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Ryan McWilliams

stock analyst at Wells Fargo

Ryan MacWilliams is a stock analyst at Wells Fargo & Company, specializing in the computer and technology sector with coverage of 26 publicly traded companies. He covers specific companies including Elastic (ESTC), Five9 (FIVN), Twilio (TWLO), Dynatrace (DT), Braze (BRZE), Atlassian (TEAM), monday.com (MNDY), Klaviyo (KVYO), Confluent (CFLT), Datadog (DDOG), HubSpot (HUBS), and MongoDB (MDB), delivering a strong performance track record with a 59% success rate across 215 ratings and an average return of 14.10% per rating on TipRanks, including a standout +267% return on Zeta Global (ZETA). MacWilliams has issued 80 ratings over the last six years at Wells Fargo, primarily Buy (61%) and Hold (35%), with his most profitable calls in software and SaaS firms. Professional credentials include active status as a Wall Street analyst ranked #696 out of 9,927 on TipRanks.

Ryan McWilliams's questions to Atlassian (TEAM) leadership

Question · Q2 2026

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.

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Question · Q2 2026

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.

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