"In the 1990s, Gartner analyst Jackie Fenn noticed a pattern: New technologies would emerge, get hyped up beyond any realistic expectation, go through a period of disillusionment and disappointment, and only later gain traction and become productive. Gartner dubbed this phenomenon the 'Hype Cycle.'"
"Today, we are either at or near the peak of inflated expectations. Roughly $350 billion was invested in AI last year, and that's set to double this year. At the same time, the evidence that these investments are resulting in significant productivity gains is mixed at best."
"We still have pilots, of course, but they don't actually fly planes anymore. They manage the systems that fly the planes. Today, we're at a similar juncture. Wall Street analysts estimate that investment in AI will approach $700 billion this year."
Artificial intelligence is experiencing explosive growth with nearly 90% of businesses adopting AI and investment approaching $700 billion annually. However, this mirrors Gartner's historical hype cycle pattern where new technologies generate unrealistic expectations before eventual productive implementation. ChatGPT's 2023 launch triggered widespread AI enthusiasm and investment doubling to $350 billion last year. Currently, the market appears at or near peak inflated expectations. Despite massive capital deployment, evidence of significant productivity gains remains mixed. The analogy to pilots transitioning from manual to automated controls illustrates how AI collaboration will reshape work, but the current investment surge reflects speculative enthusiasm rather than proven value delivery.
Read at Fast Company
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