AI is becoming more familiar with students from business schools in the US as the tech industry continues to push the technology into commerce, according to The Wall Street Journal.

According to the report, courses dedicated to AI and generated content are part of business administration and undergraduate courses to teach young entrepreneurs to use AI as their "second brain."

The apparent cause is preparing future industry leaders to gain better leverage on the AI boom with positions like text mining, predictive analytics, and AI-powered marketing.

Students are also being encouraged to integrate chatbots and generative AIs into their studies.

The report coincides with an earlier study from the Pew Research Center noting that at least 23% of the US population is starting to use chatbots more often now, up from the 18% acceptance in July 2023.

AI use is noticeably more common in adults currently or have finished higher education, particularly in postgraduate studies at 37%.

Also Read: AIs are Blocking People from Job Applications in More Ways Than One

AI Feared to Impact More Jobs in the Future

The shift towards more AI-oriented jobs even in academic institutions signals ongoing concerns about the technology impacting more roles in the world.

The International Monetary Fund earlier reported that at least 40% of the total jobs all over the world could be "exposed" to the AI change as the technology becomes more prioritized by companies jumping into the trend.

The impact is much higher in developed countries like the US and the United Kingdom where most development and distribution of AI is being made. The IMF predicted that over 60% of the jobs could be impacted.

AI Integration Remains an Expensive Venture

Despite the touting of tech leaders that AI will soon take over operations to boost profits, the current situation remains far from the promise.

A recent study from the Massachusetts Institute of Technology indicates that the integration of AI into more roles is far more costly than just hiring regular workers.

AI, as it is now, remains vulnerable to making mistakes a human employee could not do. Developing the technology and constantly improving it also hinder AI from being fully sustainable for businesses serving a large number of customers.

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