The Intersection of Strategy and Science
The rapid acceleration of artificial intelligence and DeepTech is redefining the intersection of strategy, science, and governance, placing unprecedented weight on executive judgment, according to a recent analysis by CXOToday. As business models come under pressure before the full consequences of emerging technologies are understood, leaders can no longer rely purely on traditional frameworks in finance, strategy, or operations.
Artificial intelligence is accelerating changes already underway through digital transformation, connected devices, data, and cloud computing. The pace of this shift makes the current period unusual for business executives who must navigate these complexities.
Managing modern digital transformation requires a hybrid skill set combining technological fluency and scientific literacy with managerial rigor and geopolitical awareness. This combination is necessary to question machine-driven answers and evaluate strategic risks effectively.
Shifting Educational Priorities
Business education has traditionally focused on management, economics, finance, or strategy. However, today leaders also need a working understanding of science, technology, and geopolitics because these subjects increasingly influence decision-making.
Prof. Cédric Denis-Rémis, Dean of the ESCP School of Technology and Executive Vice-President of ESCP Business School, stated that we should be cautious about confident predictions because it is unknown what AI will look like in five, ten, or twenty years. He emphasized that good strategy and leadership depend on assessing what is known, recognizing what is not known, and making decisions accordingly.
Prof. Denis-Rémis believes science needs to be brought back into management education. ESCP’s School of Technology is designed around the principle of studying management alongside mathematics, computer science, data science, and scientific methodology. The institution aims to equip students with the ability to communicate effectively with engineers, medical doctors, scientists, and other technical experts, even if they do not become specialists themselves.
Questioning Machine-Driven Answers
When information is available almost instantly and machines can produce highly confident answers, students need to know how to question those answers. The scientific method, critical thinking, and judgment become essential parts of management education to ensure leaders can bridge the gap between frontier research and commercial application.
Organizations must shift away from chasing tools to addressing core business problems, ensuring alignment across culture, processes, and institutional incentives. This evolution demands that management education reintegrate scientific methodology and critical thinking, equipping leaders to make sound decisions in an environment where technology is constantly evolving.
The Complexity of AI Deployment
Deploying AI is simultaneously a strategic, organizational, human, legal, and often geopolitical decision. Business schools need to give leaders intellectual tools to understand technology and transformation well enough to make sound decisions in this complex landscape.
Prof. Cédric Denis-Rémis stated that the objective should not be to chase every new tool but to understand technology deeply enough to decide where it genuinely matters. This approach requires leaders to possess technical and scientific knowledge to understand how AI systems work, their limitations, risks, and organizational fit, as well as geopolitical awareness to understand the regulatory and strategic environment.