Read the excerpt from Amit’s essay.In the mid-2010s, it was predicted that by 2020, self-driving cars would be prevalent on the nation’s highways. Automotive manufacturers agreed, proclaiming that they would have cars driven by AI—artificial intelligence—by the early 2020s. However, this proved to be a failed forecast. By 2021, self-driving cars were not even out of testing phases. What led to this massive miscalculation? After all, the technology existed to make self-driving vacuums, so why not cars? It should have been easy for engineers to take the parts from one self-driving machine and put them into another.
Amit compares self-driving vacuums with self-driving cars and assumes that because the technology works in one, adapting it to the other should be easy. But the two machines operate in very different environments and face very different challenges, so the comparison does not support the conclusion. This is a faulty analogy.
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