Rethinking Excellence in the Smart Machine Age
Artificial intelligence will change everything. It’s coming. In some areas, it has already arrived.
Take Amazon. Its new grocery store has no cashiers and no baggers.
How about water meter readers? Just yesterday someone appeared at our door explaining that those days are over for our neighborhood.
And it’s not only these jobs that are changing. Millions of jobs will be affected from manufacturing to services.
Machines have access to more data than we do. They can analyze it faster than we can.
“We can be humble and live a good life with the aid of the machines or we can be arrogant and die.” -Norbert Wiener
Edward D. Hess is a professor of business administration at the University of Virginia Darden School of Business. In addition to fifteen years in academia, he also spent twenty years as a business executive. His research is in high performance in the midst of change.
He argues that we need to change our definition of smart. We need a new smart. We need to be good at what machines can’t do well. His new book, co-authored with Katherine Ludwig, is Humility is the New Smart: Rethinking Human Excellence in the Smart Machine Age.
I recently spoke with him about the changes ahead.
“A good listener is totally focused on the speaker with an open mind.” -Hess, Ludwig
Millions of Jobs Will be Automated
What jobs will be automated?
Over the next decade or so, tens of millions of service and professional jobs will be automated along with more manufacturing jobs. Service jobs that are at risk include retail, fast-food, manual laborers and construction workers, truck drivers, accountants, administrative people, paralegals, customer service reps, and security guards. Increasingly, professional jobs will be automated reducing the number of professional workers needed in the fields of accounting, law, finance, consulting, marketing, strategy, management, journalism, medicine and architecture. The Chief Economist of the Bank of England in November of 2015 predicted that over the next decade or two 80,000,000 jobs in the United States could be automated.