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Why Robots Won’t Cause Mass Unemployment – Article by Jonathan Newman

Why Robots Won’t Cause Mass Unemployment – Article by Jonathan Newman

The New Renaissance Hat
Jonathan Newman
August 5, 2017
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I made a small note in a previous article about how we shouldn’t worry about technology that displaces human workers:

The lamenters don’t seem to understand that increased productivity in one industry frees up resources and laborers for other industries, and, since increased productivity means increased real wages, demand for goods and services will increase as well. They seem to have a nonsensical apocalyptic view of a fully automated future with piles and piles of valuable goods everywhere, but nobody can enjoy them because nobody has a job. I invite the worriers to check out simple supply and demand analysis and Say’s Law.

Say’s Law of markets is a particularly potent antidote to worries about automation, displaced workers, and the so-called “economic singularity.” Jean-Baptiste Say explained how over-production is never a problem for a market economy. This is because all acts of production result in the producer having an increased ability to purchase other goods. In other words, supplying goods on the market allows you to demand goods on the market.

Say’s Law, Rightly Understood

J.B. Say’s Law is often inappropriately summarized as “supply creates its own demand,” a product of Keynes having “badly vulgarized and distorted the law.”

Professor Bylund has recently set the record straight regarding the various summaries and interpretations of Say’s Law.

Bylund lists the proper definitions:

Say’s Law:

  • Production precedes consumption.
  • Demand is constituted by supply.
  • One’s demand for products in the market is limited by one’s supply.
  • Production is undertaken to facilitate consumption.
  • Your supply to satisfy the wants of others makes up your demand for for others’ production.
  • There can be no general over-production (glut) in the market.

NOT Say’s Law:

  • Production creates its own demand.
  • Aggregate supply is (always) equal to aggregate demand.
  • The economy is always at full employment.
  • Production cannot exceed consumption for any good.

Say’s Law should allay the fears of robots taking everybody’s jobs. Producers will only employ more automated (read: capital-intensive) production techniques if such an arrangement is more productive and profitable than a more labor-intensive technique. As revealed by Say’s Law, this means that the more productive producers have an increased ability to purchase more goods on the market. There will never be “piles and piles of valuable goods” laying around with no one to enjoy them.

Will All the Income Slide to the Top?

The robophobic are also worried about income inequality — all the greedy capitalists will take advantage of the increased productivity of the automated techniques and fire all of their employees. Unemployment will rise as we run out of jobs for humans to do, they say.

This fear is unreasonable for three reasons. First of all, how could these greedy capitalists make all their money without a large mass of consumers to purchase their products? If the majority of people are without incomes because of automation, then the majority of people won’t be able to help line the pockets of the greedy capitalists.

Second, there will always be jobs because there will always be scarcity. Human wants are unlimited, diverse, and ever-changing, yet the resources we need to satisfy our desires are limited. The production of any good requires labor and entrepreneurship, so humans will never become unnecessary.

Finally, Say’s Law implies that the profitability of producing all other goods will increase after a technological advancement in the production of one good. Real wages can increase because the greedy robot-using capitalists now have increased demands for all other goods. I hope the following scenario makes this clear.

The Case of the Robot Fairy

This simple scenario shows why the increased productivity of a new, more capital-intensive technique makes everybody better off in the end.

Consider an island of three people: Joe, Mark, and Patrick. The three of them produce coconuts and berries. They prefer a varied diet, but they have their own comparative advantages and preferences over the two goods.

Patrick prefers a stable supply of coconuts and berries every week, and so he worked out a deal with Joe such that Joe would pay him a certain wage in coconuts and berries every week in exchange for Patrick helping Joe gather coconuts. If they have a productive week, Joe gets to keep the extra coconuts and perhaps trade some of the extra coconuts for berries with Mark. If they have a less than productive week, then Patrick still receives his certain wage and Joe has to suffer.

On average, Joe and Patrick produce 50 coconuts/week. In exchange for his labor, Patrick gets 10 coconuts and 5 quarts of berries every week from Joe.

Mark produces the berries on his own. He produces about 30 quarts of berries every week. Joe and Mark usually trade 20 coconuts for 15 quarts of berries. Joe needs some of those berries to pay Patrick, but some are for himself because he also likes to consume berries.

In sum, and for an average week, Joe and Patrick produce 50 coconuts and Mark produces 30 quarts of berries. Joe ends up with 20 coconuts and 10 quarts of berries, Patrick ends up with 10 coconuts and 5 quarts of berries, and Mark ends up with 20 coconuts and 15 quarts of berries.

Production Trade Consumption
Joe 50 Coconuts (C) Give 20C for 15B 20C + 10B
Patrick n/a 10C + 5B (wage)
Mark 30 qts. Berries (B) Give 15B for 20C 20C + 15B

The Robot Fairy Visits

One night, the robot fairy visits the island and endows Joe with a Patrick 9000, a robot that totally displaces Patrick from his job, plus some. With the robot, Joe can now produce 100 coconuts per week without the human Patrick.

What is Patrick to do? Well, he considers two options: (1) Now that the island has plenty of coconuts, he could go work for Mark and pick berries under a similar arrangement he had with Joe; or (2) Patrick could head to the beach and start catching some fish, hoping that Joe and Mark will trade with him.

While these options weren’t Patrick’s top choices before the robot fairy visited, now they are great options precisely because Joe’s productivity has increased. Joe’s increased productivity doesn’t just mean that he is richer in terms of coconuts, but his demands for berries and new goods like fish increase as well (Say’s Law), meaning the profitability of producing all other goods that Joe likes also increases!

Option 1

If Patrick chooses option 1 and goes to work for Mark, then both berry and coconut production totals will increase. Assuming berry production doesn’t increase as much as coconut production, the price of a coconut in terms of berries will decrease (Joe’s marginal utility for coconuts will also be very low), meaning Mark can purchase many more coconuts than before.

Suppose Patrick adds 15 quarts of berries per week to Mark’s production. Joe and Mark could agree to trade 40 coconuts for 20 quarts of berries, so Joe ends up with 60 coconuts and 20 quarts of berries. Mark can pay Patrick up to 19 coconuts and 9 quarts of berries and still be better off compared to before Joe got his Patrick 9000 (though Patrick’s marginal productivity would warrant something like 12 coconuts and 9 quarts of berries or 18 coconuts and 6 quarts of berries or some combination between those — no matter what, everybody is better off).

