CoreWeave has completed one of the more striking pivots in the technology sector, transforming itself from a cryptocurrency mining operation into a major supplier of computing power for artificial intelligence—an evolution its chief executive says was rooted in technical curiosity as much as timing.

Michael Intrator, the company’s cofounder and CEO, traced that transition to its early immersion in crypto infrastructure, where mastering graphics processing units, or GPUs, became a necessity rather than a strategic choice.

“We’re pretty nerdy, we dig under the hood,” Intrator said in an interview recorded at Nvidia GTC.

That hands-on familiarity with GPUs would later prove decisive. CoreWeave began as an Ethereum mining operation, building out large-scale compute clusters during a period when digital assets drove demand for parallel processing power. The company endured repeated downturns in the sector, including the 2018 crash in Bitcoin, when prices fell from nearly $20,000 to around $3,000 within a year.

“We weathered crypto winter really well and immediately started to look for other use cases,” Intrator said.

That search for alternative applications led to a broader shift in how the company viewed its infrastructure. Rather than tying its business model to a single asset class, CoreWeave began treating compute capacity as a flexible resource that could be redirected as demand evolved. When generative AI surged following the release of ChatGPT in 2022, the company was already positioned to supply the most critical input: GPU power.

Today, CoreWeave provides large-scale computing infrastructure to AI developers and cloud platforms, including relationships with Nvidia and Microsoft. The company has described itself as the “first true hyperscaler,” an assertion that places it in competition with established cloud providers while also signaling its focus on AI-specific workloads rather than general-purpose computing.

The scale of that ambition is reflected in its valuation. CoreWeave’s market capitalization stood at about $43.6 billion as of Tuesday, underscoring investor appetite for companies positioned at the center of the AI infrastructure buildout.

Scrutinizing the Growth

Yet the model is drawing scrutiny. Unlike traditional cloud providers that built infrastructure over decades, CoreWeave has expanded rapidly through aggressive financing, raising tens of billions of dollars—much of it debt—to fund data centers and GPU acquisitions. That approach has prompted questions about sustainability, particularly if demand growth slows or pricing power weakens.

Kerrisdale Capital, which disclosed a short position in the company, argued that CoreWeave “isn’t pioneering the future of AI—it’s a debt-fueled GPU rental business with no moat.” The critique centers on the idea that access to GPUs, while currently scarce, may not constitute a durable competitive advantage as more capacity enters the market.

But Intrator rejected that characterization, pointing instead to what he describes as innovation in financial engineering as well as infrastructure deployment. In the interview, he outlined a model that bundles customer contracts, hardware assets, and data center agreements into a single structure designed to manage cash flow and de-risk investment.

“It’s called a box,” he said, describing an arrangement in which payments from customers are used to service debt, cover operating costs, and generate returns. “What’s important to understand is the economics in this box are such that within 2.5 years of a five-year deal, we have paid for everything.”

That structure effectively front-loads risk while aiming to accelerate cost recovery, a strategy that depends heavily on stable, long-term contracts with major clients. It is also seen as a part of a broader shift in the AI economy, where access to compute has become as critical—and as capital-intensive—as the development of the models themselves.

CoreWeave has also moved to shape its public image, launching an advertising campaign featuring Chance the Rapper as it seeks to position itself as a foundational player in the AI ecosystem rather than a transitional beneficiary of GPU scarcity.

The company’s trajectory illustrates a defining feature of the current technology cycle: the reallocation of infrastructure built for one digital boom into the backbone of another. Crypto mining, once seen as a niche and volatile industry, has in this case served as a proving ground for expertise that is now being redeployed at a far greater scale.

According to Tekedia Institute research, enduring category-king companies, firms that dominate and define their market, possess four distinct characteristics: they are perceptively innovative, evidently inspired, ruthlessly pragmatic, and customer-obsessed. These companies create new categories, redefine existing ones, and build moats to protect their market leadership:

• Perceptively Innovative: These companies do not just innovate based on current needs, but on customer perceptions to solve unmet needs, constantly improving products to set themselves apart.
• Evidently Inspired: They act as modern, trustworthy entities with a larger purpose, inspiring users and helping them live out their own values.
• Ruthlessly Pragmatic: They provide consistent, reliable, and high-quality experiences that make life easier, ensuring they make good on promises to customers.
• Customer Obsessed: These firms know exactly what matters to their customers, often becoming indispensable to the point where customers cannot imagine living without them.

