The article argues that much of the concern about AI replacing human work overlooks a more immediate issue, the growing gap between what AI systems can technically do and what organizations and individuals are actually able to use effectively. It explains that while AI capabilities are advancing rapidly, most workplaces lack the processes, skills, and cultural readiness to integrate these tools in ways that meaningfully improve outcomes. The piece emphasizes that productivity gains depend less on smarter models and more on redesigning workflows, clarifying human judgment roles, and building trust in AI-assisted decisions. It also notes that misalignment between expectations and real-world use often leads to disappointment or wasted investment. Overall, the article suggests closing the capability gap requires focusing on human adaptation and systems design, not just better AI.