Production Trade Consumption
Joe 100C Give 40C for 20B 60C + 20B
Patrick 45B n/a 16C + 7B (wage)
Mark Give 20B for 40C 24C + 18B

Option 2

If Mark decides to reject Patrick’s offer to work for him, then Patrick can choose option 2, catching fish. It involves more uncertainty than what Patrick is used to, but he anticipates that the extra food will be worth it.

Suppose that Patrick can produce just 5 fish per week. Joe, who is practically swimming in coconuts pays Patrick 20 coconuts for 1 fish. Mark, who is excited about more diversity in his diet and even prefers fish to his own berries, pays Patrick 10 quarts of berries for 2 fish. Joe and Mark also trade some coconuts and berries.

In the end, Patrick gets 20 coconuts, 10 quarts of berries, and 2 fish per week. Joe gets 50 coconuts, 15 quarts of berries, and 1 fish per week. Mark gets 30 coconuts, 5 quarts of berries, and 2 fish per week. Everybody prefers their new diet.

Production Trade Consumption
Joe 100C Give 50C for 15B + 1F 50C + 15B + 1F
Patrick 5 fish (F) Give 2F for 20C + 10B 20C + 10B + 2F
Mark 30B Give 25B for 30C + 1F 30C + 5B + 2F

Conclusion

The new technology forced Patrick to find a new way to sustain himself. These new jobs were necessarily second-best (at most) to working for Joe in the pre-robot days, or else Patrick would have pursued them earlier. But just because they were suboptimal pre-robot does not mean that they are suboptimal post-robot. The island’s economy was dramatically changed by the robot, such that total production (and therefore consumption) could increase for everybody. Joe’s increased productivity translated into better deals for everybody.

Of course, one extremely unrealistic aspect of this robot fairy story is the robot fairy. Robot fairies do not exist, unfortunately. New technologies must be wrangled into existence by human labor and natural resources, with the help of capital goods, which also must be produced using labor and natural resources. Also, new machines have to be maintained, replaced, refueled, and rejiggered, all of which require human labor. Thus, we have made this scenario difficult for ourselves by assuming away all of the labor that would be required to produce and maintain the Patrick 9000. Even so, we see that the whole economy, including the human Patrick, benefits as a result of the new robot.

This scenario highlights three important points:

(1) Production must precede consumption, even for goods you don’t produce (Say’s Law). For Mark to consume coconuts or fish, he has to supply berries on the market. For Joe to consume berries or fish, he has to supply coconuts on the market. Patrick produced fish so that he could also enjoy coconuts and berries.

(2) Isolation wasn’t an option for Patrick. Because of the Law of Association (a topic not discussed here, but important nonetheless), there is always a way for Patrick to participate in a division of labor and benefit as a result, even after being displaced by the robot.

(3) Jobs will never run out because human wants will never run out. Even if our three island inhabitants had all of the coconuts and berries they could eat before the robot fairy visited, Patrick was able to supply additional want satisfaction with a brand new good, the fish. In the real world, new technologies often pave the way for brand new, totally unrelated goods to emerge and for whole economies to flourish. Hans Rosling famously made the case that the advent of the washing machine allowed women and their families to emerge from poverty:

And what’s the magic with them? My mother explained the magic with this machine the very, very first day. She said, “Now Hans, we have loaded the laundry. The machine will make the work. And now we can go to the library.” Because this is the magic: you load the laundry, and what do you get out of the machine? You get books out of the machines, children’s books. And mother got time to read for me. She loved this. I got the “ABC’s” — this is where I started my career as a professor, when my mother had time to read for me. And she also got books for herself. She managed to study English and learn that as a foreign language. And she read so many novels, so many different novels here. And we really, we really loved this machine.

And what we said, my mother and me, “Thank you industrialization. Thank you steel mill. Thank you power station. And thank you chemical processing industry that gave us time to read books.”

Similarly, the Patrick 9000, a coconut-producing robot, made fish production profitable. Indeed, when we look at the industrial revolution and the computer revolution, we do not just see an increase in the production of existing goods. We see existing goods increasing in quantity and quality; we see brand new consumption goods and totally new industries emerging, providing huge opportunities for employment and future advances in everybody’s standard of living.

Jonathan Newman is Assistant Professor of Economics and Finance at Bryan College. He earned his PhD at Auburn University and is a Mises Institute Fellow. He can be contacted here.

Panel – Artificial Intelligence & Robots: Economy of the Future or End of Free Markets? – Michael Shermer, Edward Hudgins, Zoltan Istvan, Gennady Stolyarov II, Eric Shuss

Panel – Artificial Intelligence & Robots: Economy of the Future or End of Free Markets? – Michael Shermer, Edward Hudgins, Zoltan Istvan, Gennady Stolyarov II, Eric Shuss

The New Renaissance Hat

G. Stolyarov II

Michael Shermer

Edward Hudgins

Zoltan Istvan

Eric Shuss

July 28, 2017


Gennady Stolyarov II, Chairman of the U.S. Transhumanist Party, participated in the panel discussion at FreedomFest in Las Vegas on July 21, 2017, entitled “AI & Robots: Economy of the Future or End of Free Markets?” The panelists presented a set of realistic, balanced analyses on the impact of artificial intelligence and automation.

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For this event there was an outstanding speaker lineup, with moderator Michael Shermer, followed by Edward Hudgins, Peter Voss, Zoltan Istvan, Gennady Stolyarov II, and Eric Shuss.

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The general focus of Mr. Stolyarov’s remarks was to dispel AI-oriented doomsaying and convey the likely survival of the capitalist economy for at least the forthcoming several decades – since narrow AI cannot automate away jobs requiring creative human judgment.

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The video was recorded by filmmaker Ford Fischer and is reproduced with his permission.

Visit Ford Fischer’s News2Share channel here.

Visit the U.S. Transhumanist Party website here.

Join the U.S. Transhumanist Party for free by filling out our membership application form here.

Visit the U.S. Transhumanist Party Facebook page here.

Visit the U.S. Transhumanist Party Twitter page here.

