Showing posts with label Creative Destruction. Show all posts
Showing posts with label Creative Destruction. Show all posts

Friday, 13 February 2026

'The Reverse-Centaur’s Guide to AI'


"Start with what a reverse centaur is. In automation theory, a 'centaur' is a person who is assisted by a machine. You're a human head being carried around on a tireless robot body. Driving a car makes you a centaur, and so does using autocomplete.

"And obviously, a reverse centaur is a machine head on a human body, a person who is serving as a squishy meat appendage for an uncaring machine.

"Like an Amazon delivery driver, who sits in a cabin surrounded by AI cameras, that monitor the driver's eyes and take points off if the driver looks in a proscribed direction, and monitors the driver's mouth because singing isn't allowed on the job, and rats the driver out to the boss if they don't make quota.

"The driver is in that van because the van can't drive itself and can't get a parcel from the curb to your porch. The driver is a peripheral for a van, and the van drives the driver, at superhuman speed, demanding superhuman endurance. But the driver is human, so the van doesn't just use the driver. The van uses the driver up.

"Obviously, it's nice to be a centaur, and it's horrible to be a reverse centaur. There are lots of AI tools that are potentially very centaur-like, but my thesis is that these tools are created and funded for the express purpose of creating reverse-centaurs, which is something none of us want to be. ...

"Tech bosses want us to believe that there is only one way a technology can be used. ... The promise of AI – the promise AI companies make to investors – is that there will be AIs that can do your job ... Now, if AI could do your job, this would still be a problem. We'd have to figure out what to do with all these technologically unemployed people.

"But AI can't do your job. It can help you do your job, but that doesn't mean it's going to save anyone money."
~ Cory Doctorow from his speech 'The Reverse-Centaur’s Guide to Criticising AI'

RELATED:

"You don't work less. You just work the same amount or even more."
~ Frank Landymore, 'Researchers Studied What Happens When Workplaces Seriously Embrace AI, and the Results May Make You Nervous'

Thursday, 23 October 2025

"That’s the real lesson. Market power in technology is temporary because the underlying technology isn’t."

"History, it turns out, didn’t end for Big Tech. ...

"Take Alphabet, which took plenty of flak for its control of the search engine market. Dominance, sure. But forever dominance?

"OpenAI’s new AI-enabled Atlas browser directly threatens Google’s Chrome browser, as well as its search business, by replacing the URL bar with conversational AI. What Washington lawyers couldn’t do to Google, technological competition just might. ...

"The cycle endures: IBM begat Wintel, which begat Google—and now OpenAI is queuing up next. These 'forever companies' are discovering that in tech, forever lasts about 20 years, and the bill for staying that long runs to roughly half a trillion bucks a year. ...

"That’s the real lesson. Market power in technology is temporary because the underlying technology isn’t.

"Even if these winners of the past are also the winners in futurity, they will find themselves utterly transformed by the AI revolution as they provide users with new kinds of value."

Wednesday, 16 April 2025

The US 'Rustbelt' explained

"[M]any people reflexively blame trade for the decline of [what's become knows as the American] 'Rustbelt.' ...
    "But ... [d]oes trade explain the decline of steel employment from roughly 190,000 to 84,000?


If trade [alone] explained the loss of employment in steel mills, then you would expect to have seen a precipitous decline in domestic steel production. In fact, there’s been very little change in steel output during a period where employment has plunged sharply:


"[I]mports have had some impact on employment in manufacturing. But the primary cause of job loss has been automation [exacerbated by] unionisation forcing jobs to other parts of the country, rather than trade."
~ composite quote by Scott Sumner and Jon Murphy from Scott's post 'Trade as a scapegoat'

Monday, 17 March 2025

Generative 'AI' "is "90% marketing and 10% reality"

"You know what,  I think AI is really interesting and I think it is going to change the world. And at the same time I hate the hype cycle so much that I really don't want to go there.

"So my approach to AI right now is, I will basically ignore it, because I think the whole tech industry around AI is in a very bad position. It's 90% marketing and 10% reality.  

"In five years things will change. And and at that point we'll see what of the AI is getting used every day for real workloads instead of just — [you know] Chat GPT makes great demonstrations, and is being used in many areas — graphics design, things like that — but I really hate the hype cycle. And it's not just AI it's I think it's an industry problem." 
~ Linus Torvalds, creator and lead developer of Linux, interviewed at the 'Open Source Summit' in Vienna [37:34]

"Like many other technology waves, a bubble is kind of inevitable. When you pass the stage of initial excitement people would be disappointed that the technology doesn't meet a high expectation generated through the the initial excitement.

"We've seen this many times.  When the internet took off in the mid to late '90s ... and there there was a huge bubble at the end of '99 and until probably March of 2000 [when] the bubble burst. Similar for mobile internet. And this time for generative AI; I think we will also go through that kind of period too.

"But I think it's also healthy; it will wash out a lot of, you know fake innovations or, products that don't have a market fit. 
"But after that probably 1% of the companies will stand out and become huge, and will create tremendous value ... and I think we're just going through this kind of process this year."
~ Robin Li, Baidu CEO, interviewed at Harvard Business Review's 'Future of Business' conference 

Friday, 24 January 2025

"Disruption isn’t good or bad on its own. It depends on how and why it happens."


