Author: Florian Ivan, PMP, ACP, DAC, DASSM 
In any new technology or innovation, it is challenging to pinpoint exactly where you are in its development cycle, or to predict its ultimate impact on the world. This is particularly true for AI today. While it is clear that AI is transformative, it cannot be definitively stated how big its impact will be, or how it will reshape industries and society in the long run. The uncertainty surrounding the future of AI mirrors the unpredictability inherent in all major technological advancements.
The Gartner Hype Cycle is a graphical representation used to illustrate the maturity, adoption, and social application of emerging technologies. It follows a curve that starts with a "Technology Trigger", leading to a "Peak of Inflated Expectations", followed by a "Trough of Disillusionment". As understanding improves, it moves to the "Slope of Enlightenment", and eventually reaches the "Plateau of Productivity", where the technology becomes mainstream.
This model helps organisations manage their expectations and plan for technology adoption. The Gartner Hype Cycle is a straightforward tool in understanding technological innovation, though it is often considered controversial due to its generalised and sometimes subjective nature.
AI today is moving past the "Peak of Inflated Expectations" and entering a the "Trough of Disillusionment", wherein promises are giving way to a more realistic understanding of its capabilities and limitations. As the hype settles, it is now the critical period during which businesses should focus on practical applications that would deliver real value. By leveraging AI in real-world situations, organisations can drive meaningful business impact, and harness the technology's true potential.
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