Gennady Stolyarov II Discusses Artificial Intelligence with Ford Fischer

Gennady Stolyarov II Discusses Artificial Intelligence with Ford Fischer

The New Renaissance Hat

G. Stolyarov II

July 28, 2017


U.S. Transhumanist Party Chairman Gennady Stolyarov II discusses why artificial intelligence is not a threat to humanity’s existence or to jobs in many professions in the proximate several decades.

This discussion was recorded as part of a larger interview with filmmaker Ford Fischer on July 21, 2017. It was intended to preview and elaborate upon some of Mr. Stolyarov’s remarks at the discussion panel later that same day, entitled “AI & Robots: Economy of the Future or End of Free Markets?”

The video is reproduced on Mr. Stolyarov’s YouTube channel with permission from Ford Fischer.

Visit Ford Fischer’s News2Share channel here.

Visit the U.S. Transhumanist Party website here.

Join the U.S. Transhumanist Party for free by filling out our membership application form here.

Visit the U.S. Transhumanist Party Facebook page here.

Visit the U.S. Transhumanist Party Twitter page here.

AI and the Future of Free Markets: A Nuanced View – Preview of FreedomFest 2017 Panel Comments by G. Stolyarov II

AI and the Future of Free Markets: A Nuanced View – Preview of FreedomFest 2017 Panel Comments by G. Stolyarov II

The New Renaissance Hat

G. Stolyarov II

July 18, 2017


Gennady Stolyarov II, Chairman of the United States Transhumanist Party, offers a preview of his forthcoming remarks at the July 21, 2017, FreedomFest panel in Las Vegas, entitled “Artificial Intelligence & Robots: Economy of the Future or End of Free Markets?”

Find more information regarding the FreedomFest panel here.

Visit the U.S. Transhumanist Party website here.

Become a member of the U.S. Transhumanist Party for free by filling out our concise application form.

The Evidence Weighs in Favor of Immigration – Article by Luis Pablo de la Horra

The Evidence Weighs in Favor of Immigration – Article by Luis Pablo de la Horra

The New Renaissance HatLuis Pablo de la Horra
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In a previous article, I analyzed the economics of immigration from a theoretical perspective. I concluded that economic theory clearly supports immigration-friendly policies since they benefit all parties involved. In this article, I will examine the empirical evidence on the effects of immigration on host countries and immigrants themselves.

Effects on Employment, Wages, and Public Finances

High immigration rates are often associated with rises in unemployment. The logic behind this (flawed) reasoning is straightforward: if an economy can only absorb a fixed number of jobs and the labor force increases, the unemployment rate will inevitably rise. What’s wrong about this statement? Simple: the economy is not a zero-sum game.

In other words, the number of jobs available increases as the economy grows. After World War II, the US labor force increased dramatically due to immigration and the massive entry of women into the labor market. It moved from 60 million in 1950 to around 150 million workers in 2007. And yet, the unemployment rate in 2007 was as low as 4.6 percent, near full employment.

In a survey paper on the economic effects of immigration, published in 2011, Sari Pekkala Kerr and William R. Kerr concluded that the long-term impact of immigration on employment is negligible. In their own words,

The large majority of studies suggest that immigration does not exert significant effects on native labor market outcomes. Even large, sudden inflows of immigrants were not found to reduce native wages or employment significantly.

As suggested by the research conducted by Giovanni Peri, professor of Economics at UC Davis, immigration has positive effects on productivity since it expands the productive capacity of the economy, which in turn results in higher wages in the long run. Nonetheless, there are certain disagreements on how immigration affects native, low-skilled workers (mainly high school dropouts).

Different studies point at a wage decline between 0 (no effects at all) and 7 percent for this segment of population. Even when assuming the worst-case scenario of a 7 percent decline (which does not consider the investment in capital undertaken by companies to compensate for a decline in the capital-labor ratio), low-skilled immigration has net positive economic effects for host societies, allowing native workers to perform more productive jobs and increasing the specialization of the economy.

One of the most popular arguments against immigration is the issue of welfare benefits. Immigrants are believed to pose a burden on the host economy. Their net fiscal impact (defined as taxes paid by immigrants minus public services and benefits received) is thought to be overwhelmingly negative when compared with the fiscal impact of natives. Yet the evidence does not support this idea. As pointed out by Kerr and Kerr,

It is very clear that the net social impact of an immigrant over his or her lifetime depends substantially and in predictable ways on the immigrants’ age at arrival, education, reason for migration, and similar […] The estimated net fiscal impact of migrants also varies substantially across studies, but the overall magnitudes relative to the GDP remain modest […] The more credible analyses typically find small fiscal effects.

Therefore, there are no good reasons to impose tough restrictions on labor mobility in the name of fiscal sustainability.

The Place Premium: How to Reduce Poverty by Lowering Immigration Barriers

Wage differentials among countries can be explained by drawing on the concept of Place Premium, that is, the increase in earnings that a worker automatically experiences when moving to a high-productivity country. This increase is due to several factors: differences in capital stock, infrastructure, proximity to other high-productivity workers, etc.

The Place Premium of potential immigrants moving to the US has been estimated for a few countries. A Haitian worker that were to relocate to the US would see her PP-adjusted earnings automatically rise by 700% when compared to the same worker in Haiti performing an equivalent job (or a job that requires the same skills and education). Similarly, a worker from Guatemala or Nicaragua would more than triple her earnings, while a Filipino would increase her purchasing power by 3.5 times. In other words, relaxing barriers and letting more immigrants into higher-productivity countries seems to be one of the most effective ways to improve the life of millions of people worldwide.

All in all, the economic benefits of immigration seem obvious for both host countries and immigrants. The data shows that restrictive immigration policies have adverse effects on host economies and prevent would-be immigrants from increasing their income by migrating to higher-productivity countries. Thus, the path to take is clear: we should gradually reduce immigration barriers so that more and more people can take advantage of the benefits of capitalism.

Luis Pablo de la Horra is a Spanish finance graduate from Vlerick Business School.

This article was published by The Foundation for Economic Education and may be freely distributed, subject to a Creative Commons Attribution 4.0 International License, which requires that credit be given to the author.

