"It's moving from one skill that people were bad at anyway and shifting to what they're good at," Upadhyay explained. After all, marketers tend to be creative -- "in cases like this, the machine is actually freeing people to do what they love."
That's a pattern Upadhyay expects to see repeated.
"My belief is that machines will do some things better, and we'll continue to do other things much better," he said.
Humans tend to have very poor intuition where small numbers are involved, for example, so that's an area in which technology will likely reign supreme.
"If I tell you that there's a 75 percent chance it's going to rain versus a 25 percent chance, you know what that means," he explained. "You'll bring an umbrella."
Forced to compare a 0.1 percent chance someone will buy a product versus a 0.4 percent chance, however, humans have a hard time -- machines can do much better.
Advertising conversion rates are a perfect example, he said.
Machines also tend to excel any time having lots data is an advantage, but -- conversely -- humans shine when sample sizes are small.
"Say you're a rep with only 20 accounts, but you need a lot of detail about those people," Upadhyay explained. "There's no question humans will outperform machines in those cases."
Part of the reason for that is that human interactions tend to be based around stories, and while machines are great with lots of data points, "we still don't have machines that understand stories," he added.
Accordingly, things that have usually been the domain of the humanities and social studies will remain dominated by people, he predicted.
Ultimately, any technology is essentially amoral, so it's all a matter of how people use it, Upadhyay said. What's important is that those uses are thoughtfully discussed.
The use of robots in wars is one that needs particularly close attention, he added.
But with the likes of Stephen Hawking and Elon Musk already weighing in on AI, "I'm optimistic, because this topic has the attention of all the right people," Upadhyay said.
Still feeling anxious about it all? Upadhyay recommends learning more.
"Most of what's called machine learning today works on ideas that you can explain to a 10-year-old," he said.
Skills in basic programming and statistics can make a lot of it less mysterious and less scary, he added.
"Just knowing a bit about how these things work will go a long way toward helping you understand that this trend is not something to be scared of," Upadhyay said. "Humanity has a lot of things to be proud of -- being 'Go' champion doesn't need to be one of them."
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