"The enterprise world is awash in AI optimism. Boardrooms buzz with talk of transformation, and budgets swell to accommodate the latest platforms and AI assistants. Today, nearly three-quarters of companies report using generative AI regularly in a core business activity, according to recent McKinsey & Company research. But if you look past the headlines, a familiar pattern has emerged that reminds me of the dot-com era, when companies rebranded overnight, and investors chased the next big thing,"
"Today, talk of an AI bubble isn't just a matter of market speculation or start-up hype. It's unfolding inside organizations, where the pressure to "do something with AI" drives rapid procurement and internal investment. The fear of missing out (FOMO) is palpable. Leaders, wary of being left behind, greenlight projects that promise automation, insight, and competitive advantage. But here's the sobering reality: Most AI initiatives fail to deliver meaningful results,"
Enterprise adoption of AI is widespread and driven by optimism, boardroom pressure, and rising budgets. Many companies report regular use of generative AI in core activities, yet numerous initiatives do not produce measurable returns. Common failures include building bespoke solutions that become commoditized, buying platforms that require costly customization, and granting AI agents broad permissions that create security backlash. A potential bubble could be driven by a flood of projects without clear revenue, productivity, or cost-saving outcomes. Continued investment in AI is not futile, but organizations must adopt more pragmatic, use-case-driven approaches.
Read at Fast Company
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