Has AI reached the  the "Peak of Inflated Expectations" in its Hype Cycle?  Gartner, who's Hype Cycle tracks the maturity of various technologies throughout their lifecycles. The cycle involves five stages: Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity.
- Gartner added generative AI to its Hype Cycle for Emerging Technologies for 2023, forecasting "transformational benefit" in the next 2 to 5 years.
- As per the cycle, current expectations for generative AI are at their peak, but they could soon drop off as excitement fades and it enters the Trough of Disillusionment.
- Gartner believes generative AI will reach the Plateau of Productivity in the next two to five years.
- Other tech expected to reach productivity in that time include AI-augmented, causal AI, and others.

Has AI reached the  the "Peak of Inflated Expectations" in its Hype Cycle?  Gartner, who's Hype Cycle tracks the maturity of various technologies throughout their lifecycles. The cycle involves five stages: Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity. - Gartner added generative AI to its Hype Cycle for Emerging Technologies for 2023, forecasting "transformational benefit" in the next 2 to 5 years. - As per the cycle, current expectations for generative AI are at their peak, but they could soon drop off as excitement fades and it enters the Trough of Disillusionment. - Gartner believes generative AI will reach the Plateau of Productivity in the next two to five years. - Other tech expected to reach productivity in that time include AI-augmented, causal AI, and others.

Sam Mendoza

But About That #Artificial Intelligence Bubble…
I cannot remember the last time I had a lengthy conversation with anyone important in tech that didn’t involve AI. It’s the industry’s preeminent preoccupation. 
Yet Pew Research is out with some eyebrow-raising poll results. In a survey of white-collar Americans, more than half said they rarely or never use an AI chatbot at work and just 9% said they use one daily. Nearly a third of the respondents said they had never even heard of a chatbot. 
Both of those figures astounded me and left me puzzling on what Pew’s study suggests: It may be a marker that AI has an enormous market still to conquer. It could just as easily be a warning sign that Silicon Valley has vastly overestimated how much America wants AI. Or needs it.

https://www.pewresearch.org/social-trends/2025/02/25/workers-experience-with-ai-chatbots-in-their-jobs/?utm_campaign=article_email&utm_content=article-14609&utm_medium=email&utm_source=sg

 #Data is beautiful

Artificial Intelligence

Data is beautiful

But About That #Artificial Intelligence Bubble… I cannot remember the last time I had a lengthy conversation with anyone important in tech that didn’t involve AI. It’s the industry’s preeminent preoccupation.  Yet Pew Research is out with some eyebrow-raising poll results. In a survey of white-collar Americans, more than half said they rarely or never use an AI chatbot at work and just 9% said they use one daily. Nearly a third of the respondents said they had never even heard of a chatbot.  Both of those figures astounded me and left me puzzling on what Pew’s study suggests: It may be a marker that AI has an enormous market still to conquer. It could just as easily be a warning sign that Silicon Valley has vastly overestimated how much America wants AI. Or needs it.  https://www.pewresearch.org/social-trends/2025/02/25/workers-experience-with-ai-chatbots-in-their-jobs/?utm_campaign=article_email&utm_content=article-14609&utm_medium=email&utm_source=sg   #Data is beautiful

A majority of workers rarely or never use AI chatbots like ChatGPT, Gemini or Copilot at work.

3. Workers’ experience with AI chatbots in their jobs

Bobby

A report from Washington State University suggests that AI may be losing favor among consumers, negatively impacting sales. Despite the widespread use of AI, there’s growing disillusionment, with people becoming tired of AI features. The article argues that while AI has useful applications, it’s currently in a bubble phase and risks being overhyped. Companies overly focused on AI might struggle as consumers shift focus from AI as a novelty to seeking intelligent, seamless integration in products. AI must be subtle and functional to regain favor.

https://andrewzuo.com/ai-has-already-peaked-d6b67d9985b6

A report from Washington State University suggests that AI may be losing favor among consumers, negatively impacting sales. Despite the widespread use of AI, there’s growing disillusionment, with people becoming tired of AI features. The article argues that while AI has useful applications, it’s currently in a bubble phase and risks being overhyped. Companies overly focused on AI might struggle as consumers shift focus from AI as a novelty to seeking intelligent, seamless integration in products. AI must be subtle and functional to regain favor.  https://andrewzuo.com/ai-has-already-peaked-d6b67d9985b6

AI kills sales say Washington State University researchers. And I was quite surprised by this new report because I love AI. AI is…

AI Has Already Peaked

Jerome Cody

Is all the (often premature) #Artificial Intelligence hype causing a  aversive response from consumers?  Is it ironically making products with more human touch, hand-made, etc emotional trust more attractive instead?  