Kicking Out the Coders Is Not a Good Way to Reform Immigration – Article by Jeffrey A. Tucker

Kicking Out the Coders Is Not a Good Way to Reform Immigration – Article by Jeffrey A. Tucker

The New Renaissance HatJeffrey A. Tucker
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Coding is a job you just can’t fake. Your stuff either works or it doesn’t. You can either do the job or you can’t. So ranking people according to skill is much easier. It’s a profession that is intensely competitive, and clearly not for everyone.

I can remember so well sitting around the lunch table with some employees at Google’s headquarters. Forty-five minutes in, everyone started getting antsy to get back to work. In the blink of an eye, they disappeared to get back to their desks. They are profoundly aware that performance is everything, and other great performers are ready to displace them at anytime.

Because the US is the world center of digital tech development, the demand for high-level coders has never been higher. Companies who employ workers don’t give a flying fig about your nationality. They want your talent now, from wherever you hail.

The Way In

US immigration policy has long accommodated this demand through a program called the H1-B, which pertains to skilled workers. The program permits 65,000 people with a college degree, and 20,000 with higher-level training, to work in the US for three years, during which time they can apply for green-card status. It is a harrowing life for those chosen, but it is better than being on the rejection list.

Each year more than a quarter of a million people from abroad file applications, some as thick as six inches. The chances of getting picked are good enough to keep hopes high but bad enough so that no one banks on getting in. And guess who picks the winners? It’s a lottery. A computer.

The whole system is ridiculously irrational, cruel, and self defeating, even if you believe in an America First immigration policy. Denying talented people jobs, infringing on the rights of businesses to hire whom they want, is an innovation killer. It causes the US to lose its competitive advantage, lowers economic growth, and denies all of us access to cool innovations that would otherwise make our lives better.

Even for the many critics of immigration, this program should pass muster. These people are not security risks. They aren’t going on welfare. They have the strongest possible incentive to acculturate, obey the law, and contribute mightily to American enterprise. What’s not to like?

The Way Out

So, yes, the program needs dramatic reform: it should be expanded many times over. However, the worst way to reform it is to restrict the program. In fact that seems unthinkable. And yet, we are learning with the Trump administration that nothing is unthinkable. Restricting the number of coders who have access to the H1-B program is exactly what the government is doing right now.

In recent days, immigration authorities announced a seemingly small change in what applications will be considered valid. No longer will coding be considered a “specialty occupation.” Further, the Justice Department announced that it will be conducting close investigations of tech companies that rely on the H1-B program for its coders. They are looking to make sure that companies are not denying Americans jobs in the search for quality candidates.

On the first point, this is a completely arbitrary administrative change, enacted without any Congressional vote or public comment. It’s the very embodiment of an independent bureaucracy run amok and acquiescing to political pressure from the regime in power. As for the investigations, here is a clear example of a hard truth: restrictions on immigration ultimately give more power to the state to oppress its own citizens.

What’s especially bizarre here is that this program has absolutely nothing to do with the nightmare scenarios of teeming masses of pillaging, raping terrorists pouring in across leaky borders that formed the basis of Trump’s anti-immigration rhetoric during the election. He did criticize the H1-B program in passing but most observers figured that he was once again out on his usual limb, speaking on issues about which he knew nothing.

What’s more, there is not even a job displacement issue here. If Google wants to hire a programmer from abroad, it can do so with the H1-B program or simply by contracting abroad (which is not currently restricted, thank the Lord). As an American citizen coder, with whom do you want to compete? A foreign resident making $200K or a foreign worker paid $100 an hour? The former represents a much higher cost to American business, so the arrangement gives the greatest possible advantage to existing citizens. (Special thank you to FEE president Lawrence Reed for making that point to me.)

In the first months of the Trump presidency, we’ve yet to see any action on health care or taxes, two issues that drove millions to the polls to vote for him. But on immigration, there’s been plenty of action. The bureaucracy is on overdrive, denying visas, keeping out qualified workers, instituting new forms of country exit controls, and even mandating forms of extreme vetting that could compromise your own communications with your friends in Europe and the UK.

On this topic, there seems to be absolute focus. But to what end? Success will only lead American business to be less competitive, less innovative, less able to forge a brilliant future for all of us. What is the goal here? Just to keep people out? How can anyone truly believe that this objective alone is a path toward greatness?

Even for critics of immigration policy, the H1-B program represents the right kind of immigration. It is about skills, invitation, and the right of business to employ the most talented people. Something has gone very wrong with an administration that seeks to dismantle something that should obviously be dramatically expanded.

Here’s a final issue that irks me. Government is demanding the most extreme forms of vetting, investigation, and compliance on the part of business, even as no one is more affected by labor choices than business itself. But as for itself, the government is completely satisfied with the most random system of all for selecting who gets in and who is kept out. Government has outsourced its job to a pair of dice.

Jeffrey Tucker is Director of Content for the Foundation for Economic Education. He is also Chief Liberty Officer and founder of Liberty.me, Distinguished Honorary Member of Mises Brazil, research fellow at the Acton Institute, policy adviser of the Heartland Institute, founder of the CryptoCurrency Conference, member of the editorial board of the Molinari Review, an advisor to the blockchain application builder Factom, and author of five books. He has written 150 introductions to books and many thousands of articles appearing in the scholarly and popular press.

This article was published by The Foundation for Economic Education and may be freely distributed, subject to a Creative Commons Attribution 4.0 International License, which requires that credit be given to the author. Read the original article.

The Good News They’re Not Telling You – Article by Thomas E. Woods, Jr.

The Good News They’re Not Telling You – Article by Thomas E. Woods, Jr.

The New Renaissance HatThomas E. Woods, Jr.
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As we look at things that impress us technologically we also have a certain trepidation, because we’re told that robots are going to take our jobs. “Yes, the internet is wonderful,” we may say, “but robots, I don’t want those.”

I don’t mean to make light of this because robots are going to take a lot of jobs. They’re going to take a lot of blue collar jobs, and they’re going to take a lot of white collar jobs you don’t think they can take. Already there are robots that can dispense pills at pharmacies. That’s being done in California. They have not made one mistake. You can’t say that about human pharmacists, who are now free to be up front talking to you while the robot fills the prescription.

