"AI is breaking the tech trend hype cycle. For decades, tech trends have followed a predictable pattern defined by the Gartner Hype Cycle: an initial surge of hype as everyone races to gain an early advantage precedes a dip when reality tempers expectations. But AI is breaking that cycle. As the foundation for all emerging technology, AI is now fundamentally reshaping innovation, with new capabilities emerging month after month."
"Technology leaders often chase the latest AI innovations, prioritizing novelty over necessity. But AI advancement is outpacing organizations' ability to apply it. Now, with unclear use cases, an unsustainable speed of innovation, and poor returns on current AI investments, executives are finding themselves in the trough of disillusionment."
"But this isn't a normal cycle, when technology fails to live up to the hype. Instead, organizations are preventing widespread success by chasing hype, not value. AI isn't overpromised. It's underutilized. The challenge isn't whether AI can deliver; it's whether organizations can harness its potential, adapt to its challenges, and embrace the possibilities it presents."
AI has become a baseline expectation for organizations, driving the need for innovation and competition. Despite accelerated AI adoption, many organizations struggle to absorb its capabilities. Leaders must rethink work processes, decision-making, and value delivery to navigate this transformation. Empowering employees, building trust in AI, and fostering a culture of experimentation are essential. AI is reshaping the tech landscape, breaking traditional hype cycles, but organizations often chase novelty over necessity, leading to disillusionment and underutilization of AI's potential.
Read at Harvard Business Review
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