In the long-run, which angle do you think will be more effective in #Marketing & Growth ?

https://news.wsu.edu/press-release/2024/07/30/using-the-term-artificial-intelligence-in-product-descriptions-reduces-purchase-intentions/

Marketing & Growth

Is all the (often premature) #Artificial Intelligence hype causing a  aversive response from consumers?  Is it ironically making products with more human touch, hand-made, etc emotional trust more attractive instead?    In the long-run, which angle do you think will be more effective in #Marketing & Growth ?  https://news.wsu.edu/press-release/2024/07/30/using-the-term-artificial-intelligence-in-product-descriptions-reduces-purchase-intentions/

Companies may unintentionally hurt their sales by including the words “artificial intelligence” when describing their offerings that use the technology, according to a study led by WSU researchers.

Using the term ‘artificial intelligence’ in product descriptions reduces purchase intentions

Are we living through an AI bubble? The prominent hedge fund Elliott Management raised eyebrows earlier this week when it told clients that big technology stocks, including Nvidia, are in “bubble land,” the Financial Times reported. Elliott expressed skepticism that demand for Nvidia’s powerful chips would persist, and described AI in general as “overhyped with many applications not ready for prime time.”

https://www.ft.com/content/24a12be1-a973-4efe-ab4f-b981aee0cd0b?ref=platformer.news

Are we living through an AI bubble? The prominent hedge fund Elliott Management raised eyebrows earlier this week when it told clients that big technology stocks, including Nvidia, are in “bubble land,” the Financial Times reported. Elliott expressed skepticism that demand for Nvidia’s powerful chips would persist, and described AI in general as “overhyped with many applications not ready for prime time.”  https://www.ft.com/content/24a12be1-a973-4efe-ab4f-b981aee0cd0b?ref=platformer.news

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Hype Cycle for #Artificial Intelligence in 2024

Some areas that might be relatively less well-known:

Edge AI: AI processing that happens directly on devices (like smartphones or smart home devices) instead of in the cloud.

AI Engineering: The practice of designing, building, and maintaining AI systems, similar to software engineering.

AI TRiSM: A framework for responsible AI development, standing for Transparency, Risk management, Innovation, Safety, and Management.

Sovereign AI: AI systems that are designed to operate independently, making decisions without human oversight.

Composite AI: AI systems that combine different AI technologies (like machine learning and rule-based systems) to achieve more complex tasks.

The full report is lengthy, but an interesting read. 

Compared to last year's Hype Cycle , AI engineering and knowledge graphs have emerged as the biggest movers.

These areas are crucial for robust and reliable AI solutions, especially as enterprises scale up. AI engineering enables better team collaboration, while knowledge graphs offer a dependable alternative to deep-learning techniques.

I am also interested in is Embodied AI, which has been a major topic at AI conferences in 2024. The prediction is that it will reach the plateau in 2-5 years, promising a future where AI is more integrated into our daily lives.

As a user, I'm excited, but I also curious about how to process the effective regulation and risk management for responsible AI development, which is not a given yet.

What do you think? Which area interests you the most?
#Data is beautiful

Hype Cycle for #Artificial Intelligence in 2024  Some areas that might be relatively less well-known:  Edge AI: AI processing that happens directly on devices (like smartphones or smart home devices) instead of in the cloud.  AI Engineering: The practice of designing, building, and maintaining AI systems, similar to software engineering.  AI TRiSM: A framework for responsible AI development, standing for Transparency, Risk management, Innovation, Safety, and Management.  Sovereign AI: AI systems that are designed to operate independently, making decisions without human oversight.  Composite AI: AI systems that combine different AI technologies (like machine learning and rule-based systems) to achieve more complex tasks.  The full report is lengthy, but an interesting read.   Compared to last year's Hype Cycle , AI engineering and knowledge graphs have emerged as the biggest movers.  These areas are crucial for robust and reliable AI solutions, especially as enterprises scale up. AI engineering enables better team collaboration, while knowledge graphs offer a dependable alternative to deep-learning techniques.  I am also interested in is Embodied AI, which has been a major topic at AI conferences in 2024. The prediction is that it will reach the plateau in 2-5 years, promising a future where AI is more integrated into our daily lives.  As a user, I'm excited, but I also curious about how to process the effective regulation and risk management for responsible AI development, which is not a given yet.  What do you think? Which area interests you the most? #Data is beautiful

Sam Mendoza

A group of likeminded people in Artificial Intelligence are talking about this.