"A comment published in my local alt-weekly newspaper raised a provocative question:
'Funny, isn’t it, how when some tech billionaire 'disrupts' an industry, bankrupting businesses and putting people out of work, it’s presented as a good thing, yet when the state 'disrupts' an industry to cut back on fossil fuels pollution and other environmental damage, the disruption is presented as a problem. ...'
    "Since the comment was meant to provoke a response, let’s respond.      
    "Put simply, these market and government disruptions aren’t the same. Very different forces drive them, and they lead to very different outcomes.
    "When a firm—even a firm led by a tech billionaire—'disrupts' an established industry, it isn’t as if it happens because they waved a magic wand and changed the rules overnight. Indeed, they may not change the rules at all. ...
    "Apple didn’t need a government mandate to displace Blackberrys and flip phones. Instead, consumers willingly adopted the new technology. ... This kind of disruption is a natural part of how markets work. New ideas replace old ones when they do a better job of satisfying consumer demand. ...
    "When governments decide to 'disrupt an industry [however], it’s usually through mandates, bans, quotas, or rate regulation—rules that everyone has to follow, whether they like it or not. These disruptions aren’t about offering people better choices, but enforcing certain outcomes. ...
    "This isn’t to say that all government intervention is necessarily harmful. ... The key difference is this: market disruptions arise because they offer something better. Government disruptions often happen because someone in power thinks they know more and better than the people and firms affected by the regulations. That’s a big distinction, and it’s why we should be careful about conflating market disruptions with government disruptions. ...
    "Think of it this way: if someone invents a faster, cheaper, and cleaner way to ship goods, businesses will jump at the chance to use it. If, however, the government tells firms to switch to a more expensive and less reliable method, the reaction will be very different. One is a choice; the other is a mandate. And that’s why people view them differently.
    "Disruption isn’t good or bad on its own. It depends on how and why it happens."

~ Eric Fruits from his post 'The Disruption Double Standard'

Monday, 18 March 2024

"The real bosses, in the capitalist system of market economy, are the consumers."


"The real bosses, in the capitalist system of market economy, are the consumers. They, by their buying and by their abstention from buying, decide who should own the capital and run the plants. They determine what should be produced and in what quantity and quality. Their attitudes result either in profit or in loss for the enterpriser. They make poor men rich and rich men poor.
    "The consumers are merciless. They never buy in order to benefit a less efficient producer and to protect him against the consequences of his failure to manage better. They want to be served as well as possible. And the working of the capitalist system forces the entrepreneur to obey the orders issued by the consumers.
    "The consumers are no easy bosses. They are full of whims and fancies, changeable and unpredictable. They do not care a whit for past merit. As soon as something is offered to them that they like better or that is cheaper, they desert their old purveyors. With them nothing counts more than their own satisfaction. They bother neither about the vested interests of capitalists nor about the fate of the workers who lose their jobs if as consumers they no longer buy what they used to buy."
~ Ludwig Von Mises from his 1944 publication Bureaucracy

Sunday, 17 March 2024

The Economics of the AI Revolution



In part two of this three-part series on so-called Artificial Intelligence (AI), our guest poster Per Bylynd acknowledges that even though AI is arguably not an intelligence—at least not in the sci-fi sense—it does not mean that it is unimportant or lacks implications. The technological advance that it represents is nothing short of revolutionary and will have far-reaching implications for both the economy and society.

The Economics of the AI Revolution

by Per Bylund

In a recent article, we briefly summarised what it is that we today call artificial intelligence (AI). Whereas these technologies are certainly impressive and may even pass the Turing test, they are not beings and have no consciousness. Thus, this is neither the time nor the place to discuss philosophical issues of how to define a true or full AI—an artificial general intelligence—and whether we should recognize AI software legally as a person (after all, corporations are).

Economically speaking, AI as technology, whether it is used for entertainment or in production, is a good. As Carl Menger taught, what makes something a good is that it (whatever it may be) has the ability to satisfy a human need, that it must be recognised as such, and that a person—the consumer—has or can gain command over it to satisfy those actual needs. In other words, it must be scarce (there is less of it than we can use to satisfy wants) and understood as valuable (because we believe it can satisfy wants). AI certainly fits the criteria.

The economic system's stages of production form a 'production structure':
increasingly higher order of capital goods producing consumer goods, over time ...

AI as a Consumption Good


When people entertain themselves by “discussing” with AI (try, for example, Windows Copilot) or generating quirky images using DALL-E (try it here), it is a good of the lowest order—a consumption good. As such, the economic consequences are limited to the effect this has on consumer behavior. But this may in turn have a significant impact on production.

Some consumption goods revolutionise the economy and society. Examples of such goods include the automobile (from the introduction of Ford’s Model-T) and the smartphone (starting with Apple’s iPhone). The former disrupted transportation and infrastructure and facilitated just-in-time manufacturing and urban sprawl, just to mention a few effects. The latter changed everything from how we bank to how we travel.

The point here is that as consumer behaviour changes, the production structure follows along. For example, with the broad adoption of the smartphone, paper map production has all but disappeared; whereas, digital location services and intelligent logistics have seen enormous growth and development. And change leads to more change because entrepreneurs build on, add to, and challenge the new discoveries.

AI has the potential to change consumer behaviour well beyond its designed functionality. Exactly how and in what ways remains to be seen. But it is safe to say that it has potential. (On the other hand, many goods have had potential to disrupt but didn’t leave a mark.) For example, we may see people produce their own stories, songs, images, and even movies. So perhaps, instead of relying on television or Netflix and Hollywood producers, we’ll make movie night into a make-a-movie night where we watch content we have generated and that fits us perfectly.

AI as a Higher-Order Good


As a tool and thus a good of a higher order, AI has already had an effect and promises to disrupt several trades. Because it is very effective at producing and presenting content, including translating and editing texts, content-related professions are threatened by AI. This includes journalists and copyeditors, as AI programs can write and edit faster than humans. After all, anyone can ask AI to produce or edit a text. Students already use AI to spice up or improve their papers—or let AI write them from scratch.

AI is similarly affecting photographers and illustrators. It only takes a minute to have DALL-E produce a new image exactly as directed, or to have an AI algorithm remove or add things in a picture you snapped. Whereas, having an illustrator create something takes much longer (not to mention the cost).

Programmers and system developers are also seeing the effects of AI, which has no problem both generating new code (without bugs!) or checking already written code. Legacy software written in dated and ineffective programming languages can be run through an AI to make the coding more efficient—and converted into a modern language.

AI is also affecting academia. Why have an instructor tell students about some subject matter instead of letting AI do it? After all, the AI can easily present content in a way that the student prefers. For example, make a movie to explain, say, biology or chemistry in an entertaining way. And it can answer all kinds of questions without ever getting bothered or cranky—and it has nowhere else to be. In research, AI can analyse data more effectively and run thousands of different regressions on data to find something that is significant and important (so-called HARKing, which is very poor research practice—but who will know?). It can write up the paper too, with citations and everything, in just seconds.

