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There is widespread pessimism. I've been meeting with investors since September 28th, and they're very skeptical about this AI boom, which many consider a " bubble." But you are also right on the other hand: if we see failures, rising financing costs, or cancellations of AI IPOs, it will trigger even more risk aversion.
I believe that the third quarter reports will restore confidence in AI. I also believe that the midterm elections will be a kind of cleansing phase: once they are behind us, the political pressure on AI stocks will ease, even if the Democrats take the Senate. But, fundamentally speaking, I believe that such concentration makes sense.
I would rather see several companies incentivize spending. First, it's logical because it shows the moats that are being created, and, by the way, all of these companies are predominantly American businesses . It's really not that different from financial giants. I haven't heard people say that the financial industry is too concentrated because JP Morgan and Goldman are so big.
And that's exactly what's happening now with AI. As you just heard from Tom Lee, the market is now like a compressed spring, trapped under a powerful layer of retail investor skepticism, paranoia over rate hikes, and fear of headlines. While Wall Street pundits call this structural growth an “AI bubble” and panic about short-term concentration, hard institutional data proves a very different reality.
Hyperscale technology spending is projected to exceed $700 billion, driven by unstoppable corporate commitments, long-term energy supply agreements, and years of data center construction that cannot simply be stopped or postponed. This massive wave of capital is driving more than half of the earnings growth of S&P 500 companies, creating an unprecedented fundamental "moat" around the market's major operating leaders .
The basic mechanisms are extremely robust. American households hold over $10 trillion in annual investment income, generated by high base rates, creating a huge “ cash cushion” that is actively reinvested in risky assets rather than provoking panic due to a lack of liquidity. With the third quarter reports, corporate balance sheets will show that corporate monetization is accelerating, and the completion of political cycles and stabilization of energy prices will eliminate artificial discount rates.
The broader market is poised for rapid growth as capital that has been on the sidelines returns to the fundamental engine of modern global productivity. To appreciate the full scope of this trajectory, we must consider the three dominant market titans that are at the epicenter of this hardware and software expansion.
First, we will look at a powerful server and data center company that translates massive capital investments directly into physical computing infrastructure. Second, we look at the world’s leading enterprise software that has built robust security by becoming model- neutral and ensuring robust user adoption across all major AI platforms .
Finally, we analyze the undisputed semiconductor architect that is enabling global computing transformation and operates with an order book that guarantees stable cash flow for years to come. Let's start with our first choice—the physical equipment giant that transforms this powerful flow of corporate capital into colossal scale of operations.
Dell Technologies Inc., ticker DELL. Essentially, Dell is a major engine of high-performance computing infrastructure, providing enterprise AI servers, data storage, and commercial PC ecosystems to the world's largest organizations. The company's recent performance indicators indicate an unprecedented surge in demand.
Dell reported record quarterly revenue of nearly $47 billion, a massive 58% year-over-year increase that far exceeded analysts' forecasts. Even more impressive is that operating leverage increased non-GAAP operating profit by 160%, driving a 43% increase in earnings per share and a 224% jump in adjusted free cash flow.
The growth in order volume underscores this dynamic. Orders for AI-optimized servers have increased by almost 1,000% year-over-year, while AI bookings have exceeded $131 billion in the past 12 months , bringing the AI backlog to an impressive $95 billion. Looking to the future, Dell's Catalyst portfolio goes far beyond traditional hardware deployments.
Management recently made a major forecast revision, raising expected annual revenue to $192 billion and increasing earnings estimates by 42 %. Operating expenses have fallen to an extremely efficient 8% of total revenue, the lowest cost structure in the company's history. Importantly, international expansion opens up broad growth channels, aided by a major strategic partnership with JERA and RYOHM to build up to 400 MW of AI infrastructure connected directly to the power grid in Japan.
In addition to server racks, a legacy base of 1.2 million older servers is driving a parallel upgrade cycle for traditional computing, while demand for proprietary storage solutions continues to grow. Despite significant price increases over the past year, Dell shares continue to trade at a significant forward discount to the rest of the IT sector.
he company offers extremely attractive risk- return dynamics as global corporations rush to build out physical computing infrastructure. Moving from physical server racks to the platform level, our second company is an enterprise software titan that spreads intelligence across global business processes.
