Pyramid Replacement
Putting together percentages for the two types of automatability—38 percent from one-to-one replacements and about 10 percent from ground-up disruption—we are faced with a monumental challenge. Within ten to twenty years, I estimate we will be technically capable of automating 40 to 50 percent of jobs in the United States. For employees who are not
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
When it comes to job replacement, AI’s biases don’t fit the traditional one-dimensional metric of low-skill versus high-skill labor. Instead, AI creates a mixed bag of winners and losers depending on the particular content of job tasks performed. While AI has far surpassed humans at narrow tasks that can be optimized based on data, it remains stubb
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
The MIT economist David Autor has shown that instead of inequality rising across the board, there are actually two different effects: inequality rising at the top and lowering at the bottom.2 This matches Cowen’s thesis of average being over, with the middle part of the income spectrum being compressed into the bottom and stretched out at the top.
... See moreScott Young • Ultralearning: Master Hard Skills, Outsmart the Competition, and Accelerate Your Career
not everyone who studies AI’s impact is so bullish. With generative AI poised to automate an increasing number of business activities—as much as 70 percent , according to McKinsey—critics worry there simply won’t be enough work left over for most workers to do. For the first time in history, the argument goes, technology’s substituting force will o
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