IBM’s $10 billion bet on what comes after AI

IBM CEO Arvind Krishna outlines the strategic imperative for enterprises to move beyond AI experimentation toward scalable, domain-specific implementation. Foundation models are rapidly becoming commodities, necessitating a shift toward cost-efficient, purpose-built solutions rather than universal, resource-heavy applications. While AI offers significant productivity gains, successful adoption requires integrating domain expertise with robust internal checks to manage output quality. Beyond AI, IBM is betting heavily on quantum computing to solve complex molecular and biological problems, signaling a transition from theoretical research to practical industrial utility. Throughout this technological evolution, organizational culture remains the primary hurdle; leaders must actively counteract human loss aversion by fostering a risk-tolerant environment where failure is viewed as a necessary component of innovation rather than a career-ending event.