It was the moment during the Salesforce earnings call on Wednesday when the needle scratched across the record.
Amy Weaver, Salesforce president and CFO, was talking about Agentforce and said:
“We are incredibly excited about the customer momentum we are seeing. However, the adoption cycle is still early as we focus on deployment with our customers. As a result, we are assuming a modest contribution to revenue in fiscal ’26. We expect the momentum to build throughout the year, driving a more meaningful contribution in fiscal ’27.”
Overall, Salesforce earnings were a disappointment, as was the company’s guidance for the 2026 fiscal year. And the markets are responding as markets do to such news — unkindly.
However, the idea that Salesforce customers are uninterested in Agentforce doesn’t hold water, at least not yet. There’s a lot of work to do before businesses trust AI agents to talk to customers and supply employees with accurate information.
For Salesforce customers, that work is being done by Data Cloud.
The Salesforce earnings release did not show that its customers are shying away from Data Cloud or AI in general.
- Data Cloud and AI annual recurring revenue were up 120% year-over-year to $900 million.
- Nearly half of the Fortune 100 are both AI and Data Cloud customers.
- All of Salesforce’s top 10 wins in Q4 included Data and AI.
- 5,000 Agentforce deals closed since October, and 3,000 were paid.
It’s that last point that failed to live up to the hype.
Dig waaayy deeper: Ask our MarTechBot anything about Salesforce Agentforce
AI agents using bad data is a bad idea
As you likely know, there are more than 14,000 martech tools on the market. As anyone I’ve talked to in the last couple of months will tell you, the tools get a lot of attention, but I believe the data does all the work.
Without quality data, the tools just deliver junk. Feed them bad data, and they deliver more junk.
Now imagine AI agents with access to bad data and little human oversight. Does this sound fun? No, it does not.
Last week, I spoke to Gabrielle Tao, Salesforce’s senior vice president of product management. Tao has a long history in the CDP space and currently works on Data Cloud at Salesforce.
I asked how Salesforce customers and prospects are preparing their data for a world where AI agents can be trusted to do their thing.
Tao said many businesses she talks to have unified data. That’s a good start.
“The problem is actually their disconnect between their unified data and their front-end business user and applications,” Tao said. “A sales rep will never log into any back-end data warehouses where the unified data architecture is constructed. A marketing user creating a campaign will also never log into a data warehouse. So, how do you serve all of the greatness of the unified data to these business applications and users, and by extension, the agents? That unified meta-data-level connection is what Data Cloud provides.”
This is a process for many organizations. And Salesforce was one of them.
Salesforce’s app for its Dreamforce conference back in September was a special-purpose, quick-start AI agent use case. It could tell users about sessions or where to grab some food, but beyond that, it didn’t offer much. For example, you couldn’t pepper it with questions about Data Cloud after viewing a session description.
Moving beyond the quick-start use cases is a big step for many Salesforce customers.
“In that next step, they realize, beyond that quick-start use case, that’s when they need to bring their enterprise data to full bear, and that’s when we have that middle layer, unified metadata, mapping, governance, augmented AI and analytics discussion,” Tao said.
I’m not predicting Agentforce will be a goldmine for Salesforce or a bust, either. I’m saying it’s the early innings, and there’s a long way to go. But evidence that customers are investing in better data is a good start.
Dig deeper: What is Salesforce cooking up for marketers in its Spring 2025 release?
The post When will Agentforce make its mark on Salesforce earnings? Wait ‘til next year appeared first on MarTech.
# Agentforce’s Impact on Salesforce Earnings Expected Next Year
## Introduction
Salesforce, a global leader in customer relationship management (CRM) software, continues to evolve with new technologies that enhance its platform. One of the most anticipated developments is **Agentforce**, a cutting-edge AI-driven tool designed to optimize sales and customer service operations. As businesses increasingly integrate AI solutions, analysts predict that Agentforce could significantly impact Salesforce’s earnings in the coming year.
This article explores how Agentforce is expected to influence Salesforce’s financial performance, its potential benefits for users, and the broader implications for the CRM industry.
## What is Agentforce?
Agentforce is an AI-powered automation tool designed to enhance Salesforce’s existing capabilities. It leverages machine learning, natural language processing (NLP), and predictive analytics to improve sales forecasting, customer interactions, and workflow automation. By integrating seamlessly with Salesforce’s ecosystem, Agentforce aims to:
– **Enhance Sales Productivity** – Automating repetitive tasks allows sales teams to focus on high-value activities.
– **Improve Customer Engagement** – AI-driven insights help personalize customer interactions.
– **Optimize Workflow Efficiency** – Intelligent automation reduces manual workload and streamlines operations.
– **Boost Revenue Growth** – Predictive analytics enable businesses to identify and capitalize on new opportunities.
## Expected Financial Impact on Salesforce
### **1. Increased Adoption and Subscription Revenue**
Salesforce operates on a subscription-based model, and the introduction of Agentforce is expected to drive higher adoption rates among enterprises seeking AI-powered CRM solutions. As businesses recognize the efficiency gains, more companies may upgrade to premium Salesforce plans that include Agentforce, leading to an increase in **Annual Recurring Revenue (ARR)**.
### **2. Expansion of AI-Driven Offerings**
Agentforce is part of Salesforce’s broader AI strategy, which includes Einstein AI and other automation tools. The growing demand for AI-driven CRM solutions could position Salesforce as a market leader in intelligent automation, attracting new customers and increasing **customer lifetime value (CLV)**.
### **3. Cost Savings and Operational Efficiency**
By automating routine tasks, Agentforce reduces the need for manual intervention, leading to cost savings for both Salesforce and its customers. This efficiency could improve **Salesforce’s profit margins**, positively impacting its bottom line.
### **4. Competitive Advantage in the CRM Market**
With competitors like Microsoft Dynamics and HubSpot also investing in AI-driven CRM solutions, Agentforce gives Salesforce a competitive edge. If the tool delivers superior automation and predictive capabilities, it could help Salesforce **capture a larger market share**, further boosting revenue.
## Broader Implications for the CRM Industry
The introduction of Agentforce signals a shift toward AI-driven CRM solutions. As businesses increasingly rely on automation to enhance customer relationships, the demand for intelligent CRM tools is expected to grow. This trend could lead to:
– **Higher AI Adoption Rates** – More companies integrating AI into their sales and customer service processes.
– **Industry-Wide Innovation** – Competitors developing similar AI-powered tools to keep pace with Salesforce.
– **Job Role Evolution** – Sales and customer service professionals focusing more on strategic tasks as AI handles routine operations.
## Conclusion
Agentforce is poised to be a game-changer for Salesforce, with the potential to drive significant revenue growth, improve operational efficiency, and strengthen its position in the CRM market. As businesses continue to embrace AI-driven solutions, Salesforce’s investment in Agentforce could lead to **higher earnings and long-term financial success**.
With analysts closely watching its adoption and impact, the next year could mark a pivotal moment for Salesforce as it leverages AI to redefine the future of customer relationship management.
Recent Comments