Enterprise AI Infrastructure: Workloads, Economics & Future Strategy (Cypher 2026)
- Time
- ~7 min est.
- Questions
- 13
No sign-in needed
AT A GLANCE
About This Survey
Who should take it
Professionals working in AI, data, analytics and technology roles.
Industry AnalysisWhat you get
Responses are aggregated to produce research reports, industry benchmarks, and insights that benefit the broader AI ecosystem.
Your data
Responses are aggregated and anonymized. Individual answers are never shared without your consent.
THE ROUTE
What we'll ask about
Screeners
5 questions
CORE SURVEY
8 questions
About This Research
This survey explores how enterprises are running and scaling AI workloads today, how they evaluate infrastructure options such as hyperscalers, owned infrastructure, specialist AI clouds/GPUaaS, and model APIs, and the factors shaping these decisions. It also examines AI infrastructure costs, provider support, workload portability, and how infrastructure strategies may evolve over the next 12–24 months. The survey is intended for technology, data, AI, infrastructure, and business leaders involved in AI strategy or infrastructure decisions. Responses will be analyzed in aggregate, and contact information will be kept confidential and used only to understand respondent roles and organizations.