I am the Thomas G. Labrecque Professor of Business Technology in the Villanova School of Business at Villanova University where I teach strategic technology, AI & emerging technology. I conduct research on technology management best practices, social media, analytics, cloud computing and technology adoption.
AI-enabled automation may hold the key to solving three major problems: immigration, low fertility rates and retirements. But strangely, automation is not a planned policy solution to these and related problems. Why there were all sorts of problems with how the US federal government handled the Covid 19 pandemic,was not one of them.
“A prolonged US total fertility rate this low – specifically, a rate substantially below 2 – would lead to slower population growth, which could in turn cause slower economic growth and present fiscal challenges. While the decline presents a fairly new challenge to the United States, other high-income countries have sustained below replacement level fertility for some years now and have attempted policies to mitigate that trend.
“The demand for workers continues to be robust, with approximately two job openings available for every unemployed individual. And with more than 75 million baby boomers retiring sooner rather than later, it’s clear that employers will need a strong workforce plan for replacing exiting workers. “Do we need tax preparers? Car salespersons? Loan officers? Automation has only begun, and as more and more employees call it quits, automation may take their place faster than we think. Why wouldn’t Uber want to eliminate their biggest headache – drivers – with autonomous vehicles? Why wouldn’t all companies want to deploy ‘workers’ that work 24/7, never need vacations, never join unions and never get sick? Checkout clerks? Postal workers? Gas station attendants ? And many more.
Fertility Retirements Automation AI Birth Rates Machine Learning Pandemic Robotics Adoption
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