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

8 Jul, 2026

Company overview and platform evolution

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

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

  • Recently shifted vision from managing work to enabling work 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 adoption

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

  • AI features, such as agents and Vibe, contributed 10% of net new ARR in Q1, with strong enterprise momentum.

  • Adoption is in early stages, with customers experimenting and building thousands of agents for diverse tasks.

  • Agents are designed to be self-improving and self-reflective, making them easier to train and deploy.

  • Marketplace Agentalent.ai allows enterprises to hire AI agents for specific roles, bridging technical gaps.

Financial performance and business model

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

  • Enterprise segment shows strong expansion, offsetting weaker SMB performance.

  • New hybrid pricing model (seats plus credits) aims to align revenue with AI-driven usage and customer value.

  • Short-term revenue is a mix of seat and consumption, with a gradual shift toward consumption expected long-term.

  • Early customer feedback on the new model is positive, with long-term customers adopting agents to digitize operations.

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