{"id":179296,"date":"2025-09-30T05:34:24","date_gmt":"2025-09-30T05:34:24","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/179296\/"},"modified":"2025-09-30T05:34:24","modified_gmt":"2025-09-30T05:34:24","slug":"genai-public-cloud-spend-survey-2025-ahead-of-the-curve","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/179296\/","title":{"rendered":"GenAI Public Cloud Spend Survey 2025 \u2013 Ahead of the Curve\u00ae"},"content":{"rendered":"<p>                    The TD Cowen Insight<\/p>\n<p>In our survey of 215 North American IT decision-makers, we see that GenAI workloads are migrating quickly to public cloud hyperscalers and Software as a Service (SaaS) players. While just 12% of cloud spend is on GenAI workloads for 2025, that number is expected to rise to 28% by 2028. This shift implies that GenAI spend should increase by four times in coming years, driven by rising adoption across virtually all company functions.<\/p>\n<p>Our Thesis<\/p>\n<p>Our proprietary survey work, captured in this report across seven TD Cowen analyst sectors, suggests GenAI&#8217;s tectonic shift is well underway in cloud as adoption of GenAI tools, workloads and budgets continues to rise. Within three years, 42% of surveyed firms expect to spend more than 30% of their cloud platform budget on GenAI and 90% expect it to be at least 10% of their budget.<\/p>\n<p>Alongside our survey work, we include detailed profit and losses of major public cloud platforms, demonstrating the upward trajectory of those businesses amid GenAI&#8217;s secular shift.<\/p>\n<p>Over the next several years, we believe revenue growth at major public cloud platforms will be driven by:<\/p>\n<p>ramping GenAI workloads migrating to the cloud and<br \/>\nfurther non-AI workload migration, with 19% of workloads supported by public cloud platforms in 2025 (24% in five years).<\/p>\n<p>Although we expect healthy topline growth for leading cloud platforms in 2026, the modest deceleration in our out-year forecasts may prove conservative based on our survey data and ongoing historic AI infrastructure capital expenditure cycle from the hyperscalers.<\/p>\n<p>What Is Proprietary?<\/p>\n<p>Since 2012, we&#8217;ve published a multidisciplinary annual survey on public cloud computing that has been predictive of critical industry trends. Our latest report largely focuses on GenAI trends and details including:<\/p>\n<p>GenAI spend expectations with public cloud providers over the next three years and<br \/>\nGenAI adoption trends and most impactful use cases across companies:<\/p>\n<p>leading foundation models used and how companies access those models,<br \/>\nagentic AI adoption and<br \/>\nkey risks to GenAI adoption.<\/p>\n<p>Our respondents are split evenly among small to medium-sized businesses (SMB), mid-size and enterprises.<\/p>\n<p>Financial and Industry Model Implications<\/p>\n<p>GenAI cloud spend could rise four-fold in 2025 to 2028. Respondents expect cloud-related GenAI spend to rise from 12% of total cloud spend to 28% in three years.<br \/>\nPer our survey data, roughly 60% of companies spend less than 10% of their cloud budget on GenAI workloads. Within the next three years,  that workload is expected to be at least 10% of cloud budget for 90% of respondents. Respondents also expect cloud spend to grow 22% year over year in 2026.<\/p>\n<p>What To Watch<\/p>\n<p>GenAI cloud adoption is rising: Three out of four (75%) respondents are using or implementing GenAI Tools compared to 66% in last year&#8217;s survey, with adoption rising across nearly all company functions. The use of multiple GenAI tools across organizations continues to rise with 63% using two or more tools, and over 20% using 4+ tools.<\/p>\n<p>Ramping GenAI workloads should drive huge cloud spending increase: Currently, most respondents are spending less than 10% of their cloud spend on GenAI. Looking ahead three years, approximately 90% of surveyed firms expect to spend more than 10% of their cloud budget on GenAI, and 42% of firms expect to be spending 30% or more.<\/p>\n<p>GenAI tools expected to be used across more company functions: Our survey results reveal a large year over year increase in use cases across various company functions including legal (+51%), human resources (+43%), marketing (+23%), customer service (+21%) and finance (+21%). More than nine out of ten respondents who have deployed GenAI workloads have seen productivity and efficiency gains, though fewer than half have seen a commercial impact.<\/p>\n<p>Most impactful GenAI use cases across company functions: Software development (55% identified it as most impactful); customized copy generation for marketing (34%); external facing chatbots (26%); agentic support for customer support (29%); legal drafting for legal (46%); and summarizing historical company performance, simulating scenarios for risk assessment and agentic AI for finance (all at 19%), all within the finance function.<\/p>\n<p>Public Cloud and SaaS are leading platforms for GenAI deployment: The majority of respondents are considering public cloud and SaaS for deployment.<\/p>\n<p>Agentic AI: One-quarter of respondents use agentic AI solutions, led by enterprise adoption, with that number expected rise to 37% in the next three years.<\/p>\n<p>Cloud and GenAI provider relationship: It is somewhat important to select the same GenAI infrastructure provider as their cloud provider according to 63% of those surveyed.<\/p>\n<p>GenAI usage risks: Data security (71%), lack of clarity on the value of deploying GenAI workloads (38%) and fears of model accuracy (34%) are top concerns among our survey respondents.<\/p>\n","protected":false},"excerpt":{"rendered":"The TD Cowen Insight In our survey of 215 North American IT decision-makers, we see that GenAI workloads&hellip;\n","protected":false},"author":2,"featured_media":179297,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[64,63,257,105],"class_list":{"0":"post-179296","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-au","9":"tag-australia","10":"tag-computing","11":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/179296","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=179296"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/179296\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/179297"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=179296"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=179296"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=179296"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}