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Premium Research Aug 2026
... Director AI use is outpacing governance. Most boards lack formal AI guidance despite widespread AI adoption and access to sensitive information. GC must make board AI governance a priority by assessing usage, setting clear policies, and formalizing training. Insights at a Glance Strategic Planning Assumption ...

Analyst(s):   Alissa Lugo
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Premium Research Sep 2026
... foundation models and strong AI coding tools, but its AI portfolio remains narrow compared to many competitors. This unique Gartner analysis compares OpenAI’s capabilities against primary competitors across 10 critical AI capability layers. Note 1: Gartner’s Evaluation of the AI Frontier Vendor Landscape ...

Analyst(s):   Gary Olliffe   |   Mark Wah   |   Frances Karamouzis   |   Pieter den Hamer   |   Svetlana Sicular   |   Eric Goodness   |   Chris Howard   |   Tigran Egiazarov   |   Naresh Singh   |   Jeremy D'Hoinne   |   Nitish Tyagi   |   Roxane Edjlali   |   Adrian O'Connell   |   Soyeb Barot   |   Fernando Pereiro   |   Annette Zimmermann   |   Chandra Mukhyala   |   Chirag Dekate   |   Meghan Hollis   |   Sumit Agarwal   |   Russ Hendy   |   Rita Sallam   |   Ray Valdes   |   Haritha Khandabattu   |   Mark Cooper   |   Jason Wong   |   Whit Andrews   |   Cary Pillers   |   Alfredo Ramirez IV   |   Lauren Kornutick   |   Zane West   |   Aaron Rosenbaum   |   Padraig Byrne   |   Luis Pinto   |   Radu Miclaus   |   Jim Hare   |   Ayca Moseley   |   Robert Brown   |   Chris Laske   |   Mark Driver   |   Neil MacDonald   |   Tracy Tsai   |   John Watts   |   Daryl Plummer   |   Alastair Woolcock   |   Enrique Castera   |   Gaurav Gupta   |   Mike Cisek   |   Arun Chandrasekaran
Premium Research Oct 2025
... Current AI agents cannot handle enough actions to implement complex workflows. Multiagent systems break through this limit but introduce new challenges. Understanding this constraint will help AI leaders plan effective agent deployments and manage expectations for automation potential. Gartner Research ...

Analyst(s):   Van Baker   |   Tom Coshow
Research Mar 2026
... Access Insights Already a Gartner client? Portfolio management leaders face challenges with AI planning and execution in support of CIO ambitions, including literacy gaps and hype-driven expectations. A mix of AI technology is required to close the widening gap between expected and actual outcomes. Insights ...

Analyst(s):   James Boyle
Research Apr 2026
... client? AI agents present new challenges due to nondeterministic and autonomous behavior requiring an update to the traditional SDLC. Software engineering leaders can overcome the challenges by establishing an opinionated ADLC to streamline the processes and practices in building and delivering AI agents ...

Analyst(s):   Manjunath Bhat   |   Gary Olliffe   |   Tigran Egiazarov   |   Adrian Leow
Research Apr 2026
... Insights Already a Gartner client? Increasing AI adoption is exposing gaps in how cybersecurity teams manage cyber risk. This note outlines key actions across methodology, people and technology to help cybersecurity leaders adapt cyber GRC practices for embedding AI cyber-risk management, avoiding the creation ...

Analyst(s):   Lampis Alevizos   |   Pedro Pablo Perea de Duenas   |   Deepti Gopal
Research Apr 2026
... restore throughput and more by uncertainty in recovery decisions, dependency sequencing, and execution. This execution gap between perceived readiness and actual recovery speed exposes organizations to extended downtime and reinfection risk. Heads of I&O must apply AI-assisted decision support and automation ...

Analyst(s):   Kuldeep Singh
Announcement August 10 2026
... Forecasts Worldwide AI-Optimized IaaS Spending to Grow 96% Through 2026 STAMFORD, Conn., August 10, 2026 Overview Inference-Driven AI Infrastructure Spending to Grow 55% in 2026 AI-Optimized IaaS Spending to Increase 56.5% in 2027 Inference Workload Spending to Surpass Training Spending in 2026 The rise of ...
Research Feb 2026
... client? As organizations invest in optimizing workflows, the enterprise cross-functional AI agents and assistants market will exceed $23 billion in spend in 2030 (59.0% CAGR). Failure to enable productivity by building customer trust and application compatibility will result in missed revenue opportunities ...

Analyst(s):   Kay Arnott   |   Arup Roy   |   John Santoro   |   George Brocklehurst
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