Category Archives: Technology

Don’t Cry for the Former Taxi Monopoly

23 Friday Mar 2018

Posted by in competition, monopoly, Technology, Uncategorized

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It would be odd to argue that innovation is not unequivocally positive, that its costs will exceed its benefits. Certainly there are downsides: human capital invested in the methods and technologies supplanted by an innovation is devalued, jobs may be lost, retraining becomes necessary, and even consumers must get used to new ways of doing things, which is not costless. But most of these costs are temporary. And when an innovation eliminates an incumbent’s monopoly, the former monopolist’s profit ends up back in the pockets of consumers.

People do seem to focus excessively on the downside of innovation without carefully tallying the benefits. For example, this article focuses on the loss of New York City taxi pickups since ride sharing services like Uber and Lyft began to have an impact in 2014. Mark Perry reproduces a chart from that article, which is featured above. The number of monthly taxi rides in NYC has fallen by about one-third since then, from an average of 13+ million to about 9 million in 2017. In fact, Perry reports that the market for taxi medallions has tanked since then as well, with plunging medallion prices and many medallions sold out of bankruptcy and foreclosure. But don’t be too quick to shed tears for a monopoly lost.

The same chart shows the massive upside to ride sharing, as discussed here by Warren Meyer. The size of the total market has nearly doubled, from about 13 million per month to roughly 24 million (adding the two lines together). And it was a quick transition! That’s what happens when real competition is introduced to a market: prices fall and quantity increases, with an attendant increase in the welfare of consumers. That increase always exceeds the loss suffered by the former monopolist or cartel (as the case may be), which was earning excessive profits at the expense of consumers before the innovation had a market impact. And many former taxi drivers have made the switch to ride sharing providers, and they seem to prefer it for the flexibility and autonomy it offers. Yes, the best innovations benefit workers as well as consumers.

Competition can bloom when government opens markets to competitors or when an innovation creates new alternatives for consumers. In the case of ride sharing, both were necessary. For many years, NYC restricted the supply of taxi medallions, which kept taxi fares artificially high. The formal approval of ride sharing services in the city was not uncontested. But once it was approved, consumers took advantage of superior dispatching and payment technologies enabled by their smart phones, as well as security features and rating systems, not to mention lower fares. Again, these developments have contributed massively to consumer well-being, which is ultimately the point of all economic activity. Traditional taxis have to try to keep up. The ride sharing industry has inflicted the kind of creative destruction for which consumers are quite grateful.

Rural Broadband and Federal Intrusion

06 Tuesday Feb 2018

Posted by in infrastructure, Technology

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Rural telecommunications service is often inferior in speed and quality to what is available in urban areas. This is one basis of the so-called “digital divide” in the U.S., the gaps that exist between various groups in terms of access to broadband telecom service. The urban rural “divide” is actually much smaller than the gaps that exist within urban areas, but much of the attention in public policy debates seems to focus on rural broadband availability. Telecom infrastructure is far more expensive to provide in the hinterlands due to the distances and occasional natural barriers that must be traversed. This was true before the revolution in wireless technology and still is, though wireless has reduced the severity of the tradeoff. Given the cost differential, it strikes me as unreasonable for rural users to expect the same levels of service at the same cost as urbanites. They can either pay the higher cost of provision to receive high-end service, make do with service levels that can be delivered at rates they are willing to pay, or go without. Or, if a high level of service is critical and the user is unwilling to pay the cost, they can move to a place at which it is available at lower cost.

For many years, however, public policy has been premised on the notion that rural telecom users deserve subsidies from the general user population, or from taxpayers, in order to promote equal access to basic telephony and, more recently, broadband access. The Universal Service Fund, to which telecom users pay a fee on their bills every month, is based on this premise. Its extension to broadband is a classic example of first-world luxury made necessity, now asserted to be an obligation owed by society to every individual. It is the philosophical underpinning for a huge allocation of federal funds for rural telecom spending that is now expected as part of President Trump’s infrastructure plan. 

Broadband Availability

The quality of telecom service includes speed and other factors (such as latency, which refers to data delays). Here, I’ll confine the discussion to the speed at which data can be downloaded (upload speeds are always a bit slower). Minimum speeds of 5 – 8 Mbps are required to stream HD video, according to the FCC. Higher speeds are necessary for heavy users with several devices or “running more than one high-demand application at the same time.”

Broadband speeds vary tremendously across the U.S., but it’s important to remember that speeds are increasing dramatically over time. Small towns are undoubtedly concentrated at the lower end of the distribution of speed availability at any point in time. Today, the gap between the availability of speeds in urban and rural areas is minimal up to about 10 Mbps, but it widens above that level. In fact, the speeds available via certain wireline technologies can vary significantly even within one small town (to say nothing of the significant variation within urban areas). Away from town, the availability of wireline broadband is much more limited. Fixed wireless broadband service (point-to-point) can often be deployed at speeds comparable to wireline service, and those speeds and their availability will increase with the rollout of new (5G) wireless technology. Still, that might not be an option in many isolated communities and remote locales without additional facilities like relay stations. Satellite service is often available at speeds up to 25 Mbps, in-town or out, but like wireless, it has some reliability issues.

Nevertheless, to one degree or another, broadband service is often available in rural areas, or can be available if customers are open to a range of alternative technologies (and again, available speeds are increasing). Obviously, some technologies are better suited to reaching particular areas, depending on distances and terrain. Many rural communities are finding affordable solutions that combine technologies that best leverage existing infrastructure and the natural features of the landscape.

Alms or Unfettered Choice

A reality of life in a hard-to-serve location is that broadband service will be costly… for someone. Enter the interventionists, who view “rurals” with paternalistic sympathy. Rural customers, and certain solutions for broadband delivery discussed above, are already subsidized by the federal government in some instances. And again, the Trump Administration is ready to throw more federal money at rural telecom infrastructure. These subsidies are questionable from a public finance perspective because they presume that rural areas are “underserved” on a cost-benefit basis, a case that is often dubious.

The biggest rub is that most people who live in rural areas do so by choice, a point recently articulated by Nick Gillespie. He recounts the experiences of his ancestors, who came from poor European villages to America to seek a better life. By comparison, today’s American rural population is highly privileged. Few are mired in circumstances beyond their control, contrary to the popular view. Gillespie notes that rural median income is only about 3.5% less than urban income (including suburbs), while rural homeownership rates are higher and poverty rates are lower than in urban areas. Indeed, it’s no secret that many urban elites purchase rural property to escape congested city life. Those are some of the would-be recipients of federally-funded rural broadband infrastructure.

In the end, Americans tend to live where they do by choice. Alternatives not acted upon generally reveal a preference for staying put. Some people prefer the amenities of small town or country life for any number of reasons, including a generally low cost of living. They accept the disadvantages of a rural life such as the lack of proximity to advanced emergency treatment facilities and, at least historically, less connectedness to media. Obviously, city dwellers tend to prefer urban amenities and accept the disadvantages of city or suburban life, like congestion. Those who wish to move from country to city, or vice versa, are free to do so, but they must pay the cost of the move. Likewise, it’s reasonable to expect that those desiring to transform the amenities of a place to their liking should pay the cost. Bringing almost any form of broadband infrastructure to areas with low population density is a costly proposition, but today’s rural consumers have more choices than ever before, and the speed and quality of broadband will continue to improve there without federal intervention.