Much of this is discussed by author Kevin Kelly in his new book The Inevitable, with the subtitle Understanding the 12 Technological Forces that Will Shape Our Future. It’s incredible what robots can do and what they will be able to do.

Automation Really Is Taking Our Jobs

To me, just the fact that one of Google’s newest computers can caption a photo perfectly — it can figure out what’s happening in the photo and give a perfect caption — is amazing. Just when you think “a machine can’t do my job,” maybe it can.

What kind of world is this we’re moving into? I understand the fear about that. But, at the same time, let’s think, first of all, about what happened in the past.

In the past, most people worked on farms, and automation took away 99 percent of those jobs. Literally 99 percent. They’re gone. People wound up with brand new jobs they could never have anticipated. And in pursuing those jobs we might even argue that we became more human. Because we diversified. Because we found a niche for ourselves that was unique to us. Automation is going to make it possible for human beings to do work that is more fulfilling.

How is that? Well, first let’s think about the kinds of jobs that automation and robots do that we couldn’t do even if we tried. Making computer chips, there’s no one in this room who could do that. We don’t have the precision and the control to do that. We can’t inspect every square millimeter of a CAT scan to look for cancer cells. These are all points Kevin Kelly is trying to make to us. We can’t inflate molten glass into the shape of a bottle.

So, there are many tasks that are done by robots, through automation that are tasks we physically could not do at all, and would not get done otherwise.

Automation Creates Luxuries We Didn’t Know Were Possible

But also automation creates jobs we didn’t even know we wanted done. Kelly gives this example:

Before we invented automobiles, air-conditioning, flat-screen video displays, and animated cartoons, no one living in ancient Rome wished they could watch pictures move while riding to Athens in climate-controlled comfort. … When robots and automation do our most basic work, making it relatively easy for us to be fed, clothed, and sheltered, then we are free to ask, “What are humans for?”

Kelly continues:

Industrialization did more than just extend the average human lifespan. It led a greater percentage of the population to decide that humans were meant to be ballerinas, full-time musicians, mathematicians, athletes, fashion designers, yoga masters, fan-fiction authors, and folks with one-of-a kind titles on their business cards.

The same is true of automation today. We will look back and be ashamed that human beings ever had to do some of the jobs they do today.

Turning Instead to Art, Science, and More

Now here’s something controversial. Kelly observes that there’s a sense in which we want jobs in which productivity is not the most important thing. When we think about productivity and efficiency, robots have that all over us. When it comes to “who can do this thing faster,” they can do it faster. So let them do jobs like that. It’s just a matter of — so to speak — robotically doing the same thing over and over again as fast as possible. We can’t compete there. Why bother?

Where can we compete? Well, we can compete in all the areas that are gloriously inefficient. Science is gloriously inefficient because of all the failures that are involved along the way. The same is true with innovation. The same is true of any kind of art. It is grotesquely inefficient from the point of view of the running of a pin factory. Being creative is inefficient because you go down a lot of dead ends. Healthcare and nursing: these things revolve around relationships and human experiences. They are not about efficiency.

So, let efficiency go to the robots. We’ll take the things that aren’t so focused on efficiency and productivity, where we excel, and we’ll focus on relationships, creativity, human contact, things that make us human. We focus on those things.

Automation Really Does Make Us Richer

Now, with extraordinary efficiency comes fantastic abundance. And with fantastic abundance comes greater purchasing power, because of the pushing down of prices through competition. So even if we earn less in nominal terms, our paychecks will stretch much further. That’s how people became wealthy during and after the Industrial Revolution. It was that we could suddenly produce so many more goods that competitive pressures put downward pressure on prices. That will continue to be the case. So, even if I have a job that pays me relatively little — in terms of how many of the incredibly abundant goods I’ll be able to acquire — it will be a salary the likes of which I can hardly imagine.

Now, I can anticipate an objection. This is an objection I’ll hear from leftists and also from some traditionalist conservatives. They’ll sniff that consumption and greater material abundance don’t improve us spiritually; they are actually impoverishing for us.

Well, for one thing, there’s actually much more materialism under socialism. When you’re barely scraping enough together to survive, you are obsessed with material things. But, second, let’s consider what we have been allowed to do by these forces. First, by industrialization alone. I’ve shared this before, but on my show I had Deirdre McCloskey once and she pointed out that in Burgundy, as recently as the 1840s, the men who worked the vineyards — after the crop was in, in the fall — they would go to bed and they would sleep huddled together, and they basically hibernated like that for months because they couldn’t afford the heat otherwise, or the food they would need to eat if they were expending energy by walking around. Now that is unhuman. And they don’t have to live that way anymore because they have these “terrible material things that are impoverishing them spiritually.”

The world average in terms of daily income has gone from $3 a day a couple hundred years ago to $33 a day. And, in the advanced countries, to $100 a day.
Yes, true, people can fritter that away on frivolous things, but there will always be frivolous people.

Meanwhile, we have the leisure to do things like participate in an American Kennel Club show, or go to an antiques show, or a square-dancing convention, or be a bird watcher, or host a book club in your home. These are things that would have been unthinkable to anyone just a few hundred years ago.

The material liberation has liberated our spirits and has allowed us to live more fulfilling lives than before. So, I don’t want to hear the “money can’t give you happiness” thing. If this doesn’t make you happy — that people are free to do these things and pursue things they love — then there ain’t no satisfying you.

Tom Woods, a senior fellow of the Mises Institute, is the author of a dozen books, most recently Real Dissent: A Libertarian Sets Fire to the Index Card of Allowable Opinion. Tom’s articles have appeared in dozens of popular and scholarly periodicals, and his books have been translated into a dozen languages. Tom hosts the Tom Woods Show, a libertarian podcast that releases a new episode every weekday. With Bob Murphy, he co-hosts Contra Krugman, a weekly podcast that refutes Paul Krugman’s New York Times column.

This article was published on Mises.org and may be freely distributed, subject to a Creative Commons Attribution United States License, which requires that credit be given to the author.