AI as Production Capital


All of this means AI can and will be used in production. In fact, it already is and we have only started to see the effects.

AI is best categorised as capital, which is used to make labor more productive (more value output per hour of labor invested) through facilitating more roundabout (but more effective) production structures. Capital goods in general have one (or both) of two functions: it makes existing production processes more effective by increasing productivity, or it makes possible types of production that were not previously possible. AI checks both boxes.

We have already seen how people working in several types of content-based professions can easily be made more productive or replaced entirely by AI. It can also do things that people may have been unable to do—or never thought of doing. This of course can cause so-called technological unemployment as people lose their jobs because AI can do them better (and cheaper). But this is a dystopian way of describing something quite normal and highly useful: that we relieve people, with all their ingenuity, from comparatively simple tasks so that they can create much more value elsewhere.

It is of course problematic for any person losing their source of income, but it is highly beneficial to consumers (and therefore society at large) that these (and other) professions are “creatively destroyed.” The economic point of employment is not to provide people with an income so they can pay taxes (although politicians seem to think so) but to produce goods that can satisfy consumer wants—to make our lives better. Just like there are very few stable boys or buggy-whip producers since the automobile revolution, the future will see fewer people doing news reporting, copyediting, or coding.

Note also that this revolution is not nearly as sudden and disruptive as it may at first seem: the news media, for example, have for many years reduced the number of journalists doing reporting (most outlets nowadays merely republishing standard articles from AP or Reuters). And software development already uses increasingly effective development environments that correct and predict commands, allow for WYSIWYG and drag-and-drop development, and can debug code and suggest solutions to bugs.

AI is only another step in this process. But the threat is greatly exaggerated. We tend to overestimate the impact of technology in the short term but underestimate it in the long term.

Limitations to Overcome


There is a problem, however, and it has to do with how large language models work and what responses they generate. When used in a setting that is strictly rules-based, such as in computer programming, the AI “understanding” of code can greatly improve the productivity of coders (or replace them). AI will not introduce bugs in software unless the specifications are incomplete or contradictory, and it will not make errors.

The same is true for AI’s language generation: it draws from large troves of text data and has a good “understanding” for how humans use language. But there are no rules-based ways by which it can distinguish fact from fiction. Instead, AI draws from what statistically is more likely to be a human-sounding response. For this reason, it produces content that can be entirely wrong.

For example, I asked AI to summarise the content of my 2022 economics primer, How to Think about the Economy. [A highly recommended free book - Ed.] Since it has access to the text, it did a pretty good job summarising what is in the book. But it also added comments on content that is typically in economics books but that is not in the primer (such as equilibrium theory, perfect competition, and mathematical equations). The AI is correct that economics books typically discuss such things and thus it is statistically probable that my primer would do the same. But it doesn’t.

There is a difference between statistical probability and truth. We will look at this problem and the potential threat that AI poses to human society in the next article.

=> CONTINUED IN PART THREE: 'Separating Information from Disinformation'
PART ONE: 'Understanding the AI Revolution'
Per Bylund is the Associate Professor of Entrepreneurship and Johnny D. Pope Chair in the School of Entrepreneurship in the Spears School of Business at Oklahoma State University.
He is the author of three full-length books: How to Think about the Economy: A PrimerThe Seen, the Unseen, and the Unrealized: How Regulations Affect our Everyday Lives; and The Problem of Production: A New Theory of the Firm. He has edited The Modern Guide to Austrian Economics and The Next Generation of Austrian Economics: Essays In Honor of Joseph T. Salerno.
His article first appeared at the Mises Institute blog.


Monday, 11 March 2024

Compare and contrast


"When it comes to the TV business," says TV interviewer Jack Tame, "it’s clear the traditional economic models are no longer fit for purpose."

"When it comes to the CD business," says CD maker Jack Vame, "it’s clear the traditional economic models are no longer fit for purpose."

"When it comes to the typewriter business," says typewriter maker Jack Wame, "it’s clear the traditional economic models are no longer fit for purpose."

"When it comes to the horse-drawn carriage business," says horse-drawn carriage manufacturer Jack Xame, "it’s clear the traditional economic models are no longer fit for purpose."

"When it comes to the steam-engine business," says steam-engine manufacturer Jack Yame, "it’s clear the traditional economic models are no longer fit for purpose."

"When it comes to the hand-loom business," says weaver and hand-loom manufacturer Jack Zame, "it’s clear the traditional economic models are no longer fit for purpose."

Tuesday, 11 October 2022

The Economy Is a Process Not a Factory





A lot of people could learn a lot about economics from reading this short-ish guest post by Per Bylund, an excerpt from his new book 'How to Think About the Economy' -a little book (with a free download) written to accomplish something very big: economic literacy. It begins with the idea that the consumer is sovereign...

How to Think About the Economy: The Economy Is a Process Not a Factory

Guest post by Per Bylund

To help us understand what is going on in the economy, what is important is not the types and number of goods that sit on store shelves. It is why and how they got there.

To answer this question is not simply a matter of pointing out that they arrived by truck last week, because that only tells us about how they were transported to the store. This doesn’t tell us anything about all the steps that had to happen to make them available. And there is a lot that takes place before a good is available to buy in a store. Every good you see on a store shelf was originally thought of by someone; it was designed and then produced. The production process was developed, all its operations and the necessary machines and tools engineered, and then the process was overseen and managed. Someone had to think about how best to market and sell the goods to the store and solve the problems of logistics. And someone had to finance the whole thing.

In other words, to understand everything we see around us, including everything that we take for granted, we must recognise that the economy is not a state but a process. Looking at a snapshot of the economy tells us very little—if anything—about how it works but can instead mislead us and allow us to jump to conclusions. Without recognising the process, it can be easy to conclude that a specific situation is inefficient, wrong, or unfair and also to think that it is easy to improve upon it, right the wrong, or calculate an outcome that is less unfair.

For example, if we only look at a portion of the picture, it can seem unfair that the storekeeper has so many goods and other people have none. But looking at the full picture, we realise that these goods are not the shopkeeper’s to use but are merely goods in progress to their final use with consumers. The shopkeeper is not a hoarder—and has little “economic power.” The shopkeeper is providing the service of making those goods available to consumers, and depends on their willingness and ability to buy the goods to make ends meet. Without the store, the customers would need to buy each and every item in bulk from a wholesaler. The storekeeper offer us the convenience of many goods in one place.

