Here are 2 videos on this topic, based on this recent piece by The Atlantic: “Three Ways to Think About AI and Jobs.” Whether automation will make human workers obsolete depends on more than just how smart the AI is, writes Rogé Karma. According to MIT economists David Autor and Neil Thompson, the divergence between occupations that thrive under automation and those that don’t comes down to the interplay between technology and expertise.

“Take accounting clerks: computers took over their least-skilled tasks – recording transactions, running manual calculations – freeing them for more complex work like explaining budget overruns or tracking down discrepancies between a company’s books and its bank account. That shift turned the accounting clerk’s job from a middle-class role into a smaller, more specialized one. Inventory clerks saw the opposite happen. Computers took over their single most valuable skill  – an encyclopedic knowledge of a warehouse’s physical stock; leaving them with simpler tasks like scanning barcodes and restocking shelves. That change pushed the inventory clerk’s role from a solid middle-class job into a lower-paid position open to a far larger pool of workers”

In a recent paper, Autor and Thompson find this pattern holds across more than 300 occupations over the past four decades. Autor put it simply: it’s almost never a straightforward race between humans and machines that machines simply win.

What matters for a given profession is whether technology enhances a worker’s expertise or commodifies that expertise.— David Autor, MIT economist


Gerd Leonhard, For the Human Future

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