Rural vs. Urban Adoption Gaps

The rural population is older on average, and it is less educated on average, so rural adoption rates are always likely to be lower. This point has been emphasized by Brian Whitacre, who has stated that the urban-rural “digital divide” might always exist to some extent. But this phenomenon is not unique to rural areas. Adoption rates within urban areas are highly variable, and the intra-urban broadband gaps by race, age, and income dwarf the urban-rural gap. That too is unlikely to change any time soon.

Federal Cash for Cronies & Conferees 

Last year, FCC Commissioner Michael O’Reilly warned of the dangers of direct federal involvement in broadband infrastructure investment. These include the market distortions caused by picking winners and losers among providers based on non-market assessments, the graft that such a process invites, discrimination in favor of high-cost fiber technology, poor coordination across government bureaucracies, and insufficient oversight leading to chronic overpayments. Sadly, however, even Ajit Pai, Chairman of the FCC and a man whose opposition to network neutrality I have applauded, has proposed more federal spending on rural telecom infrastructure. The big telecom recipients of the buildout funds don’t mind the subsidies, of course. The rural recipients of new services at artificially low cost can’t mind too much. But federal taxpayers and broadband ratepayers should question this activity. I’m hopeful that there will be a silver lining: it is likely to be private infrastructure.

Electric Cars: EPA Serves Up Green Kool-Aid To Pair With Subsidies

03 Tuesday Oct 2017

Posted by in Environment, Subsidies, Technology

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Electric cars don’t save much energy over gas-burners if at all, at least for now. Warren Meyer’s recent Coyote Blog post on this topic is aptly titled “Why Is It So Hard To Get Even Smart People To Think Clearly On Electric Vehicle Efficiency“. Meyer begins by quoting the following tweet from Google smarty Eric Schmidt, which typifies the general level of public awareness regarding the supposed energy savings from electric cars produced by Tesla and many others:

“Electric motors are the unsung hero of clean energy – the latest are 97% efficient, vs. 45% for internal combustion.“

Meyer emphasizes these major points:

  1. the efficiency with which source fuels are converted to physical work via electric and gas-burning cars is more comparable than Schmidt’s tweet suggests;
  2. differences in energy density weigh heavily in favor of fuel-burning vehicles.
  3. the so-called miles-per-gallon equivalent (MPGe) calculated by the U.S. Environmental Protection Agency (EPA) is a sham.

First, Schmidt’s tweet is accurate only if the discussion is confined to simple conversion of energy to physical work performed by the respective engines. The tweet ignores energy losses that occur prior to that conversion: electricity must be generated with far less than 100% efficiency, mainly by burning coal and natural gas. In an earlier Forbes article, Meyer compares this situation to a distorted comparison of two refrigerator installers:

“In both cases the customer lives in a fourth floor walkup. The first installer finds the refrigerator has been left on the street. He has to … haul the appliance up four flights of stairs. After that, relatively speaking, the installation is a breeze. The second installer finds his refrigerator has thoughtfully been delivered right to the customer’s door on the fourth floor. He quickly brings the unit inside and completes the installation. So who is a better installer?“

The fact is that both gas-burning and electric vehicles rely heavily on fossil fuels. And, in addition to losses in the generation process, there are other losses of energy attributable to electric cars: transmission of power involves a significant energy loss, as does charging batteries and storage itself. Meyer considers only the extra losses from production and transmission of electricity in the following comparison:

“We take 97% times 90% transmission efficiency times 50% electricity production efficiency equals 43.6%.  This is actually less than his 45% figure.  By his own numbers, the electric motor is worse….“

Meyer qualifies this comparison, as some of his assumptions are of the “best outcome” variety, but contrary to Schmidt’s assertion, gasoline and electric engines are reasonably comparable in terms of energy efficiency.

Some contend, however, that power losses in electricity transmission are much larger than the 10% Meyer assumes (see the comments on his post). Battery charging involves a loss of perhaps 20%. And a replacement for a Tesla battery, post 8-year warranty, is $8,000 – $12,000, an additional storage “cost” that is virtually non-existent for gas-powered vehicles. Beyond a certain point in its life, that cost will have an impact on a Tesla’s resale value. Moreover, some contend that the production of electric vehicles is more energy-intensive, putting them in an energy efficiency hole right from the get-go.

Meyer then takes up the notion of storage density as an explanation for why early experiments with electric cars were essentially abandoned:

“15 gallons of gasoline weighs 90 pounds and takes up 2 cubic feet. This will carry a 40 mpg car 600 miles. The Tesla Model S 85kwh battery pack weighs 1200 pounds and will carry the car 265 miles (from this article the cells themselves occupy about 4 cubic feet if packed perfectly but in this video the whole pack looks much larger). We can see that even with what Musk claims is twice the energy density of other batteries, the Tesla gets  0.22 miles per pound of fuel/battery while the regular car can get 6.7. More than an order of magnitude, that is simply an enormous difference…“

Meyer notes in the Forbes article that the EPA calculates its MPG conversion factor for electric vehicles by dividing BTU’s in a gallon of gas by the BTUs in a kilowatt hour: 33.7 KwH per gallon. Thus, the EPA multiplies an electric car’s miles per KwH by 33.7 to arrive at the so-called MPG equivalent: MPGe. But as we’ve seen above, the conversion factor ignores the generation and transmission of electricity required at the front end, and the associated energy losses that occur before a single KwH is released by a Tesla battery.

Despite what we hear from the EPA, Tesla, and other interests today, electric cars have not really overcome these disadvantages, at least not yet. The EPA’s MPGe estimates are vastly inflated. Perhaps if they were accurate, these vehicles would not have to rely so heavily on taxpayer subsidies to be competitive. By extension, the presumed environmental benefits of electric cars are nonexistent at this stage of development. I’m certain that Eric Schmidt and many other smart people are capable of understanding these nuances, but they might be too busy tripping over their politics to bother.

Initial Coin Offerings: Bits of Capital For Little Guys

27 Wednesday Sep 2017

Posted by in Capital Markets, Technology, Transaction Costs

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It’s possible for relatively small ventures to raise significant sums of capital without meeting onerous government filing requirements or venture capitalist demands and controls. This is enabled by a sort of hybrid between an initial public stock offering (IPO) and the issuance of private crypto-currency (like Bitcoin). It’s called an initial coin offering (ICO), and it is growing in importance as a funding source, primarily (but not exclusively) for applications leveraging blockchain technology. ICOs themselves are enabled by blockchain, through which a system of virtual, shared accounts is maintained in the cloud, essentially a ledger of who owns (and owes) what claims on whom (and to whom). Like stock or a venture capital investment, its value is tied to the success of the venture or project:

“When a cryptocurrency startup firm wants to raise money through an [ICO], it usually creates a plan on a white paper which states what the project is about, what need(s) the project will fulfill upon completion, how much money is needed to undertake the venture, how much of the virtual tokens the pioneers of the project will keep for themselves, what type of money is accepted, and how long the ICO campaign will run for. During the ICO campaign, enthusiasts and supporters of the firm’s initiative buy some of the distributed cryptocoins with fiat or virtual currency. These coins are referred to as tokens and are similar to shares of a company sold to investors in an Initial Public Offering (IPO) transaction.“

Scanning though a list of ICOs or “token sales” just might make your eyes glaze over. The descriptions of some of the ventures sound impossibly intangible (or ethereal… a major blockchain application platform is called Ethereum). A few relatively accessible examples: augmented reality platforms; crypto-payment mechanisms; gaming community services; software platforms for dentists and “gig” economy providers; “tokenized” real estate investment; and peer-to-peer property rental.

