AI ROI is real.
The unlock is uneven.
Enterprises are investing, experimenting and scaling—but outcomes diverge sharply based on clarity of value, readiness to change and the foundations that support AI at scale.
In our 3rd edition of The Blueprint series, featuring 500 business and IT leaders, we reveal how organizations are navigating the age of GenAI and identify specific shifts in strategy, culture, data and architecture required to bridge the gap from experimentation to enterprise-wide leadership.
AI Leaders are racing ahead of the pack
18% of organizations—AI Leaders—are maximizing the ROI on their AI investments
AI Leaders understand that the most meaningful ROI isn't just technical—it’s personal. By shifting their focus from simple cost-cutting to human-centric outcomes such as superior customer experience and employee satisfaction, these frontrunners are building a massive lead in innovation and product development.
This maturity creates a foundation of radical trust that leaves "Followers" in the rearview. While the rest of the market hesitates, Leaders are already architecting the agentic frontier—demonstrating significantly higher confidence in autonomous actions and a clear readiness to let AI agents handle the heavy lifting.
See AI's impact on innovation and product development
AI delivers superior CX
Confidence in agent initiated actions
The gap between AI Leaders and AI Followers isn’t a single tool, model or platform decision. It’s the ability to make value real for the business, build confidence across the workforce and scale responsibly on modern foundations.”
Corporate Vice President and Global Head,
Digital Business Services, HCLTech
Make value
personal
Build confidence
at scale
Fix your
data
reality
Modernize
to scale
Are your AI investments strategic—or just darts in the dark?
For many organizations, AI adoption is being pushed by FOMO—but AI Leaders are turning that urgency into focused action. Nearly three-fourths are guided by clear business use cases and measurable value, making adoption more purposeful from the start. They are also 4x more likely to have agile structures that help AI ideas move quickly, while visible leadership sponsorship moves AI from scattered experimentation to enterprise-wide transformation.
line
Is cultural debt quietly compounding in the corners of your organization?
The workforce gap is becoming one of the clearest divides between AI Leaders and Followers. Nearly nine in ten AI Leaders have an organization-wide strategy for retraining and upskilling employees, creating a stronger foundation for adoption. More than half, 54%, also encourage teams to experiment with AI tools and new ways of working, making them twice as prepared to manage continuous AI-driven change.
Have comprehensive and organization-wide defined strategy for retraining or upskilling employees
Employees are encouraged to experiment with AI tools and new ways of working
Prepared to manage continuous organizational changes driven by AI
Can you trust AI-generated insights when the data beneath them is standing on wobbly legs?
Strong data foundations are where AI ambition starts becoming operational reality. AI Leaders are 8x more likely to trust that their data can support GenAI efforts, showing how important confidence is to progress. They are also ahead in building responsible data-sharing cultures and assigning clear ownership for AI-driven decisions, turning data into a trusted enterprise asset rather than a hidden constraint.
How much longer can legacy architecture support the pace, scale and ambition of your business?
Scaling AI puts pressure on systems that were never built for this level of speed, complexity or demand. Nearly nine in ten organizations still lack the modern architecture needed to support AI investments, yet only one in ten are investing sufficiently in legacy modernization. Leaders recognize the issue more clearly, with about one-third calling technical debt their biggest challenge, turning modernization into the foundation for scalable AI growth.
Legacy architecture is a huge bottleneck
The bottom line
As AI adoption accelerates, the gap between high-performing organizations and the rest of the enterprise landscape continues to widen.
Our research shows that organizations extracting the greatest value from AI are not simply investing more aggressively. They are investing more deliberately, building the cultural and technical foundations required to scale AI across the enterprise.
Looking for insights tailored to your industry?
Click the links below to download your industry-specific report.
Financial Services
Learn how AI Leaders in financial services are using trusted AI to sharpen decisions, personalize experiences and manage risk with greater confidence.
Learn how AI Leaders in Life Sciences and Healthcare are accelerating discovery, improving patient outcomes and building more connected care ecosystems.
Manufacturing
Learn how AI Leaders in Manufacturing are creating smarter operations, strengthening supply chains and embedding intelligence across the production lifecycle.
Learn how AI Leaders in Retail and Consumer Goods are anticipating demand, personalizing customer journeys and turning real-time insights into growth.
Telecom and Media
Learn how AI Leaders in telecom and media are modernizing networks, automating operations and delivering richer digital experiences at scale.
Subscribe to the HCLTech Newsletter
for our latest news and insights.