The 18% Winning at AI All Do One Thing

Almost every company now says AI is changing how it works. Far fewer can show what it is worth.

In a new HCLTech study, 90% of organisations report that generative and agentic AI are reshaping their workflows, yet only 18% say the technology is making a real dent in revenue.

That gap is the heart of The Blueprint for AI Leadership, a report drawn from a survey of 500 business and IT leaders. HCLTech splits them into two camps, the 18% it calls AI Leaders and the 82% it calls AI Followers, and finds the divide has less to do with technology than with people.

The Leaders are four times more likely to scale agentic and autonomous AI and 63% more likely to have senior leadership behind them.

The Followers, the report's "lagging enterprises", tend to judge AI on cost and efficiency alone, and stall there.

"The gap between AI Leaders and AI Followers isn't a single tool, model or platform decision," says Pawan Vadapalli, Corporate Vice President and Global Head of Digital Business Services at HCLTech. "It's the ability to make value real for the business, build confidence across the workforce and scale responsibly on modern foundations."

On his reading, the Leaders have done three things at once.

• Made it strategic. They built AI into business strategy rather than bolting it on.
• Fixed the data. They put their data in order, so tools have something reliable to run on.
• Moved on their people. They invested early in retraining and culture.

It is the last of these that shows up most starkly in the numbers.

It comes down to the workforce

Where the two camps pull apart most sharply is their people. Some 93% of AI Leaders run structured upskilling programmes, against just 20% of Followers, and nearly nine in 10 have an organisation-wide plan for retraining staff.

More than half, 54%, actively push their teams to experiment with new tools and new ways of working. For a people team, that is the tell.

The Leaders are not waiting for perfect tools before training their staff, they are building the skills and the appetite in parallel, so adoption has somewhere to land.

That effort tends to be rewarded, because the resistance leaders fear is often overstated. "Workers are often more willing to adapt than assumed, particularly when they are empowered to shape how tools are integrated into their roles and can see a clear vision of how their work will evolve," says Sebastian Reiche, Professor of People Management at IESE Business School.

Where adoption does stall, he adds, "in many cases, deeper structural issues are at play".

Confidence runs through the data as well. AI leaders are eight times more likely to trust that their data can support generative AI, a sign of how closely culture and foundations move 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," says Pawan. "It is this coordinated shift across leadership, culture and foundations that turns AI from a tool into real, long-term advantage."