Crypto-currencies like Bitcoin are viewed as highly speculative by many investors; likewise, ICO tokens are very risky. In fact, the ICO “space” has been fertile ground for fraudulent activity, pyramid schemes, and “exit scams”. Investor due diligence is often no better than guesswork, unless there is already an established product or service related to the project. The last link quotes a Bitcoin expert name Andreas Antonopoulos:

“The best way to learn which ICOs are worth it is to lose money. Waiting for the wash-out. When these people promise great riches, they usually mean for themselves. If you have a viable product… build it first and they will come. I do not treat these technologies as investments but learning opportunities.“

Very comforting! Some guidance and a framework for ICO due diligence are offered here and here, respectively. More guidance is here. And here is an actual due diligence report on an ICO. Suffice it to say that ICOs are not a perfect match for my risk-return preferences!

Nevertheless, there is a lot to like about ICOs. Jeffrey Tucker writes enthusiastically about their disruptive and innovative nature. The heavily regulated world of investment banking tends to deny smaller firms access to capital, and venture capitalists have their own, frequently costly demands on start-ups. ICOs open a new, low-cost channel through which funds can be raised from investors with a greater appetite for risk. Here is Tucker:

“Why is this strategy for raising money for new ventures working so well? There is the most obvious consideration of low barriers to entry. Anyone can float them and anyone can buy them–from and to anyone in the world regardless of geography. There is a larger pool of investors that can bypass the impossiblycostly and complex national regulatory machines that have gummed up capital-raising methods in conventional finance.

It has been a long time since the financial markets have been free. That the market is mostly deregulated and decentralized, and thereby more active and effective, is itself interesting. No sector is more replete with the myths of ‘consumer protection’ than this one. …

And the solution is absolutely ingenious. It relies on decentralized markets that live on the Internet, combined with the invention of new tokens that have all the qualities of traditional money, depending entirely on supply and demand for their value, and also serve as asset titles to the protocol of the company itself.“

Unfortunately, governments and large private players do not always wish to promote decentralized markets. Quite the contrary, and in the case of ICOs, governments and regulators are already “chomping at the bit”, so to speak, to impose regulation. Warnings of ICO risks have been formally issued by the SEC, and China has placed a freeze on ICO activity pending inspections of exchanges, reports and the likely issuance of regulatory measures. Given this scrutiny, Tucker might be a bit too optimistic about the ongoing development of the ICO market. It will depend in large part on the success of efforts by participants at self-governance. That’s something financial markets have traditionally done well, despite shrill claims to the contrary. Let the investor beware!

ICOs will tend to encourage the development of competitive forces in the broader economy. And while investment banks might view the funding objectives of many ICOs as table scraps, ICOs will create more competition for those banks if the volume and breadth of “coin” funding continues to grow. ICO’s won’t find their way into my portfolio any time soon, but they show great promise as an economic development.

The Comparative Human Advantage

10 Thursday Aug 2017

Posted by in Automation, Technology, Tradeoffs

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There are so many talented individuals in this world, people who can do many things well. In fact, they can probably do everything better than most other people in an absolute sense. In other words, they can produce more of everything at a given cost than most others. Yet amazingly, they still find it advantageous to trade with others. How can that be?

It is due to the law of comparative advantage, one of the most important lessons in economics. It’s why we specialize and trade with others for almost all of ours needs and wants, even if we are capable of doing all things better than them. Here’s a simple numerical example… don’t bail out on me (!):

  • Let’s say that you can produce either 1,000 bushels of barley or 500 bushels of hops in a year, or any combination of the two in those proportions. Each extra bushel of hops you produce involves the sacrifice of two bushels of barley.
  • Suppose that I can produce only 500 bushels of barley and 400 bushels of hops in a year, or any combination in those proportions. It costs me only 1.25 bushels of barley to produce an extra bushel of hops.
  • You can produce more hops than I can, but hops are costlier for you at the margin: 2 bushels of barley to get an extra bushel of hops, more than the 1.25 bushels it costs me.
  • That means you can probably obtain a better combination (for you) of barley and hops by specializing in barley and trading some of it to me for hops. You don’t have to do everything yourself. It’s just not in your self-interest even if you have an absolute advantage over me in everything!

This is not a coincidental outcome. Exploiting opportunities for trade with those who face lower marginal costs effectively increases our real income. In production, we tend to specialize — to do what we do — because we have a comparative advantage. We specialize because our costs are lower at the margin in those activities. And that’s also what motivates trade with others. That’s why nations should trade with others. And, as I mentioned about one week ago here, that’s why we have less to fear from automation than many assume.

Certain tasks will be automated as increasingly productive “robots” (or their equivalents) justify the costs of the resources required to produce and deploy them. This process will be accelerated to the extent that government makes it appear as if robots have a comparative advantage over humans via minimum wage laws and other labor market regulations. As a general rule, employment will be less vulnerable to automation if wages are flexible. 

What if one day, as Elon Musk has asserted, robots can do everything better than us? Will humans have anywhere to work? Yes, if human labor is less costly at the margin. Once deployed, a robot in any application has other potential uses, and even a robot has just 24 hours in a day. Diverting a robot into another line of production involves the sacrifice of its original purpose. There will always be uses in which human labor is less costly at the margin, even with lower absolute productivity, than repurposing a robot or the resources needed to produce a new robot. That’s comparative advantage! That will be true for many of the familiar roles we have today, to say nothing of the unimagined new roles for humans that more advanced technology will bring.

Some have convinced themselves that a fully-automated economy will bring an end to scarcity itself. Were that to occur, there would be no tradeoffs except one kind: how you use your time (barring immortality). Superabundance would cause the prices of goods and services to fall to zero; real incomes would approach infinity. In fact, income as a concept would become meaningless. Of course, you will still be free to perform whatever “work” you enjoy, physical or mental, as long as you assign it a greater value than leisure at the margin.

Do I believe that superabundance is realistic? Not at all. To appreciate the contradictions inherent in the last paragraph, think only of the scarcity of talented human performers and their creativity. Perhaps people will actually enjoy watching other humans “perform” work. They always have! If the worker’s time has any other value (and it is scarce to them), what can they collect in return for their “performance”? Adulation and pure enjoyment of their “work”? Some other form of payment? Not everything can be free, even in an age of superabundance.

