"This isn't the first time I've witnessed this overly enthusiastic, roll-the-dice approach to AI. Once again, technologists are scaring business leaders into embracing the latest technology-without any business context or strategy. The results are always the same: high resistance, early failures, disappointment, and no real return on investment. Gartner has rightfully crowned this as the "hype cycle." The AI world is now divided into fans and foes."
"The foes, meanwhile, wave a recent MIT study a s proof that the benefits of this technology are overstated. That study found only 5% of task-specific AI tools were successfully deployed in organizations-clear evidence of the challenge in specialized AI rollout. In contrast, 40% of generic generative AI tools (LLMs) succeeded, often driven by employee initiative rather than top-down directives."
Many companies pursue AI through enthusiasm and pressure rather than clear business strategy. Employees hear predictions of job loss and resist, lacking clarity about future roles. Technologists push tools without business context, causing high resistance, early failures, disappointment, and low return on investment. Gartner labels this pattern the hype cycle. AI adoption divides into evangelists who demand urgent change and skeptics who cite low deployment success for specialized tools, while generic LLMs succeed more often via employee initiative. Clear strategy, role redesign, and contextual use cases must guide adoption to realize value.
Read at Fast Company
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