Robot Workers' Real Draw: Reducing Dependence on Human Workers
HughPickens.com writes: Zeynep Tufekci writes in an op-ed at the NY Times that machines are getting better than humans at figuring out who to hire, who's in a mood to pay a little more for that sweater, and who needs a coupon to nudge them toward a sale. It turns out most of what we think of as expertise, knowledge and intuition is being deconstructed and recreated as an algorithmic competency, fueled by big data. "Machines aren't used because they perform some tasks that much better than humans, but because, in many cases, they do a "good enough" job while also being cheaper, more predictable and easier to control than quirky, pesky humans," writes Tufekci. "Technology in the workplace is as much about power and control as it is about productivity and efficiency."
According to Tufekci technology is being used in many workplaces: to reduce the power of humans, and employers' dependency on them, whether by replacing, displacing or surveilling them. Optimists insist that we've been here before, during the Industrial Revolution, when machinery replaced manual labor, and all we need is a little more education and better skills. Tufekci points out that one historical example is no guarantee of future events. "Confronting the threat posed by machines, and the way in which the great data harvest has made them ever more able to compete with human workers, must be about our priorities," concludes Tufekci. "This problem is not us versus the machines, but between us, as humans, and how we value one another."
According to Tufekci technology is being used in many workplaces: to reduce the power of humans, and employers' dependency on them, whether by replacing, displacing or surveilling them. Optimists insist that we've been here before, during the Industrial Revolution, when machinery replaced manual labor, and all we need is a little more education and better skills. Tufekci points out that one historical example is no guarantee of future events. "Confronting the threat posed by machines, and the way in which the great data harvest has made them ever more able to compete with human workers, must be about our priorities," concludes Tufekci. "This problem is not us versus the machines, but between us, as humans, and how we value one another."
He may well believe that past results are no indication of future results, there's one overwhelmingly important fact that comes to mind: noone will be able to buy the stuff made in the robot factories if we're all unemployed or minimum wage serfs.
And if noone can buy the stuff, the owners aren't going to get rich selling the stuff. Which means THEY won't be able to buy stuff either....
"I do not agree with what you say, but I will defend to the death your right to say it"
And upping the Dependence on welfare / medicaid as well for some more Dependence on jail for a place to sleep / get food / get a doctor.
We need to work on basic income and universal health care be for removing even more jobs. Also do something about student loans / some kind of badges systems that makes so you don't have to go back to school for years at high cost to get a piece a paper so you can get a new job.
So... who exactly is going to buy all of these things when no one has any money because all the jobs have been replaced by robots?
if the ultimate capitalist pursuit of removing all human workers results in production without any cost, then they have delivered the ultimate socialist utopia: everything costs $0, no one having to work
all that has to be removed is the mendacity that will still seek rent for the existing machinery
http://en.wikipedia.org/wiki/R...
intellectual property law is philosophically incoherent. it is your moral duty to ignore it or sabotage it
Companies have gotten really good a simplifying human jobs so that new hires with few skills can be quickly trained up to replace underperforming or otherwise problematic workers. There are high paying management jobs (a few of them) for producing and optimizing employment manuals, procedures, performance targets and input kiosks so that the absolute lowest common denominator hire can quickly fill a void.
As an example McDonalds "upgraded" their order taking turrets from using words for each food item to pictures for each food item. That meant they could employ people who couldn't read, because I guess literacy was a limiting requirement in their hiring process. McDonalds employs over 400,000 people. Just a small "savings" across that employment base is worth millions. That millions of savings get's split between shareholders and the top tier of management who designs and implements these "process enhancements".
And the new thing is to order online from your smartphone and pick it up at the counter. That gets rid of the order taker entirely and you can staff with mostly "behind the scenes" worker bees that don't even have to speak English. That is until you can get a robot to make the food too.
Call centers have been doing this for years with average call time metrics, flow charts for addressing caller needs, etc... It's happening in lots and lots of industries now.
But who's making money off those smartphone games at $1 a pop? All we hear about is how nobody makes money on them.
I've heard more than a few serious economists (ie, real academics who aren't mass-media brand names) sound kind of nervous about automation's role in shrinking the number of jobs. Few of them seem ready to entirely disown the notion that automating one set of tasks frees up labor for new economic expansions where the tasks can't be easily automated.
Where they seem to get nervous is over the fact that the jobs increasingly eliminated by automation are jobs that previously required a lot of education and were high wage, white collar jobs. And they're not being replaced by new jobs of the same type, they're being replaced by low-wage jobs that require hard to automate manual skills -- when they're being replaced at all.
The new high wage white collar jobs being produced often require the kind of extensive training and experience extremely difficult for mid-career professionals to obtain, which is compounded by the rate of jobs being automated.
I'm increasingly of the opinion that the notion of a broad middle class is a kind of historical accident caused by the confluence of growth in technology, wide and cheap resource availability and high labor demand. We may be nearing the end of the middle class as we've known it and mostly like it, and returning to a more historical pattern of broad poverty and narrow wealth.