Artificial intelligence is already transforming the way businesses produce, analyze, and innovate. But a more subtle transformation is currently taking place at the highest levels of organizations. According to a recent survey of business leaders in the United Kingdom, AI is no longer just a tool for analysis or automation: it is gradually becoming a strategic partner in decision-making.
\n\n\n\nIn boardrooms, instinct and experience remain essential. Yet, faced with the accelerating pace of markets, the complexity of data, and the pressure to make decisions, more and more executives are turning to AI systems to inform their choices.
\n\n\n\nThis shift does not mean that leaders are abandoning their judgment. Rather, it illustrates the emergence of augmented decision-making, in which human intuition, real-time data, and artificial intelligence work together to improve the quality of decisions.
\n\n\n\nA survey of 200 executives, founders, and senior managers in the United Kingdom shows that AI is gradually becoming an integral part of decision-making processes at the highest levels of organizations. The results are revealing.
\n\n\n\nThese figures illustrate a profound transformation: AI is no longer merely a technical tool used by data teams or engineers. It is becoming a tool to support strategic decision-making at the executive level.
\n\n\n\nIn many companies, executives now use generative AI systems or advanced analytics tools to:
\n\n\n\nIn other words, AI does not make decisions in place of the manager. It broadens the scope of consideration within which decisions are made.
\n\n\n\nAnother reason executives are relying more on AI is that the pace of decision-making has accelerated significantly. According to the study, 92% of executives believe that the pace of strategic decision-making has increased over the past three years.
\n\n\n\nSeveral factors account for this trend:
\n\n\n\nIn this context, leaders often have to balance speed with the quality of their decisions. The study reveals that 82% of the managers surveyed regularly have to choose between making a quick decision and making a decision based on all available information.
\n\n\n\nArtificial intelligence thus emerges as a tool capable of alleviating this tension by quickly analyzing vast amounts of data and providing actionable insights.
\n\n\n\nThe study also shows that AI is playing an increasingly important role as an analytical advisor to executives.
\n\n\n\n• 79% of executives say they trust AI to help them make complex decisions
• 88% believe that AI enables them to make decisions more quickly
• 83% say they feel less stressed when an AI analysis supports their decision
This trend reflects a shift in perspective: AI is no longer merely an operational tool. It is becoming an integral part of the strategic decision-making process.
\n\n\n\nHowever, the study also reveals an interesting phenomenon: 70% of executives admit to questioning their own judgment when it contradicts the AI’s recommendations.
\n\n\n\nThis finding shows that the relationship between humans and intelligent systems is still evolving. AI can boost confidence in decision-making, but it should not replace critical thinking.
\n\n\n\nOne of the key findings of the study concerns the central role of data in modern decision-making. The executives surveyed are not just looking for greater speed or more AI; above all, they want reliable data that is accessible in real time.
\n\n\n\nThe results are particularly revealing:
\n\n\n\nThese figures show that the future of decision-making relies neither on instinct alone nor on AI alone, but on a combination of human intelligence, artificial intelligence, and dynamic data.
\n\n\n\nIn this context, AI acts as a catalyst: it enables the transformation of data streams into actionable insights for business strategy.
\n\n\n\nThe study also highlights the emergence of a new key role within organizations: that of Data Streaming Engineer, responsible for managing real-time data streams.
\n\n\n\nThese specialists enable the transformation of continuous data streams into information that can be immediately utilized by AI systems and executive teams.
\n\n\n\nIn other words, modern decision-making now relies on a technological infrastructure capable of connecting data, artificial intelligence, and business strategy in real time.
\n\n\n\nThe growing integration of AI into decision-making processes nevertheless raises several important ethical questions.
\n\n\n\nFirst of all, excessive reliance on AI could lead some executives to delegate part of their decision-making responsibility to algorithmic systems. However, AI models are based on historical data that may contain biases or limitations.
\n\n\n\nNext, transparency becomes a key issue. To be used responsibly, AI must enable decision-makers to understand how and why a recommendation is generated.
\n\n\n\nFinally, the balance between human collaboration and algorithmic analysis must be maintained. Strategic decision-making remains a profoundly human endeavor, one that draws on intuition, experience, vision, and responsibility.
\n\n\n\nAI can contribute to this discussion, but it cannot replace the human ability to interpret complex contexts and the social dimensions of decisions.
\n\n\n\nUltimately, the study shows that artificial intelligence does not replace leadership. It transforms the way leaders analyze information and make decisions.
\n\n\n\nThe future of corporate governance will likely rely neither on instinct alone nor on algorithms alone. It will depend on intelligent cooperation between humans, data, and machines.
\n\n\n\nIn this emerging model, AI is becoming a tool for strategic thinking, capable of expanding the range of possibilities, accelerating analysis, and informing decisions. But ultimate responsibility remains with senior leaders.
\n\n\n\nRather than an outsourcing of thought, this development could signal the emergence of a new form of leadership: leadership enhanced by artificial intelligence.
\n\n\n\nDelegating part of the reasoning process to AI systems raises profound questions about the evolution of human capabilities in the face of generative technologies. On a related topic, check out our article“When AI Reaches Average Human Creativity: Schools and Work Facing the End of a Comfortable Myth, ” which analyzes how recent advances in AI models challenge notions of creativity, expertise, and intellectual value within organizations.
\n\n\n\n1. Confluent. (2026). Quick Thinking 2.0: Balancing Instinct, AI, and Insight.
https://www.confluent.io/resources/report/quick-thinking-2026/
2. 3Gem Market Research. (2025). Executive Decision-Making and AI Survey.
https://www.3gem.com
Artificial intelligence is already transforming the way companies produce, analyze, and innovate. But a more subtle transformation is currently taking place at the top of organizations. According to a recent study of business leaders in…
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