Using Zacks Thematic Screens to Navigate the AI Infrastructure S-Curve

The most compelling bets in the AI revolution aren't in the apps that run on it. They're in the foundational layers that make it possible. This is the infrastructure layer-the essential 'rails' for the next paradigm. It's where exponential adoption begins, built on compute power and data. Companies dominating this layer aren't just participating in the AI frenzy; they are the fundamental enablers.

At the core of this compute layer stands NVIDIA. Its record $68.1 billion in quarterly sales is a staggering validation of its dominance. That figure, growing 73% year-over-year, is driven almost entirely by the insatiable demand for its GPUs in data centers. The company's Data Center segment alone hit $62.3 billion, a 75% surge. This isn't just strong revenue; it's the financial signature of a company that has become the indispensable engine for AI training and inference. Its growth trajectory is a textbook example of an exponential curve hitting a new inflection point.

On the other side of the infrastructure stack is the data and software layer. Here, Palantir emerges as a key player, applying its platform to automate complex cognitive tasks. The company's growth remains robust, with overall sales of $1.4 billion flying 70% year-over-year. Its U.S. business, a critical market, grew an even more impressive 93% year-over-year. Palantir is building the software infrastructure that transforms raw data into actionable intelligence, a necessary layer for any AI system to scale.

Together, these companies illustrate the investment thesis. The exponential growth of AI is not a single event but a multi-layered adoption curve. NVIDIA provides the raw compute fuel, while Palantir offers the sophisticated software to harness it. Investing in these foundational rails means betting on the infrastructure that will support the entire next technological paradigm.

The Zacks Thematic Screen: A Tool for S-Curve Navigation

For investors aiming to ride the AI infrastructure wave, the Zacks Thematic Screen offers a practical map. It's designed to cut through the noise of the "AI frenzy" and identify companies positioned at the core of the adoption S-curve. The screen doesn't just highlight flashy applications; it filters for the builders of the fundamental layers.

The key insight from the AI thematic screen is its breadth. It returns a diverse set of companies involved in the AI frenzy, spanning from creators of the underlying software and hardware to those applying the technology. This diversity itself signals the scale of the paradigm shift. It's not a narrow bet on one type of company. Instead, it reflects a multi-layered infrastructure build-out, where both the compute engines and the cognitive software platforms are essential rails.

The screen's utility lies in its focus. It explicitly identifies firms creating the tools that power AI, not merely those using it. This aligns perfectly with the deep tech strategy of investing in foundational infrastructure. When you run the screen, it surfaces the companies that are directly fueling the exponential growth curve-like NVIDIA and Palantir, whose robust results were highlighted in the analysis. It helps investors separate the signal from the hype by targeting the enablers.

Accessing this tool requires visiting the Zacks Investment Research website and selecting the Artificial Intelligence theme. For those navigating the complex landscape of thematic investing, it provides a structured starting point to explore the dynamic companies shaping the future.

Adoption Metrics and Financial Impact: Reading the S-Curve

The financial results from companies like NVIDIA and Palantir are more than just numbers; they are a direct readout of their position on the AI adoption S-curve. For a company in the steep, early-mid phase of exponential growth, the metrics tell a clear story of accelerating demand and market capture.

NVIDIA's latest report is a textbook case. Its record $68.1 billion in quarterly sales grew by a staggering 73% year-over-year. More telling is the 82% surge in adjusted earnings per share. This isn't just top-line expansion; it's the financial signature of a company whose product is the essential, non-negotiable fuel for the entire AI build-out. The Data Center segment, which alone hit $62.3 billion, shows the same explosive trajectory. These figures confirm NVIDIA is not just riding the wave but is the wave itself, with its growth rate firmly on the steep part of the S-curve.

For infrastructure builders, however, the financial metrics that matter most are different from those of a pure-play hardware vendor. The focus shifts from headline sales growth to the underlying health and velocity of adoption. Key indicators include utilization rates-how intensively customers are using the platform-and the speed at which new customers or new features are being adopted. For a software platform like Palantir, the critical metric is recurring revenue from its installed base, which signals sticky, long-term value. The company's overall sales of $1.4 billion flying 70% year-over-year is impressive, but the even more striking 93% year-over-year growth in its U.S. business highlights the rapid velocity of platform adoption in a core market.

