# Survey of 1,125 executives finds AI workloads growing faster than infrastructure readiness

DevFeed: [Survey of 1,125 executives finds AI workloads growing faster than infrastructure readiness](<https://devfeed.tech/articles/1-000-tech-leaders-know-ai-is-scaling-faster-than-systems-can-adapt-23820.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/tech-leaders-ai-scaling-faster-than-systems>)

Author: Becca Weng

Published: 2026-01-29T00:00:00Z

Content type: article

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [Data Infrastructure](<https://devfeed.tech/topics/data-infrastructure.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [legacy](<https://devfeed.tech/topics/legacy.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [apis](<https://devfeed.tech/tags/apis.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [backend](<https://devfeed.tech/tags/backend.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [data-infrastructure](<https://devfeed.tech/tags/data-infrastructure.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [legacy](<https://devfeed.tech/tags/legacy.md>), [production](<https://devfeed.tech/tags/production.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [survey](<https://devfeed.tech/tags/survey.md>)

## AI overview

A report based on a survey of 1,125 senior cloud, infrastructure, and engineering executives examines whether enterprise systems can support the growth of AI workloads. The article says every surveyed company expects AI workloads to increase in the next year, while many respondents expect their infrastructure to reach its limits or fail within the next two years. It identifies cloud infrastructure and databases as major potential failure points and describes agentic AI as creating continuous demand that challenges legacy backend architectures.

## Source excerpt

Before AI workloads entered production en masse, infrastructural resilience was already key to mission-critical applications. But in 2026, resilience alone won't be enough. The real challenge, one that's already reshaping engineering priorities and strategic business initiatives is resilience at scale.