A Coordinated Process


There is more to the economy than the production of a good that we see sitting on a store shelf. Its production was possible because there exist other processes and production. For example, a producer of chocolates usually does not produce the cocoa, sugar, or flavouring, that is in them. Chocolate producers rarely produce the machines they use to make the chocolate; the building where they produce, package, and prepare the chocolate for shipping; or the power-plant to supply them with electricity. It is not enough to say that chocolate is produced by only one person before it ends up on store shelves. In fact, chocolate producers could not make their chocolate if there were not already producers of the necessary ingredients already available.

In sum, the chocolate producer is part of a much longer supply chain that fills the gaps in the overall production process, itself comprising lots of producers and specific production processes. Together, these processes—often carried out by different businesses—make a very long chain of operations that step by step produces the specific good from the “original factors” that were available to us at the dawn of time: nature and labour power. Someone cleared the land to grow sugar cane or cocoa. Someone decided to provide transportation services, which was possible because someone else had already paved roads and manufactured trucks. Those trucks could be manufactured because someone was already producing steel, plastics, and everything else trucks are made of. The steel could be produced because others were running mines and smelting plants. If we were to list all the things that allow the chocolate maker to make chocolate, it would be a long list indeed. Even small things like the coffee that the chocolate factory workers drink on their break is the result of a long supply chain involving thousands of people in many countries. What is important is not to map out all the things that are involved in making a certain good, but to understand that the economy is all of these things working together.

It would appear it takes many businesses and workers to produce the long line of goods intended only to make that chocolate, that you can then purchase. That is true in some sense—they were all involved and all of them were necessary for the final good to be made available to you. But the miner of course has no idea that the ore taken out of the mine last year will become the steel that is smelted into a part of a machine that produces the chocolate you can buy in the shop today. The coffee bean grower had no idea that his coffee would fuel workers in a faraway country making a special type of chocolate that you are considering buying. In the same way, the shopkeeper doesn’t need to know anything about all of the steps that have taken place before there can be a supply of chocolate to stock on the store shelves.

The point is that the elaborate, complex production process that produces any good you see in the store is not the design of anyone in particular. The overall process is not coordinated around producing specific goods. No one made a blueprint or flow chart specifying all of these steps and their order. No one estimated how much rock needs to be crushed to produce the iron ore that eventually is used in the production of chocolate. What drives the process is not the creation of goods, but the creation of value for you as a consumer.

Throughout the economy, businesses compete with each other to produce as much value as possible by producing and offering goods. We think of this as competition, the producing of the same or similar items: competing chocolate makers, for example. But that is a very narrow view. Chocolate makers indirectly compete for the steel that is used in their chocolate machines with all the other uses for which other producers use steel. The same with sugar. And workers. And the coffee that the workers drink, maybe some of whom even use sugar in their coffee.

Why does some of the steel produced go to the machines that produce chocolate? The answer to this question will be discussed at length in chapter 5 of my book. Right now, it is sufficient to note that all businesses are involved in producing, directly or indirectly, goods that are intended for consumers. Which means that almost all of a country's wealth is being used to produce, directly or indirectly, goods that are intended for consumers. All of production has this aim, whether or not producers of steel, for example, know exactly what their steel is going to be used for. They do not know and don’t need to. It is the value that consumers see in those goods when produced that determines how much they will be willing to pay. That payment is what justifies the businesses’ investments and expenses throughout the economy. Consequently, what indirectly coordinates what all businesses do—and how they do it—is their expectation that they are contributing to providing consumers with valued goods.

Continuous Innovation


It is important to note that competition goes beyond the businesses and production that we see. Yes, those businesses compete. As we saw above, they compete both directly and indirectly by trying to buy the same inputs and trying to sell to the same customers. However, this is a much too limited view of competition that leaves out what is important in the longer term. Business do not only compete with existing businesses, but also compete with businesses that do not yet exist. And the businesses that exist are the outcome of such competition that already took place.

If this sounds strange, it is because we are used to looking at the economy as a state—a snapshot—and not as a process. Those businesses that exist today are the survivors of a competitive weeding out process that has already taken place. It is because these businesses were better—more productive, offered higher-quality goods, etc.—that they are currently in business. And they will stay in business only if they continue to be better than the competition. They need to outperform not merely the other surviving businesses, but also those businesses that have not yet been started or that are still developing or refining their products. This includes businesses producing goods that do not yet exist, and may not even have been imagined yet, but that could provide consumers with more value than the goods already available.

The innovation of new goods, production techniques, materials, organisations and so on fundamentally changes how an economy produces goods and what goods are produced. In the era when horse and buggy was the standard means of transportation, there was certainly competition between stables and transportation businesses just like there was competition between buggy manufacturers. But if we look only at those businesses, we could never explain how they were replaced and outcompeted by businesses that brought on the age of automobiles. Today, there are very few businesses profitably producing buggies. The reason is that automobiles provided consumers with greater value.

Seen from the perspective of consumers, horse buggies were valued goods right up until there were affordable automobiles. The automobiles provided greater value, which is why they undermined the profitability of and ultimately destroyed horse-and-buggy businesses. This is sometimes referred to as “creative destruction” that makes the core of economic development: older and less value-creative production gives way to new and more value-creative production.

When we recognise that this creative destruction is real and that it places constant pressure on businesses to innovate and reinvent themselves so as not to be replaced, we realise that it is impossible to understand the economy as anything other than a process. Economies evolve and unfold over time; they reinvent themselves. Competition is not merely the rivalry between two or more businesses producing and selling similar things, but the constant pressure to serve consumers better—both present and future. History is full of successful and influential businesses, many of them considered too big and “powerful” to compete with. Most of them are long gone and forgotten because someone figured out how to produce more value for consumers.

