The honeymoon phase of AI enthusiasm is ending, giving way to the Gartner Hype Cycle’s Trough of Disillusionment characterized by unmet expectations and high failure rates. Specifically, up to 95% of generative AI pilots fail to scale due to factors like unrealistic vendor timelines, overselling the replacement of human roles, lack of integration with existing tech stacks, and ignoring essential prerequisites such as data governance and organizational alignment.
These issues highlight the complexities of embedding AI into business-critical workflows. Vendors and leaders must focus on realistic roadmaps, human-in-the-loop systems, and seamless integration to avoid operational inefficiencies and failure. The lack of preparation often causes organizations to amplify existing inefficiencies rather than solve them.
Despite setbacks, the article stresses that AI’s promise remains intact if leaders identify warning signs and prepare thoroughly. By asking the right questions about timelines, human roles, integration, readiness, and ROI, organizations can transition past disillusionment toward mature AI strategies that deliver measurable value and lasting impact.
👉 Pročitaj original: CIO Magazine
