Many people will be forced to change careers. Others may face difficulties in finding work. Manufacturing, clerical work, service, and transportation are among the industries most vulnerable to job shortages.
However, not all experts believe this will be the case. In fact, some believe that artificial intelligence will have the opposite effect. They claim that it will create more jobs than it will eliminate. To back this up, they cite technology's long history of job creation.
After all, something similar happened just a few decades ago. What exactly are we discussing? Of course, the Internet! Many of the jobs available today did not exist prior to the Internet. Consider the employees of Google, Amazon, and Facebook. None of those businesses would exist without the Internet. And, come to think of it, neither does Wonderopolis! As you can see, people are frequently unable to predict the new jobs that technology will create.
Over the next ten to fifteen years, GDP will increase by trillions of dollars. AI captures the imagination with visions of driverless cars and pilotless planes, as well as intelligence that is not only artificial but increasingly alternative: machines imbued with so much human capacity that they can think for themselves—and, while we aren't looking—for us. Currently, and more realistically, chatbots are beginning to exhibit more of the much-touted "human-like" qualities, performing more complex tasks and roles, aided by chatbot analytics such as those emitted by Google's Area 120 incubation creation, Chatbase.
However, much of the value AI is delivering today is far from the dare-I-say-sexy AI activities described above. No, the majority of the buzz revolves around AI (or machine learning, deep learning, or cognitive) systems working behind the scenes, crunching, say, every tweet on Twitter and triangulating that against weather and a plethora of other data points to provide corporations with analytic insights to inform and power their product and service offerings. That is just one of the many things IBM Watson is working on. One Wall Street firm is saving millions of dollars annually by using AI to scan and interpret its massive internal knowledgebase to instantly select optimal investment options for clients, plus the documents and forms its team needs to put those investment choices into action. Sentieo’s AI-driven solutions analyze millions of SEC filings, transcripts, and presentations to find crucial information on any ticker and retrieve all mentions of key information in seconds. AI is hard at work at Airbnb, Amazon, Facebook, Google, Netflix, Pandora, Spotify, Tesla, and Uber; at Bristol Myers Squibb; in the large and growing stable of Slackbots; and in countless other places, accessing and triangulating breathtaking amounts of data and spitting out instant recommendations or reservations.
Those final points are critical. A structural shift is taking place. AI cuts through the clutter to provide you with specific recommendations tailored to you as the seeker of knowledge—or simply as the seeker of where to find the best Chicago-style pizza while away from home on a business trip. (Which is not to say, at least not in print, that indulging in such a cheesy, guilty pleasure has not supplemented my normal whole-foods, plant-based, no-meat-or-dairy nutrition. I only present it as an example.) The key concept is that AI-powered systems present either the single best solution or a narrow list of best-fit solutions.
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