Microsoft Corporation, ticker MSFT. While many investors are focused solely on the tens of billions in capital expenditures required to build out infrastructure, Microsoft is making a much more strategic evolution, creating an enterprise system that monetizes intelligence regardless of where the computing power is located.
The company's operational strength continues to grow thanks to its key cloud and productivity solutions. Total quarterly revenue grew 17% year- over-year to $90 billion, driven by strong acceleration in Azure cloud revenue, which grew 43% as enterprise demand consistently outpaced available capacity.
Commercial orders rose 11% in constant currency, while outstanding contract commitments jumped 84% year-on-year to $678 billion . On the software front , Microsoft 365 Copilot adoption reached a major milestone, surpassing 30 million paid jobs, while GitHub Copilot users grew to 50 million , and revenues accelerated by over 60% after moving to flexible pay-per- use models.
A unique advantage of Microsoft's positioning is its strategic shift towards a model-agnostic architecture. By allowing enterprise customers to easily switch between models from OpenAI, Anthropic, Mistral, and their own, Microsoft is decoupling the monetization of its software from single-vendor dependency and turning computing into a fungible commodity .
As the company advances hybrid intelligence, monetizing workflow orchestration , identity, security, and enterprise data, a growing share of data inference costs could be shifted to customer hardware. Meanwhile, internal innovations like specialized Maia chips are delivering up to 89% reductions in GPU costs in enterprise applications like Dynamics 365.
With commercial cloud revenue forecast to continue accelerating as new capabilities are launched, Microsoft is combining structural reliance on its software with an unmatched enterprise distribution network. Trading near historical valuation averages relative to expected long-term earnings growth, Microsoft stands out as a key driver capable of converting the global shift to autonomous AI agents into sustainable, highly profitable software revenues.
Finally, completing our fundamental AI trilogy is the master semiconductor architect supplying the silicon engines for this global computing transformation—Nvidia Corporation, ticker NVDA. Working at the heart of data center development, Nvidia delivers the necessary GPU architectures, networking stacks, and software platforms that transform electricity into high-performance artificial intelligence.
The scale of external demand fueling Nvidia's financial growth is extraordinary. Rather than relying on speculative momentum, the company recorded more than $15.6 billion in upfront payments from customers in the first half of the fiscal year alone, converting more than $13 billion directly into recognized revenue upon shipment of equipment.
Large cloud hyperscalers and third-party infrastructure providers are securing multi-billion dollar upfront commitments, proving that organic enterprise demand continues to outpace available supply. Nvidia generated an impressive $127 while maintaining a leading gross margin of over 72%. To ensure customer adoption stays ahead of global financial bottlenecks, Nvidia is using its massive balance sheet as a catalyst for data center expansion.
The company has established strategic partnerships with major private lending and asset management platforms, securing up to $500 billion in external equipment spending through targeted residual value guarantees and credit support. This strategic opportunity allows customers to secure site power, land, and physical infrastructure, opening up access to multi- gigawatt power facilities, such as the massive 4.25 gigawatt campus in Ohio, ensuring multi-year visibility for deployment of Blackwell and next-generation Rubin architectures.
While short-term news volatility sometimes affects market sentiment, Nvidia's long-term valuation reflects impressive operating discipline. Trading at around 24 times expected earnings , a significant discount to the historical 5- year average and approaching 15 times expected multi-year earnings, the stock remains a high-confidence underlying asset for Tom Lee.
As global capital commitments grow towards multi-trillion dollar infrastructure milestones, Nvidia remains a key indispensable engine defining the future of computing. As global capital commitments approach multi-trillion dollar thresholds, these three market titans—Dell, Microsoft, and Nvidia— are proving that the structural expansion of AI is based on real balance sheet cash flows, not hype.
Being at the center of hardware infrastructure, enterprise software distribution, and fundamental semiconductor design, they remain major players to watch as this historic market situation unfolds.
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