Continuous Uncertainty


Although the economy—and especially the market economy—is best understood as a process, it would be a mistake to think of it as a production process. We briefly addressed this above, but it is worth reiterating and elaborating on. An economy comprises production processes, but those production processes are themselves selected: they are the ones that survived the constant weeding out of less value-creative production. Many of those surviving production processes will, in turn, be weeded out as new and more value-creative ones are attempted.

A production process consists of the operations that make specific outputs from specific inputs. It is typically, but not necessarily, designed and organised. We can think of it as what happens within a factory. The exact operations that take place within the factory can change over time and so can the people and machines. Most of the parts are in some sense replaceable. Sometimes the factory itself is repurposed, but what makes it a factory is the same: it transforms inputs into outputs. The factory doesn’t manufacture outputs in general—it is not a magical production machine. A factory produces clearly-defined outputs (goods) using an engineered production process that requires specific inputs in precisely-defined quantities.

None of this applies to the economy as a process! The “output” of an economy is value, in the form of consumer goods, but the actual goods that are produced change over time—and so does their respective value. The process of an economy is not its actual productions—the production processes and goods produced—but the continuous selection of those productions that provide the greatest value to consumers. Computers replaced typewriters and revolutionised office work flow, just as the automobile replaced the horse and buggy because it provided consumers with more highly valued transportation. Most all of our goods today, and the processes that produce them, will sooner or later be replaced by better, more valuable ones.

We cannot say which products will be attempted and even less which ones will be successful. Production, in other words, is always uncertain. It requires some form of investment before the value of the output can be known. This value is ultimately experienced by consumers when using goods, the expectation of which determines what price they are willing to pay. But it is not enough that goods satisfy wants—they have to do so, in the eyes of the consumer, to a greater degree than what he or she expects from other goods available. Only then will the consumer buy that product.

The number and variety of goods available depends on the imaginativeness of entrepreneurs and investors. In other words, the entrepreneur, who imagines, envisions, and aims to create new valued goods, drives the evolution of production in the economy. The consumer is then, after the fact, the judge of which entrepreneurs’ productions are of sufficient value to be bought—and at what prices. The consumer, in other words, is sovereign and, through buying and not buying, determines which entrepreneurs earn profits and which entrepreneurs suffer losses.


Per Bylund is associate professor of entrepreneurship & Records-Johnston Professor of Free Enterprise in the School of Entrepreneurship at Oklahoma State University. Visit his website at PerBylund.com.
This excerpt first appeared at Mises.Org.
Download his book here.

Wednesday, 16 December 2015

Save the obsolete industries: Like taxis!

Bastiat comes to Sydney with a sharp, smart, focussed protest against their taxi industry’s call for protection against modern ridesharing technology like Uber . . .



Meanwhile, in New Zealand, “the Ministry of Transport proposals around Uber could have been worse…”

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    ”We ask you to be so good as to pass a law…”
    The Petition of the Candlemakers, 1845 – Frederic Bastiat, BASTIAT.ORG
  • “Change is painful, particularly when it is forced by disruptive competition… The problem the Luddites failed to recognise at the time is that the introduction of new technology is almost always irreversible, and that is as true now as it was in the industrial revolution.
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    Innovate or Die – Adisson Wiggin, NOT PC
  • “Ridesharing is accomplishing what decades of policy papers failed to achieve.”
    Uber’s Peaceful Revolution – Jeffrey Tucker, THE FREEMAN

Thursday, 15 October 2015

Playboy goes non-nude

Skin is no longer in at Playboy magazine, meaning you really will have to start reading it for the articles. An early one could ask what Joseph Schumpeter might think. Guest poster Sarah Skwire has the answer already …

The Creative Destruction of Nudity in Playboy Magazine

Playboy has finally found a new way to shock and titillate America.

imageThe magazine has announced that it will no longer feature full nudity. Instead, it will be moving toward a partially clad, cheesecake pin-up style.

It wouldn’t be everyone’s first reaction—particularly if you were a teenage boy in the days before the internet---but when I heard the news, I immediately wondered what the great economist Joseph Schumpeter would have made of it. Schumpeter, who famously sought to become the world’s greatest economist, lover, and horseman — and admitted to failure only when it came to horses — would surely have followed the news from Playboy with interest.

But Schumpeter’s interest would have been as professional as it was prurient. As Michael Miller reports in the Washington Post,

By routinising provocative images of naked women, Playboy inevitably created a market for its own rivals. In the 1970s, the magazine went head to head with newcomer Penthouse, whose more graphic female nudity pushed Playboy to become more extreme as well…. Playboy eventually toned down its photos in an attempt to re-establish its “girl next door” reputation, but the company would face even stiffer competition [ahem] with the rise of the Internet. Suddenly, graphic porn wasn’t just available online. It was free. Playboy’s circulation, which had peaked at 5.6 million in 1975, plummeted to its present tally of 800,000.

The disappearance of full nudity from Playboy magazine is, in other words, a perfect example of Schumpeter’s concept of creative destruction. Schumpeter wrote that the “essential fact about capitalism” is creative destruction — the process “that incessantly revolutionises the economic structure from within, incessantly destroying the old one, incessantly creating a new one.”

Just as buggy-whip makers were driven out of business by the rise of the automobile and manufacturers of wall phones were driven out by the rise of the cell phone, traditional purveyors of pornography can be driven out by new technology. In fact, pornography may be a business that is particularly sensitive to technological progress. Though it’s a disputed claim, many technology magazines have claimed that the superior availability of naughty movies on VHS lead to the demise of BetaMax. The legal scholar Peter Johnson argued in 1996 that

Throughout the history of new media, from vernacular speech to movable type, to photography, to paperback books, to videotape, to cable and pay-TV, to “900” phone lines, to the French Minitel, to the Internet, to CD-ROMs and laser discs, pornography has shown technology the way.

The two decades since Johnson’s article have only proven him more correct. With an ever increasing amount of free nudity available online in ways that allow users to precisely calibrate the images they find in order to satisfy their individual desires, the images in Playboy began to seem increasingly quaint and out of date. The desire for pictures of fresh-faced girls next door — filled by Playboy in ersatz and airbrushed fashion — is, presumably, easily filled by the actual girls next door on Snapchat and Tinder. Playboy needed to get creative and change, or be destroyed by its competitors’ creativity.

