
The world of modern finance is increasingly dependent on automated trading, with sophisticated computer algorithms finding and exploiting pricing irregularities that are invisible to ordinary traders.
by W. Brian Arthur
Business processes that once took place among human beings are now being executed electronically. They are taking place in an unseen domain that is strictly digital. On the surface, this shift doesn’t seem particularly consequential—it’s almost something we take for granted. But I believe it is causing a revolution no less important and dramatic than that of the railroads. It is quietly creating a second economy, a digital one…
With the coming of the Industrial Revolution—roughly from the 1760s, when Watt’s steam engine appeared, through around 1850 and beyond—the economy developed a muscular system in the form of machine power. Now it is developing a neural system. This may sound grandiose, but actually I think the metaphor is valid. Around 1990, computers started seriously to talk to each other, and all these connections started to happen. The individual machines—servers—are like neurons, and the axons and synapses are the communication pathways and linkages that enable them to be in conversation with each other and to take appropriate action.
Is this the biggest change since the Industrial Revolution? Well, without sticking my neck out too much, I believe so. In fact, I think it may well be the biggest change ever in the economy. It is a deep qualitative change that is bringing intelligent, automatic response to the economy. There’s no upper limit to this, no place where it has to end. Now, I’m not interested in science fiction, or predicting the singularity, or talking about cyborgs. None of that interests me. What I am saying is that it would be easy to underestimate the degree to which this is going to make a difference.
I think that for the rest of this century, barring wars and pestilence, a lot of the story will be the building out of this second economy, an unseen underground economy that basically is giving us intelligent reactions to what we do above the ground. For example, if I’m driving in Los Angeles in 15 years’ time, likely it’ll be a driverless car in a flow of traffic where my car’s in a conversation with the cars around it that are in conversation with general traffic and with my car. The second economy is creating for us—slowly, quietly, and steadily—a different world.
Of course, as with most changes, there is a downside. I am concerned that there is an adverse impact on jobs. Productivity increasing, say, at 2.4 percent in a given year means either that the same number of people can produce 2.4 percent more output or that we can get the same output with 2.4 percent fewer people. Both of these are happening. We are getting more output for each person in the economy, but overall output, nationally, requires fewer people to produce it. Nowadays, fewer people are required behind the desk of an airline. Much of the work is still physical—someone still has to take your luggage and put it on the belt—but much has vanished into the digital world of sensing, digital communication, and intelligent response.
Physical jobs are disappearing into the second economy, and I believe this effect is dwarfing the much more publicized effect of jobs disappearing to places like India and China.
There are parallels with what has happened before. In the early 20th century, farm jobs became mechanized and there was less need for farm labor, and some decades later manufacturing jobs became mechanized and there was less need for factory labor. Now business processes—many in the service sector—are becoming “mechanized” and fewer people are needed, and this is exerting systematic downward pressure on jobs. We don’t have paralegals in the numbers we used to. Or draftsmen, telephone operators, typists, or bookkeeping people. A lot of that work is now done digitally. We do have police and teachers and doctors; where there’s a need for human judgment and human interaction, we still have that. But the primary cause of all of the downsizing we’ve had since the mid-1990s is that a lot of human jobs are disappearing into the second economy. Not to reappear.
Seeing things this way, it’s not surprising we are still working our way out of the bad 2008–09 recession with a great deal of joblessness.
There’s a larger lesson to be drawn from this. The second economy will certainly be the engine of growth and the provider of prosperity for the rest of this century and beyond, but it may not provide jobs, so there may be prosperity without full access for many. This suggests to me that the main challenge of the economy is shifting from producing prosperity to distributing prosperity. The second economy will produce wealth no matter what we do; distributing that wealth has become the main problem. For centuries, wealth has traditionally been apportioned in the West through jobs, and jobs have always been forthcoming. When farm jobs disappeared, we still had manufacturing jobs, and when these disappeared we migrated to service jobs. With this digital transformation, this last repository of jobs is shrinking—fewer of us in the future may have white-collar business process jobs—and we face a problem.
The system will adjust of course, though I can’t yet say exactly how. Perhaps some new part of the economy will come forward and generate a whole new set of jobs. Perhaps we will have short workweeks and long vacations so there will be more jobs to go around. Perhaps we will have to subsidize job creation. Perhaps the very idea of a job and of being productive will change over the next two or three decades. The problem is by no means insoluble. The good news is that if we do solve it we may at last have the freedom to invest our energies in creative acts.

It is tempting to think of the globalisation of the labour market as a zero-sum game in which Mrs Kamal in Pakistan is benefiting at the direct expense of Ms Vetter in America. But economists point out that such calculations suffer from the “lump of labour fallacy”—the belief that there is only a fixed amount of work to go round. A better explanation, they say, is the theory of comparative advantage, one of the least controversial ideas in economics, which suggests that free markets make the world better off because everyone can concentrate on doing what they are best at.
All the same, a global labour market will not make every individual in the world better off: there will be losers as well as winners, and they may put up stiff resistance to change if the losses prove too painful. For instance, total global GDP could double if all barriers to the free movement of labour were removed, argues Michael Clemens in a recent paper, “Economics and Emigration: Trillion-Dollar Bills on the Sidewalk?”. Yet the political implications of such mass migration make it improbable that governments, especially in rich countries, would unconditionally open their doors.
Compared with previous bursts of global integration and technological upheaval, the changes now taking place in the labour market may produce an unusually large number of losers, partly because they have coincided with a particularly deep recession and partly because they are happening exceptionally fast. The priority for policymakers must be to keep the number of losers as small as possible.

