
{"id":3832,"date":"2025-08-19T18:02:37","date_gmt":"2025-08-19T18:02:37","guid":{"rendered":"https:\/\/rax-stg-wp-aws.com\/blogs\/the-ai-leaders-what-sets-the-top-13-apart\/"},"modified":"2026-11-03T19:26:08","modified_gmt":"2026-11-03T19:26:08","slug":"the-ai-leaders-what-sets-the-top-13-apart","status":"publish","type":"blogs","link":"https:\/\/www.rackspace.com\/en-gb\/blogs\/the-ai-leaders-what-sets-the-top-13-apart\/","title":{"rendered":"The AI Leaders: What Sets the Top 13% Apart"},"content":{"rendered":"<p class=\"paragraph\">While 87% of companies are still deciding how to run their AI pilots, a small but powerful group has already embedded AI into their core operations. These organizations are no longer just ahead \u2014 they\u2019re accelerating at a pace that others may struggle to match.<\/p>\n<p class=\"paragraph\">In our latest global survey of 1,420 technology decision-makers across 10 countries and industries, just 13% of companies emerged as true AI Leaders. These organizations have integrated AI across the enterprise and aligned it with their business strategy. The results? A widening gap in performance, value and future-readiness.<\/p>\n<p><strong>The performance divide is staggering<\/strong><\/p>\n<p>The data reveals two very different realities. A small group of AI Leaders has scaled AI across their operations and is reaping measurable returns. Most others remain in pilot mode, still searching for proof of value.<\/p>\n<p class=\"paragraph\">Sixty-four percent of AI Leaders report significant ROI from AI initiatives \u2014 nearly twice the rate of other organizations (33%). This isn\u2019t incremental progress; it\u2019s a step-change in impact.<\/p>\n<p class=\"paragraph\">AI Leaders have also embedded AI deeply into the business. While many companies remain stuck in pilot mode, 91% of AI Leaders have integrated AI into customer experience and product development. Only 32% of other firms can say the same.<\/p>\n<p class=\"paragraph\">And AI Leaders are using AI agents as a competitive edge. Among them, 77% have agents in production and are scaling their use. Just 24% of other organizations have reached that point. These agents aren\u2019t simple chatbots \u2014 they\u2019re autonomous systems driving measurable outcomes.<br \/>\nAs one survey respondent, the head of business intelligence at a healthcare company, explained, \u201cAI helps us run operations, forecast demand and reduce waste. It\u2019s not a side project \u2014 it\u2019s driving long-term growth, innovation and impact.\u201d<\/p>\n<p><strong>The four pillars of AI leadership<\/strong><\/p>\n<p>What separates AI Leaders from the 78% still navigating early-stage implementation? The research points to four foundational strategies that define how they invest, integrate, measure and prepare their workforce for AI success:<\/p>\n<p class=\"paragraph\"><strong>1. Invest boldly<\/strong><\/p>\n<p class=\"paragraph\">AI Leaders don\u2019t wait for certainty. They move decisively. While the average company invested $2.5 million in AI and machine learning last year, AI Leaders plan to spend $8.7 million in 2025. That\u2019s nearly four times the average.&nbsp;<\/p>\n<p class=\"paragraph\">For AI Leaders, every dollar invested is aimed at accelerating tangible business outcomes. It\u2019s a strategic move to accelerate progress. Ninety-four percent plan to increase AI budgets over the next five years, compared to 83% of others. They understand that early momentum fuels lasting advantage.<\/p>\n<p class=\"paragraph\"><strong>2. Integrate deeply<\/strong><\/p>\n<p>For AI Leaders, AI isn\u2019t an overlay, it\u2019s a core capability. They embed it into operations where it drives performance, speed and scalability.<\/p>\n<p class=\"paragraph\">Their infrastructure choices reflect this mindset. Over half (52%) of AI Leaders use hybrid cloud strategies to run AI where it works best, balancing the flexibility of public cloud with the control of private environments. That flexibility leads to faster deployment, deeper integration and stronger ROI.<\/p>\n<p><strong>3. Measure outcomes<\/strong><\/p>\n<p>AI Leaders build and buy solutions based on outcomes, not ideology. They take a balanced approach to solution development, splitting investments roughly 50\/50 between in-house development and third-party solutions.<\/p>\n<p class=\"paragraph\">AI Leaders also track the metrics that matter, and they do so more consistently than other organizations. Compared to their peers, they are:<\/p>\n<ul>\n<li>15% more likely to measure ROI<\/li>\n<li>10% more likely to track innovation and market impact<\/li>\n<li>9% more likely to monitor customer satisfaction and NPS<\/li>\n<\/ul>\n<p class=\"paragraph\">This disciplined focus on measurement nearly doubles their likelihood of reporting substantial business benefits from AI.<\/p>\n<p class=\"paragraph\"><strong>4. Empower your workforce<\/strong><\/p>\n<p class=\"paragraph\">Technology only works when people are ready to use it. Seventy-six percent of AI Leaders say their teams have the skills and training needed to work with AI, compared to just 42% of other companies.<\/p>\n<p class=\"paragraph\">But it\u2019s not just about capability; it\u2019s also about confidence. AI Leaders take the time to communicate clearly with employees, addressing concerns and showing how AI helps reduce low-value tasks and opens up more strategic work.<\/p>\n<p class=\"paragraph\">As one survey respondent, the head of product at a financial services company, explained, \u201cWhen we introduced AI, people were naturally cautious. But once it was embedded into our processes, the reaction flipped. In areas like operations and compliance, it\u2019s taken pressure off the team.