2026 Morgan Stanley Technology, Media and Telecom Conference
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IBM (IBM) 2026 Morgan Stanley Technology, Media and Telecom Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for International Business Machines Corp

2026 Morgan Stanley Technology, Media and Telecom Conference summary

14 Jul, 2026

Strategic focus and growth drivers

  • Emphasis on hybrid cloud and AI as core differentiators since 2020, with a shift toward infrastructure software and key consulting partnerships to drive growth.

  • Mainframe modernization and innovation have led to record growth, with continued focus on high-growth software and double-digit targets for the year.

  • Red Hat is positioned for mid-teens growth, driven by containerization, OpenShift momentum, and strategic partnerships, including SAP’s migration to Red Hat Enterprise Linux.

  • Transaction processing growth is underpinned by MIPS expansion, pricing discipline, and new product innovation, with adoption rates influencing upside potential.

  • Automation portfolio expanded through acquisitions (Turbonomic, Apptio, HashiCorp), with integration strategies focused on R&D investment, back-office synergies, and rapid go-to-market execution.

AI disruption, opportunity, and mainframe outlook

  • AI is viewed as a tailwind, with generative AI seen as a catalyst for infrastructure demand rather than a disruptor to core offerings.

  • Mainframe remains critical for transaction-intensive workloads, with modernization efforts and sovereign technology trends supporting its relevance.

  • AI is being embedded into legacy products (e.g., Db2 AI edition) to drive efficiency and growth.

  • Mainframe innovation and client adoption cycles are gradual, with new tools and capabilities introduced to support evolving needs.

Go-to-market transformation and productivity

  • Major changes in sales incentives, ecosystem partnerships, and technical sales approach have transformed go-to-market execution, with ongoing progress expected.

  • Productivity gains from AI-driven back-office automation have enabled significant R&D reinvestment, supporting a 30% increase in R&D spend since 2019.

  • Focus on expanding customer base beyond the top 2,000 enterprises, targeting broader TAM expansion.

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