RingCentral meets Q1 revenue estimates as AI product adoption doubles year on year

RingCentral posted Q1 revenue of $644.2 million, up 5.3% year-over-year, with earnings beating estimates. Revenue from customers using its AI products more than doubled annually.

Categorized in: AI News Management
Published on: May 10, 2026
RingCentral meets Q1 revenue estimates as AI product adoption doubles year on year

RingCentral Posts Steady Quarter as AI Products Drive Customer Spending

RingCentral reported Q1 revenue of $644.2 million, matching Wall Street expectations and growing 5.3% year-over-year. The company's non-GAAP earnings per share of $1.20 beat analyst estimates by 2.7%, while full-year guidance came in line with consensus at $2.63 billion in revenue.

The financial performance masks a shift in how the company makes money. Customers using RingCentral's AI products-including its AI Receptionist (AIR), AI Virtual Assistant (AVA), and AI Conversation Experts (ACE)-are spending more and staying longer. The annual recurring revenue from customers using at least one AI product more than doubled year-over-year.

That momentum came despite pricing pressure on legacy contracts. Management acknowledged that repricing older agreements continues to weigh on overall growth rates, a headwind the company expects to persist.

Where Margins Expanded

Operating margin jumped to 7.8% from 1.7% in the same quarter last year. Management attributed the improvement to disciplined hiring, vendor consolidation, expanded offshoring, and internal use of AI to streamline operations.

CFO Vaibhav Agarwal said these gains are structural, not temporary cost cuts. The company views operational leverage as durable enough to support both growth investments and margin expansion simultaneously.

The Hybrid AI-Human Model

CEO Vlad Shmunis emphasized that RingCentral's competitive advantage rests on orchestrating interactions between AI agents and human agents across voice, messaging, and video on a single platform. Unlike some AI vendors, the company sees its role as connecting customers to humans when needed, not replacing them entirely.

"For the foreseeable future, we don't see AI being licensed as a practicing physician," Shmunis said. "AI has to connect you to an actual human being."

This hybrid approach addresses a practical reality: routine inquiries can be handled by AI, but complex cases require human judgment. Management believes this model increases customer stickiness and reduces churn.

Channel Partners Beginning to Adopt

RingCentral's AI products are beginning to reach customers through channel partners and global service providers. Recent wins with Cox Communications and new deployments with TELUS and Spectrum Business signal broader adoption potential beyond RingCentral's direct sales force.

The company also launched AIR Pro, which lets customers configure more complex, workflow-driven AI agents. Healthcare emerged as an early adopter due to integration needs, opening new use cases and monetization opportunities.

What to Watch

For management professionals evaluating RingCentral or similar vendors, three metrics matter most in upcoming quarters:

  • The pace of AI product adoption and upsell rates, particularly for AIR Pro and bundled offerings
  • Whether operational discipline continues to expand margins without sacrificing growth investments
  • How effectively channel strategies broaden the customer base beyond direct sales

The company invests over $250 million annually in research and development. Management expects these investments to maintain competitive advantage as customer engagement increasingly relies on AI.

For managers considering how to implement AI in customer-facing operations, understanding AI Agents & Automation is essential. RingCentral's model-combining AI efficiency with human expertise-reflects a practical approach many organizations will adopt. Managers responsible for digital transformation should also consider how AI for Management applies to strategic decisions around technology adoption and operational efficiency.


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