Ryan McWilliams

Ryan McWilliams asked about the strategic advantage for monday.com customers to build AI agents within the platform, leveraging existing data and workflows, rather than using external tools. He also inquired about the free cash flow guidance for the year, asking if there's extra conservatism and why the operating margin and free cash flow margin appear tighter than in previous years.

Answer

Eran Zinman, Co-CEO, emphasized the significant value of creating agents on a platform where all data, processes, and workflows already reside, highlighting the context-awareness, security, and enterprise-grade nature of monday.com's offering. Eliran Glazer, CFO, attributed the free cash flow forecast to several factors: the strong and rapid appreciation of the Israeli shekel (impacting costs), increased investments in AI and SLG motion, a lower interest rate environment, potential future cash tax payments due to profitability, and opportunistic share repurchases impacting cash utilization.

Ryan McWilliams asked about Atlassian's strategic position outside large AI labs, specifically how it benefits from customers using Jira across their organization while developers utilize various coding tools and new AI models.

Answer

CEO and Co-Founder Mike Cannon-Brookes explained that Atlassian excels at adapting and delivering value from new AI models, acting as an application vendor rather than a chip vendor. He highlighted the ability to use models from multiple foundation labs and integrate various agent platforms into Jira workflows. He noted that increased use of AI coding tools leads to 5% higher Jira usage (tasks, MAU, seat expansion) because greater efficiency drives more innovation, complexity, and collaboration, which ultimately benefits Atlassian.

Ryan McWilliams asked about Atlassian's position outside large AI labs, enabling customers to use Jira long-term while developers use their preferred coding tools, and how this strategy benefits Atlassian as new models are released.

Answer

Mike Cannon-Brookes (CEO, Atlassian) explained that Atlassian's strength lies in adapting and delivering new models through applications, not selling chips. He highlighted their ability to use multiple foundation models and integrate with various agent platforms, allowing customers to model business processes in Jira while using best-of-breed agents. He also noted that increased use of AI coding tools leads to more Jira tasks, MAU, and seat expansion.