Why Salesforce and ServiceNow Are the New AI Main Characters

The market's AI story is changing. The initial frenzy focused on the hardware that powers it, but the narrative is now shifting to the software that puts it to work. This pivot is the core reason behind the recent reshuffle in the IVES AI 30 list. The investment thesis is clear: as AI adoption accelerates from hype to practical deployment, the next wave of value is being captured by platforms that automate core business workflows.

This shift is reflected in the latest updates. Wedbush analyst Dan Ives noted that the recent software sell-off is overdone, signaling a tactical re-entry into AI beneficiaries with strong enterprise adoption. That's why the firm added Salesforce (CRM) and ServiceNow (NOW) back to its IVES AI 30 list after removing them in December. This move follows a broader trend where AI is moving from abstract promise to tangible impact in functions like sales and IT operations.

The evidence points to a real deployment cycle. A new survey of over 4,000 sales professionals shows AI is their top tactic for growth this year, with 94% of sales leaders saying AI agents are critical for meeting business demands. The goal is clear: to kill the busywork. By automating prospecting, forecasting, and outreach, AI agents are freeing sales teams to focus on building relationships. This isn't just about efficiency; it's about reshaping the entire sales engine for measurable productivity gains.

In other words, the market attention is moving downstream. While Nvidia and other compute providers remain the anchor for the AI infrastructure boom, the next beneficiaries are the software platforms that enable practical, high-ROI applications. Salesforce and ServiceNow are being added because they are the critical enablers in this new workflow automation phase. They are the main characters in the story of AI moving from data centers to desks.

Market Attention: Search Volume and Viral Sentiment

The narrative around AI agents is gaining viral momentum, and the market is starting to pay attention. Industry experts are framing 2026 as the pivotal year for this technology, with Salesforce predicting the full-scale adoption of agentic enterprises this year. This isn't just corporate optimism; it's a signal that the conversation is shifting from theoretical potential to imminent deployment. The "agent leap" from simple prompts to orchestrating complex workflows is seen as the defining opportunity of the year, a move that directly aligns with the core offerings of Salesforce and ServiceNow.

This setup is being validated by real-world data. A recent survey of over 4,000 sales professionals shows AI is their top tactic for growth this year. The numbers are striking: 94% of sales leaders with agents say they are critical for meeting business demands. This isn't a niche experiment; it's a validation of the core use case that drives productivity. The goal is clear-killing the busywork to free teams for relationship-building. For Salesforce, this means its AI agents are being deployed across the entire sales cycle, with high performers using them for prospecting at a rate 1.7 times higher than underperformers.

The bottom line is that the market attention is converging on a specific catalyst. The combination of expert predictions for 2026 adoption, coupled with survey data showing AI agents are already critical for hitting business targets, creates a powerful narrative. This isn't a slow build; it's a setup for a potential pop as the year unfolds and more companies move from pilot to production. The search volume and viral sentiment are building, and the main characters in this story are the platforms that enable the workflow automation.

The Platform Play: How CRM and ITSM Become AI Agents

The real catalyst for Salesforce and ServiceNow isn't just the AI hype-it's the specific, high-interest features they are rolling out to turn their platforms into autonomous agents. This is the "how" behind the narrative shift, moving from abstract promise to concrete tools that address core business bottlenecks.

For Salesforce, the push is toward Agentforce and Einstein AI acting as trusted, autonomous agents within sales and service workflows. The goal is to move beyond simple automation to true workflow orchestration. Imagine an AI agent that doesn't just suggest an email but crafts it with customer data, summarizes a sales call, and then automatically updates the CRM record and schedules the next follow-up-all without a human clicking through multiple screens. This directly targets the productivity bottlenecks that plague sales teams. The evidence shows this is already working: high-performing sales reps use AI agents for prospecting at a rate 1.7 times higher than underperformers. The platform is designed to be extensible and grounded in customer data, aiming to create a "copilot" that works for any workflow, user, or department.

