At InferenceCloud.ai, we observe three distinct paths to AI adoption, shaped by extensive experience across various sectors like finance and healthcare.
Type A: Bottom-up Adoption assumes that distributing AI tools leads to productivity. However, this approach faces two major barriers: the value capture gap, where individual gains do not translate to organizational benefits, and the human bottleneck, where employees resist adjustments that could reduce their roles.
Type B: Top-down Revolution is an ideal yet challenging approach that redefines business processes around AI without emotional resistance. It focuses on maximizing efficiency and cost reduction but requires a level of organizational readiness that many companies lack.
Type C: Strategic Hybrid emerges as the pragmatic solution, focusing on high-leverage problems and using targeted, metric-driven initiatives to build credibility and skills for gradual transformations. This method not only aligns with existing KPIs but also paves the way for future innovation in AI adoption.
