... AI is rapidly and significantly impacting how work is done, but employees are often resistant to or overwhelmed by this new reality, which can limit ROI on AI investments. CHROs need to direct managers to take actions that will positively impact AI ROI within their teams. Insights at a Glance Issue ...
Analyst(s): Colleen Adler
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... retirement risks within their teams. Initial investments in highly-touted GenAI tools have fallen short of delivering the expected productivity gains. As a result, HR must adopt a strategic role, not only in enhancing employees' AI skills but also in fostering their motivation, role design and career development ...
... Access Insights Already a Gartner client? Heads of I&O must manage technical debt and AI risks by embedding security into DevOps. This note outlines four steps to build an AI-ready, security-driven culture using AI-augmented tools, TRiSM governance and platform engineering without hindering agility. ...
Analyst(s): Hassan Ennaciri | Daniel Betts | Owen Marino | Chris Saunderson | Manjunath Bhat
... Gartner client? High AI usage metrics alone lead to false confidence and fail to show organizational readiness required for repeatable business value. CIOs and AI leaders must use these three KPI practices to track KPIs that reveal barriers and drive accountable, enterprisewide AI transformation. Insights ...
... As rapid enterprise AI adoption transforms work at both the organizational and the legal department level, current legal department structures will not hold. Leading GC will make targeted structural changes to ensure that legal can support the organization’s AI transformation objectives, manage new risks ...
... pressure to pursue more efficient AI-enabled HR operating models, but HR employees are skeptical about AI’s long-term impact on the HR function and their careers. CHROs should address these concerns head-on by resetting employees’ expectations around this change and AI-enabled workflows. Insights at a ...
... on investment will look much the same in an AI-driven supply chain as it does today. But there is a twist. The return period is under pressure, with many expecting significant returns within 12 to 18 months. Use The Right AIAI and machine learning have been used in supply chain for many years. Applications ...
... AI-related technology use cases struggle to achieve retail business outcomes due to mediocre vendor delivery, a lack of stakeholder alignment and supporting technologies. To make the shortlist, product leaders should use this research to understand retailers’ sentiment in critical investment areas. ...
... differentiation and creating continued value from the D&A function in financial services firms is critical. This note highlights the top five D&A trends impacting banking and insurance in 2026 that CIOs must address to scale data and AI efforts. Insights at a Glance Issue Context Impact Brief Implications ...