The gap between AI potential and AI reality Is a leadership problem (www.techradar.com)

The divide between the potential of AI technologies and their actual outcomes is increasingly being recognized as a leadership challenge, according to recent insights from IBM’s Institute for Business Value. Despite substantial investments in AI tools and pilot programs, only 25% of AI initiatives achieved expected returns on investment. The key issue lies not within the technology but rather in the organizational structures that support it. Successful companies prioritize investing in human resources and processes over advanced AI models, with up to 70% of their resources going towards enhancing workforce capabilities rather than just technology. To realize AI's true potential, leaders must shift their focus from merely deploying tools to fostering an environment where employees are well-trained and supported in using AI effectively. This includes providing role-specific training, reevaluating the metrics of AI adoption, and integrating AI governance into daily operations rather than treating it as a compliance afterthought. Failure to address these human infrastructure needs may lead to fragile gains and misunderstandings among employees regarding AI's role in their tasks. Ultimately, closing the gap between AI potential and reality requires deliberate investment in people and processes, making it imperative that leadership reassesses its approach to AI integration.