But while pornography’s critics have long argued that the proliferation of electronic porn is producing a race to be the most hardcore and the most shocking, Playboy has chosen to innovate by going in the opposite direction. This strikes me as a brilliant marketing move.

Item imageWhile the move may well have been done with an eye to skirting China’s laws about pornography, with today’s hipster fascination on reviving the old ways of doing just about everything — from canning food, to home sewing, to vintage dances, fashions, hairstyles, and so on — Playboy’s nod to its status as the 1950s source for cheeky photos is a smart one. Rather than smelling faintly of mothballs, the magazine may manage to rebrand itself into something as desirable as a pair of vintage horn-rims or a fixed-wheel bicycle.

People who worry about innovation and excessive technology and the loss of the good old days should take heart, in other words. The relentless drive of the market, the need to satisfy new customers with different preferences and constraints, the constant push for new technology, and the desire for competitors to stand out in the marketplace, has produced — as its latest innovation — good old-fashioned cheesecake.

Schumpeter would be proud. But I’m betting he would still be retaining his internet connection …


Sarah SkwireSarah Skwire is a senior fellow at Liberty Fund, Inc.
She is a poet and author of the writing textbook Writing with a Thesis.
A version of this post appeared at The Freeman.

Tuesday, 22 September 2015

Are Markets Immoral? On Popes, Pencils, and Chicken Sandwiches

Trade and production are deeply ethical
Guest post by Don Boudreaux

Are markets moral? This oft-asked question will be asked even oftener when Pope Francis visits the U.S. next week.

It’s one thing to conclude that markets are immoral after learning how markets work and what life would be like in their absence. Such a conclusion is intellectually defensible because it would reflect an informed – if, in my view, bizarre – value judgment.

But the conclusion that markets are immoral typically reflects – as it surely does in the case of Pope Francis – utter ignorance of the logic and history of markets (and of the logic and history of governments).

Markets are deeply moral, for they, compared to all feasible alternatives,

  • are driven by voluntary choices rather than by diktats;
  • concentrate the costs and the benefits of each choice as closely as possible on the individual who makes that choice;
  • allow for great diversity of choices and life-styles;
  • create mass flourishing; raising the living standards of the poor far more than they raise the living standards of the rich;
  • transform the manifestations of economic hardship from literal starvation to much-less severe financial distress; (losing a job or a home, however agonizing, is far better than losing your and your children’s lives);
  • ‘churn’ over time the rich and poor; dynastic wealth, while not unknown in markets, is less common than unthinking and historically uninformed people suppose, and such wealth is always exposed to the forces of creative destruction;
  • bring together literally hundreds of millions of strangers from around the globe and from many different cultures and religious faiths into a peaceful and cooperative productive effort.

This last point is illustrated most famously by Leonard Read’s justly celebrated 1958 essay “I, Pencil.,” and the recent video illustration (See more related videos here.)

It’s also illustrated by Thomas Thwaites’s effort to build a toaster. (I calculated that the typical British worker can earn in a mere 21 minutes of work enough income to purchase a toaster that is vastly superior to the one that Mr. Thwaites spent nine months building.)

Another illustration of this profoundly important insight was shared with me this morning by Bruce Berlin. It involves one man’s effort to make a chicken sandwich from scratch. To make this one sandwich took six months of this man’s work and additional expenses out-of-pocket of $1,500. (And, judging from the sandwich-maker’s reaction, the quality of the final product was mediocre.)

Far too many professors, pupils, politicians, pundits, preachers, priests, and popes screech and preach about matters on which they are ignorant. They should instead look with open minds on the great system of social cooperation that is the global market economy.

They will see the marvellous cooperation of hundreds of millions of strangers working cooperatively and productively in ways that greatly enrich each other’s lives; they’ll see also the unleashing as never before of human creativity, dignity as never before for ordinary people and their peaceful pursuits, and mass, live-giving and life-sustaining flourishing.


Donald J. Boudreaux

 

Donald Boudreaux is a professor of economics at George Mason University, a former FEE president, the author of Hypocrites and Half-Wits, and a prolific blogger at the indispensable Cafe Hayek.
A version of this post appeared at
Anything Peaceful.

Monday, 10 August 2015

The Unseen Consequences of Zero-Interest-Rate Policy

Guest post by Ronald-Peter Stöferle

The Unseen Consequences of Zero-Interest-Rate Policy

In a dynamic economy, an action not only triggers just one effect, but always an entire series of different consequences. While the cause of the first effect is easily recognizable, the other effects often occur only later and no such recognition occurs. Frédéric Bastiat described this phenomenon in 1850 in his ground-breaking essay “What Is Seen and What is Not Seen”:

In the economic sphere, an act, a habit, an institution, a law produces not only one effect, but a series of effects. Of these effects, the first alone is immediate; it appears simultaneously with its cause; it is seen. The other effects emerge only subsequently; they are not seen; we are fortunate if we foresee them …
    There is only one difference between a bad economist and a good one: the bad economist confines himself to the visible effect; the good economist takes into account both the effect that can be seen and those effects that must be foreseen. Yet this difference is tremendous; for it is almost always the case that when the immediate consequence is favourable, the later consequences are disastrous, and vice versa. Hence it follows that the bad economist pursues a small present good that will be followed by a great evil, while the good economist pursues a great good to come, at the risk of a small present evil.

A similar phenomenon can be seen with the consequences of artificially suppressed interest rates and monetary stimulus: in the short term, they appear to have positive effects, the long term effects are, however, disastrous. If one studies these processes closely, it becomes clear that the underlying problems cannot be solved by global zero-interest-rate policy (ZIRP), but that this instead undermines the natural selection process of the market.

With artificial stimulus like ZIRP, we only end up with a situation in which governments, financial institutions, entrepreneurs, and consumers who should actually be declared insolvent all remain on artificial life support.

