Enterprise AI Workloads, Economics & Future Strategy
- Time
- 5 min
- Questions
- 14
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
Screening Questions
5 questions
CORE SURVEY
9 questions
About This Research
This executive benchmark captures where technology leaders are focusing their AI efforts—from accelerating production pilots to scaling high-impact use cases across the business. It explores how organizations evaluate and select partners across hyperscalers, specialist AI clouds, and model APIs, highlighting the strategic factors that actively encourage or limit adoption.
Going beyond routine IT management, this study analyzes the commercial realities of AI compute economics: optimizing GPU costs and availability, pinpointing unpredictable expenses (such as data egress and idle capacity), and assessing vendor lock-in versus workload portability. Intended for CTOs, CAIOs, and enterprise AI leaders, all responses are completely confidential and analyzed strictly in aggregate.
Time to FILL : ~5 min (all MCQ)
Executive Takeaway: Participants who opt in will receive the finalized benchmark report and market insights.