Scarcity will always exist to one extent or another as long as our wants are insatiable and our time is limited. As technology solves essential problems, we turn our attention to higher-order needs and desires, including various forms of risk reduction. These pursuits are likely to be increasingly resource intensive. For example, interplanetary or interstellar travel will be massively expensive, but they are viewed as desirable pursuits precisely because resources are, and will be, scarce. Discussions of the transition of civilizations across the Kardashev scale, from “Type 0” (today’s Earth) up to “Type III” civilizations, capable of harnessing the energy equivalent of the luminosity of its home galaxy, are fundamentally based on presumed efforts to overcome scarcity. Type III is a long way off, at best. The upshot of ongoing scarcity is that opportunity costs of lines of employment will remain positive for both robots and humans, and humans will often have a comparative advantage.

Mr. Musk Often Goes To Washington

31 Monday Jul 2017

Posted by in Automation, Labor Markets, Technology

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Elon Musk says we should be very scared of artificial intelligence (AI). He believes it poses an “existential risk” to humanity and  calls for “proactive regulation” of AI to limit its destructive potential. His argument encompasses “killer robots”: “A.I. & The Art of Machine War” is a good read and is consistent with Musk’s message. Military applications already involve autonomous machine decisions to terminate human life, but the Pentagon is weighing whether decisions to kill should be made only by humans. Musk also focuses on more subtle threats from machine intelligence: It could be used to disrupt power and communication systems, to manipulate human opinion in dangerous ways, and even to sow panic via cascades of “fake robot news”, leading to a breakdown in civil order. Musk has also expressed a fear that AI could have disastrous consequences in commercial applications with runaway competition for resources. He sounds like a businessmen who really dislikes competition! After all, market competition is self-regulating and self-limiting. The most “destructive” effects occur only when competitors come crying to the state for relief!

Several prominent tech leaders and AI experts have disputed Musk’s pessimistic view of AI, including Mark Zuckerberg of Facebook and Eric Schmidt, chairman of Google’s parent company, Alphabet, Inc. Schmidt says:

“My question to you is: don’t you think the humans would notice this, and start turning off the computers? We’d have a race between humans turning off computers, and the AI relocating itself to other computers, in this mad race to the last computer, and we can’t turn it off, and that’s a movie. It’s a movie. The state of the earth currently does not support any of these scenarios.“

Along those lines, Google’s AI lab known as “DeepMind” has developed an AI off-switch, otherwise known as the “big red button“. Obviously, this is based on human supervision of AI processes and on ensuring the interruptibility of AI processes.

Another obvious point is that AI, ideally, would operate under an explicit objective function(s). This is the machine’s “reward system”, as it were. Could that reward system always be linked to human intent? To a highly likely non-negative human assessment of outcomes? Improved well-being? That’s not straightforward in a world of uncertainty, but it is at least clear that a relatively high probability of harm to humans should impose a large negative effect on any intelligent machine’s objective function.

Those kinds of steps can be regarded as regulatory recommendations, which is what Musk has advocated. Musk has outlined a role for regulators as gatekeepers who would review and ensure the safety of any new AI application. Ronald Bailey reveals the big problem with this approach:

“This may sound reasonable. But Musk is, perhaps unknowingly, recommending that AI researchers be saddled with the precautionary principle. According to one definition, that’s ‘the precept that an action should not be taken if the consequences are uncertain and potentially dangerous.’ Or as I have summarized it: ‘Never do anything for the first time.’“

Regulation is the enemy of innovation, and there are many ways in which current and future AI applications can improve human welfare. Musk knows this. He is the consummate innovator and big thinker, but he is also skilled at leveraging the power of government to bring his ideas to fruition. All of his major initiatives, from Tesla to SpaceX, to Hyperloop, battery technology and solar roofing material, have gained viability via subsidies.

But another hallmark of crony capitalists is a willingness to use regulation to their advantage. Could proposed regulation be part of a hidden agenda for Musk? For example, what does Musk mean when he says, “There’s only one AI company that worries me” in the context of dangerous AI? His own company(ies)? Or another? One he does not own?

Musk’s startup OpenAI is a non-profit engaged in developing open-source AI technology. Musk and his partners in this venture argue that widespread, free availability of AI code and applications would prevent malicious use of AI. Musk knows that his companies can use AI to good effect as well as anyone. And he also knows that open-source AI can neutralize potential advantages for competitors like Google and Facebook. Perhaps he hopes that his first-mover advantage in many new industries will lead to entrenched market positions just in time for the AI regulatory agenda to stifle competitive innovation within his business space, providing him with ongoing rents. Well played, cronyman!

Any threat that AI will have catastrophic consequences for humanity is way down the road, if ever. In the meantime, there are multiple efforts underway within the machine learning community (which is not large) to prevent or at least mitigate potential dangers from AI. This is taking place independent of any government action, and so it should remain. That will help to maximize the potential for beneficial innovation.

Musk also asserts that robots will someday be able to do “everything better than us”, thus threatening the ability of the private sector to provide income to individuals across a broad range of society. This is not at all realistic. There are many detailed and nuanced tasks to which robots will not be able to attend without human collaboration. Creativity and the “human touch” will always have value and will always compete in input markets. Even if robots can do everything better than humans someday, an absolute advantage is not determinative. Those who use robot-intensive production process will still find it advantageous to use labor, or to trade with those utilizing more labor-intensive production processes. Such are the proven outcomes of the law of comparative advantage.

The Tyranny of the Job Saviors

17 Monday Jul 2017

Posted by in Automation, Free markets, Technology

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Many jobs have been lost to technology over the last few centuries, yet more people are employed today than ever before. Despite this favorable experience, politicians can’t help the temptation to cast aspersions at certain production technologies, constantly advocating intervention in markets to “save jobs”. Today, some serious anti-tech policy proposals and legislative efforts are underway: regional bans on autonomous vehicles, “robot taxes” (advocated by Bill Gates!!), and even continuing legal resistance to technology-enabled services such as ride sharing and home sharing. At the link above, James Pethokoukas expresses trepidation about one legislative proposal taking shape, sponsored by Senator Maria Cantwell (D-WA), to create a federal review board with the potential to throttle innovation and the deployment of technology, particularly artificial intelligence.

Last week I mentioned the popular anxiety regarding automation and artificial intelligence in my post on the Universal Basic Income. This anxiety is based on an incomplete accounting of the “seen” and “unseen” effects of technological advance, to borrow the words of Frederic Bastiat, and of course it is unsupported by historical precedent. Dierdre McCloskey reviews the history of technological innovations and its positive impact on dynamic labor markets:

“In 1910, one out of 20 of the American workforce was on the railways. In the late 1940s, 350,000 manual telephone operators worked for AT&T alone. In the 1950s, elevator operators by the hundreds of thousands lost their jobs to passengers pushing buttons. Typists have vanished from offices. But if blacksmiths unemployed by cars or TV repairmen unemployed by printed circuits never got another job, unemployment would not be 5 percent, or 10 percent in a bad year. It would be 50 percent and climbing.

