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Illustration: Lazaro Gamio/Axios
"Automation anxiety" is likely to trigger popular resistance to robotization, Carl Frey, a leading researcher on the future of work, tells Axios.
Quick take: The forecast is from the co-author of probably the most influential single paper in the current obsession with automation, a 2013 study that said AI could swallow 47% of U.S. jobs. His paper — along with the two-year-old populist movement across the West — is the primary reason for the nervousness in Washington and other western capitals over robots and AI.
We are already seeing agitation in the U.S. and Europe over the big tech companies. Now, Frey describes the visible parts of an added uprising against robotization:
What resistance may look like: In the Industrial Age, Frey said, people rioted against automation. This time will be different, he said. "Now people have political rights and can vote against automation," he said.
A prototype C919, China's foray into civilian aviation. Photo: Qilai Shen/Bloomberg/Getty
The U.S. is experiencing a revival of Japan syndrome, circa late 1970s. That's when "Made in Japan" abruptly stopped being a source of mirth, Americans began to snap up Toyotas and Nissans in big numbers, and Detroit sank into a profit-and-jobs bloodbath.
Cue Chinese Big Tech: Five years ago, American technologists sneered at China's Baidu and its new search engine. But "they aren't laughing anymore," says Gregory Allen, an AI expert at the Center for a New American Security. "Now they are marveling at Baidu's advances in artificial intelligence."
Seeking tech's commanding heights: Chinese Big Tech is one dimension of a juggernaut that's collectively terrifying the Trump administration, Silicon Valley and the western foreign policy community. It's called "Made in China 2025," Beijing's three-year old game plan for dominating the 10 biggest technologies of the future, such as AI, robotics and electric cars.
"We are right to be concerned," said Elizabeth Economy, director for Asia studies at the CFR. "Japan, Germany — anyone who has advanced sectors is concerned about the lack of a level playing field. These are the technologies of the future."
Illustration: Rebecca Zisser/Axios
The steam engine went into commercial use in 1698, but it took more than a century — until the early 1800s — before manufacturers fully adopted it as a rival to animals, water and wind as a primary source of power. Now some technologists worry that, as has happened again and again since, it could be decades before companies embrace the newest revolution — artificial intelligence.
Frey, quoted in the first post, tweets today that this is an example of Amara's law, coined by the late futurist Roy Amara, who said people tend to overestimate the impact of a new technology in the short run, but underestimate it in the long run.
What's going on: According to McKinsey, many companies are reluctant to adopt AI, fearful it's too complex and may not pay off in reasonable time. So, in a study released today, the consultancy's think tank sets out to show them how, in practical, current use-cases, AI could prove lucrative. Its authors cite 400 such cases that could be worth $3.5 trillion in value per year. Examples are:
VWs in Wolfsburg, Germany. Photo: Alexander Koerner/Getty
Trump has reverted to his rejection of the Obama administration's key policy for confronting China: the Trans-Pacific Partnership (TPP), a trade deal with 11 Pacific nations. But experts think he could soften if offered a deal involving automobiles.
The background: During his campaign, Trump called TPP a "disaster" and a "rape of our country," and withdrew from it on his third day in office. But last week, pressed by senators who said TPP would create jobs and economic growth, Trump said he might sign the pact anyway, as long as it was much improved. Then last night, he went back to his original posture, tweeting that he doesn't "like the deal for the United States."
What's going on now: Trump is at Mar-a-Lago with Shinzo Abe, the Japanese prime minister, a cornerstone signatory of TPP, who is struggling politically at home and would love to pull the U.S. back into the deal. To his advantage, U.S. trade experts are not convinced that Trump's latest reversal on TPP is necessarily the last word.
Winners and losers in a US-China trade war (Axios) (chart above)
Ant shows cashlessness is king (FT's Don Weinland and Sherry Fei Ju)
Robots to the rescue when there are no workers (NYT's Liz Alderman)
Teenagers: back in the favored labor pool (WSJ's Jennifer Levitz and Eric Morath)
Using AI to discover if your password is public (Quartz's Dave Gershgorn)
Kelp in his AI duds. Photo: University of Washington.
A group of University of Washington researchers say they have a new program that sees the world like a dog, specifically Kelp, a Malamute belonging to a member of the AI team, writes the Verge's James Vincent.
What it's all about: Machine learning requires a lot of data, so Kiana Ehsani, the lead researcher, began with 380 videos of Kelp going about his daily routine — fetching, walking, sniffing, and so on, according to the team's paper. Her aim was to discern what a program trained to think like a dog would do with that frame of reference.
Just one achievement: The program figured out how to quickly decipher where it's easy to walk, and where it's not, which otherwise would be difficult to teach a robot.
Why it matters: "This seems to be the first time anyone has ever tried learning from a dog, and the fact that it worked suggests that animals could be a useful source of training data," Vincent writes. "After all, dogs know plenty of other things that would be very useful for robots. What humans look like, for example, or the difference between an adult and a baby."