Why Are Software, SaaS Stocks Rising? The AI Moat Behind Oracle, ServiceNow and Snowflake

Software stocks were supposed to be the first big victims of AI. Instead, several of them are now staging a sharp comeback. Oracle, ServiceNow, Snowflake, Salesforce and Adobe were all punished earlier as investors feared that AI agents would replace traditional software tools. 

At their 2026 lows, some of these stocks had fallen up to 60% from their 52-week highs. Now, they are staging a comeback that has Wall Street buzzing. INDmoney data shows that some of these stocks saw Indian Investors’ interest in them rising 400% in the last month.

Let’s break down why the “AI will kill SaaS” thesis looked so convincing, why the market is now rethinking it, and which software companies may actually become more valuable in the AI era.

How Much Did Software, SaaS Stocks Fall?

The correction was not a small valuation reset. It was a full sentiment collapse.

Source: Google Finance, INDmoney

The fear was simple: if AI can write code, answer customer queries, build dashboards and automate office work, why should companies keep paying for expensive SaaS seats? But that argument missed one important point. AI can perform a task. Enterprise software controls the system in which that task happens.

Why AI May Strengthen SaaS Companies Instead of Replacing Them

This is the central idea investors should understand. AI agents do not operate in the air. They need access to customer records, finance systems, HR workflows, compliance logs, permissions, contracts and clean data. That is exactly where enterprise software companies sit.

About 85% of the Fortune 500 use ServiceNow’s platform, with customers including Coca-Cola, and BT Group. Snowflake has 751 Forbes Global 2000 customers, including names such as AT&T, Capital One and Adobe. Salesforce remains deeply embedded in global CRM workflows, serving large enterprises such as Amazon Web Services, Toyota and Spotify.

In other words, these companies are already sitting inside the systems where enterprise work happens. That is why the strongest SaaS players are not just adding AI features on top of their products. They are positioning themselves as the control layer through which companies can safely deploy AI across data, workflows and customer operations.

How Oracle Cloud Became A Major Growth Driver

Oracle is the most interesting case because the market no longer sees it only as an old database company. Its Oracle Cloud Infrastructure (OCI), has become a serious AI infrastructure platform.

Source: Oracle Earnings Report

That backlog is the real story. Oracle has locked in massive future demand, largely tied to cloud and AI infrastructure. It has also benefited from large AI compute demand, including reported OpenAI-related cloud commitments.

Oracle’s moat is threefold: 

• Enterprise databases
• Cloud infrastructure capacity
• Deep enterprise relationships with major customers and partners such as OpenAI, Microsoft, Nvidia, AMD and Meta

For AI workloads, this is powerful. AI models need compute. Enterprises need secure databases. Oracle is trying to sell both together.

Now Stock: Why Workflow Automation Is Its AI Moat

ServiceNow is more than just a ticketing software company anymore. It sits inside IT, HR, customer service and enterprise workflow automation. That makes it valuable in the AI era because AI agents need orchestration.

Source: ServiceNow Earnings Report

Its AI story is less about “chatbots” and more about controlling how AI agents work across departments. This is a crucial distinction. If every company has multiple AI agents, someone has to manage approvals, audit trails, exceptions and escalations. ServiceNow wants to become that layer.

Snowflake Stock: Why Enterprise Data Is Critical For AI

Snowflake’s rebound was the clearest evidence that AI can increase demand for software. Its strength is that AI needs clean, governed, accessible enterprise data. Most companies do not have that. Snowflake helps them build it.

Think of AI as a student answering an exam. Snowflake is the well-organised notebook it studies from. If the notes are messy, the answer will be weak. If the data is clean and organised, AI can give better answers. That is Snowflake’s role.

Source: Snowflake Earnings Report

Salesforce Stock: Can Agentforce Protect Its CRM Advantage

Salesforce is trying to defend its CRM empire with Agentforce. But Salesforce still faces a real question: can AI reduce the need for traditional CRM seats?

Source: Salesforce Earnings Report

Valuations Check: Which Software Stocks Still Look Expensive?

The software revival is not a blanket buy signal. Some stocks are recovering because earnings improved. Others are recovering because expectations were too low.

Sources: GuruFocus, Company investor relations, Reuters, WSJ

Key Risks That Could Threaten The SaaS Stock Revival

The massive scale of companies like Oracle and ServiceNow gives them distribution power, but it does not eliminate the risks. The SaaS revival is not a one-way trade and here are some risks that can threaten this revival.

• AI replaces full workflows: If AI agents become capable of handling entire business processes, not just small tasks, demand for some SaaS platforms could weaken.
• Companies build software in-house: AI could make it easier for enterprises to create cheaper internal tools instead of renewing expensive SaaS contracts.
• Margins come under pressure: AI features require cloud compute, model inference, data processing and security costs. If companies cannot charge enough, profits may suffer.
• Seat-based pricing gets disrupted: If AI reduces the number of employees needed for certain tasks, companies may buy fewer software seats.
• Valuations become stretched again: Any slowdown in AI revenue, cloud growth or enterprise spending could trigger another correction.
• AI monetisation disappoints: Adding AI features is not enough. Investors will need proof that these tools can generate real revenue, not just product buzz.

What Should Investors Watch In Software and SaaS Stocks Now?

For investors, the SaaS revival should not be seen as a blanket buy signal. The smarter approach is to separate companies that are genuinely becoming AI infrastructure or workflow platforms from those simply adding AI features to defend their old business model.

Investors should watch these five things closely:

• Real AI revenue: Look for ARR, bookings or usage revenue from AI products, not just AI announcements.
• Future revenue visibility: Track RPO and cRPO. Oracle, ServiceNow and Snowflake’s RPO show how much future demand is already contracted.
• AI impact on margins: AI is costly to run. Check whether it is improving profits or increasing cloud and inference costs.
• Customer expansion: Watch net retention, $1 million-plus customers and Fortune 500/Global 2000 penetration. These show whether enterprises are spending more.
• Valuation discipline: A premium valuation is justified only when growth, margins and AI monetisation are improving together.

Do not chase every software stock that rallies on AI optimism because some of these counters are already sitting at a 150x forward P/E. The companies worth watching are the ones that own mission-critical data, workflows, customer relationships or cloud infrastructure, because those are the layers AI needs to become useful inside large enterprises.