Our Economic Malaise Is Impacting Young Workers the Most – Article by Ryan McMaken

Our Economic Malaise Is Impacting Young Workers the Most – Article by Ryan McMaken

The New Renaissance Hat
Ryan McMaken
******************************

In the wake of the 2007-2009 recession, 78 months passed before employment returned to where it had been before the crisis. This was, by far, the longest period needed to recover from job losses in decades. The second-longest period needed to recover jobs occurred after the 2002 recession when about 50 months were needed to recover lost jobs:

economic_malaise_young_people_1

Moreover, we see that in recent cycles, job growth during each recovery has been getting weaker and weaker over time:

economic_malaise_young_people_2

Some observers of the rose-colored-glasses-wearing variety have attempted to explain away the most recent malaise in job gains by claiming that fewer jobs are needed because so many Baby Boomers are aging out of the work force, and because people are so much wealthier, they argue, workers are leaving the labor force for non-economic reasons. That is, people are leaving the labor force for reasons other than being discouraged workers.

These claims are plausible, but the empirical data we have does not support them.

Keep in mind that ever since the 2007-2009 recession, the U-6 unemployment rate, which includes underemployed workers (i.e., involuntary part timers) and discourage workers, has reached multi-decade highs in recent years, and even now, is only at levels seen during the worst of the last recession:

economic_malaise_young_people_3

This is not simply a matter of fewer jobs being created because workers are going away.

To get a sense of the situation, we have to first look at the demographics of the working age population and the labor force.

(This demographic data on the working-age population is only currently available through the first quarter of 2015, so the time series ends in early 2015.)

economic_malaise_young_people_4

The top line is the total working age population (ages 15-65) published by the OECD and the World Bank. According to this measure, there is no decline in the working age population.

If people were aging out of the work force in droves to the point of driving a net exodus, we would see a downturn in the blue line. We don’t see that. In fact, from the beginning of the last recession at the end of 2007 to the first quarter of 2015, the working age population increased by 7.5 million people.

During that same period, the US economy added 801,000 jobs. That is, after the initial loss of 10 million jobs, the US economy began to add jobs again, but after more than seven full years, had only added a net of 801,000 jobs.

But maybe only 801,000 jobs were added because very few of those 7.5 million people wanted to be in the work force.

Well, it’s a safe bet that not all of them wanted to be in the work force, but we do know that using the standard BLS measure for the work force that 2.4 million people entered the work force during the period when only 801,000 jobs were added. (See the green line above.) That means over that time period, you had 1.6 million new people in the labor force while half that many jobs were added.

And this labor force measure only takes into account active job seekers and employed people. It ignores discouraged workers and involuntary part timers.

So we find that both the official labor force and the working age population were increasing at levels substantially above the employment levels.

Indeed, the only way we can find a number that suggests more jobs were added than workers is to look at the working-age population for ages between 25 and 54. That is, if we exclude all potential workers under 25 and all above 54, then yes, the working age population did decline by 1 million jobs. (See the red line above.)

In real life, though, the work force includes quite a few people who are, say, 22 years old, and quite a few who are 60 years old. If those people are included, the working age population is growing considerably.

Meanwhile, workforce participation has been falling for a number of years, and is now at some of the lowest levels that have been seen in more than 30 years. From 2014 to 2016, work force participation ranged from about 62 percent to 64 percent. That’s the lowest participation rate seen since the the early 1980s.

economic_malaise_young_people_5

Many have assumed this means that many older workers are leaving the work force. Unfortunately, it seems that it is young workers who are most likely to leave the labor force, which is problematic for future productivity. For young workers in the 20-24 age range, work force participation has been falling for more than a decade, and fell off significantly during the last recession:

economic_malaise_young_people_6

Meanwhile, labor force participation for 55-and-older individuals has held steady:

economic_malaise_young_people_7

It appears unlikely that it is now unnecessary to add jobs at a rate comparable to past recoveries because so many older workers are leaving the work force. Nor is it likely that young people are leaving the work force because they are so prosperous. It’s more likely that young people are leaving the work force as discouraged workers.

This supposition is further strengthened by the fact that the unemployment rate in the 16-24 age range has been above 10 percent for the past nine years. It was especially high even before the last recession.

But, unemployment among over-55 workers is among the lowest of all demographic groups, with a rate between 3 percent and 4 percent in recent years.

In other words, older workers are sticking around and doing relatively well. It appears that younger workers, meanwhile, are more likely to be unemployed, underemployed, or even totally out of the workforce as discouraged workers.

One phenomenon that gives us a reason to think this is the fact that the number of young people living with their parents has reached historic highs in the United States. As Pew recently reported:

In 2014, for the first time in more than 130 years, adults ages 18 to 34 were slightly more likely to be living in their parents’ home than they were to be living with a spouse or partner in their own household.

Living at home is more likely for men than for women, but in both cases, more young people are living with their parents than during any other period since World War II:

economic_malaise_young_people_8

Those who attempt to spin the current job numbers as simply the effects of people happily leaving the work force appear to be mistaken in assuming that older workers are leaving, and that younger workers need not work because they’re so unusually productive.

If young workers were so productive, is it too much to believe that they would choose to rent an apartment rather than live with their parents?

Once we look a the demographics behind the current job numbers, we actually find the situation is more alarming that we might have thought otherwise. We seem to be in a situation where younger workers are participating in the work force less, and putting off acquiring essential job skills that will lead to more productivity later.

Older workers are still sticking around in numbers large enough to keep the overall labor force number growing.

However, while both the working age population and the labor force are growing, overall job creation simply is not keeping up.

At some point, those 30-year olds living with their parents are doing to need full-time work, but will they have the job experience necessary (and thus the productivity) necessary to support the lifestyle to which they have become accustomed?

Or, will they simply enter the workforce with few job skills following a decade of part-time work or no work forced on them by our weak economy? When that happens, we’re likely to see a continued decline in the household and personal incomes.

Ryan W. McMaken is the editor of Mises Daily and The Free Market. He has degrees in economics and political science from the University of Colorado, and was the economist for the Colorado Division of Housing from 2009 to 2014. He is the author of Commie Cowboys: The Bourgeoisie and the Nation-State in the Western Genre. 

This article was published on Mises.org and may be freely distributed, subject to a Creative Commons Attribution United States License, which requires that credit be given to the author.