The bottom line is that financial performance in the infrastructure layer is a lagging indicator of adoption. The real signal is in the growth rates themselves. When a company reports sales and earnings expanding at 70% or 80% year-over-year, it's a clear signal that it has moved beyond the early, uncertain phase of the S-curve. It has achieved product-market fit at scale, and its financials are now reflecting the exponential adoption that was the initial thesis. For investors, these metrics are the confirmation that the foundational rails are being built-and paid for-at an accelerating pace.

Valuation and Scenario Analysis: Beyond the Headline

Traditional valuation metrics like the price-to-earnings ratio become almost meaningless when applied to a company on the steep part of an exponential adoption S-curve. For investors, the focus must shift from today's earnings to the trajectory of market share capture and the strength of network effects. A company like NVIDIA, with its 73% year-over-year sales growth, is not being valued for its current profit margin but for its dominant position in the fundamental compute layer of a paradigm shift. The game is about securing the infrastructure rails for the next decade, not optimizing for quarterly earnings per share.

Let's define a clear scenario for NVIDIA. The bullish case is straightforward: the expansion of AI training and inference workloads continues unabated. This drives sustained, high-margin demand for its compute platforms. The company's record $68.1 billion in quarterly sales and its Data Center segment growing 75% year-over-year are the financial proof points. In this scenario, NVIDIA's growth rate remains in the high double digits, its market share in AI chips consolidates, and its platform becomes the de facto standard. The valuation premium reflects the long-term cash flows locked in by this entrenched position.

The primary risk, however, is a fundamental shift in the adoption curve. This could come from two directions. First, there is the threat of commoditization. If alternative architectures or more efficient chips gain significant traction, the pricing power and margins that fuel NVIDIA's growth could erode. Second, a slowdown in AI adoption due to economic headwinds or regulatory friction would directly pressure the demand for its core hardware. While the current trajectory shows no signs of this, the exponential growth model is inherently sensitive to changes in the adoption rate.

For infrastructure builders, the key is to assess which companies are best positioned to navigate these scenarios. The analysis shows that NVIDIA's current dominance is built on capturing the early, high-growth phase of the S-curve. Its financials confirm it is the indispensable engine. The risk is not that demand will vanish, but that the competitive landscape for the compute layer could become more crowded, testing its ability to maintain its premium. The investment thesis hinges on believing that NVIDIA will not just ride the wave but will continue to define its shape.

Catalysts and What to Watch: The Next Inflection Points

The thesis for exponential infrastructure growth is now being validated by financial results. The next phase is about confirming the sustainability of that growth and spotting the next inflection points. Investors should watch for announcements that extend the capabilities of the compute stack, as well as the quarterly metrics that signal whether adoption is accelerating or beginning to plateau.

The most direct catalysts will be product launches. For NVIDIA, the next major inflection point is the rollout of its next-generation AI chip architectures. Any announcement that demonstrates a significant leap in performance per watt or a new software platform that unlocks novel AI workloads would reinforce its position at the apex of the S-curve. Similarly, for Palantir, the launch of new software modules or platform integrations that dramatically increase the value of its installed base would be a key signal of continued expansion.

On the financial side, the metrics to watch are the growth rates themselves. For NVIDIA, the focus should be on the sequential growth of its Data Center segment, which already showed a 22% jump last quarter. A continued acceleration here would confirm the demand is not just strong but intensifying. For Palantir, the 28% sequential growth in U.S. sales is a critical near-term metric. Sustaining or exceeding that pace would show the platform adoption curve is steepening, while a deceleration could signal early saturation in a key market.

The institutional recognition of this theme is also a subtle but important catalyst. The launch of new thematic screens by firms like Zacks signals a growing framework for identifying these foundational builders. It moves the conversation from speculative hype to a structured investment approach. This kind of recognition can attract more capital into the infrastructure layer, potentially accelerating the build-out of the rails themselves.

The bottom line is that the exponential growth story is now in the financials. The next inflection points will be defined by product innovation that extends the stack and by the quarterly guidance that confirms the adoption rate remains on an upward trajectory. Watch for those signals to see if the infrastructure layer is being built at the pace required for the next technological paradigm.