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Research Sep 2026
... a Gartner client? AI-mediated discovery is reshaping customer expectations of digital commerce experiences. Digital commerce leaders must now embed conversational capabilities by adopting AI shopping agents for their platforms to deliver experiences equal or superior to external AI platforms. Insights ...

Analyst(s):   Mike Lowndes   |   Sandy Shen
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Premium Research Aug 2026
... Many HR leaders are moving quickly to adopt AI in talent management. This report enables HR leaders to benchmark their approach against how their peers are using and planning to use AI in talent management. It also provides ideas for using AI agents and offers practical guidance to mitigate risks. Insights ...

Analyst(s):   Kate Jensen   |   Colleen Malley
Premium Research Jul 2026
... investment and forward-looking dependency on AI to improve business operations and reduce inefficiencies, CHROs are looking for a way to quantify AI’s impact on the total cost and return of the workforce. The insights in this report help CHROs measure and track AI and labor costs. Insights at a Glance Strategic ...

Analyst(s):   Grace Myers   |   Vatsala Syed   |   Jonathan Jackson
Premium Research Jul 2026
... compromise, mixing legacy patterns and modern approaches. As AI in OT accelerates and technology work spans the enterprise, this research goes deeper into helping industry CIOs apply Gartner IT Archetypes to modernize, manage risk and effectively scale AI. Insights at a Glance Issue Impact More Detail Gartner ...

Analyst(s):   Ricardo Chang   |   Simon Cushing
Premium Research Aug 2026
... role in enabling managers to communicate AI-related change, address employee concerns, respond confidently to difficult questions and build trust during periods of uncertainty. This tool helps HRBPs assess communication needs, prepare managers for difficult AI conversations and support effective follow-through ...

Analyst(s):   Shyam Nair
Premium Research Sep 2026
... Traditional enterprise governance collapses at AI speed. In the agentic era, executive leaders must move from policy-as-documents to real-time control. This shift requires embedding AI governance into systems, aligning it to decision ownership, and continuously balancing risk and value at scale. Insights ...

Analyst(s):   Priya Sundararaman
Research Sep 2026
... Access Insights Already a Gartner client? This research reframes 13 traditional EA worst practices for the AI era, proving that AI exacerbates legacy failures. It warns that unadapted practices will fail 20 times faster through 2030 and delivers three strategic shifts (including everything-as-code guardrails ...

Analyst(s):   Saul Brand
Premium Research Sep 2026
... Enterprise SaaS vendors rush to embed AI into legacy products, repackaging SKUs and raising costs without customer safeguards. Heads of IT procurement must negotiate nondiminishment protections, anchor AI spend to renewals and set test-to-launch governance to curb costs and protect long-term plans. ...

Analyst(s):   Ishan Anand   |   Quintin Casper
Research Sep 2026
... Access Insights Already a Gartner client? AI is becoming a horizontal technology, but not a horizontal spending opportunity. A small group of industries will continue to account for the majority of AI investment through 2030, making industry-specific strategies critical for technology providers seeking ...

Analyst(s):   Jeff Casey   |   Shivani Palepu   |   Jonathan Rivera   |   Rishi Sood   |   Peter Kjeldsen   |   Marlena Brown   |   Debbie Buckland   |   Jonathan Davenport   |   Kay Arnott   |   Scot Kim   |   Simon Cushing   |   Gregor Petri   |   Inna Agamirzian   |   James Ingham   |   Nicole Foust   |   Sruthi Nair   |   Hanna Karki
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