How the Education System Destroys Social Networks – Article by Jeffrey A. Tucker

How the Education System Destroys Social Networks – Article by Jeffrey A. Tucker

The New Renaissance HatJeffrey A. Tucker
******************************

I was at a restaurant for lunch and had time to visit with the waitress, who turns out to be a college graduate from a good institution. She has a degree in European languages. Here she is waiting tables with nondegreed people, some five years her junior, some 10 years her elder.

She is making good money, but so are her co-workers. You have to wonder: given her position, what was the professional advantage to her of those four hard years in school and the $100K spent on them? What were the opportunity costs?

This is not another article to disparage the value of a college degree. I would like to raise a more fundamental question. It concerns the strange way in which our education system has overly segmented our lives into a series of episodic upheavals, each of which has little to do with the other, the value of one accomplishment being oddly disconnected from the next stage, and none of them directly connecting to our professional goals except in the unusual case.

From the earliest age until adulthood, we’ve been hurled from institution to institution in a way that eventually sets young people back from developing continuity of plans and a social support system to realize their goals. At the end of it all, people find themselves back where they started: figuring out their market worth and trying to find a buyer for their services.

Instead of drawing down on accumulated capital, they end up starting fresh at age 22. Even after years of building social capital, they are drawing down on a nearly empty account.

There is something seriously wrong with this system. Shouldn’t our investments in our friendship networks extend across and beyond the stages of our development to make more of a difference in our lives?

The post-graduation diaspora

In a couple of months, for example, many millions of high school students will graduate. Celebration! Sort of. It’s great to finish school. But what’s next?

Many students find themselves devastated to lose the only social group and friendship network they’ve ever known. They worked for years to cultivate it, and in an instant, it is blown apart. They are left with a piece of paper, a yearbook of memories, a transcript, and, perhaps a few recommendation letters from teachers — recommendations that do them little good in the marketplace.

“Don’t ever change,” they write in each other’s yearbooks. The sentiment expresses a normal longing to hold on to the investment the students make in each other’s lives, even as everything about the system tries to take that investment from them.

Is this the way it should be?

Then, the same group, or at least many among them, look forward to college, where they are mostly, again, starting from scratch in a social sense. It can be very scary. College students begin their new experience isolated. They work for another four years to develop a network — a robust social group — to find their footing and to establish both a reputation and sense of self. This is the only world they’ve known for years, and they have invested their hearts and souls into the experience.

The social fabric ends up rich and wonderful, with intense friendships based on shared lives.

Finally, after four years, the graduation march plays, the tassel is moved from one side of the cap to the other, and the whole social apparatus goes up in smoke — again. Then, another diaspora.

Once again, students find themselves nearly alone, with few hooks into the world of commerce and employment. They have a degree but few opportunities to monetize it. Their social network is of limited use to them. All they have, yet again, is a piece of paper. Plus they have recommendation letters from professors that still do them little good in the marketplace.

This not always the case. There are workarounds, and digital networking is helping. People join fraternities and social clubs, and those can be useful going forward. But it might take years for these connections to yield results. The more immediate question is this: What do I do now? Lacking a broad sense of the way the world works, and missing any influential hooks into prevailing networks, a college grad can often find herself feeling isolated once again, starting over for the third time.

The failure of the central plan

This is the system that the civic culture has created for us. For the years from the ages of 14 through 22, students’ primary focus of personal investment and social capital building is centered on their peers. But their peers are just the same as they are: hoping for a good future but having few means to get from here to there.

Why does this keep happening? Looking at the big picture, you can start to see a serious problem with the educational system politicians have built for us. It is keeping people “on track” — but is it a track that prepares people for the future?

A core principle of the education system, as owned and controlled by government, is Stay in school and stay with your class. This is the emphasis from the earliest grades all the way through the end of college. The accidents of birth determine your peer group, your primary social influences, and the gang you rely on for social support.

To be “held back” is considered disgraceful, and to be pushed forward a grade is considered dangerous for personal development. Your class rank is your world, the definition of who you are — and it stays with you for decades. Everyone is on a track as defined by a ruling class: here is what you should and must know when. All your peers are with you.

Many factors entrench this reality. The public school system is organized on the assumption of homogeneity, a central plan imposed from the top down. It didn’t happen all at once. It came about slowly over the course of 100-plus years, from the universalization of compulsory schooling, to the prohibition of youth work, to the gradual nationalization of curricula.

In the end, we find the lives of young people strictly segmented by stages that are strangely discontinuous. Where are the professional contacts that result? Where are the friends who can smooth your way into the world of professional work? They aren’t among your former classmates. Your peers are all in the same position you are in.

Laws that lock people out

The workplace might help to mitigate this problem, but it’s incredibly difficult for young people to get a regular job thanks to “child labor” laws that exclude teens from the workforce. For this reason, only one in four high school kids has any real experience outside their peer group. They miss all the opportunities to learn and grow that come from the workplace — learning from examples of personal initiative, responsibility, independence, and accountability.

There are extremely narrow conditions under which a 14-year-old can find legal employment, but few businesses want to bother with the necessary documentation and restrictions. A 16-year-old has a few more opportunities, but, even here, these young people can’t work in kitchens or serve alcohol. The full freedom to engage a larger community outside the segmented class structure doesn’t come until after you graduate high school.

By the time the opportunity comes around to do authentic remunerative work, a student’s life is filled with other interests, mostly social, but also extracurricular. Instead of working a job, people are doing a thousand other things, and there seems to be no time left. It’s not uncommon for people to graduate with no professional experiences whatsoever to draw on. Their peers are their only asset, their only really valuable relationships, but these relationships have little commercial value.

How natural is any of this?

If you look at the social structure of homeschooling co-ops, for example, younger kids and older kids mix it up in integrated social environments, and they learn from each other. Parents of all ages are well integrated too, and it creates a complex social environment. The parents know all the kids and, together, they form a diverse microsociety of mutual interests. This is one reason that homeschooled kids can seem remarkably precocious and poised around people of all ages. They are not being artificially pegged into slots and held there against their will.

A better way

When you read about the experiences of successful people in the late 19th century, they talk of their exciting and broad experiences in life, working in odd jobs, meeting strange people of all ages and classes, performing tasks outside their comfort zone, encountering adult situations in business that taught them important lessons. They didn’t learn these things from sitting in a desk, listening to a teacher, repeating facts on tests, and staying with their class. They discovered the world through mixing it up, having fabulous and sometimes weird experiences, being with people who are not in their age cohort. They drew on these experiences for years following.

