Wall Street Prioritizes AI Infrastructure

As AI investment surges, Wall Street is increasingly prioritizing companies building the core infrastructure and data platforms needed for AI to function. Firms providing the “plumbing” for AI are soaring, while those simply adding AI features to existing products see their stocks tumble.

The artificial intelligence revolution, a force reshaping industries and igniting imaginations, has unleashed a torrent of investment.

Yet, beneath the surface of this technological tidal wave, a fascinating and often brutal re-evaluation is unfolding on Wall Street.

While the promise of AI seems boundless, investors are proving discerning, separating the foundational architects of this new age from those simply adorning existing structures with AI’s shimmering veneer.

The result is a striking divergence in fortunes, a clear delineation between the companies truly powering AI’s ascent and those merely hoping to ride its coattails.

Consider the stark numbers: Cloud giants like Salesforce and Adobe, quick to integrate AI into their extensive product suites, have watched their stock prices tumble.

Salesforce is down a significant 28% year-to-date, closing recently at $240.36.

Adobe has shed 21% of its value, ending at $346.74.

A broader basket of Software-as-a-Service (SaaS) companies tracked by Morgan Stanley has collectively fallen more than 6% this year.

These are not companies ignoring AI; Salesforce boasts its Einstein Copilot, a conversational AI assistant layered across customer data. Learn more about the importance of AI infrastructure for businesses.

Adobe has unveiled its generative AI Firefly suite, integrated into Photoshop, Premiere, and enterprise solutions.

Their efforts are earnest, their technology impressive, but the market remains unimpressed.

In stark contrast, a select few are experiencing stratospheric growth, capturing investor attention and capital.

Snowflake, a cloud-native data warehouse, has surged an astounding 43% year-to-date and nearly 96% over the past 12 months.

Its market capitalization has more than doubled in the same period, cementing its status as an AI-era darling.

And then there’s Oracle, a venerable tech stalwart, which recently saw its stock jump after reporting robust growth in its remaining performance obligation—future revenue from existing contracts.

The Wall Street Journal later revealed the catalyst: a multiyear deal with OpenAI, the creator of ChatGPT, for computing power. Explore the role and benefits of AI in cloud computing.

This isn’t just a bump; it’s a testament to the insatiable demand for foundational cloud infrastructure.

The reason for this dichotomy, experts contend, is simple yet profound: AI, at its core, is a data-hungry beast.

“Infrastructure AI firms as well as AI PaaS (Platform-as-a-service) providers have benefited more directly from AI because AI adoption starts with data and compute: enterprises need scalable platforms to store, process, and feed data into AI models and applications,” explains Arun Chandrasekaran, distinguished vice president analyst at Gartner. Check out how AI is revolutionizing various sectors.

This isn’t about the flashy front-end applications; it’s about the plumbing, the vast digital reservoirs, and the intricate networks that store, organize, and deliver the massive volumes of data essential for AI models to learn and perform.

Omer Minkara, vice president and principal analyst at Aberdeen Strategy and Research, offers a compelling analogy:

“The algorithms may be great, but if your data is garbage, in reference to the garbage in, garbage out analogy, then you may have garbage outcomes.

So you may have a Ferrari, but if you’re putting bad oil or bad fuel into it, you’re not going to get far.” Read more about the impact of AI on software companies.

This underscores the critical role of companies like Snowflake, which provides the high-octane fuel and efficient delivery system for AI’s Ferraris.

Their ability to manage and process structured and semi-structured data at scale makes them indispensable for any enterprise serious about leveraging AI effectively.

For investors, the signal is becoming undeniably clear.

Nathan Punwani, an Arizona-based doctor who invested in Oracle early this year, saw his position climb 40% by September.

“FAANNG, Microsoft was getting all the attention, and I figured at some point a rotation would happen to help Oracle,” he noted, adding, “I always thought there was room for a fourth cloud operator.” This aligns with current AI investment trends in 2023.

He intuitively grasped the underlying demand for robust cloud infrastructure, a demand now amplified by AI’s voracious appetite for compute and storage.

Just as Nvidia has become the indispensable supplier of AI hardware, infrastructure-adjacent SaaS and cloud providers are proving equally critical to the burgeoning AI ecosystem.

Of course, the narrative isn’t entirely one-sided.

Established giants like Salesforce ($233 billion market cap) and ServiceNow ($194 billion) face challenges beyond just AI perception.

Their sheer size makes it harder to deliver the kind of explosive stock moves seen in smaller, more focused infrastructure plays without truly massive catalysts.

R ‘Ray’ Wang, principal analyst and founder of Constellation Research, suggests it might be premature to write them off entirely.

“They [Salesforce] are leading the conversation on Agentic AI,” he observes, hinting at potential future breakthroughs.

“If you buy the dip, this could be the beginning of a new cycle.” Moreover, companies like Salesforce contend with a myriad of other factors, including a challenging year marked by notable cybersecurity attacks targeting sensitive customer data, adding layers of complexity to their market performance.

Ultimately, the current market dynamic serves as a potent reminder that innovation isn’t just about the visible, user-facing applications.

The true bedrock of the AI revolution lies in the unseen infrastructure, the data pipelines, and the scalable computing power that make intelligent systems possible.

Investors are not merely chasing the next big AI feature; they are seeking out the essential plumbing that will enable the entire ecosystem to thrive.

For now, the spoils of the AI gold rush are flowing disproportionately to those who provide the picks, shovels, and robust foundations, leaving others to wonder if their beautifully crafted AI applications are simply built on shifting sands.