder — Sun, 31 May 2026 21:44:21 +0000

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When India's Commerce and Industry Minister, Piyush Goyal, landed in Canada for a three-day visit, the agenda on paper looked straightforward: trade talks, investment meetings, and discussions around a long-awaited economic partnership agreement.

In reality, the visit carried far more weight.

For the first time in years, India and Canada appeared to be moving beyond a period of diplomatic strain and focusing on something both countries understand exceptionally well: economic opportunity. The timing was significant. Relations between Ottawa and New Delhi had been under pressure since 2023, and while political differences have not disappeared, the tone surrounding this visit suggested that both sides are now more interested in building bridges than dwelling on past disputes.

Goyal arrived with what was described as one of India's largest-ever business delegations to Canada, bringing more than 100 business leaders and industry representatives. The delegation's presence sent a clear message: India is not merely exploring opportunities in Canada; it is actively seeking to deepen economic engagement across sectors ranging from critical minerals and clean energy to technology, manufacturing, and artificial intelligence.

The visit began in Ottawa, where Goyal met with Canada's Minister of International Trade, Maninder Sidhu, before engaging with senior government officials and business stakeholders. Discussions quickly centred on reviving momentum around the Comprehensive Economic Partnership Agreement (CEPA), a trade pact that both countries hope will unlock substantially greater commercial activity.

What stood out was the ambition.

Speaking during the visit, Goyal outlined a goal of tripling bilateral trade from roughly US$17 billion today to US$50 billion by 2030. That is an aggressive target by any measure, but it reflects a growing recognition that India and Canada have complementary strengths. Canada possesses abundant natural resources, advanced technology capabilities, and substantial investment capital. India offers scale, manufacturing capacity, a rapidly expanding consumer market, and one of the world's fastest-growing major economies.

The conversations were not limited to government boardrooms. Goyal also met major Canadian pension funds, institutional investors, and business leaders, encouraging deeper participation in India's growth story. Areas such as digital infrastructure, clean energy, advanced manufacturing, and AI featured prominently in discussions, signaling that the relationship is increasingly being viewed through a future-focused lens rather than a traditional trade-only framework.

Perhaps the most pragmatic aspect of the visit was the acknowledgement that trade negotiations work best when both sides focus on achievable outcomes first. Rather than becoming bogged down in politically sensitive sectors, India and Canada appear to be concentrating on areas where mutual gains are obvious and immediate. Goyal described the approach as focusing on "low-hanging fruit" and areas of convergence—a strategy that may prove more effective than attempting to solve every contentious issue at once.

Another tangible outcome was the launch of a new India–Canada Trade and Investment Forum, designed to create a more structured channel for businesses in both countries to engage with each other. While forums and announcements rarely grab headlines, they often become the infrastructure that supports larger commercial relationships over time.

The broader takeaway from the visit is simple.

Economics is becoming the vehicle through which India and Canada are rebuilding confidence in their relationship.

Neither side is pretending that every issue has been resolved. But diplomacy is often measured not by the absence of disagreement, but by the willingness to keep talking despite it. Over three days in Ottawa and Toronto, that willingness was on full display.

For businesses, investors, and policymakers watching from both sides of the Atlantic, the message was encouraging. The relationship is no longer stuck in neutral. Whether the ambitious trade targets are ultimately achieved remains to be seen, but one thing is clear: India and Canada are back at the table, and this time the conversation is being driven by opportunity.

India-Canada Partnership Reset

Glimpses of my highly productive visit to Canada. 🇮🇳🤝🇨🇦 The engagements reaffirmed the renewed momentum in India-Canada relations & our shared commitment to advancing mutual growth and prosperity. | 13 comments on LinkedIn