Can AI kill MBA jobs even if MBA is done from Ivy league universities? What should one pursue AI/ML from IIT or MBA from IIM in terms of better opportunities/wealth and career growth/duration?

Meanwhile computer engineering still remains relevant because electronics, discrete math, core programming, oop, algorithms & data structures still form the basis of modern day computing

AI can't do that

So pursuing an AI/ML full time degree is likely to be a major problem given the pace at which the field is changing

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Open ended question mate

Can AI kill MBA Jobs?

AI may be able to perform HR functions but even those have a human element that is missing

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At the best, AI can succeed in elimination of intermediate services

Human beings can sell, imagine and conceive what entices other human beings

Much better to finish a core discipline like computer engineering or computing and then get trained on AI and ML with a particular organization

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AI can't predict markets any better or worse than an algorithm with adequate design parameters

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By the time you finish school, is it not probable that whatever you learnt in school could be completely redundant?

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It is still a man proposes AI disposes model when you think of it

In my day, they offered a course called information technology in college that taught stuff like html,xml, javascript and query languages and database integration

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On this day, certainly not

No timeline

That's not a model that is too much of a threat to the modern world

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Models are rendered obselete and each version has a shelf life measured in weeks or months at the most, so doing a three or four year degree in such a discipline, to me is a waste of time

How can one pursue a degree in AI when the rules are still being written every day and changing every day?

By the time of graduation, half the stuff learnt became obsolete and the degree had lesser value than a commerce graduate who had relevant oracle or other certifications

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In the future, this could change but today's models are trained to gather as much data as possible and churn out as much meaningful information as it can