AI is evolving. Your strategy must evolve too
AI is shifting from supportive analytics to autonomous action. In 2026, organizations that adopt agentic AI—systems that can execute decisions within clear guardrails—are positioned for exponential gains. According to our research, AI leaders are 2.5× more likely to achieve higher revenue growth because they invest strategically in end-to-end process automation, reliable data foundations, and embedded governance. The future belongs to those who scale AI responsibly and holistically to end-to-end process automation, reliable data foundations, and embedded governance. The future belongs to those who scale AI responsibly and holistically.
Beyond GenAI: Why agentic AI will redefine enterprise leadership
In today’s enterprise world, AI is no longer a tech topic — it’s a leadership choice. In this video, Bart Moens, Head of Data & Analytics at NTT DATA Benelux & France, explains the shift from generative AI to agentic AI and why the real question for leaders is: Which decisions are we ready to delegate and on what data?
Six strategic AI choices that will shape 2026
AI is entering a new phase. Over the past years, organizations have focused mainly on experimenting, piloting, and building early use cases. But 2026 will be different. We are now seeing AI systems evolve from tools that simply advise systems that can act autonomously and execute decisions within clear boundaries.
In 2026, success will not be defined by models, but by people, data quality, governance, and the willingness to embed AI at scale.
In the end, AI will not define tomorrow’s leaders. The decisions they choose to delegate — and the ones they refuse to — will.”
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Head of Data & Analytics Benelux & France, NTT DATA
Bart Moens
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