(Go to 
http://www.nytimes.com/2014/04/16/business/economy/tech-leaps-job-losses-and-rising-inequality.html
 
for useful graphics.)

NY Times, April 16 2014
Tech Leaps, Job Losses and Rising Inequality
by Eduardo Porter

It’s hard to overstate the excitement of tech people about what is on 
the verge of happening to the practice of medicine.

Eric Horvitz, co-director of Microsoft Research’s main lab in Redmond, 
Wash., told me about a system that could predict a pregnant woman’s odds 
of suffering postpartum depression with uncanny accuracy by looking at 
her posts on Twitter, measuring signs like how many times she used words 
like “I” and “me.”

Ramesh Rao of the California Institute for Telecommunications and 
Information Technology at the University of California, San Diego, 
described how doctors using video and audio to remotely assess victims 
of stroke made the correct call 98 percent of the time.

This is just the beginning. “The real innovative things have yet to be 
activated,” Mr. Rao said. “Whatever happens will be disruptive.”

That’s not the half of it.

A few years ago, this kind of technological development would be treated 
like unadulterated good news: an opportunity to improve the nation’s 
health and standard of living while perhaps even reducing health care 
costs and achieving a leap in productivity that would cement the United 
States’ pre-eminent position on the frontier of technology.

But a growing pessimism has crept into our understanding of the impact 
of such innovations. It’s an old fear, widely held since the time of Ned 
Ludd, who destroyed two mechanical knitting machines in 19th-century 
England and introduced the Luddite movement, humankind’s first organized 
protest against technological change.

In its current incarnation, though, the fear is actually very new. It 
strikes against bedrock propositions developed over more than half a 
century of economic scholarship. It can be articulated succinctly: What 
if technology has become a substitute for labor, rather than its complement?

As J. Bradford Delong, a professor of economics at the University of 
California, Berkeley, wrote recently, throughout most of human history 
every new machine that took the job once performed by a person’s hands 
and muscles increased the demand for complementary human skills — like 
those performed by eyes, ears or brains.

But, Mr. Delong pointed out, no law of nature ensures this will always 
be the case. Some jobs — nannies, say, or waiting tables — may always 
require lots of people. But as information technology creeps into 
occupations that have historically relied mostly on brainpower, it 
threatens to leave many fewer good jobs for people to do.

These sorts of ideas still strike most mainstream economists as 
heretical, an uncalled-for departure from a canon that states that 
capital — from land and lathes to computers and cyclotrons — is 
complementary to labor.

It was a canon written by economists like Robert Solow, who won the 
Nobel in economic science for his work on how labor, capital and 
technological progress contribute to economic growth. He proposed more 
than 50 years ago that the share of an economy’s rewards accruing to 
labor and capital would be roughly stable over the long term.

But evidence is emerging that this long-held tenet is no longer valid. 
In the United States, the share of national income that goes to workers 
— in wages and benefits — has been falling for almost half a century.

Today it’s at its lowest level since the 1950s while the returns to 
capital have soared. Corporate profits take the largest share of 
national income since the government started measuring the statistic in 
the 1920s.

In a recent interview, Professor Solow stressed that his proposition of 
relatively stable labor and capital shares assumed “an economy in a 
steady state with no systematic structural changes occurring.”

That assumption doesn’t seem to hold anymore. “Over the last few decades 
something structural might be happening to the economy that seems to 
want to increase the capital share,” he said.

Professor Solow suggests that technology is probably not the only cause 
of labor’s declining share. He cites “everyday reasons,” including the 
erosion of the minimum wage, the decimation of trade unions and 
anti-labor legislation.

But technology clearly plays a role. “We will know better in 10 or 15 
years,” Professor Solow said. “But if I had to interpret the data now, I 
would guess that as the economy becomes more capital intensive, 
capital’s share of income will rise.”

This shift is happening globally. In a recent article in the Quarterly 
Journal of Economics, Loukas Karabarbounis and Brent Neiman from the 
University of Chicago’s Booth School of Business found that the share of 
income going to workers has been declining around the world.

As the cost of capital investments has fallen relative to the cost of 
labor, businesses have rushed to replace workers with technology.

“From the mid-1970s onwards, there is evidence that capital and labor 
are more substitutable” than what standard economic models would 
suggest, Professor Neiman told me. “This is happening all over the 
place. It is a major global trend.”

The implication is potentially dire: The vast disparities in the 
distribution of income that have been widening inexorably since the 
1980s will widen further.

This is hardly a consensus reading of the record. “It is hard to make a 
very definite prediction about how the capital-income share will evolve 
over the next 10 years,” Daron Acemoglu, a colleague of Mr. Solow’s at 
M.I.T., told me. “Future technology could maybe increase the 
contribution of labor.”

Tyler Cowen, a professor of economics at George Mason University, argues 
that the very definitions of labor and capital are arbitrary. Instead, 
he looks around the world to find the relatively scarce factors of 
production and finds two: natural resources, which are dwindling, and 
good ideas, which can reach larger markets than ever before.

If you possess one of those, then you will reap most of the rewards of 
growth. If you don’t, you will not.

Conventional wisdom in economics has long held that technological change 
affects income inequality by increasing the rewards to skill — through a 
dynamic called “skill-biased technical change.” Losers are workers whose 
job can be replaced by machines (textile workers, for example). Those 
whose skills are enhanced by machines (think Wall Street traders using 
ultrafast computers) win.

It is becoming increasingly apparent, however, that this is not the 
whole story and that the skills-heavy narrative of inequality is not as 
straightforward as economists once believed. The persistent decline in 
the labor share of income suggests another dynamic. Call it 
“capital-biased technical change” — which encourages replacing decently 
paid workers with a machine, regardless of their skill.

For instance, r esearch by the Canadian economists Paul Beaudry, David 
Green and Benjamin Sand finds that demand for highly skilled workers in 
the United States peaked around 2000 and then fell, even as their supply 
continued to grow. This pushed the highly educated down the ladder of 
skills in search of jobs, pushing less-educated workers further down.

This dynamic opens a new avenue for inequality to widen: the rise in the 
rewards to inherited wealth, a topic explored in depth in Thomas 
Piketty’s expansive new book, “Capital in the Twenty-First Century.”

So what about the long-term prospect of good jobs in medicine? Policy 
makers hold fast to the hope that a growing health care industry will 
support the American middle-class worker of the future. But technology 
could easily disrupt this promise too.

“Health care jobs may be safe now,” said Gordon Hanson, a professor of 
economics at the University of California, San Diego, “but our sense of 
what’s safe has been consistently belied by the impact of our 
technological progress.”

Or as Mr. Rao put it, diagnosing depression from Twitter posts “doesn’t 
require any medical training.”

The only safe route into the future seems to be to already have a lot of 
money.
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