Every three months, GOOD releases our quarterly magazine, which examines a given theme through our unique lens. Recent editions have covered topics like the impending global water crisis, the future of transportation, and the amazing rebuilding of New Orleans. This quarter’s issue is about work, and we’ll be rolling out a variety of stories all month.


The middle class is disappearing and the problem is deeper than politics. How will we understand work in the coming age of robotics?

Last April, the MIT economist David Autor published a report that looked at the shifting employment landscape in America. He came to this scary conclusion: Our workforce is splitting in two. The number of high-skill, high-income jobs (think lawyers or research scientists or managers) is growing. So is the number of low-skill, low-income jobs (think food preparation or security guards). Those jobs in the middle? They’re disappearing. Autor calls it “the polarization of job opportunities.”

These days, all of us, from President Obama on down, are thinking about jobs. The unemployment rate is hovering around 10 percent, we’ve watched the ground disappear from under Detroit and Wall Street, and there’s a pervading sense that other industries might be next.

It’s not that the issue isn’t getting attention. The Princeton economist Paul Krugman is out there telling Congress to spend more money to create jobs. The former secretary of labor Robert Reich is arguing for tax breaks for the bottom brackets so people can buy stuff again. Here’s the thing, though: The erosion of the middle class is a phenomenon that’s bigger than the Great Recession. Middle-range jobs have been getting scarcer since the late 1970s, and wages for the ones that are still around have remained stagnant.

In his report, Autor says that a leading explanation for the disappearance of the middle class is “ongoing automation and off-shoring of middle-skilled ‘routine’ tasks that were formerly performed primarily by workers with moderate education (a high school diploma but less than a four-year college degree).” Routine tasks, he explains, are ones that “can be carried out successfully by either a computer executing a program or, alternatively, by a comparatively less-educated worker in a developing country.”

The culprit, in other words, is technology. The hard truth—and you don’t see it addressed in news reports—is that the middle class is disappearing in large part because technology is rendering middle-class skills obsolete.

People say America doesn’t make anything anymore, but that’s not true. With the exception of a few short lapses, manufacturing output has been on the rise since the 1980s. What is true is that industrial robots have been carrying ever more of the manufacturing burden on their steely shoulders since they appeared in the 1950s. Today, a Japanese company called Fanuc, Ltd., has industrial robots making other industrial robots in a “lights out” factory. (That’s the somewhat unsettling term for a fully automated production facility where you don’t need lights because you don’t need humans.) That’s where we’re headed.

It’s not just manufacturing, either. Automated call centers are replacing customer-service agents. Automated checkout stations are replacing grocery-store clerks. When the science of computer vision advances sufficiently, we’ll have algorithms, not humans, evaluating X-rays at airport security checkpoints and screening user-generated content for sites like Facebook.

Robots have been carrying ever more of the manufacturing burden on their steely shoulders.

Meanwhile, personal robotics, the kind we’ve been promised by science fiction, are getting closer to reality. Researchers at a Silicon Valley–based company called Willow Garage have been teaching their PR2 robot to fold laundry, play pool, and fetch beers for its engineers (you can see it in action on YouTube). The PR2 isn’t ready for the commercial market, but it’s closer than you think. Willow Garage has made the code for the PR2’s operating system entirely open, which means scientists and hobbyists all over the world can contribute to its development, and it recently started selling PR2 models for $400,000 each.

Keenan Wyrobek, a codirector of the Personal Robotics Program at Willow Garage, told me that the company’s robots might soon be able to help our aging population stay independent for a few extra years by doing simple tasks around the house. That would be great, but it would reduce the number of nurses and assisted-living attendants we would otherwise need.

Economists will remind you that new technologies create new jobs as they destroy old ones. That’s true. When you have robots, you need robotics engineers. But those aren’t going to be mid-range jobs.

On the low end of the spectrum, we have physical jobs that we can’t automate yet (yard work, for example). On the high end of the spectrum, we have creative and cognitive jobs that we can’t automate yet (law and management, for example). But as technology advances, and it certainly will, more people are going to be elbowed out of the workforce.

We may be heading toward a future with plentiful high-end jobs and plentiful low-end jobs, and not much in the middle. What if only doctors, lawyers, engineers, and managers can live a decent life, buy a house or apartment, and pay for their children to get specialized degrees? What if a liberal-arts degree on its own prepares you for little more than work as a security guard? What if the skills that prepare one for a job with decent pay get increasingly hard to attain?

