It looks like the trend-hoppers are finally ditching WEB3 and moving towards, perhaps, more important things like AI, ML, and computer vision technologies.

The new artificial-intelligence technologies that are creating a lot of buzz for spewing out text, graphics, and computer code are also causing speculation about the next technological bubble.

Notwithstanding the technology’s obvious shortcomings, technologists generally believe that the so-called creative AI that underpins platforms like ChatGPT seems to have the possibility of changing how we live and work. But, some investors, CEOs, and engineers detect symptoms of froth that recall them of the previous crypto bubble.

Even IT professionals who were not laid off in the current round of cutbacks in Silicon Valley are getting on the AI bandwagon. Among them are survivors of the most current tech-industry bubble to burst: the cryptocurrency frenzy.
Several AI veterans are concerned that “artificial intelligence” may become just another hollow tech jargon.

Of course, the same entrepreneurs and inventors in the AI sector who raise these worries believed in their own AI technology and any use of AI that they believe has a real-world impact. Despite the risks of AI being another hype-fueled bubble, it’s clear that the transfer of talent and capital from big giants, dead-end Web3 companies, and SPAC-fueled leaps of fancy might be just what the tech sector needs.

There’s every reason for entrepreneurs to incorporate AI into their presentations, given that the subject is a rare bright light in an otherwise bleak fundraising market for IT firms. According to Crunchbase, investors put $2.6 billion into 110 creative AI-focused firms in the United States last year. According to Matt Moberg, senior vice president of Franklin Templeton Securities, this year appears to be comparable. Several investors that are interested in AI are afraid that the high level of interest would result in the formation of numerous low-quality firms.

Founders and workers are reacting to investment opportunities, which creates bubbles as frequently as it follows trends. According to Mr. Waber of Humanyze, despite hiring restrictions in other areas of technology, many of his clients at major organizations are persisting to recruit individuals with data science abilities, which are critical to acquiring and processing the data supplied into AI models.

Yet, like with previous technological upheavals, many people will certainly transfer into occupations that do not yet exist but are made possible by this technological advances. According to Ms. Kimmel, one such career is “prompt engineer.” This is the individual who feeds text into a generative AI to have it generate a picture, additional text, or any other type of material.