Each month in the United States—a place with about 160 million civilian jobs—1.7 million of them vanish. Every 30 days, in a perfectly normal manifestation of creative destruction, over 1 percent of the jobs go the way of the parlor maids of 1910. Not because people quit. The positions are no longer available. The companies go out of business, or get merged or downsized, or just decide the extra salesperson on the floor of the big-box store isn’t worth the costs of employment.“

Robert Samuelson discusses a recent study that found that technological advance consistently improves opportunities for labor income. This is caused by cost reductions in the innovating industries, which are subsequently passed through to consumers, business profits, and higher pay to retained workers whose productivity is enhanced by the improved technology inputs. These gains consistently outweigh losses to those who are displaced by the new capital. Ultimately, the gains diffuse throughout society, manifesting in an improved standard of living.

In a brief, favorable review of Samuelson’s piece, Don Boudreaux adds some interesting thoughts on the dynamics of technological advance and capital-labor substitution:

“… innovations release real resources, including labor, to be used in other productive activities – activities that become profitable only because of this increased availability of resources.  Entrepreneurs, ever intent on seizing profitable opportunities, hire and buy these newly available resources to expand existing businesses and to create new ones.  Think of all the new industries made possible when motorized tractors, chemical fertilizers and insecticides, improved food-packaging, and other labor-saving innovations released all but a tiny fraction of the workforce from agriculture.

Labor-saving techniques promote economic growth not so much because they increase monetary profits that are then spent but, instead, because they release real resources that are then used to create and expand productive activities that would otherwise be too costly.”

Those released resources, having lower opportunity costs than in their former, now obsolete uses, can find new and profitable uses provided they are priced competitively. Some displaced resources might only justify use after undergoing dramatic transformations, such as recycling of raw components or, for workers, education in new fields or vocations. Indeed, some of  those transformations are unforeeeable prior to the innovations, and might well add more value than was lost via displacement. But that is how the process of creative destruction often unfolds.

A government that seeks to intervene in this process can do only harm to the long-run interests of its citizens. “Saving a job” from technological displacement surely appeals to the mental and emotive mindset of the populist, and it has obvious value as a progressive virtue-signalling tool. These reactions, however, demonstrate a perspective limited to first-order, “seen” changes. What is less obvious to these observers is the impact of politically-induced tech inertia on consumers’ standard of living. This is accompanied by a stultifying impact on market competition, long-run penalization of the most productive workers, and a degradation of freedom from restraints on private decision-makers. As each “visible” advance is impeded, the negative impact compounds with the loss of future, unseen, but path-dependent advances that cannot ever occur.

Embracing the Robots

03 Friday Mar 2017

Posted by in Automation, Labor Markets, Technology

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Machines have always been regarded with suspicion as a potential threat to the livelihood of workers. That is still the case, despite the demonstrated power of machines make life easier and goods cheaper. Today, the automation of jobs in manufacturing and even service jobs has raised new alarm about the future of human labor, and the prospect of a broad deployment of artificial intelligence (AI) has made the situation seem much scarier. Even the technologists of Silicon Valley have taken a keen interest in promoting policies like the Universal Basic Income (UBI) to cushion the loss of jobs they expect their inventions to precipitate. The UBI is an idea discussed in last Sunday’s post on Sacred Cow Chips. In addition to the reasons for rejecting that policy cited in that post, however, we should question the premise that automation and AI are unambiguously job killing.

The same stories of future joblessness have been told for over two centuries, and they have been wrong every time. The vulnerability in our popular psyche with respect to automation is four-fold: 1) the belief that we compete with machines, rather than collaborate with them; 2) our perpetual inability to anticipate the new and unforeseeable opportunities that arise as technology is deployed; 3) our tendency to undervalue new technologies for the freedoms they create for higher-order pursuits; and 4) the heavy discount we apply to the ability of workers and markets to anticipate and adjust to changes in market conditions.

Despite the technological upheavals of the past, employment has not only risen over time, but real wages have as well. Matt Ridley writes of just how wrong the dire predictions of machine-for-human substitution have been. He also disputes the notion that “this time it’s different”:

“The argument that artificial intelligence will cause mass unemployment is as unpersuasive as the argument that threshing machines, machine tools, dishwashers or computers would cause mass unemployment. These technologies simply free people to do other things and fulfill other needs. And they make people more productive, which increases their ability to buy other forms of labour. ‘The bogeyman of automation consumes worrying capacity that should be saved for real problems,’ scoffed the economist Herbert Simon in the 1960s.“

As Ridley notes, the process of substituting capital for labor has been more or less continuous over the past 250 years, and there are now more jobs, and at far higher wages, than ever. Automation has generally involved replacement of strictly manual labor, but it has always required collaboration with human labor to one degree or another.

The tools and machines we use in performing all kinds of manual tasks become ever-more sophisticated, and while they change the human role in performing those tasks, the tasks themselves largely remain or are replaced by new, higher-order tasks. Will the combination of automation and AI change that? Will it make human labor obsolete? Call me an AI skeptic, but I do not believe it will have broad enough applicability to obviate a human role in the production of goods and services. We will perform tasks much better and faster, and AI will create new and more rewarding forms of human-machine collaboration.

Tyler Cowen believes that AI and  automation will bring powerful benefits in the long run, but he raises the specter of a transition to widespread automation involving a lengthy period of high unemployment and depressed wages. Cowen points to a 70-year period for England, beginning in 1760, covering the start of the industrial revolution. He reports one estimate that real wages rose just 22% during this transition, and that gains in real wages were not sustained until the 1830s. Evidently, Cowen views more recent automation of factories as another stage of the “great stagnation” phenomenon he has emphasized. Some commenters on Cowen’s blog, Marginal Revolution, insist that estimates of real wages from the early stages of the industrial revolution are basically junk. Others note that the population of England doubled during that period, which likely depressed wages.

David Henderson does not buy into Cowans’ pessimism about transition costs. For one thing, a longer perspective on the industrial revolution would undoubtedly show that average growth in the income of workers was dismal or nonexistent prior to 1760. Henderson also notes that Cowen hedges his description of the evidence of wage stagnation during that era. It should also be mentioned the share of the U.S. work force engaged in agricultural production was 40% in 1900, but is only 2% today, and the rapid transition away from farm jobs in the first half of the 20th century did not itself lead to mass unemployment nor declining wages (HT: Russ Roberts). Cowen cites more recent data on stagnant median income, but Henderson warns that even recent inflation adjustments are fraught with difficulties, that average household size has changed, and that immigration, by adding households and bringing labor market competition, has had at least some depressing effect on the U.S. median wage.

Even positive long-run effects and a smooth transition in the aggregate won’t matter much to any individual whose job is easily automated. There is no doubt that some individuals will fall on hard times, and finding new work might require a lengthy search, accepting lower pay, or retraining. Can something be done to ease the transition? This point is addressed by Don Boudreaux in another context in “Transition Problems and Costs“. Specifically, Boudreaux’s post is about transitions made necessary by changing patterns of international trade, but his points are relevant to this discussion. Most fundamentally, we should not assume that the state must have a role in easing those transitions. We don’t reflexively call for aid when workers of a particular firm lose their jobs because a competitor captures a greater share of the market, nor when consumers decide they don’t like their product. In the end, these are private problems that can and should be solved privately. However, the state certainly should take a role in improving the function of markets such that unemployed resources are absorbed more readily:

“Getting rid of, or at least reducing, occupational licensing will certainly help laid-off workers transition to new jobs. Ditto for reducing taxes, regulations, and zoning restrictions – many of which discourage entrepreneurs from starting new firms and from expanding existing ones. While much ‘worker transitioning’ involves workers moving to where jobs are, much of it also involves – and could involve even more – businesses and jobs moving to where available workers are.“

Boudreaux also notes that workers should never be treated as passive victims. They are quite capable of acting on their own behalf. They often act out of risk avoidance to save their funds against the advent of a job loss, invest in retraining, and seek out new opportunities. There is no question, however, that many workers will need new skills in an economy shaped by increasing automation and AI. This article discusses some private initiatives that can help close the so-called “skills gap”.

