AI Agents could turn ServiceNow and Palantir into the next trillion-dollar platforms
AI Agents are at the center of one of the hottest debates in the tech market right now. And for good reason: the idea that artificial intelligence agents could make the SaaS model obsolete is already causing real damage on Wall Street. Companies that were once considered untouchable have started feeling the weight of this narrative.
ServiceNow saw its stock plummet 33% this year, while Palantir Technologies dropped 23% over the same period. But is the AI Agent really the villain of this story? Or could it actually be the very thing that catapults these two giants to an even higher level?
The answer is not as simple as the market is signaling, and understanding the difference could completely change how you see the future of automation and software platforms. Let’s break it down. 🚀
What are AI Agents and why do they spook the market?
Before diving into the impact all of this has on ServiceNow and Palantir, it’s worth recapping what AI Agents actually are. In plain terms, they are artificial intelligence systems designed to perceive their environment, make decisions, and take autonomous actions to achieve a specific goal. Unlike a simple chatbot that just answers questions based on a script or language model, an AI agent can navigate systems, trigger APIs, fill out forms, process data, and even coordinate other agents to complete complex tasks.
This capability raises a very legitimate question: if an agent can do all of this autonomously, why would a company still need to pay for dozens of separate SaaS tools, each solving a small piece of the puzzle? That exact line of thinking is what’s fueling investor panic and putting pressure on stock prices across the sector.
What do AI Agents have to do with the SaaS downturn?
To understand the market panic, it’s important to first understand what’s driving this shift. The SaaS model, or Software as a Service, was built on a very simple premise: you pay a monthly or annual subscription to use a platform that solves a specific problem within your company. It works well, scales well, and for many years was considered the perfect model for tech companies to grow in a predictable and sustainable way.
Big names like Salesforce, with its marketing and CRM software, Figma, in the graphic design space, and even Microsoft, with tools like Word and the Office suite, built empires on top of this model. Recurring revenue from monthly subscriptions became the gold standard for software companies.
The problem is that this logic starts to get questioned when technologies emerge that can execute tasks autonomously, without depending on a fixed interface or a closed product to function. If an AI Agent can, for example, add data to a database, analyze that data, and create marketing campaigns based on it — all without human intervention — what’s the point of maintaining a SaaS subscription that requires a person to do each of those steps manually?
This narrative gained traction quickly and spooked investors. The reasoning is straightforward: if AI Agents can replace entire workflows that currently depend on multiple platforms, the volume of SaaS subscriptions could drop dramatically. And companies like ServiceNow, which build their entire value proposition around platform-managed workflows, would be directly affected.
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But this reading ignores some very important details about how these companies actually operate and how they’re positioning themselves in the face of this shift.
Which SaaS companies are actually at risk?
Not every SaaS company is in the same boat. The ones most vulnerable to the AI Agent threat are the so-called legacy companies — those that have been operating for years on older technologies and whose competitive advantage is based on features that artificial intelligence can already replicate or even surpass. Even when these companies try to incorporate AI into their products, they end up facing a paradox: the more efficient their models become with AI, the fewer subscriptions or licenses their customers need. In other words, they need fewer paid seats to get the same amount of work done.
ServiceNow and Palantir, on the other hand, were born with artificial intelligence and advanced data analytics in their DNA. Their businesses already handle much of the work an AI agent would do, which completely changes the threat dynamic. Instead of being replaced, these companies are positioning themselves as the infrastructure where AI agents will operate.
ServiceNow: platform or infrastructure for agents?
ServiceNow is much more than an IT ticketing management tool. Over the years, the company has built a robust platform that connects business processes across different departments, from HR and finance to operations and customer service. What few people realize is that this infrastructure of organized data, integrations, and well-established workflows is exactly the kind of environment where AI Agents can operate most efficiently.
Without organized data, well-defined processes, and reliable integrations, an AI agent has nowhere to do its job properly. And that’s precisely what ServiceNow delivers.
The company had already made concrete moves in this direction well before the market started panicking. Control Tower, launched before the wave of concern around agentic AI even hit, works as a centralized command center for managing a company’s entire AI program. The idea is simple and powerful: even if AI Agents handle various software applications, they still need to be unified to generate real efficiency and value. And that orchestration role is exactly what ServiceNow plays.
On top of that, the Now Assist platform, which embeds generative AI capabilities directly into existing workflows, is another clear step toward turning ServiceNow into an AI Agent orchestration layer. Instead of being replaced by external agents, the company is positioning itself as the place where those agents live, operate, and connect with enterprise systems.
This completely changes the conversation: ServiceNow is not competing with AI Agents. It’s becoming their home inside the enterprise.