\u201d<\/p>\n<p><strong>The acceleration effect<\/strong><\/p>\n<p>The advantage AI Leaders hold isn\u2019t static. It continues to build. Each success fuels bigger investments, which drive broader adoption and stronger results. This creates a virtuous cycle that\u2019s difficult to interrupt.<\/p>\n<p class=\"paragraph\">Meanwhile, organizations stuck in pilot phases often face a different loop. Without scale, there\u2019s no clear ROI. Without ROI, there\u2019s no business case for scaling.<\/p>\n<p class=\"paragraph\">AI Leaders also gain momentum from their infrastructure. Their hybrid cloud strategies allow them to scale quickly as new models and use cases emerge. While others debate architecture, they\u2019re already deploying next-gen AI agents across operations.<\/p>\n<p><strong>Beyond the hype: real business transformation<\/strong><\/p>\n<p class=\"paragraph\">AI Leaders see AI as a strategic driver of growth and competitiveness, instead of simply a tool for automation. Eighty-seven percent consider it a core competitive advantage as part of a mindset that\u2019s reshaping how they operate and compete.<\/p>\n<p class=\"paragraph\">These organizations aren\u2019t replacing people \u2014 they\u2019re elevating them. AI takes on repetitive, rules-based tasks, while teams focus on innovation, decision-making and strategy. The result is a more agile, more empowered workforce.<\/p>\n<p>Looking ahead, AI Leaders already have clear priorities:<\/p>\n<ul>\n<li>19% are investing in cybersecurity and threat detection<\/li>\n<li>18% are optimizing processes through automation<\/li>\n<li>17% are building fully autonomous decision systems<\/li>\n<\/ul>\n<p><strong>The widening gap<\/strong><\/p>\n<p class=\"paragraph\">The most urgent takeaway? This gap is growing, and fast. AI Leaders aren\u2019t just ahead; they\u2019re pulling further away each quarter.<\/p>\n<p class=\"paragraph\">That distance creates a new competitive reality. Traditional differentiators like customer service, supply chain efficiency or pricing power are becoming obsolete when competitors can optimize, forecast and respond in real time.<br \/>\nEvery quarter of delay deepens the divide. A 64% ROI advantage doesn\u2019t just hold steady. It multiplies.<\/p>\n<p><strong>What this means for your organization<\/strong><\/p>\n<p>AI Leaders are proving that business advantage now depends on AI maturity. The question isn\u2019t whether AI will reshape your industry, it\u2019s whether you\u2019ll help lead that change or get forced to react to it.<\/p>\n<p class=\"paragraph\">Our full report, <a href=\"https:\/\/www.rackspace.com\/lp\/2025-ai-research-report\">The AI Acceleration Gap: Why Some Enterprises Are Surging Ahead<\/a>, explores the strategies, investments and decisions that separate the 13% from the rest. Download it today to benchmark your AI readiness and uncover a roadmap for enterprise-wide adoption.<\/p>\n<p class=\"paragraph\"><strong><a href=\"https:\/\/www.rackspace.com\/lp\/2025-ai-research-report\">Download the Complete 2025 Global AI Report now.<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Only 13% of enterprises lead in AI. Explore the four strategies driving their success, and how your organization can close the gap and scale with confidence.<\/p>\n","protected":false},"author":2,"featured_media":6053,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","format":"standard","meta":{"content-type":"","nid":"27991","content_type":"blog","created_by":"10130","authored_on":"2025-12-04T19:02:37+00:00","field_article_industries":"","tag_category":"AI Insights","field_blog_author_text":"by Ben Blanquera, VP of Technology and Sustainability, Rackspace Technology","seo_description":"Discover what sets top AI Leaders apart in strategy, investment and execution \u2014 based on insights from 1,420 global tech decision-makers.","field_featured_image":"\/wp-content\/uploads\/2026\/blog_article_images\/27991-field_featured_image-Article-Image_0.jpg","insights_image":"\/wp-content\/uploads\/2026\/blog_article_images\/27991-insights_image-Latest-Insights_0.jpg","field_partners":"","rxt_platforms":"","product":"","publisheddate":"2025-08-19T18:02:37","rxt_solutions":"","opengraph_tag":"\/wp-content\/uploads\/2026\/blog_article_images\/27991-opengraph_tag-OpenGraph_0.jpg","x_tag":"\/wp-content\/uploads\/2026\/blog_article_images\/27991-x_tag-X-Card_1.jpg","teaser_flag":"Blog","seo_titile":"The AI Leaders: What Sets the Top 13% Apart | Rackspace Technology","field_topics":"AI","field_slug":"ai-leaders-what-sets-the-top-13-apart","footnotes":""},"categories":[178],"tags":[179,181],"class_list":["post-3832","blogs","type-blogs","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai","tag-ai-insights"],"_links":{"self":[{"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/blogs\/3832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/blogs"}],"about":[{"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/types\/blogs"}],"author":[{"embeddable":true,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/comments?post=3832"}],"version-history":[{"count":1,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/blogs\/3832\/revisions"}],"predecessor-version":[{"id":3833,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/blogs\/3832\/revisions\/3833"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/media\/6053"}],"wp:attachment":[{"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/media?parent=3832"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/categories?post=3832"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rackspace.com\/en-gb\/wp-json\/wp\/v2\/tags?post=3832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}