70% of organizations say DevOps maturity materially affects AI success.<\/p>\n
Perforce Software, the DevOps company for global teams seeking AI innovation at scale, today announced the findings of the\u00a02026 State of DevOps Report, which surveyed 820 technology professionals worldwide; 54% of respondents hold C-level positions. The survey examined whether AI renders traditional DevOps practices obsolete, how AI is impacting roles, whether rising energy or cloud costs limit AI adoption, and governance gaps in AI adoption.<\/p>\n
Alongside the State of DevOps Report, Perforce produced a report focused specifically on\u00a0AI\u2019s role in testing. Key findings in AI-augmented testing reveal:<\/p>\n
Ownership of test authoring is shifting to developers while\u00a0QA teams focus on analytics orchestration.<\/p>\n
Progress is being made in compliance automation and secure-by-default practices, but a skills gap exists.<\/p>\n
Measurement is shifting from execution metrics to business outcomes (customer retention, feature delivery speed, revenue impact).<\/p>\n
\u00a0Key Report Findings<\/p>\n
The findings conclude that organizations with mature DevOps practices* are more successful in scaling AI than those with immature practices. In short, DevOps has not failed; incomplete DevOps has. DevOps is also the precursor to AI expanded across a company\u2019s SLDC:<\/p>\n
70%\u00a0of organizations say DevOps maturity materially affects AI success.<\/p>\n
Further, organizations with mature DevOps practices embed AI more readily across their software delivery lifecycle:<\/p>\n
72% AI Embedded for High Maturity<\/p>\n
43%AI Embedded of Mid-Maturity<\/p>\n
18% AI Embedded for Low-Maturity<\/p>\n
\u201cThe market often asks whether AI will replace DevOps. Our research shows the opposite: AI amplifies DevOps,\u201d said Anjali Arora, CTO of Perforce and Author of The State of DevOps Report. \u201cOrganizations with disciplined engineering practices, automation, strong collaboration, and focus on control, auditability, and governance are the ones scaling AI successfully and turning innovation into measurable business outcomes.\u201d<\/p>\n
AI is Shifting Roles in DevOps, Especially in Testing:<\/p>\n
87%\u00a0of respondents believe that AI will enable engineers to focus less on scripting and more on system design and directing outcomes. Often called a\u00a0shift-up role change.<\/p>\n
Testing is one of the greatest areas of impact for role changes:<\/p>\n
55% of\u00a0QA teams increased focus on quality analytics rather than test execution<\/p>\n
53% of respondents say developers author tests directly.<\/p>\n
41% report\u00a0QA teams are evolving into Quality Engineering (QE) teams, with 39% citing a focus on orchestration across pipelines, environments, and data.<\/p>\n
38% say that business analysts are involved in test creation.<\/p>\n
\u201cThe research confirms what we are already seeing: AI is helping teams shift up from execution to oversight and strategy, effectively elevating individual roles,\u201d said Jake Hookom, EVP of Product at Perforce and Author of The State of DevOps Report. \u201cBut the research also highlights that governance and auditability need to be a focus for organizations and the collaboration between teams.\u201d<\/p>\n
Confidence in AI Outputs Outweighs Visibility into AI\u2019s Performance and Governance:<\/p>\n
77% have confidence in AI outputs, with 57% citing operational efficiency, 49% say productivity\u00a0ROI is top-of-mind, and 47% note that improved developer experience is most important.<\/p>\n
Yet governance is fragmented and incomplete. Compliance oversight is split between multiple functions, and only 39% have full automated audit trails. Without automated audit trails, measurement becomes expensive and inconsistent.<\/p>\n
The Benefit and Cost of AI: 37% Cite Cloud and Energy Cost as a Limiting Factor<\/p>\n
74% say AI meets or exceeds expectations. 50% measure AI\u2019s value through customer retention or acquisition, 48% see faster delivery, and 44% cite revenue or market share impact.<\/p>\n
74% said that cloud\/compute costs and energy usage influence their organization\u2019s decisions about AI adoption, and\u00a037%\u00a0cite these as limiting factors.\u00a0<\/p>\n
View the State of DevOps Report 2026\u00a0here\u00a0and download the AI in Testing edition\u00a0here.The post Perforce 2026 Report: Mature DevOps Drives AI Success first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
70% of organizations say DevOps maturity materially affects AI success. Perforce Software, the DevOps company for global teams seeking AI innovation at scale, today announced the findings of the\u00a02026 State of DevOps Report, which surveyed 820 technology professionals worldwide; 54% of respondents hold C-level positions. The survey examined whether AI…<\/p>\n
The post Perforce 2026 Report: Mature DevOps Drives AI Success<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-1527","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n