Addressing this challenge requires a response more profound than tweaking the tax code or extending unemployment benefits. But it also provides us with an exciting opportunity.

If this polarization continues, a whole cohort of people who expected to be middle class—or at least financially stable—might find themselves living a very different reality. Then they might start asking questions about why they are in that position. If it gets increasingly hard to pretend that the average liberal-arts degree prepares a student for a decent job, there may be broader support for a sober assessment of our education system, and the reforms it needs. If the skills and talents that are truly financially rewarding become harder and harder to acquire, people who would never consider themselves students of Marx might start questioning whether, given the circumstances, it still makes sense to pay people based solely on the demand for their skills in a marketplace that would be demanding very few skills.

If market forces and increased automation leave the average person without any prospects for a decent job, we may have the chance—or perhaps even the moral obligation—to recast the opportunity to do meaningful work not merely as a privilege, but as something everyone deserves.

Illustrations by Jennifer Daniel

  • Man’s dog suddenly becomes protective of his wife, Internet clocks the reason right away
    Dogs have impressive observational powers.Photo credit: Canva

    Reddit user Girlfriendhatesmefor’s three-year-old pitbull, Otis, had recently become overprotective of his wife. So he asked the online community if they knew what might be wrong with the dog.

    “A week or two ago, my wife got some sort of stomach bug,” the Reddit user wrote under the subreddit /r/dogs. “She was really nauseous and ill for about a week. Otis is very in tune with her emotions (we once got in a fight and she was upset, I swear he was staring daggers at me lol) and during this time didn’t even want to leave her to go on walks. We thought it was adorable!”

    His wife soon felt better, butthe dog’s behavior didn’t change.

    pregnancy signs, dogs and pregnancy, pitbull behavior, pet intuition, dog overprotection, Reddit stories, viral Reddit, dog instincts, canine emotions, dog owner tips
    Otis knew before they did. Canva

    Girlfriendhatesmefor began to fear that Otis’ behavior may be an early sign of an aggression issue or an indication that the dog was hurt or sick.

    So he threw a question out to fellow Reddit users: “Has anyone else’s dog suddenly developed attachment/aggression issues? Any and all advice appreciated, even if it’s that we’re being paranoid!”

    The most popular response to his thread was by ZZBC.

    Any chance your wife is pregnant?

    ZZBC | Reddit

    The potential news hit Girlfriendhatesmefor like a ton of bricks. A few days later, Girlfriendhatesmefor posted an update and ZZBC was right!

    “The wifey is pregnant!” the father-to-be wrote. “Otis is still being overprotective but it all makes sense now! Thanks for all the advice and kind words! Sorry for the delayed reply, I didn’t check back until just now!”

    Redditors responded with similar experiences.

    Anecdotal I know but I swear my dog knew I was pregnant before I was. He was super clingy (more than normal) and was always resting his head on my belly.

    realityisworse | Reddit

    So why do dogs get overprotective when someone is pregnant?

    Jeff Werber, PhD, president and chief veterinarian of the Century Veterinary Group in Los Angeles, told Health.com that “dogs can also smell the hormonal changes going on in a woman’s body at that time.” He added the dog may “not understand that this new scent of your skin and breath is caused by a developing baby, but they will know that something is different with you—which might cause them to be more curious or attentive.”

    The big lesson here is to listen to your pets and to ask questions when their behavior abruptly changes. They may be trying to tell you something, and the news may be life-changing.

    This article originally appeared last year.

  • Throughout history, women have stood up and fought to break down barriers imposed on them from stereotypes and societal expectations. The trailblazers in these photos made history and redefined what a woman could be. In doing so, they paved the way for future generations to stand up and continue to fight for equality.

  • ,

    Why mass shootings spawn conspiracy theories

    Mass shootings and conspiracy theories have a long history.

    While conspiracy theories are not limited to any topic, there is one type of event that seems particularly likely to spark them: mass shootings, typically defined as attacks in which a shooter kills at least four other people.

    When one person kills many others in a single incident, particularly when it seems random, people naturally seek out answers for why the tragedy happened. After all, if a mass shooting is random, anyone can be a target.

    Pointing to some nefarious plan by a powerful group – such as the government – can be more comforting than the idea that the attack was the result of a disturbed or mentally ill individual who obtained a firearm legally.


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