Schumpeter
The age of smart machines
Brain work may be going the way of manual work
May 25th 2013 |From the print edition<file:///printedition/2013-05-25>

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IN HIS first novel, “Player Piano” (1952), Kurt Vonnegut foresaw that industry 
might one day resemble a “stupendous Rube Goldberg machine” (or as Brits would 
say, a Heath Robinson contraption). His story describes a dystopia in which 
machines have taken over brain work as well as manual work, and a giant 
computer, EPICAC XIV, makes all the decisions. A few managers and engineers are 
still employed to tend their new masters. But most people live in homesteads 
where they spend their time doing make-work jobs, watching television and 
“breeding like rabbits”.

It is impossible to read “Player Piano” today without wondering whether 
Vonnegut’s stupendous machine is being assembled before our eyes. Google has 
designed self-driving cars. America’s military-security complex has pioneered 
self-flying killing machines. Educational entrepreneurs are putting 
enlightenment online. Are we increasingly living in Vonnegut’s dystopia? Or are 
the techno-enthusiasts right to argue that life is about to get a lot better?

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Related topics

  *   Massachusetts Institute of 
Technology<file:///topics/massachusetts-institute-technology>
  *   McKinsey Global Institute<file:///topics/mckinsey-global-institute>

Two things are clear. The first is that smart machines are evolving at 
breakneck speed. Moore’s law—that the computing power available for a given 
price doubles about every 18 months—continues to apply. This power is leaping 
from desktops into people’s pockets. More than 1.1 billion people own 
smartphones and tablets. Manufacturers are putting smart sensors into all sorts 
of products. The second is that intelligent machines have reached a new social 
frontier: knowledge workers are now in the eye of the storm, much as 
stocking-weavers were in the days of Ned Ludd, the original Luddite. Bank 
clerks and travel agents have already been consigned to the dustbin by the 
thousand; teachers, researchers and writers are next. The question is whether 
the creation will be worth the destruction.

Two academics at MIT’s Sloan Business School, Erik Brynjolfsson and Andrew 
McAfee, have taken a surprisingly Vonnegutish view on this: surprising because 
management theorists like to be on the side of the winners and because MIT is 
one of the great strongholds of techno-Utopianism. In “Race Against the 
Machine”, their 2011 book, they predict that many knowledge workers are in for 
a hard time. There is a good chance that technology may destroy more jobs than 
it creates. There is an even greater chance that it will continue to widen 
inequalities. Technology is creating ever more markets in which innovators, 
investors and consumers—not workers—get the lion’s share of the gains. The 
Brynjolfsson-McAfee thesis explains one of the most puzzling aspects of the 
modern economy: why so much technological creativity can co-exist with 
stagnating wages and mass unemployment.

A new study by the McKinsey Global Institute (MGI), “Disruptive technologies: 
Advances that will transform life, business and the global economy”, shines a 
light on this problem and produces lots of examples of the way the internet is 
revolutionising knowledge work. Law firms are using computers to search through 
masses of legal briefs and precedents. Financial companies are using computers 
to monitor news feeds and make financial bets on the basis of the information 
they uncover. Hospitals are using robots to perform keyhole surgery.

The rate of progress, says MGI, is set to increase dramatically thanks to a 
combination of Moore’s law and the melding of three technologies: machine 
learning, voice recognition and nanotechnology. Tiny computers will be able to 
perform jobs once regarded as the peculiar preserve of humans: most 
middle-class people will soon have access to electronic personal assistants (to 
book flights or co-ordinate diaries) and wearable physicians (to keep a 
permanent watch on their vital organs).

MGI puts a typically positive spin on all this. It argues that being spared 
relatively undemanding tasks will free knowledge workers to deal with more 
complex ones, making them more productive. It argues that the latest wave of 
innovation will be good for both entrepreneurs and consumers. Small businesses 
will be able to act like giant ones, because cloud computing will give them 
access to huge processing power and storage, and because the internet destroys 
distance. Innovators will be able to test their new ideas with prototypes, then 
produce them for niche markets. Consumers captured much of the economic gains 
created by “general-purpose technologies” like steam and electric power, 
because they stimulated competition as well as increasing efficiency. MGI 
reckons that so far they have captured two-thirds of the gains from the 
internet.

Techno-backlash

Nevertheless, MGI’s study has some sympathy with Messrs Brynjolfsson and 
McAfee. It worries that modern technologies will widen inequality, increase 
social exclusion and provoke a backlash. It also speculates that public-sector 
institutions will be too clumsy to prepare people for this brave new world. 
Policymakers need to think as hard about managing the current wave of 
disruptive innovation as technologists are thinking about turbocharging it. For 
one thing, the purpose of education systems, and the skills and knowledge that 
they impart, will need to be rethought: “chalk and talk” instruction will be 
done best by machines, freeing teachers to become more like individual coaches 
to their pupils.

Knowledge-intensive industries will also have to rethink cherished practices. 
For a start, in an age in which information and processing power are 
ubiquitous, they will have to become less like guilds, whose reflexes are to 
regulate supply and restrict competition, and more like mass-market businesses, 
whose instinct is to maximise the customer base. Innovation will disrupt many 
areas of skilled work that have so far had it easy. But if we manage them well, 
smart machines will free us, not enslave us.

Economist.com/blogs/schumpeter<http://www.economist.com/blogs/schumpeter>

>From the print edition: Business<file:///printedition/2013-05-25>
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