The stock drop reflects market fear more than the company’s operational reality. Revenue growth metrics and the expansion of ServiceNow’s enterprise customer base remain solid. The company has thousands of clients with long-term relationships, giving it a privileged position to deepen those organizations’ reliance on its platform even further. The 33% stock decline is far more tied to a broader reassessment of the SaaS sector amid uncertainty about the future than to any real problem with the company’s strategy.
Anyone who looks at the fundamentals and understands the role the platform can play in the automation ecosystem with AI sees a very different story from the one the market is telling right now.
Palantir Technologies: data as a real competitive advantage
Palantir Technologies has always been a company that’s hard to fit into traditional categories. It’s not exactly a SaaS in the classic sense, but it’s not a consultancy either. What it does is build extremely complex data analytics platforms for governments and large corporations, helping these organizations make data-driven decisions in environments where data is chaotic, fragmented, and hard to process.
This specialty puts Palantir in a particularly interesting position in the AI Agents debate, because intelligent agents need quality data to function well. Without clean, organized, and contextualized data, no AI agent delivers reliable results. And that’s exactly what the company knows how to deliver like very few others in the world.
The AIP platform, launched by Palantir as an automation layer with artificial intelligence on top of its existing products, is a concrete example of how the company is embracing AI Agents rather than resisting them. AIP allows companies to create AI agents that operate directly on data already organized within the Palantir platform, without needing to build that infrastructure from scratch.
This is a massive differentiator, especially for sectors like defense, healthcare, and logistics, where data quality and reliability are critical and where mistakes have real and serious consequences. In those environments, having a smart agent isn’t enough — you need an agent that operates on a solid and auditable foundation of information. 📊
The 23% stock decline at Palantir follows the same pattern as ServiceNow: it’s far more of an emotional market reaction than a reflection of the business fundamentals. Palantir has long-term contracts with governments and large enterprises, an extremely loyal customer base, and technology that took years to develop and isn’t easy to replicate. Commercial revenue growth, especially in the United States, has been consistent and is accelerating as more companies discover the value of having well-organized data as a foundation for running AI Agents reliably and at scale.
Is the subscription model going to die?
This is a question a lot of people are asking, and the short answer is: no. At least not the way the market is pricing it in. What’s changing is the nature of what you pay for with a subscription. Instead of paying for access to a tool with fixed features, companies will pay for access to platforms that serve as the operating system for their AI agents.
Think of it this way: the SaaS model isn’t dying — it’s evolving. The companies that understand this and adapt in time will come out of this transition stronger than they went in. And both ServiceNow and Palantir are already doing exactly that, each in their own way.
ServiceNow is becoming the central orchestration hub for agents within large organizations. Palantir is becoming the reliable data layer where agents make decisions in highly complex environments. In both cases, the presence of AI Agents doesn’t diminish the value of these platforms — it amplifies it.
Intelligent automation: the next chapter
What’s happening with ServiceNow and Palantir is actually a clear sign that the market is still learning to tell apart companies that will be replaced by AI Agents from companies that will be supercharged by them. There’s a huge difference between a SaaS platform that sells isolated features with little data integration or technical depth and a platform that serves as critical infrastructure for complex enterprise processes. The former, yes, have a lot to worry about. The latter are being unfairly punished by an oversimplified narrative.
Automation driven by AI Agents won’t replace platforms that have rich data, deep integrations, and well-defined processes. It will depend on them. An AI agent that needs to solve an IT problem inside a large enterprise needs access to ticketing systems, incident history, security policies, and user data. All of that already lives inside platforms like ServiceNow. An agent that needs to support military or logistics decisions needs reliable, processed, and auditable data. All of that is what Palantir has been delivering for years.
The future of automation with artificial intelligence is not a world without SaaS. It’s a world where the best SaaS platforms transform into operating systems for AI agents. The companies that have already built this data and integration infrastructure over the years are, in reality, far ahead in this race.
What does this mean for the tech landscape?
The debate over AI Agents versus SaaS is, at its core, a discussion about who controls the infrastructure layer of the corporate future. The companies that manage to position themselves as the foundation where AI agents operate — rather than the tools those agents replace — have real potential to become trillion-dollar platforms.
ServiceNow, with its workflow and orchestration ecosystem, and Palantir, with its unmatched expertise in complex data, are among the best positioned for that leap. The stock correction may be temporary, a reflection of a market still digesting the speed of transformation. But the fundamentals point in a clear direction: these are not companies threatened by agentic AI. They are companies that could become indispensable because of it.
Understanding this is what separates a surface-level market read from a truly strategic view of where the tech sector is headed. 💡