In line with Bastiat’s thoughts, numerous fatal long-term consequences of zero-interest-rate policies can be identified, but are generally ignored:

  • Conservative investors by nature come under increasing pressure with respect to their investments and take on excessive risks in light of the prospect that interest rates will remain low in the long term. This leads to capital misallocation and the emergence of bubbles.
  • The sweet poison of low interest rates leads to massive asset price inflation (stocks, bonds, works of art, real estate).
  • Structurally too low interest rates in industrialized nations due to carry trades lead to the emergence of asset price bubbles and contagion effects in emerging markets.
  • Changes in human behaviour patterns occur, due to continually declining purchasing power. While thrift is increasingly mutating into a relic of the past, taking on debt comes to be seen as rational.
  • As a result of the structurally-too low level of interest rates, a “culture of instant gratification” is created, which is among other things characterised by the fact that consumption is financed with credit instead of savings. The formation of wealth becomes steadily more difficult.
  • The destruction of capital in at least two ways: One, bubbles encourage longer-term investments which cannot be profitably completely and will be abandoned before providing any benefit to the economy; and, two, increased consumption is financed by reduced or even negative real savings
  • The medium-of-exchange and unit-of-account functions of money increases in importance, while its role as a store of value declines dramatically.
  • Incentives for fiscal discipline decline.
  • Zombie banks are created: Low interest rates prevent the healthy process of creative destruction. Banks are enabled to roll over potentially non-performing loans practically indefinitely and can thus lower their write-off requirements.
  • Newly created money is neither uniformly nor simultaneously distributed amongst the population. This results in a permanent transfer of wealth from later receivers to earlier receivers of newly created money.

Conventional monetary policy — that is, the promotion of credit creation by lowering interest rates — reaches its limits once the “zero-bound” is reached. In order to continue the spiral of stimulus, “unconventional monetary policy” becomes ever more important. The multitude of “new-fangled” monetary policy measures is seemingly only limited by the imagination of central bankers, whereby recent years have shown that central bankers can be extraordinarily creative. That this phenomenon is nothing new, is inter alia shown by this observation by Ludwig von Mises in 1922:

But an increase in the quantity of money and fiduciary media will not enrich the world. … Expansion of circulation credit does lead to a boom at first, it is true, but sooner or later this boom is bound to crash and bring about a new depression. Only apparent and temporary relief can be won by tricks of banking and currency. In the long run they must lead to an all the more profound catastrophe…


Ronald-Peter Stoeferle is a Chartered Market Technician (CMT) and a Certified Financial Technician (CFTe).
A version of this article appeared at the Mises Daily.

Wednesday, 8 July 2015

Uber-disruptive technology is irreversible

“In capitalist reality as distinguished from the textbook picture, it is not [so-called perfect]
competition that counts but the competition from the new commodity, the new technology, the
new source of
supply, the new type of organization ... competition which ... strikes not at the
margins of the
profits and the outputs of the existing firms but at their foundations and their very lives.”
- Joseph Schumpeter on capitalism’s creative destruction

Guest post by Jason Krupp

Rapid technological change is more often than not a painful thing, littered with the bodies of those firms and industries that failed to adapt - just ask Kodak, Betamax and former mobile phone giant Nokia.

That painful change is brewing again, this time in the form of the next generation of transport technologies, such as Uber. For those unfamiliar with the firm, it effectively lets anyone become a taxi driver using their own car through a proprietary mobile payment and passenger matching system.

It is a disruptive change that threatens taxi industries across the globe, and has been greeted by protests and anger from the incumbents. French taxi unions and drivers, for example, recently brought Paris and much of France to a standstill to demonstrate against Uber by blocking roads, tipping cars, burning tires [and scaring Courtney Love, not an easy thing to do – Ed.].

To some degree, the rage is understandable when you consider that the protestors have made significant investments in taxi medallions, vehicles and businesses in the belief that the revenue model is stable and they could earn a profit. Readers might also feel inclined to topple cars in the streets of Paris if they had paid NZ$385,000 for a taxi licence, only to have their lunch stolen by some uppity tech firm from California.

But equally understandable is the rage of customers, who have had to bear the brunt of ever rising taxi fares. New Zealand is no exception, with the unenviable distinction of being the most expensive place in the world to catch a taxi, despite being partially deregulated in 1989. Indeed, Christchurch, Queenstown, Wellington and Auckland all rank in the world’s top 10 for least-affordable taxi fares. These fares compare poorly with ridesharing, according to an admittedly limited comparative test by Consumer NZ, which showed Uber rides in Wellington were significantly cheaper than taxis.

The price differential is explained to some degree by over-regulation, such as the one introduced by then-Transport Minister Steven Joyce that taxis must have a camera installed to prevent crime. Another is the requirement that metered taxi operators have 24-hour despatchers. The effect of both these rules and others had been to limit competition by tipping the market in favour of large well-capitalised taxi operators and against smaller incumbents, to the detriment of passengers.

This safety issue is an important one because the industry is likely to argue it vociferously, as the New Zealand Taxi Federation has done with the use of smart phones as a metering device. (Under New Zealand law, Uber drivers must now offer a fixed price for a trip). Industry groups are likely to push the case that if taxis need to install cameras by law, then Uber drivers must do so too.

Yet this line of attack fails to consider the nature of the Uber service.

Passengers have to pre-register to make use of the service, as do drivers, since Uber is the financial intermediary between the two.

imageIf a driver assaults a passenger, or vice versa, Uber knows who both of them are and can pass this information on to the police as appropriate. And since all payments are electronic and no cash changes hands, it greatly diminishes the chance of drivers picking up passengers who plan to do a runner, or whose motivation is to rob the driver. As such, the requirement to install a camera is unlikely to significantly boost safety, but it will raise the barrier to entry for Uber drivers. [The primary motivation for existing industry groups to push for this – Ed.]

The Cato Institute recently published a paper that looked into whether ridesharing apps like Uber and competitor Lyft are safe in the US. The paper found that while there were legitimate safety concerns for passengers, they applied to the industry as a whole; the vetting procedures used by Uber and Lyft were found to be superior to those of the taxi firms. Likewise, Uber and Lyft drivers enjoyed significant advantages over their taxi compatriots as far as crime was concerned because they operated on a cashless-basis.