Crucially, government should not accelerate the process of automation beyond its natural pace. That means markets and prices must be allowed to play their natural role in directing resources to their highest-valued uses. Unfortunately, government often interferes with that process by imposing employment regulations and wage controls — i.e., the minimum wage. Increasingly, we are seeing that many jobs performed by low-skilled workers can be automated, and the expense of automation becomes more worthwhile as the cost of labor is inflated to artificial levels by government mandate. That point was emphasized in a 2015 post on Sacred Cow Chips entitled “Automate No Job Before Its Time“.

Another past post on Sacred Cow Chips called “Robots and Tradeoffs” covered several ways in which we will adjust to a more automated economy, none of which will require the intrusive hand of government. One certainty is that humans will always value human service, even when a robot is more efficient, so there will be always be opportunities for work. There will also be ways in which humans can compete with machines (or collaborate more effectively) via human augmentation. Moreover, we should not discount the potential for the ownership of machines to become more widely dispersed over time, mitigating the feared impact of automation on the distribution of income. The diffusion of specific technologies become more widespread as their costs decline. That phenomenon has unfolded rapidly with wireless technology, particularly the hardware and software necessary to make productive use of the wireless internet. The same is likely to occur with 3-D printing and other advances. For example, robots are increasingly entering consumer markets, and there is no reason to believe that the same downward cost pressures won’t allow them to be used in home production or small-scale business applications. The ability to leverage technology will require learning, but web-enabled instruction is becoming increasingly accessible as well.

Can the ownership of productive technologies become sufficiently widespread to assure a broad distribution of rewards? It’s possible that cost reductions will allow that to happen, but broadening the ownership of capital might require new saving constructs as well. That might involve cooperative ownership of capital by associations of private parties engaged in diverse lines of business. Stable family structures can also play a role in promoting saving.

It is often said that automation and AI will mean an end to scarcity. If that were the case, the implications for labor would be beside the point. Why would anyone care about jobs in a world without want? Of course, work might be done purely for pleasure, but that would make “labor” economically indistinguishable from leisure. Reaching that point would mean a prolonged process of falling prices, lifting real wages on a pace matching increases in productivity. But in a world without scarcity, prices must be zero, and that will never happen. Human wants are unlimited and resources are finite. We’ll use resources more productively, but we will always find new wants. And if prices are positive, including the cost of capital, it is certain that demands for labor will remain.

Politicians and Infra-Hucksters

05 Thursday Jan 2017

Posted by in Government, infrastructure, Technology

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We’ll soon have a new president and already we’ve heard new promises of infrastructure investment. Once again, a chorus of politicians and pundits decries the woeful state of America’s road, bridges, sewers and airport terminals. Then, there are hosannas in adoration of the economic stimulus and job creation promised by large public works projects. And of course there are proposals to integrate politically-favored technologies with new infrastructure. All three rationales for a publicly-financed infrastructure program are flawed. Our infrastructure is not as inadequate as many believe; it is bad public policy to justify infrastructure decisions on the basis of the construction jobs required; and new infrastructure should not be treated as a vehicle for large-scale deployment of unproven technologies.

Ownership

Much of our nation’s infrastructure is privately owned. This includes, but is not limited to, power generation and the power grid, communication networks, many water systems and sewer systems, most rail lines, some toll roads and bridges, and some river, sea and space ports. Maintenance and upgrades to private facilities, and to some public facilities, depend on the adequacy of the rates or fees charged to users. On the other hand, the quantity and quality of publicly-owned and operated infrastructure is often left up to taxpayers rather than users. Proposals for federal infrastructure investment are largely about these public facilities, but they might also involve subsidies for the development of private infrastructure.

Crisis or Crock?

In a Heritage Foundation research report, Michael Sargent notes that the poor state of the country’s public infrastructure is wildly exaggerated:

“The notion that America’s infrastructure is ‘crumbling’ and in uniquely poor condition is not supported by data. The percentage of the nation’s bridges deemed ‘structurally deficient (not necessarily unsafe, but requiring extensive maintenance) has declined annually since 1990 and now sits at under 10 percent, well under half of what it was 25 years ago. Similarly, analyses of highway pavement quality conclude that the nation’s major roads have been steadily improving in quality and are likely in their best shape ever. Our airports and airways safely move more people and goods than those of any other nation. Overall, the U.S. ranks near the top of G-7 nations for infrastructure quality.“

The usual poster child of the infrastructure “crisis” is the nation’s transportation system, but this report from the Reason Foundation shows that those troubles are something of a myth.

Nevertheless, there are always repairs, maintenance and replacement projects to be considered, as well as possible expansion and new facilities. Infrastructural shortfalls and expansion must be prioritized, but as Sargent emphasizes, an even larger number of projects should and probably would be handled privately if not for burdensome federal regulations. In addition, an irrational mistrust of privately-operated facilities among some segments of the public creates pressure to burden taxpayers with costs, rather than users. Complaints about congestion on roads offer a case in point: the best solutions involve efficient (and positive) pricing of existing capacity, rather than continued expansion of a “free” good. The avoidance of rational solutions like efficient pricing underscores the extent to which demands for increased public investment in infrastructure are driven by hyperbole, rather than sound analysis.

It’s About the Infrastructure, Not the Jobs 

Public infrastructure projects are also pitched as effective engines of economic stimulus and job creation. Both of those claims are questionable. Most importantly, the real rationale for infrastructure investment is the value of the infrastructure itself and the needs it serves going forward. The public expense and the jobs required to produce it are cost items! This point was made recently by economist T. Norman Van Cott, who rightfully asserts that a given output is of greater benefit when its costs are low and when it requires less labor input. (Van Cott’s piece uses the Keystone pipeline as an example, a controversial private project that I find objectionable for its dependence on eminent domain actions.) The sharp distinction between creating value and creating jobs is also made here by Jerry L. Jordon and here by Steven Horowitz. Here is Horowitz:

“Creating jobs is easy; it’s creating value that’s hard. We could create millions of jobs quite easily by destroying every piece of machinery on U.S. farms. The question is whether we are actually better off by creating those jobs—and the answer is a definite no.“

Yet this is how so many infrastructure projects are pitched at the national, state and local levels. It’s also puzzling that economic stimulus is used as a rationale even when the economy is operating near its potential output. Even by the standards of traditional Keynesian economic analysis, that is the wrong time for stimulus. Infrastructure projects should be evaluated on their own merits, not on how many construction workers must be hired, or on how much of their paychecks those workers will spend. Many of them must be bid away from competing projects anyway.

