While many companies are still figuring out how to use AI effectively, a small group is already leading the way. New research from NTT DATA reveals the secrets behind these successful organizations. They use clear plans, make firm decisions, and stay disciplined in building and applying AI across their businesses. The study surveyed 2,567 senior executives across 35 countries and 15 industries, and found that only 15% of organizations qualify as AI leaders. These companies share common traits, such as having a clear vision for AI’s role, a strong operational model, and consistent follow-through. They also tend to see higher revenue growth and better profit margins than their peers. Yutaka Sasaki, President and CEO of NTT DATA Group, emphasizes that AI accountability now belongs in the boardroom and requires a company-wide focus. These AI leaders are already using technology to differentiate themselves, grow, and reinvent how humans and machines create value together.

The Playbook of Successful AI Strategies

One of the biggest differences between AI leaders and others is how they approach their strategy. For these top companies, AI isn’t just a side project or a quick fix. They see it as a core driver of growth and shape their plans around that idea. A key part of their success is how well they align AI initiatives with their overall business goals. This alignment allows them to move faster and stay focused on impactful areas, which leads to better financial results. Instead of spreading resources thin, they target a few high-value parts of the business. By redesigning workflows around AI, they unlock more value than if they only made small tweaks in scattered areas. This creates a kind of flywheel effect: early wins lead to more investment, which then leads to bigger successes. Over time, this cycle becomes self-reinforcing. These companies also embed AI deeply into important applications rather than just adding basic features on old systems. This approach helps them see deeper impacts and sets the stage for long-term gains.

Turning Plans into Action and Building Support

A solid AI plan is only effective if it’s backed by strong execution. Leading organizations focus on building strong foundations, supporting their teams, and encouraging adoption across the whole company. They invest in secure, scalable systems that can handle large AI workloads. Sometimes they adapt or localize their infrastructure to meet specific needs, such as private or sovereign AI requirements. Removing system bottlenecks is another priority, making sure teams can work without delays. Rather than replacing workers, AI leaders use the technology to empower experienced employees. This “expert-first” approach helps staff use their judgment while AI handles complex or repetitive tasks. They also invest in training and change management to make sure everyone is on board and comfortable with new tools. This focus on people and systems helps ensure AI initiatives deliver real value and become part of everyday business operations.

Overall, these companies demonstrate that success with AI comes from clear strategy, disciplined execution, and a focus on long-term value. They treat AI as a fundamental part of their growth journey, not just a technology upgrade. By doing so, they position themselves ahead in a competitive landscape where AI is becoming a key differentiator.

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