Should the safety argument fail, the next line of attack against Uber is likely to focus on the nature of employment. Uber’s opponents and labour groups argue that the firm flouts labour laws, and avoid paying employee entitlements by classing drivers as independent contractors. Political commentator Gordon Campbell recently made this exact point, citing a recent case where the Labor Commissioner of California ruled that Uber drivers were indeed employees. That the same decision would be reached here is less clear due to a broader test employed by the Employment Relations Authority, as was recently noted by employment lawyer Susan Hornsby-Geluk. Indeed, David Farrar has also made the point that if Uber were such a bad deal for drivers, why are most of them taxi drivers?

Change is painful, particularly when it is forced by disruptive competition.

This is indisputable.

The Cato paper notes that there are legitimate issues with the ridesharing business model, notably around privacy and insurance coverage. However, it concludes that these are relatively minor, and “[t]he appropriate response is to modernise and rationalise the out-dated and heavy-handed [taxi] restrictions, not extend restrictions to the ride sharing industry”.

The challenge, according to Cato, is that many lawmakers and regulators have not adapted their thinking to include the sharing economy, which “fits awkwardly into existing regulatory frameworks governing taxis.”

Luckily in New Zealand we are not overly burdened with this problem. [So far Ed.] Speaking at the International Transport Forum in Germany recently, Transport Minister Simon Bridges promised that his government would apply the lightest regulatory burden possible on ridesharing operators. The light-touch approach has also been endorsed by David Seymour, Act Party MP and Parliamentary Under-Secretary to the Minister for Regulatory Reform.

Both should be praised for correctly reading the direction of technological change, judging that it benefits consumers, and supporting it. To do otherwise would be Luddite-ism, a term that takes its name from 19thcentury workers who fought the introduction of productivity-enhancing technologies in the textile industry by destroying them.

The problem the Luddites failed to recognise at the time is that the introduction of new technology is almost always irreversible, and that is as true now as it was in the industrial revolution.

Yes the change can be painful, but fighting the inevitable only prolongs the suffering.


Jason Krupp is a research fellow at the New Zealand Initiative. 

Follow him on Twitter.

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Thursday, 4 June 2015

Innovate or Die

Image result for addison wiggin Guest post by Addison Wiggin, who catches up with futurist Juan Enriquez...


“The problem with the French is… they don’t have a word for ‘entrepreneur.’” – rumoured to have been uttered by President George W. Bush to British Prime Minister Tony Blair
“I get up in the morning,” our friend Juan Enriquez told us during an interview one day late in 2011, “I read the paper and see all the bad things going on with the debt, deficits, wars and the economy. Then, I step into a lab and see all the potential breakthroughs the scientists I work with are about to unveil.”
We began following Enriquez with a camera crew not long after the I.O.U.S.A. project had run its course. Among other eccentric pursuits, Juan was a development economist who ran the Urban Development Corp. in Mexico City and later helped finance the mapping of the human genome with Craig Venter.
During I.O.U.S.A., we kept hearing the tandem refrain from men like Buffett, Volcker and Rubin  “Deficits don’t matter” and “We’ll grow our way out of this.” We wanted to learn from entrepreneurs on the front lines… who, in fact, is going to help grow our way out of the debt crisis?
Enriquez’s greatest fear at the time was that the political world would overwhelm the entrepreneurs — and the financial markets they depend on — before their discoveries could get put to good use. In fact, Juan’s bipolar view — debt, deficits and war versus inspiration, innovation and achievement — inspired the theme of this year’s Agora Financial Investment Symposium in Vancouver: “The Tale of Two Americas.”
“When you look at the world,” a Symposium regular said, expressing a similar sentiment,
you see one contradiction after another. Cyber warfare, rogue political leaders, random acts of terror, the militarization of police and expanded surveillance equipment and drone usage make for a future resembling an Orwellian nightmare.    But at the same time, you can track breath-taking technological breakthroughs in oil exploration and new technologies that will revolutionize our health care, computing, automobiles, communication and agriculture… the many items we use every day.
[Call it “The Hank Rearden Effect,” perhaps.]
China is one such contradiction. For years in these pages, we’ve focused on their economic rise, despite having questions about its sustainability. But despite their economy slowing recently, China’s innovators are making leaps and bounds. It’s estimated that this year, the country will graduate 17,000 postdoctoral fellows in science, math and engineering. That’s a 60% increase from 2010.
They’re building supercomputers that rival IBM’s and 3-D printers big enough to print air wings. The Chinese also granted 217,000 patents last year — a 26% increase in the past two years alone.
German economist Joseph Schumpeter famously observed a similar bipolar disorder during the great credit bust of the 1930s.
Lack of outlets, excess capacity, complete deadlock,” he wrote in Capitalism, Socialism and Democracy:
in the end regular recurrence of national bankruptcies and other disasters — perhaps world wars from sheer capitalist despair — may confidently be anticipated. History is as simple as that.    The opening up of new markets, foreign or domestic, and the organisational development from the craft shop and factory to such concerns as U.S. Steel illustrate the same process of industrial mutation — if I may use that biological term — that incessantly revolutionises the economic structure from within, incessantly destroying the old one, incessantly creating a new one. This process of Creative Destruction is the essential fact about capitalism.
In his day, Schumpeter witnessed the triumphs of radio, frozen food, the gas stove and the traffic light — all technologies we currently take for granted. But his observations of “how” these innovations come about remain as relevant today as ever.
Existing structures and all the conditions of doing business [Schumpeter concluded] are always in a process of change. Every situation is being upset before it has had time to work itself out. Economic progress, in a capitalist society, means turmoil.
In an ideal world, entrepreneurs, innovators, the risks takers, would be free to embrace the turmoil at their own peril. But no… in the real world, we have the meddlers, the world improvers, (ahem) bureaucrats.
Yet two years on, the tug of war between government meddlers and entrepreneurs hasn’t been clearly decided one way or the other. And so, determined to find answers, we pick up our investigation where we left off last year.
Over the next few days, we’ll examine the forces of innovation… the countervailing forces emanating from the paper pushers in Washington, D.C., and the net effect both will have on your wealth, the job you hold, the way you raise your children, where you live, how long you live and much, much more.
To kick us off, we feature an edited excerpt from a seminal conversation I had with Juan Enriquez on camera back in 2011. Read on:  
[This article originally appeared in The Daily Reckoning]