... product value from features to intent. Product leaders must pivot from incremental development to architecting autonomous outcome engines, using agentic AI and synthetic data to monetize productivity and harness tomorrow’s revenue surge. Overview Strategic Planning Assumptions Analysis Gartner Recommended ...
Analyst(s): Tracy Tsai
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... The 2026 Gartner CCO Spend Survey data shows that Communications is shifting resourcing to PR, AI and analytics to enable more data- and tech-driven impact and address broader business transformation challenges. This research empowers CCOs to benchmark and optimize budgets and resourcing decisions. ...
Analyst(s): Patryck Allen | Iliyana Hadjistoyanova
... The rise of autonomous agents and high-cost AI infrastructure is breaking traditional per-seat models. To survive, tech leaders must transition to pricing frameworks where revenue scales with realized customer value, ensuring economic sustainability in an era where software does the work of humans. ...
... strategic and operational risks of decentralized AI, such as runaway shadow spending, redundant AI engineering, and data vulnerabilities. Heads of EA must mandate a shift from siloed experiments to centralized, platform-driven AI orchestration for safe and effective AI adoption. Insights at a Glance Strategic ...
... Laying the foundations for an AI-native supply chain today will determine future AI competitive advantage. CSCOs can leverage this research for actionable insights on operating model redesign, new role creation, and implementing technology upgrades, enabling them to develop an AI strategy and initiate the ...
... Access Insights Already a Gartner client? Emerging AI technologies have exposed organizations to a higher degree of risk than other recent technology trends, in the form of both internal and external threats. The good news is that AI use cases are emerging that help to reduce overall organizational risk ...
... The rapid rise of autonomous, agentic AI — including Anthropic’s Cowork plug‑ins — is disrupting traditional delivery models built on labor and location arbitrage. CIOs and sourcing leaders now face a market that is quickly transitioning toward outcome‑driven, AI‑orchestrated services, prompting new risks ...
Analyst(s): Sundar Viswanathan | DD Mishra | Avinash Dev Nagumanthri | Alan Stanley
... AI workloads force I&O into new domains, demanding a fundamental rethink of your platform team’s vision, skill sets, and governance mechanisms. This research explores the foundational transition from traditional infrastructure to an AI-native infrastructure platform engineering model, covering critical ...