Citi’s 2025 Global Technology, Media and Telecommunications Conference
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Autodesk (ADSK) Citi’s 2025 Global Technology, Media and Telecommunications Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for Autodesk Inc

Citi’s 2025 Global Technology, Media and Telecommunications Conference summary

31 Dec, 2025

AI strategy and product innovation

  • AI is being leveraged to automate tedious tasks, accelerate workflows, and lower barriers to using complex design software, expanding the potential user base.

  • The AI Lab, established in 2018, focuses on industry-specific AI, with notable features like Auto Constrain in Fusion showing rapid adoption and improvement cycles.

  • AI features are driving a shift toward a consumption-based business model, with high customer acceptance and increased product usage.

  • The AI roadmap follows a continuum from feature automation (small models) to workflow and system automation (larger models), with monetization evolving from subscription to consumption as compute needs grow.

  • Future plans include leveraging historical project data, dynamic user interfaces, and expanding generative and predictive AI capabilities to further transform workflows.

Competitive positioning and industry leadership

  • Significant lead in AI for design, evidenced by hundreds of scientific publications and a robust feedback loop with customers.

  • Deep industry expertise, proprietary data, and advanced infrastructure make it difficult for new entrants or hyperscalers to compete at scale.

  • Traditional competitors are only now building AI capabilities, while the company has an eight-year head start.

  • Internal infrastructure and operational models for AI are highly optimized, with custom solutions outperforming standard cloud offerings.

  • Even well-funded competitors would need four to five years to reach current capability levels.

Data, cloud transition, and enabling technologies

  • Cloud adoption and granular data organization are prerequisites for effective AI deployment and workflow transformation.

  • Ongoing multi-year journey to break down complex project data into elemental components, enabling efficient collaboration and automation.

  • Progress is visible through customer examples and will be further highlighted at upcoming Autodesk University events.

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