In 2019, Ant Financial surpassed one billion users within five years, operating a large-scale financial services organization with fewer employees than a typical multinational bank branch. This growth was driven by algorithms, with artificial intelligence (AI) and data forming the company’s digital core. The transition from human-centered processes to algorithm-driven decision-making signaled a new era of competition. Similar dynamics are emerging in healthcare. Globally, and particularly in Africa, the sector is approaching a pivotal moment as traditional models of hospitals, insurers, and ministries of health encounter AI-powered organizations and methodologies that are likely to redefine competitive success. Healthcare has traditionally been regarded as a human-centered industry, dependent on clinical expertise, patient relationships, and trust. However, AI is transforming the fundamental logic of care delivery. Algorithms now detect cancers with accuracy comparable to radiologists, predict patient deterioration in intensive care units, triage large volumes of digital consultations, and automate insurance claim processing. Similar to Ant Financials’ removal of managers from loan approvals, emerging health platforms are eliminating manual bottlenecks in care, diagnostics, and administration. This shift results in both increased efficiency and scalability, as AI systems can serve thousands of patients simultaneously, a scale unattainable by even the most skilled medical teams. These developments have significant competitive implications.
Please subscribe to unlock full access.