Good companies meet customer needs. Great companies anticipate customer expectations. But category-defining companies go further, they win the perception of the customer. And when you control perception, you redefine the basis of competition and create disruption.

In my Harvard Business Review article, I used Apple as a case study. In “Mastering the Apple Game of Customer Perception” (2010), I examined how Apple leverages psychological pricing and engineered value perception to dominate markets. The insight is clear: winning in the market is not about competing on price alone, it is about reducing purchasing friction and shaping the customer perception. In other words, you create a perception where a product becomes cheaper even though price (i.e. amount) has not changed!

So the question is: do you want to simply serve customers, or do you want to shape how they think? If your goal is to move from meeting needs to influencing perception, then it is time to rethink your strategy. Join us at Tekedia Mini-MBA edition 20 starting in June.

The S&P 500 has slipped beneath its 200-day moving average, a technical breach that has historically marked the early stages of deeper market downturns and is now sharpening focus on the durability of the 2026 equity outlook.

The level, widely regarded as a dividing line between long-term bullish and bearish trends, carries weight not because it guarantees a sell-off, but because of its consistency as an early warning signal. Analysis from Lance Roberts shows the index has crossed below this threshold at the onset of every major bear market since 2000. In those cases, equities were typically lower six months later, with average declines approaching 5%, suggesting that weakness at this stage often extends rather than reverses quickly.

What makes the current episode notable is the backdrop against which it is unfolding. The market’s retreat is not being driven by a single shock, but by a convergence of pressures. Energy prices have surged, reintroducing inflation risk at a time when policymakers had hoped price pressures were easing.

Labor market data has softened, raising questions about the strength of the underlying economy. At the same time, rapid shifts tied to artificial intelligence are altering sector leadership, with capital rotating unevenly and leaving parts of the market exposed.

The result is a market that appears stable on the surface but is showing signs of internal strain. Breadth has weakened, with roughly 46% of S&P 500 constituents trading below their own 200-day moving averages. That figure points to a narrowing leadership base, where gains are concentrated in fewer names even as the broader index struggles to maintain upward momentum.

Momentum indicators are reinforcing that picture. The moving average convergence/divergence (MACD), a gauge of trend strength, has turned negative, signaling that downward momentum is building. Yet other markers of capitulation, such as a deeply oversold relative strength index or a decisive downward turn in the long-term trend itself, have not fully materialized. For Roberts, that places the market in a transitional phase, where risks are rising but a full bearish cycle has not yet been confirmed.

Surveys from the American Association of Individual Investors show caution is building, but not yet at levels typically associated with market bottoms. Historically, sustained downturns tend to coincide with broader pessimism, suggesting there may still be room for sentiment to deteriorate if conditions worsen.

Against that backdrop, attention is turning to positioning rather than prediction. Roberts argues that the prudent approach is to prepare for downside while retaining flexibility to re-enter if conditions stabilize.

The first adjustment is concentration risk. High-valuation, high-conviction positions, often clustered in growth and technology stocks, have driven much of the market’s performance in recent years but are also the most vulnerable in a correction. Trimming these exposures by 20% to 30% can reduce portfolio volatility without fully abandoning the potential for recovery.

Liquidity is the second pillar. Holding 10% to 15% of assets in cash provides optionality, allowing investors to take advantage of lower valuations if the market extends its decline. In periods of uncertainty, cash shifts from being a drag on returns to a strategic asset.

There is also a clear tilt toward quality. Companies with strong balance sheets, durable cash flows, and pricing power tend to outperform when growth slows and financing conditions tighten. This rotation often comes at the expense of speculative or high-growth names, which are more sensitive to changes in interest rates and earnings expectations.

Sector allocation is evolving along similar lines. Defensive industries such as utilities, healthcare, and consumer staples have historically offered relative resilience during downturns, supported by stable demand regardless of economic conditions. Their recent outperformance suggests investors are already repositioning for a more cautious environment.

Risk management is becoming more explicit in cyclical areas. Tighter stop-loss thresholds, typically in the range of 7% to 10%, are being used to limit downside exposure in sectors that are more closely tied to economic cycles.

Fixed income, often overlooked during equity rallies, is also regaining relevance. Extending duration modestly into intermediate-term Treasurys offers both higher yields and potential price appreciation if economic weakness leads to lower interest rates.

The broader picture is one of a market at an inflection point. The break below the 200-day moving average does not confirm a bear market, but it removes a key layer of technical support and exposes underlying vulnerabilities. With macroeconomic signals mixed and geopolitical risks lingering, the balance of risks appears to be shifting.