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13. Meter Readers
Working with the electric company as a meter reader is a job that had pretty good advantages. While it might have been a bit taxing during colder months in areas with frigid temperatures and large amounts of snowfall, the advantage of having a steady paying job with good benefits outweighed whatever amount of walking and cold temperatures you’d have to endure. Yet, energy companies are starting to implement computer technology into their meters, which is cutting out the need for meter readers. ComEd already features a SmartReader that uses state-of-the-art cryptographic technologies to eliminate the need for an actual human being to read the gauges. Instead, the meter transmits the information digitally, and there are also some energy efficient factors that make it even more desirable for customers. Things like calculating the best times that will ensure savings and sending the information to customer’s smartphones is just one way these SmartReaders are becoming the new norm. By the year 2030, there will be absolutely no need to have a meter reader worker going around to each individual house to jot down the numbers.
12. Insurance Underwriter
The insurance industry is often overlooked when it comes to lucrative positions that earn real money. Yet, it’s actually a profession that has huge returns and can provide a more than comfortable lifestyle. A great example is Vicki Gunvalson, one of the original cast members on The Real Housewives of Orange County, that started off selling insurance from her home and has transformed into a multimillionaire with a huge insurance business. Yet, her staff may be sized down considerably by the year 2030. The role of an insurance underwriter is to help price insurance policies and evaluate risk throughout the life of a policy. Yet, there are supercomputers that are already being introduced to make this position obsolete. IBM’s Watson is a supercomputer that can actually “learn” through the data it processes. It can analyze without human error, research in-depth without ever tiring, and process information without becoming emotionally compromised. Why would an insurance company need to hire and pay salaries for underwriters when they could have a more cost effective supercomputer that could do the job with the utmost clarity?
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