"AI transformation is going to take a lot longer than we think, because companies simply don't know where to go with it. "Every day, we get announcements about new AI models. Every day someone claims we're around the corner from [artificial general intelligence]," said the AI/data analytics guru of gurus. Real transformation requires process redesign The reality on the ground is, however, that "organizations are struggling to find measurable value"
"from generative AI," he said in a recent hosted by Paul Estes. That's because "real transformation requires process redesign -- not just new tools; enterprise-level projects -- not individual prompts; and years of persistent effort." In other words, AI is not too different from the technology waves of the past. And these lessons get learned over and over again. Simply firing up generative AI with prompts doesn't create measurable economic value."
Rumors that AI will eliminate 50% of white-collar jobs are greatly exaggerated. Leadership failures are the biggest current problem for AI adoption; leaders must temper expectations and maintain guardrails for "vibe coding," a new form of citizen development. Real AI transformation requires process redesign, enterprise-level projects, and years of persistent effort rather than isolated prompts or tools. Organizations are struggling to find measurable value from generative AI. Simple use of generative prompts does not create measurable economic value. Firms must plan for long-term redesign and workforce development to realize benefits.
Read at ZDNET
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