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Research Jul 2026
... expose AI transformation risks through employee listening data. Use this research to translate employee listening signals into execution risks, determine intervention ownership, and inform business conversations to support AI adoption. Insights at a Glance Employee Listening Reveals Hidden AI Transformation ...

Analyst(s):   Catherine Donnelly
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Premium Research Sep 2026
... outsourcing’s shift from labor-based to AI-led automation offers heads of IT procurement a brief, high-value window to optimize costs, service portfolios, and locations. Rapid action is required though; strategic advantages will fade as providers solidify their new AI-augmented business models. Insights ...

Analyst(s):   Irada Veliyeva   |   Brett Sparks
Research Aug 2026
... Insights Already a Gartner client? As AI is accelerating the evolution of customer experiences, it is essential for CMOs to understand how their highest-priority personas are leveraging AI throughout their customer journey. This research outlines how to incorporate AI activities into customer personas and ...

Analyst(s):   Halle Stern
Premium Research Oct 2026
... Successful AI adoption in cybersecurity is people-led, not just technology-led. Humans will continue to remain essential for identifying use cases, implementing and configuring AI, and evaluating its success. This note examines how AI adoption will affect headcount, reskilling needs, reallocation of ...

Analyst(s):   Chiara Girardi   |   Scott Brinker   |   Richard Addiscott   |   Kevin Schmidt   |   Alex Tytarenko   |   Alex Michaels   |   Christopher Mixter
Research Sep 2026
... dramatically with the impact of AI. This research synthesizes lessons learned across thousands of interactions into a strategic roadmap of essential patterns and practices to create a world-class, AI-native software engineering organization. Overview Introduction AI-Driven Change AI-Native, World-Class Software ...

Analyst(s):   Annie Hodgkins   |   Alec Pallin   |   Dave Micko
Research Aug 2026
... Gartner client? Translating I&O’s AI technology investments into realized business value without risking reliability ultimately depends on internal process, people, data, and technical readiness. Heads of I&O must use this assessment to gauge their organization’s AI maturity, uncover priority gaps, and ...

Analyst(s):   Melanie Freeze   |   Chandra Mukhyala
Research Jul 2026
... Access Insights Already a Gartner client? While enterprise buyers possess AI tools and experience, they struggle to generate enterprise-scale value. Future AI services differentiation will not come from use-case discovery or model deployment, but from helping clients redesign the decision systems, governance ...

Analyst(s):   Danny Ryan
Research Jul 2026
... Access Insights Already a Gartner client? AI hype is driving CXOs to bypass IT, creating a dangerous recognition gap. To reclaim influence, CIOs must pivot to active co-creators. This note provides a practical framework for CIOs to engage CXOs on hands-on AI co-creation, rebuild strategic partnerships ...

Analyst(s):   Carolin Zhou   |   Bin Li   |   Greg Li   |   Owen Chen
Research Sep 2026
... IT procurement leaders face value leakage as vendors use legacy contracts to shift AI liability downstream and commercialize workflows. To stop exploitation, leaders must follow four negotiation rules, unbundle the AI triad, and establish a shared responsibility matrix across SaaS and SI deals. Insights ...

Analyst(s):   Rajib Gupta   |   Nathan Davie
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