AI could flip the script because it is the first technology that is accessible through natural language rather than specialized technical skills. Past technological disruptions required workers to learn software, programming, or analytical tools to benefit from new systems. This created a push factor that required businesses to lead adoption and integration. AI lowers the entry barrier with tools that extend and amplify human capability. The interface is a conversation rather than code.
As a result, consumer AI apps like ChatGPT, Gemini, Claude and CapCut are helping drive adoption. And yet, businesses are struggling to create tangible, scaled value that justifies the billions of dollars of investment in this technology.
Over 80% of AI projects fail to deliver business value, with 84% of those failures tied to leadership gaps, like unclear metrics, underinvestment, and unfocused sponsorship, according to research from Pertama Partners. Deploying generic machine intelligence inside legacy structures, without accounting for the real, often messy ways teams actually work, is a recipe for failure.
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