Some might note that businesses and consumers seem to be adopting the use of artificial intelligence chatbots faster than they have adopted the internet, smartphones, social media, e-commerce, smartphones or search.
That partly results from the fact that physical infrastructure often takes longer to deploy than a new software app; new habits have to be built and content richness also often takes time to create.
There was only so much users could do with 56 kbps internet connections, compared to broadband. Smartphones once were primarily useful to use email “on the go.” But that’s a far more limited value proposition than “internet in your pocket or purse.”
Also, content-based apps including social media or search take some time to create vast libraries of content as well as network effects that have “most of the people I care to interact with on this site.”
AI chatbots have some advantages, already. “No incremental cost” for casual use means there is not a price barrier. Also, the ability to provide “answers” in better ways than the results of search means the use case is obvious and immediate.
Also, little technical expertise is required for a person to use an AI chatbot.
And new habits can be adopted on the existing infrastructure (both network and device). That might be seen in the early adoption and mainstream use of important new technologies, where it often took a decade or more for “most people” to use the new technologies.
It might also be hard to say for certain, but perhaps there also is some significant element of business leaders' concern about failing to adopt AI quickly enough, given prior experience with earlier waves of technology.
At the moment, the concern seems most logical in content-based (video, audio, text, education and learning, consulting, research, “advice” roles) or software development roles, as AI tools seem poised to displace some amount of human activity and roles.
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