... procurement managers must adapt to AI-driven changes by embracing leadership roles, while staying integral to organizational growth. This research guides CIOs and IT SPVM leaders in redesigning the IT procurement manager job to unlock the potential of humans and AI in the future of work. Insights at ...
Analyst(s): Lily Mok | Yanni Karalis | Kabeh Vaziri
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... While organizations aggressively purchase AI, among those that have failed to scale, 75% cite workforce unpreparedness. High-tech executives who create tools and programs to support employee readiness for their buyers will see less stalled pilots and value erosion. Insights at a Glance Issue Context ...
... Agentic AI is forcing a pricing reset. Seat- and token-based models break when software delivers autonomous execution. Providers must redesign pricing around governed work, built-in predictability, and selective outcome alignment or risk stalled adoption, margin pressure, and lost trust. Insights at ...
Analyst(s): Vuk Janosevic | Sabine Zimmerhansl | Andrew Newman | Raymond Paquet
... IT vendor risk is entering a new era, driven by rapid AI adoption, volatile geopolitics and a need for instantly actionable risk intelligence. Continuous risk monitoring, vendor ecosystem mapping and continuity planning are more important now than ever before. Insights at a Glance Issue Context Impact ...
... Access Insights Already a Gartner client? AI is moving from cloud to local devices for faster, more private, and cost‑efficient use. AI leaders should adopt composable AI, place tasks wisely, protect data, ensure human oversight, and use logs for transparency, while managing any trade‑offs. Gartner Recommended ...
... accountable to expected business outcomes, often leading to buyer’s regret. Align organizational goals with vendor accountability models using XLAs and AI analysis to achieve expected outcomes. Insights at a Glance Strategic Planning Assumption Impact Actions How to Execute Success Measures Gartner Recommended ...
... Autonomous AI software engineer agents dramatically accelerate delivery, but enterprise-scale deployment demands governance and guardrails that most organizations underestimate. Software engineering leaders must adopt factory patterns and implement human-gated reviews to scale agents without compromising ...
Analyst(s): Nitish Tyagi | Alex Coqueiro | Philip Walsh
... Access Insights Already a Gartner client? Spec-driven software development is the key to scaling AI-native software development practices by enabling accurate code generation of large, complex projects. Product leaders can gain competitive advantage by embracing SDD or be sidelined by the efficiency ...
... client? The race for enterprise scale adoption is changing. Proofs of concept and push strategies are giving way to market pull strategies. With annual AI spending expected to exceed $4.7 trillion in 2030, competition will intensify, requiring leaders to move from push to pull based strategies. Overview ...