The Public Investment Trough

Here’s a brief anecdote from my own experience with an “advanced” public infrastructure project. Some years ago in the region around my city, St. Louis, Missouri, transportation agencies began to install a network of electronic highway message boards to convey real-time information to drivers on road conditions, congestion, and various public service announcements. The 100+ signs in the area today are connected to operators in a central office via fiber optic cable. This type of system is used elsewhere, and it is partly funded by the federal government.

I seriously question the benefits of this system relative to cost. The signs themselves cost well in excess of $100,000 each. The fiber network is undoubtedly costly, and there are other fixed and variable system costs. The signs have an anachronistic look, vaguely the quality of old high school scoreboards. The information they provide generally adds little to what I already know (“12 minutes to I-270”). The signs are in fixed positions, so the occasional report of an accident or congestion usually comes too late to give motorists decent alternatives. The information the signs provide on road conditions is obvious. Missives such as “buckle up” are of questionable value. Before I depart on a commute, or if I have a passenger, we can consult maps and other apps on cell phones to avail ourselves of far better information. Other, more flexible technologies were outpacing the message boards even before they could be fully deployed, and the boards are still being deployed. This is a project that might have sounded brilliant to highway engineers 20 years ago, but it represented something of a luxury relative to other needs, and it still got funded. Today, it looks like waste.

The politics of infrastructure often means that the enabling legislation gets loaded with poorly-planned projects and shiny jewels to dangle before home constituencies. Legislators are so eager to demonstrate their sophistication that they fall over themselves to approve taxpayer funds for unproven but politically-favored technologies. For example, a recent post by Warren Meyer notes the technical folly of solar roads. These are unlikely to attract much private money because they represent such a monumentally stupid idea. Proponents will go after tax money instead. The same is true of ideas like Elon Musk’s tunnel boring project, for which he hopes to collect massive taxpayer subsidies. Musk claims that tunnels will eliminate road congestion, but efficient pricing would do much to eliminate this problem without tunnels, and other technologies like automated vehicles are likely to reduce congestion by the time Musk over-invests tax money in tunnel-boring equipment, roads and hyper-loops inside tunnels.

In general, taxpayers should be wary of “green infrastructure” proposals. A large number of bike lanes, pedestrian bridges and greenways sound wonderful, but they are serious cost inflators. Federal dollars are regularly squandered on charming but wasteful projects such as trolleys. Even worse are ongoing efforts to subsidize the construction of high-speed rail systems. All of these bright ideas should be resisted.

Let’s Be Rational

The country certainly has infrastructural needs, but claims that we face a crisis are greatly exaggerated. With a new administration and what are likely to be supporting majorities in both houses of Congress, the danger of rushing into big funding commitments is heightened. The sponsors of this kind of legislation will herald massive job creation, but that is incidental to the cost side of the ledger. The benefits of individual projects should be evaluated carefully in comparison to costs. Then they can be prioritized if deemed of sufficient value. Finally, large scale deployment of unproven technologies should be avoided on the public dime.

I haven’t even mentioned one very large infrastructure project that has been proposed by President-Elect Donald Trump: the border wall. I suspect that it would be easier and less expensive to solve the problem of border security using more advanced and flexible technologies, but the permanence and symbolism of a wall appeals to many of Mr. Trump’s supporters. The benefits of a wall in terms of border security and control of immigration flows are difficult if not impossible to evaluate, as are the costs to taxpayers, with Trump promising to extract some form of payment from Mexico. The wall, however, is being “sold” to the American public in emotional terms. Come to think of it, that’s how too many other infrastructure proposals are sold by politicians!

There are promising opportunities to improve the nation’s infrastructure through the private sector, where the value of projects is subject to evaluation by parties who must put “skin in the game”. This will be addressed in my next post.

Robots and Tradeoffs

31 Wednesday Aug 2016

Posted by in Living Wage, Markets, Technology

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The other day, a few colleagues were lamenting the incipient robot domination of the workplace. It is true that advances in automation and robotics are likely to displace workers in a variety of fields over the next few decades. However, the substitution of capital for labor is not a new phenomenon. It’s been happening since the start of the industrial age. At the same time, capital has been augmenting labor, making it more productive and freeing it up for higher-valued uses, many of which were previously unimagined. The large-scale addition of capital to the production process has succeeded in raising labor productivity dramatically, and labor income has soared as a consequence. That is likely to continue as increasingly sophisticated robots assume certain tasks entirely and collaborate with workers on others, even in the service sector.

Advanced forms of automation are another step in the progression of technology. The process itself, however, and the adoption of robotics, might well be hastened by public policy that pushes labor costs to levels not commensurate with productivity. I wrote about this process in “Automate No Job Before Its Time” on Sacred Cow Chips late last year. The point of that essay was that government-imposed wage floors create an incentive for automation. Because a wage floor has its impact at the bottom of the wage scale, at which workers are the least-skilled, this form of government intervention creates a regrettable and unnatural acceleration in the automation process. Other mandated benefits and workplace regulations can have similar effects.

Robert Samuelson makes the same points in “Our Robot Panic Is Overblown“. He notes the effectiveness of the U.S. economy in creating jobs over time in the presence of increasing capital-intensity. But he also warns of potential missteps, including the dangers of government activism:

“There are two dangers for the future. One is that the new jobs created by new technologies will require knowledge and skills that are in short supply, leaving unskilled workers without income and the economy with skill scarcities. … The second danger is that government will damage or destroy the job creation process. We live in a profit-making economic system. Government’s main role is to maintain the conditions that make hiring profitable. … If we make it too costly for private firms to hire (through high minimum wages, mandated costs and expensive regulations) — or too difficult to fire — guess what? They won’t hire. That’s what ought to worry us, not the specter of more robots.“

Historically, automation has actually created more jobs than it has destroyed. In general, however, the new jobs have required higher levels of skills than the jobs lost. In “Why Are There Still So Many Jobs? The History and Future of Workplace Automation“, David Autor of MIT says it this way:

“Automation does indeed substitute for labor—as it is typically intended to do. However, automation also complements labor, raises output in ways that lead to higher demand for labor, and interacts with adjustments in labor supply. … journalists and even expert commentators tend to overstate the extent of machine substitution for human labor and ignore the strong complementarities between automation and labor that increase productivity, raise earnings, and augment demand for labor.“

As with almost all automation, robots will replace workers in the most routine tasks. Tasks involving less routine will not be as readily assumed by robots. To a large degree, people misunderstand the nature of automation in the workplace. The introduction of robots often requires collaboration with humans, but again, these humans must have more highly-developed skills than a typical line worker.

