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Premium Research Mar 2026
... Massive capital investments in AI infrastructure by leading U.S. technology firms are driving up hardware prices and lengthening lead times. CIOs must rapidly adapt their infrastructure strategies to manage risks to IT budgets, project timelines and execution capabilities. Insights at a Glance Strategic ...

Analyst(s):   Julia Palmer   |   Joseph Unsworth   |   Mike Cisek
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Premium Research Aug 2026
... Boards are pressuring CEOs to get ROI from AI. CSCOs and CPOs can help drive ROI faster and more effectively by exploiting the service provider market’s shift to AI and outcome-based commercial models. Insights at a Glance Strategic Planning Assumption Issue Impact Implications Gartner Recommended Reading ...

Analyst(s):   Michael Dominy
Premium Research Oct 2026
... AI is making commercial intelligence easier to generate than executive judgment is to scale. Sales organizations that benefit the most from AI will be those that preserve leadership reasoning as recommendation volume, velocity and influence continue to expand. Insights at a Glance Issue Impact Implications ...

Analyst(s):   Bill Yetman   |   Christopher Gamble
Research Feb 2026
... Access Insights Already a Gartner client? Rapid AI compute infrastructure buildout continues to increase demand for GPUs and AI accelerators in servers. Adoption of dedicated AI processing cores in edge devices is further boosting demand. AI processing semiconductor revenue will reach $548.7 billion ...

Analyst(s):   Jon Erensen
Premium Research Feb 2026
... Matching the right partnership model with a given AI stack layer is essential for AI vendors to succeed with CSPs. AI vendor product leaders must choose wisely or risk a mismatch that disappoints partners, customers and ultimately revenue expectations. Insights at a Glance Strategic Planning Assumption ...

Analyst(s):   Khurram Shahzad   |   Pulkit Pandey
Research Feb 2026
... Gartner client? Frontier models — AI systems with advanced reasoning, multimodal, and autonomous capabilities — will set the technical, security, and performance standards for AI adoption. Product leaders can use these unique insights on four U.S. federal frontier AI model providers for competitive advantage ...

Analyst(s):   Daniel Snyder   |   George Sellner   |   Rishi Sood
Premium Research Oct 2026
... technical professionals, who must navigate a volatile landscape shaped by rapid AI advances, disruptive business conditions and geopolitical uncertainty, while maintaining focus on modernization and platform delivery. Overview AI, Cloud and Distributed Infrastructure Trends Setting Priorities Gartner Recommended ...

Analyst(s):   Sumit Rajput   |   Ross Fomerand   |   Cecilia Ayobami   |   Ang Troy   |   Jaishiv Prakash   |   Jorge Aragon   |   Lucas Albuquerque   |   Douglas Toombs   |   Avinash Dev Nagumanthri   |   Tony Iams   |   Lydia Leong   |   Bhuvie Chhabra   |   Mohini Dukes   |   Sushovan Mukhopadhyay   |   Ramana Swaroop   |   Harry Collinge   |   Simon Richard
Premium Research Oct 2026
... The patterns for robust, intentional AI agents are maturing and expanding, Common patterns now span the architecture, design and operation of AI agents using LLMs and foundation models. Software architects must select the right patterns to optimize agent behavior, cost and reliability. Overview Analysis ...

Analyst(s):   Steve Deng   |   Kyle Davis   |   Gary Olliffe   |   Harprit Singh   |   Raúl Arrabales
Premium Research Nov 2025
... The existence and timing of an AI investment bubble remain uncertain; however, some consequences will have a direct impact on enterprise IT. CIOs and AI leaders can mitigate exposure and position for advantage by sharpening their strategies around AI partnerships, startup engagement, infrastructure use ...

Analyst(s):   Peter Havart-Simkin   |   Soyeb Barot   |   Rajesh Kandaswamy   |   Pieter den Hamer   |   Arun Chandrasekaran   |   Leinar Ramos   |   Adam Woodyer   |   Erick Brethenoux
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