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We are a process driven firm. Through deep understanding of local cultures and behaviors as well as global corporate values, we´ve developed the ability to design tailored services based on the specific needs of each of our customers.
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When most people think of the connection between technology and jobs, they think of robots and automation taking over relatively unskilled jobs like factory work. And thus, the biggest toll from these technological advances would be on already hard-hit manufacturing regions of the Rust Belt. But a new wave of developments in artificial intelligence may have a greater effect on high-skilled jobs and high-tech knowledge regions.
That’s the key takeaway from a new study out today from the Brookings Institution. The study by Mark Muro, Jacob Whiton, and Robert Maxim takes a close look at the potential of artificial intelligence—or AI—to automate tasks that until now have required human intelligence and decision-making. As they put it: “Unlike robotics (associated with the factory floor) and computers (associated with routine office activities), AI has a distinctly white-collar bent.”
The Brookings study bases its analysis on a set of “exposure scores,” developed by Michael Webb, a doctoral student at Stanford University, which essentially gauge the potential effects of AI on different jobs. In fact, Webb uses AI to study AI, using machine learning to search all U.S. patents to identify the capabilities of AI, and to connect that data to jobs and tasks that could be taken over by AI technology—tasks like certain medical diagnoses that doctors perform today. Brookings, in turn, uses those scores to assess how AI will affect occupations and places. In doing that, Brookings’ analysis quantifies degree of potential exposure but not whether it will be positive or negative.
AI is likely to hit hardest at a combination of leading tech hubs and older manufacturing regions.
What does the Brookings study find? First, while A.I. will likely affect a wide array of work and jobs, its largest effects will be confined to a much smaller segment of jobs. Overall, AI will, in some way, influence more than 95 percent of jobs. As the study notes: “Fully 740 out of the 769 occupational descriptions Michael Webb analyzed contain a capability pair match with AI patent language, meaning at least one or more of its tasks could potentially be exposed to, complemented by, or completed by AI.”
What does the Brookings study find? First, while A.I. will likely affect a wide array of work and jobs, its largest effects will be confined to a much smaller segment of jobs. Overall, AI will, in some way, influence more than 95 percent of jobs. As the study notes: “Fully 740 out of the 769 occupational descriptions Michael Webb analyzed contain a capability pair match with AI patent language, meaning at least one or more of its tasks could potentially be exposed to, complemented by, or completed by AI.”
But, as the chart below shows, less than a fifth (just under 18 percent) of U.S. jobs, 25 million or so, are threatened by high exposure to AI. Roughly a third (34 percent or 48 million jobs) face a medium level of exposure; and a little fewer than half (48 percent or 67 million jobs) face low or no exposure to AI.