TYLER COWEN
It’s not just that Silicon Valley and the Pentagon and our universities give the United States a big edge with smart machines. The subtler point is this: The more the world relies on smart machines, the more domestic wage rates become irrelevant for export prowess. That will help the wealthier countries, most of all America. This logic works on both sides. America is using less labor in manufacturing, but China is too, even as its manufacturing output is rising. The fact that Chinese manufacturing employment is falling along with ours means that both our higher wages and their lower wages are becoming less relevant for the location of manufacturing decisions. The less manufacturing has to do with labor costs and relative wage levels, the greater the comparative advantage of the United States…
The new export-based prosperity may not translate into higher wages for everyone, or even most people, in the United States. Skilled laborers who work with smart machines or even hold advanced managerial jobs will continue to make big gains, as the numbers have been showing for some time. Capital will do well too, especially if it is geared toward export success. The class of elite labor will grow, and protest against the “one percent” will seem anachronistic. Expect something more like, “We are the ninety percent.” That will still fall well short of the median, so significant segments of the American workforce are likely to continue suffering falling real wages, even in a time of rising export prowess.
As the number of American jobs in manufacturing has fallen dramatically, it is often forgotten that American manufacturing output has continued to rise, even during some slow times. In the past decade, the flow of goods coming from U.S. factories has gone up by a third as capital has increasingly become a greater share of input over labor.
Kiva makes warehouse operations significantly faster, of course, but it’s more than that: using the robots means that Amazon can pack more stuff into a given space, they don’t have to waste lots of money on heating or air conditioning or lighting, they don’t have to spend lots of time training people, and they don’t have to worry nearly as much about theft. Robots don’t need overtime, healthcare, or 401(k).
That’s all great news for Amazon, but they’re buying Kiva, not just hiring them. We can only assume that it’s obvious to this gigantic warehouse company that Kiva Systems are the future of warehousing in general, and they want a piece (or all the pieces) of the action.

In the battle between man and machine, the robots just scored a victory in the world of e-commerce.
Amazon.com Inc. AMZN +0.25% said Monday it is buying Kiva Systems Inc., which makes robots used in shipping centers. The $775 million acquisition comes as Amazon continues its heavy spending on fulfillment centers to help fuel its business.
While the Seattle-based retailer has used some automation in its fulfillment centers in the past, it has depended heavily on people, hiring thousands during the holidays to cruise through football-field sized warehouses to pick items from shelves.
With Kiva, Amazon is now looking at a more automated approach. The robots are already used by two websites that Amazon has acquired: shoe-retailer Zappos.com and baby-products site Diapers.com.
Kiva’s robots bring the product shelves to a warehouse worker, rather than a worker walking to the shelves. The robots locate the items in a customer’s order, move the products around warehouses and help get packed boxes to a final loading dock.
The robots—squat, orange cubes—zip around shipping centers loaded with inventory shelves stacked several feet into the air above them. The robots can be tailored to each particular client, with customized software.

The world of modern finance is increasingly dependent on automated trading, with sophisticated computer algorithms finding and exploiting pricing irregularities that are invisible to ordinary traders.
Meanwhile, Forbes—one of financial journalism’s most venerable institutions—now employs a company called Narrative Scienceto automatically generate online articles about what to expect from upcoming corporate earnings statements. Just feed it some statistics and, within seconds, the clever software produces highly readable stories. Or, as Forbes puts it, “Narrative Science, through its proprietary artificial intelligence platform, transforms data into stories and insights.”
The real threat comes from our refusal to investigate the social and political consequences of living in a world where reading anonymously becomes a near impossibility. It’s a world that advertisers—along with Google, Facebook, and Amazon—can’t wait to inhabit, but it’s also a world where critical, erudite and unconventional thinking may become harder to nurture and preserve.
It’s understandable that politicians say this: it was America’s experience in the past. In the years following World War II, we built a solid middle class on the foundation of high-paying, mostly unionized jobs in the manufacturing sector. But those days are history. Today, automation and computers have eliminated millions of jobs, and private-sector unions have been crushed. On top of that, in a globalized economy where capital can hire the cheapest labor anywhere, it’s no longer credible to believe that America’s middle class can prosper from labor income alone. So why don’t we pay everyone some non-labor income — you know, the kind of money that flows disproportionally to the rich? I’m not talking about redistribution here, I’m talking about paying dividends to equity owners in good old capitalist fashion. Except that the equity owners in question aren’t owners of private wealth, they’re owners of common wealth. Which is to say, all of us.
This is the disturbing thought that, sluggish business cycles aside, America’s current employment woes stem from a precipitous and permanent change caused by not too little technological progress, but too much. The evidence is irrefutable that computerised automation, networks and artificial intelligence (AI)—including machine-learning, language-translation, and speech- and pattern-recognition software—are beginning to render many jobs simply obsolete.
This is unlike the job destruction and creation that has taken place continuously since the beginning of the Industrial Revolution, as machines gradually replaced the muscle-power of human labourers and horses. Today, automation is having an impact not just on routine work, but on cognitive and even creative tasks as well. A tipping point seems to have been reached, at which AI-based automation threatens to supplant the brain-power of large swathes of middle-income employees.
That makes a huge, disruptive difference. Not only is AI software much cheaper than mechanical automation to install and operate, there is a far greater incentive to adopt it—given the significantly higher cost of knowledge workers compared with their blue-collar brothers and sisters in the workshop, on the production line, at the check-out and in the field.
Imagine a plot to undermine the government of the United States, to destroy much of its capacity to do the...
![]()
A Climate Change Call to Action
- by Al Gore
In the wake of an election season that cost upward of $6 billion and a historic...
Over the weekend, Romney debuted an ad in Ohio showing cars...