Hal Varian, who is the chief economist at Google, describes the positive implications of the ongoing trend to automate (see the link in the last paragraph of this post), namely, less drudgery and more leisure:

“If ‘displace more jobs’ means ‘eliminate dull, repetitive, and unpleasant work,’ the answer would be yes. How unhappy are you that your dishwasher has replaced washing dishes by hand, or your vacuum cleaner has replaced hand cleaning? My guess is this ‘job displacement’ has been very welcome, as will the ‘job displacement’ that will occur over the next 10 years. The work week has fallen from 70 hours a week to about 37 hours now, and I expect that it will continue to fall. This is a good thing. Everyone wants more jobs and less work. Robots of various forms will result in less work, but the conventional work week will decrease, so there will be the same number of jobs (adjusted for demographics, of course).“

An extreme version of the “robot domination” narrative is that one day in the not-too-distant future, human labor will be obsolete. Automation is not limited to repetitive or menial tasks by any means. A wide variety of jobs requiring advanced skills have the potential to be automated. Already, robots are performing certain tasks formerly done only by the likes of attorneys, surgeons, and computer programmers. Robots have the potential to repair each other, to self-replicate, to solve high-order analytical problems and to engage in self-improvement. With advances in artificial intelligence (AI), might humans one day become wholly obsolete for productive tasks? What does that portend for the future of so many human beings and their dependents who, heretofore, have relied only on their labor to earn a living?

There are any number of paths along which the evolution of technology, and its relationship to workers and consumers, might play out. The following paragraphs examine some of the details:

The Human Touch: There will probably always be consumers who prefer to transact with humans, as opposed machines. This might be limited to a subsegment of the population, and it might be limited to the manufacture of certain artisan goods, such as hand-rolled cigars, or certain services. Some of these services might require qualities that are more uniquely human, such as empathy, and the knowledge that one is dealing with a human would be paramount. This niche market might be willing to pay premium prices, much as consumers of organic foods are willing to pay an extra margin. However, it will be necessary to retain the perceived quality of the human touch and to remain reasonably competitive with automated alternatives on price.

Human Augmentation: Another path for the development of technology is the cyborgization of labor. This might seem rather distasteful to current sensibilities, but it’s a change that is probably inevitable. At least some will choose it. Here is an interesting definition offered by geir.org:

“Cyborgization is the enhancement of a biological being with mechanical or non-genetically delivered biological devices or capabilities. It includes organ or limb replacements, internal electronics, advanced nanomachines, and enhanced or additional capabilities, limbs, or senses.“

These types of modifications can make “enhanced” humans competitive with machines in all kinds of tasks. The development of these kinds of technologies is taking place within the context of rehabilitative medical care and even military technology, such as powerful exoskeletons, but the advances will make their way into normal civilian life. There is also development activity taking place among extreme hobbyists underground, such as “biohackers” who perform self-experimentation, embedding magnets or electronic chips in their bodies in attempts to develop a “sixth sense” or enhanced physical abilities. Even these informal efforts, while potentially risky to the biohackers themselves, might lead to changes that will benefit mankind, much like the many great garage tinkerers who have been important to innovation in the past.

Owning Machines: Ownership of capital will take on a greater role in providing for lifetime earnings. Can the distribution of capital ever be broadened to the extent needed to replace lost labor income? There are ways in which this can occur. The first thing to note is that the transition to a labor-free economy, were that to transpire, would play out over many years. Second, we have witnessed an impressive diffusion of advanced technologies in recent decades. Today, consumers across the income spectrum hold computers in their pockets that are more than the equivalent of the supercomputers that existed 50 years ago. Today’s little computers are far more useful in many ways, given wireless internet connectivity. There are many individuals for whom these devices are integral to earning an income. Thus, the rate of return on these machines can be quite impressive. The same is true of computers, software (sometimes viewed as capital) and printers, not to mention other “modern” contrivances with income-earning potential such as cars, trucks and a vast array of other tools and hardware. Machines with productive potential will continue to make their way into our lives, both as consumers and as individual producers. This also will include value-added production of goods at home, even for use or consumption within the household (think 3D printers, or backyard “farmbots”).

Saving Constructs: Most of the examples above involve machines that require some degree of human collaboration. Of course, even the act of consuming involves labor: I must lift the fork to my mouth for every bite! But in terms of earning income from machines, are there other ways in which ownership of capital can be broadened? The first answer is an old one: saving! But there is no way most individuals at the start of their “careers” can garner a significant share of income from capital. Other social arrangements are probably necessary. One of great importance is the family and family continuity. Many who have contemplated a zero-labor future imagine a world in which there are only two kinds of actors: individuals and the state. Stable families, however, hold the potential for accumulating capital over time to provide a flow of income for their members. Other forms of social organization can fill this role, but they must be able to accumulate capital endowments across generations. Of course, in an imagined world with minimal opportunities for labor, some have concluded that society must collectively provide a guaranteed income. To indulge that view for just a moment, a world of complete automation would almost certainly be a world of superabundance, so goods would be extremely cheap. That means a safety net could be provided at a very low cost. Nonetheless, it would be far preferable to do so by distributing a minimal number of shares of ownership in machines. These shares would have some value, and to improve resource allocation, it should be the individual’s responsibility to manage those shares.

Economic Transition: The dynamics of the transition to robot-dominated production raise some interesting economic questions. Should the advancement of robotics and artificial intelligence create a massive substitution away from labor, it will be spurred by 1) massive upward shifts in the productivity of capital relative to its cost; and 2) real wages that exceed labor’s marginal productivity. There will be stages of surging demand for the kinds of advanced labor skills that are complementary to robots. The demand for less advanced labor services does not have to fall to zero, however. There will be new opportunities that cannot be predicted today. Bidding for scarce capital resources and the flow of available saving will drive up capital costs, slowing the transition. And as long as materials, energy and replacement parts have a cost, and as long as savers demand a positive real return, there will be a margin along which it will be profitable to employ various forms of labor. But downward adjustment of real wages will be required. Government wage-floor policies must be abandoned. That will not be as difficult as it might sound: the kind of automation envisioned here would have profound effects on overall costs and the supply of goods, leading to deflation in the prices of consumables. As long as real factor prices can adjust, there will almost certainly remain a balance between the amounts of capital and labor employed.

In “Robots Are Nothing New“, Don Boudreaux passes along this comment from George Selgin:

“I’ve always been aghast at finding many otherwise intelligent economists arguing as if technology had a mind of its own, developing willy-nilly, or even perversely, in relation to the relative scarcity of available factors, including labor. Only thus can it happen that labor-saving technology develops to a point where labor, instead of being relatively scarce, becomes superabundant!

The fundamental problem, I believe, is confusion of the role of technological change with that of government interference with the pricing of labor services that is among the things to which technology in turn responds. Labor-saving technology becomes associated with unemployment, not because the last is a consequence of the former, but because both are contemporaneous consequences of a common cause, to wit: minimum wage laws and other such interference that sets wage rates above their market-clearing levels.“

There is much disagreement on the implications of automation. This excellent survey of experts by the Pew Research Center contains a number of insights. Also, visit Singularity Hub for a number of great articles on automation and AI, some of which are surprising. I believe that these technologies hold a great deal of promise for humanity. The process will not take place as suddenly as some fear, but ill-conceived policies such as a mandated “living wage” would put us on an unnaturally speedy trajectory. Opportunities for the least-skilled workers will be foreclosed too soon, before those individuals can develop skills and improve their odds of establishing a life free of dependency. Too rapid an adoption of advanced automation and AI would increase the likelihood of choosing suboptimal production methods that might be difficult to change later, and it would leave little time for education and training for workers who might otherwise leverage new technologies. The benefits of automation and their diffusion can be maximized by allowing advances to take a natural course, guided by market forces, with as little interference from government as possible.