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Research Aug 2026
... Access Insights Already a Gartner client? Agentic AI PCs mark a paradigm shift from operating applications to achieving outcomes through AI agents, regardless of where intelligence runs. Product leaders who move early to deliver personal agent experiences will define the next era of PCs, while laggards ...

Analyst(s):   Tracy Tsai   |   Steve Kleynhans   |   Erin Pierre
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Premium Research Aug 2026
... AI-era monetization is exposing revenue engines held together with duct tape. Token billing, volatile inference costs, agentic fraud and fragmented handoffs now threaten margin leakage, cash visibility and trust. AI-native order-to-cash gives CEOs a control layer before growth turns fragile. Insights ...

Analyst(s):   Efe Pazarceviren   |   Forest Conner
Research Aug 2026
... Access Insights Already a Gartner client? Most supply chain organizations use AI to improve reporting, but few use it to improve governance. This research explains how CSCOs can use AI to generate insights, prioritize issues and support performance decisions while maintaining human accountability. Insights ...

Analyst(s):   Ankur Mehta
Premium Research Aug 2026
... AI is changing who influences decisions that drive growth. As AI democratizes customer and market insights, marketing’s future relevance will depend on translating signals into decisions that drive growth. CMOs must strengthen marketing’s influence, protect decision rights and build the capabilities ...

Analyst(s):   Sharon Cantor Ceurvorst   |   Amy Abatangle
Premium Research Sep 2026
... AI cost escapes traditional control mechanisms. Without real-time visibility and control, CIOs are forced to manage spend reactively — inviting rapid, compounding bill shock. Embedding a cost discipline early with supporting tooling is critical to scale AI and deliver tangible value, giving organizations ...

Analyst(s):   Chris Ganly   |   Padraig Byrne   |   Robert Naegle
Premium Research Sep 2026
... Organizations are moving beyond testing and are now planning for how AI will impact infrastructure and IT operations. Heads of infrastructure and operations should leverage this research for identifying the top AI trends, prioritizing investment areas, and optimizing organizational change toward future ...

Analyst(s):   Ashish Banerjee   |   Chandra Mukhyala   |   Jonathan Forest   |   Nauman Raja   |   Sushovan Mukhopadhyay
Premium Research Sep 2026
... Gartner CEO Survey indicates that the main challenge in meeting CEOs’ AI ambitions is a lack of operational readiness rather than a lack of innovation. This action plan outlines how CxOs can build the capabilities required to realize AI’s value at scale without incurring major risks. Insights at a Glance ...

Analyst(s):   David Furlonger
Premium Research Sep 2026
... As organizations deploy autonomous network operations, most are focused on enabling the AI capabilities rather than the operational data sufficiency to drive AI authority. To safely scale agentic NetOps, heads of I&O must treat improving operational context as the key initiative to realize success. ...

Analyst(s):   Ajeeta Malhotra   |   Mike Leibovitz
Premium Research Oct 2026
... This assessment examines 18 leading agentic AI use cases for product development in manufacturing. This provides CIOs and AI leaders with a practical framework to prioritize adoption and focus investments on the opportunities most likely to improve product development and innovation outcomes. Overview ...

Analyst(s):   Alexander Hoeppe   |   Marc Halpern   |   Sudip Pattanayak
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