Agentic AI,
Artificial Intelligence & Machine Learning,
Next-Generation Technologies & Secure Development
CIOs Face Integration, Talent and ROI Hurdles Despite Rising AI Budgets
Chief Information Officers (CIOs) are gradually confronting the harsh realities associated with integrating artificial intelligence into their organizations. According to a recent study conducted by Cognizant, those anticipating swift success through simple plug-and-play AI tools may find themselves disappointed. The research emphasizes that the true benefits derived from AI will not materialize merely from purchasing standalone tools; instead, they will come from the investment of effort required to integrate AI within existing enterprise systems, workflows, and overarching operating models.
A considerable shift is noted in how organizations are selecting their AI partners. The Cognizant survey reveals that businesses are increasingly gravitating towards “AI builders” instead of traditional off-the-shelf vendors. This preference reflects a desire for more tailored, customized technological solutions that align better with their specific operational needs. IT service firms have a notable 23% trust advantage over management consultancies, mainly because CIOs prioritize hands-on implementation and operational accountability over high-level advisory roles.
Flexibility in engagement models has emerged as a significant factor in AI decision-making, surpassing even considerations like pricing and the speed of delivery. This insight was derived from a comprehensive survey involving 600 AI decision-makers and 38 senior executives, which took place in November 2025.
Ravi Kumar S, CEO of Cognizant, stated, “AI success is not about deploying isolated models – it’s about engineering intelligence into the enterprise with purpose-built solutions.” For a growing number of enterprises, AI has evolved into a central operational expense, with a striking 84% of surveyed companies now maintaining formal budgets dedicated to AI initiatives. An impressive 91% of those organizations anticipate that these budgets will expand, with half of the respondents expecting growth rates to reach double digits within the next two years.
Despite these robust financial commitments, achieving successful scaling of AI implementations remains fraught with challenges. Cognizant identifies a phase known as the “messy middle,” where companies find themselves grappling with discrepancies between ambitious goals and actual performance capabilities. Alarmingly, nearly two-thirds of enterprises admit to experiencing “moderate to large capability gaps” in this regard.
The survey underscores three primary barriers that hinder successful AI execution. One-third of those surveyed cited regulatory and compliance issues as significant stumbling blocks while navigating the convoluted legal landscape associated with automated decision-making. Additionally, 31% of respondents point to the challenge of showcasing tangible returns on investment (ROI) for these early-stage AI initiatives as a substantial hurdle. A further 27% indicated that both data and talent readiness present major obstacles; many organizations are struggling due to a shortage of skilled personnel and the clean data necessary to further advance pilot projects into full-fledged production.
Moreover, lingering legacy systems pose additional constraints, consuming up to 80% of IT budgets and restricting flexibility essential for modern AI integration. These outdated systems can severely limit companies’ abilities to adapt quickly to the evolving AI landscape.
When considering labor dynamics with the advent of AI, the survey results indicate that most AI leaders foresee a future characterized by collaborative roles between humans and AI, rather than widespread job displacements. Specifically, sales roles are expected to experience the highest likelihood of full automation at 20%, whereas finance positions are seen as least likely at only 10%. Interestingly, in customer service functions, 76% of workflows are expected to be dominated by AI, although only 9% believe these roles will be entirely automated.
Another study conducted by Cognizant revealed that merely 10% of all job tasks are fully capable of automation; however, this figure marks a significant increase from just 1% recorded three years prior, illustrating an important trend in workforce dynamics amidst technological advancement.