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Research Mar 2026
... Access Insights Already a Gartner client? AI slop is lowering the quality of information, and changing laws are making the AI product market trickier. Product leaders can stand out by labeling premium assets as “AI-free,” thus mitigating potential risks of faulty AI products and content that may be misleading ...

Analyst(s):   Marty Resnick   |   Sabine Zimmerhansl
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Premium Research Jun 2026
... Software engineering leaders must use platform engineering to deliver opinionated, automated paths that enable AI agents to build, deploy, and operate software. Ensure scalable, consistent, and compliant outcomes by exposing machine-consumable building blocks with embedded governance and validation. ...

Analyst(s):   Cary Pillers
Research Jul 2026
... Access Insights Already a Gartner client? Scaling AI agents to production requires replacing ad hoc memory implementations with governed memory capabilities. Software engineering leaders should adopt agent memory tools for reliable continuity across long-running and multiagent workflows. Overview Strategic ...

Analyst(s):   Neha Agarwal
Research Jun 2026
... Access Insights Already a Gartner client? AI pricing uncertainty is a material enterprise risk. As vendors blend subscriptions, consumption and outcomes, costs become harder to predict at scale. CIOs must understand trade-offs and actively manage pricing to protect value, predictability and trust. Strategic ...

Analyst(s):   Hannah Decker   |   Shruthi Shankel   |   Andy Rowsell-Jones   |   Bill Ryan   |   Akanksha Pandey   |   John Santoro
Research May 2026
... Access Insights Already a Gartner client? Traditional agent observability creates a blind spot. AI agents meet service level agreements while drifting from business intent or compliance. To ensure compliance, trust, and control, monitor reasoning drift — tracking how decisions are made, not just outcomes ...

Analyst(s):   Antonia Roesler   |   Priya Sundararaman   |   Ben Yan
Research Jul 2026
... Access Insights Already a Gartner client? Next-generation self-evolving AI agents will replace static models by independently adjusting their internal structures postdeployment. For CIOs, the strategic questions center on the timeline, workloads, and governance controls for this transition. Overview ...

Analyst(s):   Mark Driver
Premium Research Apr 2026
... Memory chip demand (DRAM and NAND) has surged, driven by major AI cloud data centers, resulting in significant price increases for PCs in early 2026 and disruptions in product availability. Heads of I&O must review and adjust PC purchasing plans and budgets to navigate price increases. Insights at a ...

Analyst(s):   Steve Kleynhans   |   Erin Pierre
Premium Research Sep 2026
... into business transformation milestones before execution scales. Insights at a Glance Strategic Planning Assumption Reframing HRBP Responsibility in an AI-Driven, Self-Service World The New HRBP Mandate: Own the Decisions That Shape Transformation Step-by-Step Guidance to Own Transformation-Critical ...

Analyst(s):   Chirag Aggarwal
Research Apr 2026
... Gartner client? Most heads of I&O are pursuing an AI-enabled future through outdated processes and methods, limiting both efficiency and demonstrable value. These insights present a three-step framework (audit, analyze, activate) intended to close this gap in a structured, repeatable way. Insights at a Glance ...

Analyst(s):   Mark Margevicius
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