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Premium Research Mar 2026
... innovation leaders face disruptive organizational politics as AI impacts power across the enterprise, threatening to undermine effective and efficient use of AI as a valuable technology. These seven insights help master the power politics needed to make AI succeed at scale. Insights at a Glance Strategic Planning ...

Analyst(s):   Frank Buytendijk   |   Bart Willemsen
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Research Feb 2026
... Access Insights Already a Gartner client? The AI leader role fills a critical leadership vacuum within enterprises to champion AI-driven transformation. AI leaders must elevate their role and enhance their effectiveness to shift the conversation to continuous reinvention, create new enterprise strategies ...

Analyst(s):   Mike Rollings
Research Apr 2026
... Access Insights Already a Gartner client? AI is entering supply chains in two fundamentally different modes, yet many organizations govern both the same way. CSCOs must classify AI use cases by decision model and authority to effectively drive AI innovation into operational workflows. Insights at a Glance ...

Analyst(s):   Vas Plessas   |   Caleb Thomson   |   Snigdha Dewal   |   Leonard Ammerer   |   Balaji Abbabatulla   |   Tess Frenzel
Premium Research Apr 2026
... Recruiting leaders can use this newsletter to keep up with current trends in recruitment tech. This installment discusses AI recruiting agents, the impact of candidate AI use, and how to weigh AI efficiency gains against added rigor. Also included are regular features, such as recent tech market changes. Insights ...

Analyst(s):   Jackie Watrous
Premium Research Apr 2026
... CEOs’ expectations of AI’s impact outpace CFOs’ in both speed and scope. This significant disconnect means CFOs must rework their approach to AI — and do so quickly. To learn more, CFOs can review new findings from our survey, which polled 330 CEOs and 100 CFOs across industries and geographies. Insights ...

Analyst(s):   Jessica Kranish
Research Feb 2026
... weaknesses in architecture, testing and governance if strong discipline is not already in place. Software engineering leaders must select AI code assistants or AI coding agents based on team readiness and engineering maturity. Insights at a Glance Strategic Planning Assumptions Impact Brief Actions ...

Analyst(s):   C.A. Swan
Research Feb 2026
... must pivot from basic connectivity to AI application optimization services to capture growth in the AI economy, leveraging latency as a monetizable asset. This transition extracts value from the shift to distributed AI inference and optimizing platforms for hybrid AI execution. Overview Strategic Planning ...

Analyst(s):   Dennis Stevens
Webinar On-Demand
... between growing investment and limited effectiveness creates a significant challenge as leaders face mounting pressure to demonstrate value, navigate rapid AI-driven change and make smarter technology decisions. In this webinar, you’ll learn benchmark insights and practical guidance for managing and optimizing ...

Analyst(s):   Amber Gallihar Boyes
Research Feb 2026
... Already a Gartner client? Scaling AI systems has always been the most critical problem of the discipline, across all AI eras; the latest ones, generative AI and agentic AI, are no exceptions. AI leaders have to oversee the expansion of AI initiatives beyond pilots, embedding AI into the core processes and ...

Analyst(s):   Erick Brethenoux
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