Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational efficiency remain business bedrocks, executives also must now manage the complexities of machine learning, the integrity of their data systems, and the risks of algorithmic bias.The change represents more than just a tech update; it marks a fundamental redefinition of the skills required for business leadership.Research from the McKinsey Global Institute on the economic impact of artificial intelligence shows that companies integrating it effectively have boosted profit margins by up to 15 percent. Yet the same study revealed a sobering reality: 87 percent of organizations acknowledge significant AI skill gaps in their leadership ranks.That disconnect between AI’s business potential and executive readiness has created a need for a new type of professional education.The leadership skills gap in the AI eraTraditional business education, with its focus on finance,
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