ServiceNow is taking a parallel but distinct approach. Its strategy centers on the ServiceNow AI Platform and the MyNow feature, aiming to proactively manage high-impact work by uniting AI, data, and workflows on a single cloud platform. The focus here is on IT service management and broader enterprise operations, where the pain point is often reactive firefighting. The platform's AI agents are designed to be autonomous, taking action to resolve issues before they escalate. MyNow provides a personalized, AI-guided interface to quickly access to-do lists and recommended actions, bringing AI directly into the flow of work. The vision is to transform service management from a cost center into a proactive engine for productivity and ROI.

The bottom line is that both companies are building the infrastructure for the "agentic enterprise" that experts predict will take off this year. Salesforce is embedding AI agents deep within customer-facing workflows, while ServiceNow is creating a unified platform to automate and govern enterprise operations. These aren't incremental updates; they are the specific features that justify their inclusion in the AI narrative. They represent the tangible product catalysts that will drive adoption as companies move from pilot projects to full-scale deployment.

Stock Performance and Valuation: Is the Sell-Off Overdone?

The recent sell-off has left Salesforce's stock trading at a deep discount. As of February 6, 2026, the stock was down 27.77% year-to-date and was trading near its 52-week low of $187.12. The pullback is stark when compared to its recent peak; the stock's 52-week high of $331.75 represents a 73.4% premium to the current price. This isn't just a minor correction; it's a major reset that has brought the stock to levels not seen in over a year.

Yet, the valuation may not tell the whole story. At a P/E ratio of 26.61, Salesforce trades at a multiple that is reasonable, not cheap, given its projected AI-driven growth. This ratio is in line with peers like Microsoft and Oracle, suggesting the market is pricing in a solid future. The key question is whether the current price fully discounts the risk of a slowdown or, conversely, prices in the potential for a sharp rebound as AI agents gain traction.

The setup creates a classic investment tension. The stock's steep decline and proximity to its 52-week low signal significant downside pressure, likely driven by concerns over growth and competition. However, the valuation itself does not appear to be a screaming bargain. It reflects a company that is still expected to grow, but one that is facing a challenging period. For the stock to be a clear "buy," the market would need to be overly pessimistic about the near-term, while the long-term AI narrative remains intact. The recent addition to the IVES AI 30 list suggests analysts see value in that long-term bet, but the path back to $330 will require a convincing demonstration that the AI workflow automation story is accelerating.

Catalysts and Risks: The Headline-Driven Path Ahead

The path for Salesforce and ServiceNow is now set by a clear set of near-term events and potential pitfalls. The main catalyst is the upcoming 2026 earnings season, where investors will scrutinize the real-world adoption of AI agents and the revenue growth tied to these platforms. Analyst Dan Ives expects another year of robust gains for Big Tech, projecting major names could climb roughly 20% as AI expands into broader commercial uses. For these stocks, the earnings reports will be the definitive test of whether the workflow automation narrative is translating into financial results.

A key risk is "headline risk" from broader market volatility or a slowdown in enterprise software spending. The recent reshuffling of the IVES AI 30 list, where Ives removed and then re-added Salesforce and ServiceNow, reflects this shifting momentum. The market's attention is fickle, and any sign of a macroeconomic slowdown or a pause in IT budgets could easily overshadow the specific gains from AI agent deployments. The stocks' steep year-to-date declines highlight their vulnerability to this kind of broad-based selling.

The real driver of viral sentiment and search interest will be integration success stories and customer case studies demonstrating clear ROI. The survey data showing 94% of sales leaders with agents say they are critical for meeting business demands is powerful, but the market needs to see concrete proof points. Watch for announcements where Salesforce or ServiceNow showcase measurable time savings-like the 34% reduction in prospect research time-or revenue uplift from AI-driven sales cycles. These tangible results are what will turn survey data into a self-reinforcing cycle of positive search volume and investment interest.

The bottom line is that the setup is now headline-driven. The stocks are positioned to benefit from the AI workflow automation trend, but their performance will hinge on the next few earnings reports delivering the promised ROI. Any stumble in execution or a shift in market focus away from enterprise software could quickly reset the narrative. For now, the catalyst is clear, but the risk of being overshadowed by bigger market moves remains a constant.