What 300 cloud leaders are doing — and not doing
to prepare for the surge in AI-driven workloads.
The Gen AI Readiness Report: Cloud Infra at the Turning Point
What You Will Learn in This Report
The top pressures and priorities shaping how cloud, DevOps, and infrastructure leaders preparing to navigating the GenAI era
AI Workload Growth Is Inevitable
Why AI-driven workloads are reshaping infrastructure demand and what’s coming next.
What are the Main Readiness Gaps?
Security, governance, and visibility are the top cracks in infrastructure readiness that AI will magnify
DevOps Bandwidth
Nearly half of leaders say their teams lack innovation bandwidth — How firefighting and ticket queues are limiting scale for cloud teams.
Key Findings from the GenAI Readiness Report
AI Workload Growth Is Inevitable — Few Teams Are Ready
50% workload growth is expected in the next 12–24 months, yet only 46% of teams say their cloud automation can scale. Most organizations are unprepared for the GenAI surge
DevOps Teams Are Already Out of innovation Steam
1 in 2 DevOps engineers report they lack bandwidth for innovation. Instead of scaling, they’re firefighting, leaving little room to prepare for AI-driven workloads
Familiar Weaknesses Become AI Roadblocks
Reliability (43%), skills gaps (39%), and scalability (36%) are the most common weaknesses. AI isn’t introducing new problems — it’s magnifying old ones. As workloads spike, these gaps will expose critical vulnerabilities and slow down delivery
What Cloud Leaders Need to Succeed: Skills and Visibility
45% of leaders say better training and visibility are the keys to success in scaling AI. Skills and clarity outrank cost control, governance, and automation — making them the top priorities for cloud teams
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Get the complete findings and recommendation from 300 cloud, DevOps, and infrastructure leaders. See the benchmarks, gaps, and strategies shaping the GenAI era — and learn how your team compares.
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