Has GenAI Already Peaked?
Has generative artificial intelligence finally reached the dreaded “trough of disillusionment"?
In the past year, artificial intelligence has grown increasingly mainstream—with the potential of becoming more established as the technology furthers human productivity and innovation—and with it comes a series of studies and online conversations covering updates to the industry landscape, overall consumer sentiments surrounding its evolution, as well as assessments of its business model and investors' sense of security.
However, as Gartner's 2024 hype cycle forecast suggests, the peak of artificial intelligence's popularity has begun to dwindle as inflated expectations give way to an inevitable phase of waning interest, in part due to the frequency of failed experiments and implementations. Indeed, a seemingly increasing number of headlines and viral moments surrounding AI in recent months have struck more skeptical and sometimes even cynical tones regarding GenAI’s transformative impact, focusing on missteps and blundered results rather than enthusiastically pondering its future capabilities.
Still, AI would not be stuck in the trough (if it’s even in one) forever, as Gartner's cycle includes a set of post-disillusionment phases that will foster a renewed understanding of the technology and trigger its broad market applicability and relevance. Ultimately, though, Gartner's report is merely a prediction that does not encompass the entirety of AI activations—public perception of on-device AI, for instance, is largely positive, as experts deem it a critical component for industry dominance.
Why it matters: Any technological advancement waxes and wanes in its peak years before achieving penultimate stability within mainstream society. It should come as no surprise that artificial intelligence will undergo a similar process in the years to come, but to reiterate, predictions will never definitively inform the progress of a given technology (especially when other reports claim that AI overcame the phase of disillusionment months ago). It is important for brands to be mindful, particularly with respect to consumer reactions, that AI’s significance to propel brands forward into a future of innovation remains steadfast.
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Contributors: Head of Social Content and Engagement Strategy Cristina Lawrence, Senior Vice President Jerry Lawrence, Group Vice President Andrew McKernan, and Senior Vice President Tammy Pepito. At Razorfish, we help brands define their higher purpose—the emotional reason why they belong in people’s lives. Ready to find your purpose? Learn more here.
Principal at Miron Swyst
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