J.P. Morgan 54th Annual Global Technology, Media and Communications Conference
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monday.com (MNDY) J.P. Morgan 54th Annual Global Technology, Media and Communications Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for monday.com Ltd

J.P. Morgan 54th Annual Global Technology, Media and Communications Conference summary

22 May, 2026

Company overview and platform evolution

  • Serves 250,000 paying customers across 200+ industries, supporting operations from manufacturing to clinical trials.

  • Platform is highly scalable and simple, enabling both small teams and large enterprises to orchestrate complex workflows.

  • Recently shifted vision from work management to enabling work execution through AI, launching an agent platform and updating pricing models.

  • New pricing combines seat-based and consumption-based models, requiring AI integration for new customers.

  • Focus is on building infrastructure for seamless collaboration between people and AI agents in large organizations.

AI strategy and product innovation

  • AI is seen as a much larger market opportunity than traditional software, prompting a full strategic pivot.

  • Monday Agent Labs was established to experiment with advanced agent capabilities, including self-improving and self-reflective agents.

  • Agents can autonomously collaborate, develop APIs, and solve problems, with real-world examples of agents working together.

  • Platform enables easy agent creation and integration with existing business systems, making automation accessible to all users.

  • Agentalent.ai marketplace allows enterprises to hire AI agents for specific tasks, bridging the gap for companies less familiar with AI.

Financial outlook and business model

  • Q2 revenue guidance reflects a 1% sequential growth due to lapping prior pricing adjustments and SMB softness, offset by enterprise momentum.

  • AI contributed 10% of net new ARR in Q1, mainly from products like Vibe, AI blocks, and Sidekick.

  • New hybrid pricing model (seats plus credits) aims to provide budget predictability and flexibility for customers.

  • Over time, revenue mix may shift more toward AI consumption as agent adoption increases.

  • Early feedback shows long-term customers adopting agents and digitizing operations, with strong interest in AI sidekick capabilities.

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