While artificial intelligence (AI) adoption has become nearly universal among enterprises, only a small fraction are translating it into meaningful business growth, according to a new global research report released by HCLTech.
The report, ‘The Blueprint for AI Leadership’, found that although 90% of organisations say Generative AI (GenAI) and Agentic AI are transforming workflows, only 18% report a significant impact on revenue, highlighting a widening gap between AI adoption and business value creation.
The study, conducted by HCLTech in association with Raconteur, surveyed 500 enterprise decision-makers worldwide.
Operational gains outpace business outcomes
The findings indicate that AI is already delivering operational improvements across enterprises. Around 91% of respondents said AI has enhanced access to data, while 90% reported productivity gains.
However, the report suggests that most organisations are yet to convert these operational efficiencies into tangible business outcomes such as revenue growth, innovation and competitive differentiation.
According to the study, the real divide is no longer between companies that have adopted AI and those that have not. Instead, it lies between organisations that have successfully embedded AI into their business strategy and those using it primarily for incremental efficiency improvements.
AI leaders pull ahead
The report identifies a select group of enterprises as AI Leaders, which are significantly outperforming their peers by integrating AI into core business processes rather than treating it as a standalone technology initiative.
These organisations are four times more likely to scale Agentic and autonomous AI capabilities and demonstrate stronger execution in defining measurable AI use cases.
About 73% of AI Leaders have clearly defined measurable AI use cases, compared with just 22% among AI Followers. Similarly, 63% of AI Leaders have secured active sponsorship from senior leadership, against 36% of AI Followers.
The study also found that workforce readiness has emerged as a key differentiator. Nearly 93% of AI Leaders have established structured employee upskilling programmes, while only 20% of AI Followers have similar initiatives in place.
From pilots to enterprise transformation
According to HCLTech, organisations that continue to evaluate AI primarily through the lenses of cost reduction and operational efficiency risk falling behind competitors that are embedding AI into enterprise-wide decision-making and business workflows.
The report notes that AI Leaders are integrating AI into strategic planning, data infrastructure and workforce transformation, enabling continuous improvement, adaptability and large-scale deployment across business functions.
This shift from deploying isolated AI tools to orchestrating enterprise-wide transformation is emerging as the defining characteristic of AI maturity.
Leadership commitment is critical
HCLTech Corporate Vice President and Global Head, Digital Business Services, Pawan Vadapalli said organisations that are deriving the greatest value from AI are fundamentally rethinking how their businesses operate.
“AI has entered a decisive phase, and success will come down to how well organisations bring people, data and technology together. The organisations pulling ahead are not just running more pilots; they are rethinking how the business works, embedding AI into everyday decisions and workflows. It is this coordinated shift across leadership, culture and foundations that turns AI from a tool into real, long-term advantage,” he said.
The report suggests that as AI adoption becomes commonplace, competitive advantage will increasingly depend on how effectively enterprises integrate the technology into their business models rather than simply deploying AI applications.