The system to which we have become accustomed is not of our choosing, and it certainly isn’t organic to the social order. It has been inflicted on us, one piece of legislation at a time. It is the result of an imposed, rather than evolved, order. Why wait until age 22 to get serious about your life?  Why stick with only one career choice in the course of your appointed 40 years in professional life? Why retire at the young age of 65, just because the federal government wants you to do so?

Think about this the next time you attend a graduation. Are the students shedding only tears of joy? Or, in the sudden mixture of emotions, is there also the dawning realization that they are witnessing the destruction of a social order they worked so hard to cultivate? Are they also overwhelmed with the knowledge that, in short order, they will have to recreate something entirely new again? Where is the continuity? Where is the evidence of an evolved and developing order of improved opportunities?

The most important question is this: What are the alternatives?

Bring back apprenticeships. Bring back remunerative work for the young. Look beyond the central plan, and don’t get trapped. Rethink the claim that staying in school is an unmitigated good. Find other ways to prevent your heavy investments in others from dissipating; ensure instead that they will pay more immediate returns. Our friends should remain in our lives — and yield a lifetime of returns.

Jeffrey Tucker

Jeffrey Tucker

Jeffrey Tucker is Director of Content for the Foundation for Economic Education and CLO of the startup Liberty.me. Author of five books, and many thousands of articles, he speaks at FEE summer seminars and other events. His latest book is Bit by Bit: How P2P Is Freeing the World.  Follow on Twitter and Like on Facebook. Email

This article was originally published on FEE.org. Read the original article.

Yes, We Still Make Stuff, and It Wouldn’t Matter if We Didn’t – Article by Steven Horwitz

Yes, We Still Make Stuff, and It Wouldn’t Matter if We Didn’t – Article by Steven Horwitz

The New Renaissance HatSteven Horwitz
******************************

One of the perennial complaints about the US economy is that we don’t “make stuff” anymore. You hear this from candidates from both major parties, but especially from Donald Trump and Bernie Sanders. The argument seems to be that our manufacturing sector has collapsed and that all US workers do is to provide services, rather than manufacturing tangible goods.

It turns out that this perception is wrong, as the US manufacturing sector continues to grow and in 2014 manufacturing output was higher than at any point in US history. But even if the perception were correct, it does not matter. The measure of an economy’s health isn’t the quantity of physical stuff it produces, but rather the value that it produces. And value comes in a variety of forms.

Manufacturing is Up

The path to economic growth is not to freeze into place the US economy of the 1950s. Let’s deal with the myth of manufacturing decline first. The one piece of evidence in favor of that perception is that there are fewer manufacturing jobs today than in the past. Total manufacturing employment peaked at around 19 million jobs in the late 1970s. Today, there are about 12.5 million manufacturing jobs in the US.

However, manufacturing output has never been higher. The real value of US manufacturing output in 2014 was over $2 trillion. The real story of the US manufacturing sector is that we have become so much more efficient, that we can produce more and more manufactured goods with less and less labor. These efficiency gains are largely the result of computer technology and automation, especially in the last fifteen years.

The labor that we no longer need in order to produce an ever-increasing amount of stuff is now available to produce a whole variety of other things we value, from phone apps to entertainment to the expanded number and variety of grocery stores and restaurants, to the data analyses that makes all of this growth possible.

Just as the workers in those factories we are so nostalgic for were labor freed from growing food thanks to the growth in agricultural productivity, so are today’s web designers, chefs at the newest hipster café, and digital editors in Hollywood the labor that has been freed from producing “stuff” thanks to greater technological productivity.

Or, put differently: those agricultural, industrial, and computer revolutions collectively have enabled us to have more food, more stuff, and more entertainment, apps, services, and cage-free chicken salads served with kale. The list of human wants is endless, and the less labor we use to satisfy some of them, the more we have to start working on other ones.

But notice something: all of the things that we produce have something in common. Whether it’s food or footwear, or automobiles or apps, or manicures or massages, the point of production is to rearrange capital and labor in ways that better satisfy wants. In the language of economics, the point of production (and exchange) is to increase utility.

When we produce more cars that people wish to buy, it increases utility. When we open a new Asian fusion street food taco stand, it increases utility. When Uber more effectively uses the existing stock of cars, it increases utility. When we exchange dollars for manicures, it increases utility.

Adam Smith helped us to understand that the wealth of nations is not measured by how much gold a country possesses. Modern economics helps us understand that such wealth is not measured by how much physical stuff we manufacture. Increases in wealth happen because we arrange the physical world in ways that people value more.

Neither producing cars nor providing manicures changes the number of atoms in the universe. Both activities just rearrange existing matter in ways that people value more. That is what economic growth is about.

Misplaced Nostalgia

We’re richer because we have allowed markets to produce with fewer workers. When we are fooled into believing that “growth” is synonymous with “stuff,” we are likely to make two serious errors. First, we ignore the fact that the production of services is value-creating and therefore adds to wealth.

Second, we can easily believe that we need to “protect” manufacturing jobs. We don’t. And if we try to do so, we will not only stifle economic growth and thereby impoverish the citizenry, we will be engaging in precisely the sort of special-interest politics that those who buy the myth of manufacturing often rightly complain about in other sectors.

The path to economic growth is not to freeze into place the US economy of the 1950s. We are far richer today than we were back then, and that’s due to the remaining dynamism of an economy that can still shed jobs it no longer needs and create new ones to meet the ever-changing wants of the consumer.

The US still makes plenty of stuff, but we’re richer precisely because we have allowed markets to do so with fewer workers, freeing those people to provide us a whole cornucopia of new things to improve our lives in endless ways. We can only hope that the forces of misplaced nostalgia do not win out over the forces of progress.

Steven_Horwitz

Steven Horwitz

Steven Horwitz is the Charles A. Dana Professor of Economics at St. Lawrence University and the author of Hayek’s Modern Family: Classical Liberalism and the Evolution of Social Institutions.

He is a member of the FEE Faculty Network.

This article was originally published on FEE.org. Read the original article.