The analyst community is paying close attention to a battle that CRM and RevOps professionals should be watching just as closely. TD Cowen has reaffirmed its Buy rating on Salesforce, pointing to AI momentum and Agentforce adoption as the primary growth drivers heading into the second half of 2026. At the same time, ServiceNow is pushing hard into adjacent CRM and workflow territory. For sales and GTM teams, the competition between these two platforms is starting to shape real decisions about where to invest, what to automate, and which AI tools will actually move the revenue needle.
Why Agentforce Is Changing the Sales Automation Conversation
Salesforce’s Agentforce platform represents a meaningful shift from traditional CRM automation. Rather than rule-based workflows that require constant maintenance, Agentforce deploys autonomous AI agents that can handle tasks across the sales cycle – qualifying inbound leads, drafting follow-up sequences, updating opportunity records, and surfacing next-best actions without waiting for a rep to prompt them.
The practical implication for sales teams is significant. A well-configured Agentforce setup can reduce the administrative burden on reps by handling the kind of low-complexity, high-frequency tasks that typically consume 30 to 40 percent of a seller’s day. That frees up time for higher-value activities like executive conversations, deal strategy, and relationship building – the work that AI still cannot replicate.
TD Cowen’s bullish stance reflects growing enterprise adoption of these capabilities, and the revenue trends appear to support that view. Salesforce has consistently cited Agentforce as a key driver of new logo growth and expansion within existing accounts during recent earnings cycles.
ServiceNow’s CRM Push – A Genuine Threat or Noise?
ServiceNow is not standing still. The platform has been expanding beyond its IT service management roots into sales workflows, customer operations, and account management – areas that overlap directly with Salesforce’s core territory. Revenue trend comparisons between the two companies show ServiceNow growing at a competitive clip, and its Now Assist AI capabilities are being positioned as an enterprise-grade alternative for organisations already embedded in the ServiceNow ecosystem.
For GTM leaders, this creates a genuine evaluation question. If your organisation already runs ServiceNow for IT or HR workflows, extending it into sales operations might seem like a lower-friction path than standardising on Salesforce. But the depth of CRM-specific functionality – pipeline management, forecasting, territory planning, CPQ integration – still favours Salesforce for most sales-led organisations.
The more interesting scenario is hybrid adoption, where enterprises use ServiceNow for internal process automation and Salesforce for customer-facing sales execution. AI agents in both platforms will need to communicate cleanly across that boundary, and integration quality will become a competitive differentiator in its own right.
What This Means for CRM and RevOps Teams Right Now
The analyst attention on Salesforce and ServiceNow is useful context, but the more pressing question for practitioners is how to extract value from AI-powered CRM today, regardless of which platform they are on. A few practical considerations worth acting on:
- Audit your data quality first. AI agents are only as good as the data they work with. Pipeline records with missing fields, duplicate accounts, and inconsistent stage definitions will undermine AI-driven recommendations before they start.
- Start with high-volume, low-complexity tasks. Lead routing, meeting scheduling, follow-up reminders, and CRM record updates are the right first targets for AI automation. These tasks have clear success criteria and low risk if the agent makes a mistake.
- Define what “good” looks like before you deploy. AI agents need outcome definitions. If you cannot articulate what a successful lead qualification looks like in structured terms, the agent cannot replicate it at scale.
- Monitor adoption, not just activation. Many AI features are turned on and never used. Build feedback loops that tell you whether reps are accepting or ignoring AI recommendations, and use that signal to refine the configuration.
If you are evaluating which AI-powered CRM tools are worth piloting, the CRM Tools Directory is a good starting point for comparing capabilities across vendors, including Salesforce, ServiceNow, HubSpot, and others.
The Road Ahead for AI-Driven GTM
The TD Cowen reaffirmation is one data point, but the broader trend it reflects is durable. Enterprise buyers are moving past the evaluation stage and into deployment. The question is no longer whether AI belongs in the sales stack – it is which AI capabilities deliver measurable pipeline impact and at what cost.
Salesforce has a structural advantage here because of the breadth of customer data it sits on top of. More data means better model inputs, which means more accurate agent behaviour over time. ServiceNow has an advantage in process orchestration across the enterprise. Both advantages are real, and the market is large enough that both companies can win.
For CRM and RevOps professionals, the most important move right now is not picking a side – it is building the internal capability to evaluate, deploy, and iterate on AI tools quickly. The teams that develop that muscle in 2026 will have a compounding advantage over those that wait. For guidance on building that capability, explore our CRM Guides covering AI adoption, workflow automation, and sales operations best practices.
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