S&P Global Report Charts Enterprise Race to Build AI Agent-Ready Infrastructure
S&P Global (NYSE: SPGI) released the report Big Picture 2026 AI Outlook: Unleashing Agentic Potential on Nov 5, 2025, finding 58% of organizations are actively pursuing agent capabilities.
Key takeaways: agentic AI shifts systems from chat to autonomous workflows, driving a critical infrastructure overhaul, security rethinking, broader data-provenance needs, and higher sustainability pressures. The report cites GPU shipment projections up >500% versus original 2023 estimates for the 2025–2026 timeframe as a primary indicator of investment demand.
- 58% of enterprises actively pursuing agent capabilities
- GPU shipment projections up more than 500% for 2025–2026
- Agentic AI promises significant operational improvements and competitive advantage
- Agentic systems consume significantly more IT capacity than chat systems
- Increased data-provenance and context-engineering requirements
- New security needs: non-human identity frameworks
- Greater data center demand and sustainability challenges from intensive operations
Insights
S&P Global's report signals large enterprise demand for agentic AI, stressing infrastructure, security, and data-management needs.
The research describes a shift from chat-centric models to autonomous, agentic systems that initiate actions and run concurrent workflows; this raises compute, data access, and identity demands and helps explain the cited GPU shipment projection growth of
Key dependencies and risks center on data readiness, staff skills, and security frameworks. Effective rollout requires a robust data provenance layer, context engineering, and non-human identity models; failure on these fronts increases operational risk and attack surface. The report also flags sustainability pressures from higher data center consumption.
Watch for concrete adoption signals and timing: uptake rate metrics such as the reported
New research reveals
The research shows that agentic AI represents a fundamental shift from chat-based interactions to autonomous systems capable of taking independent action. Unlike traditional AI that requires human prompting, agents can initiate multiple workflows simultaneously, dramatically increasing infrastructure demands and introducing new security considerations.
"Companies that can harness agentic AI's power early can have a significant competitive advantage," said Eric Hanselman, Chief Analyst, 451 Research at S&P Global. "Agentic approaches can solve much more complex problems, but success depends on having the right data foundation and skilled teams in place."
According to the 451 Research Voice of the Enterprise AI & Machine Learning study,
Key findings include:
- Infrastructure Strain: Agentic systems consume significantly more IT capacity than chat-based systems as they break free of human pacing and launch multiple prompts and cascade into other agents
- Data Management Evolution: Agents increase the scale and breadth of data access, requiring more sophisticated data provenance, quality assessment and context engineering
- Security Complexities: Agents require new non-human identity frameworks beyond traditional user authorization policies
- Sustainability Concerns: The intensive resource consumption of agentic operations will further drive AI-related data center demand and sustainability challenges
The report also emphasizes that successful agentic implementation requires expanded thinking around AI implications, moving beyond simple automation to comprehensive resource management and security frameworks.
To request a copy of Big Picture 2026 AI Outlook: Unleashing Agentic Potential or to access the full suite of 2026 Big Picture reports, please contact press.mi@spglobal.com or visit here.
To learn more about Artificial Intelligence at S&P Global, please visit here.
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About S&P Global:
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SOURCE S&P Global