Norbert Wiener was at MIT legend. He taught at the Institute for a long time (after getting his PhD from Harvard at age 17), where he epitomized the absent-minded professor. Of the legion of perhaps-apocryphal stories about him, my favorite was related by fellow mathematician Howard Eves,

When he and his family moved to a new house a few blocks away, his wife gave him written directions on how to reach it, since she knew he was absent-minded. But when he was leaving his office at the end of the day, he couldn’t remember where he put her note, and he couldn’t remember where the new house was. So he drove to his old neighborhood instead. He saw a young child and asked her, “Little girl, can you tell me where the Wieners moved?” “Yes, Daddy,” came the reply, “Mommy said you’d probably be here, so she sent me to show you the way home”.

In 1949, the year after he published his landmark work Cyberneticsthe New York Times asked him to contribute an essay about “what the ultimate machine age is likely to be” to the Sunday edition of the paper. Due to an unfortunate series of events the essay never ran. Until Monday, when the Times finally ran it along with an introduction by John Markoff.

It’s a pretty amazing document — way ahead of its time. Wiener thought the ultimate machine age was upon us in 1949 so he was a bit early, but as Paul Saffo reminds us, “never mistake a clear view for a short distance.”

Wiener foresaw robots:

Machines much more closely analogous to the human organism are well understood, and are now on the verge of being built. They will control entire industrial processes and will even make possible the factory substantially without employees.

The instrumentation of just about everything:

In these the ultra-rapid digital computing machines will be supplemented by pieces of apparatus which take the readings of gauges, of thermometers, or photo-electric cells, and translate them into the digital input of computing machines.

and machine learning:

The possibility of learning may be built in by allowing the taping [i.e. programming] to be re-established in a new way by the performance of the machine and the external impulses coming into it, rather than having it determined by a closed and rigid setup, to be imposed on the apparatus from the beginning.

And he laid down a great ground rule for how far this can go:

Roughly speaking, if we can do anything in a clear and intelligible way, we can do it by machine.

But he was not an uncritical cheerleader for technology. Like me, he was concerned about how workers would fare as technology kept racing ahead, and in his essay he offered a plainly-worded caution, and a direct challenge to everyone who’s not worried about technological unemployment. I’ll close this post with his words, and with an appeal to all of us to take them seriously.

These new machines have a great capacity for upsetting the present basis of industry, and of reducing the economic value of the routine factory employee to a point at which he is not worth hiring at any price. If we combine our machine-potentials of a factory with the valuation of human beings on which our present factory system is based, we are in for an industrial revolution of unmitigated cruelty.

We must be willing to deal in facts rather than in fashionable ideologies if we wish to get through this period unharmed. Not even the brightest picture of an age in which man is the master, and in which we all have an excess of mechanical services will make up for the pains of transition, if we are not both humane and intelligent.

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An interesting article by James R. Hagerty in the Journal yesterday tells how lots of manufacturers, including Raytheon, GE, and Harley are installing tons of gear to monitor every element of their processes, from the speed of fans in a paint booth to the number of times a screw is turned as it’s being inserted.

These are all examples of instrumentation, which we can very loosely define as ‘adding sensors so that more aspects of a process can be measured as it’s being executed.’ An instrumented process throws of mountains of data, which can be used for three main purposes.

The first is making automatic real-time adjustments. As the WSJ article describes, “At Harley-Davidson Inc.’s newly renovated motorcycle plant in York, Pa., software keeps a constant record of the tiniest details of production, such as the speed of fans in the painting booth. When the software detects that fan speed, temperature, humidity or some other variable is drifting away from the prescribed setting, it automatically adjusts the machinery.”

The second main purpose is after-the-fact analysis of all the data to troubleshoot, find improvement opportunities, etc.. The WSJ again: “Recently, by studying the data, Harley managers determined that installation of the rear fender was taking too long. They changed a factory configuration so those fenders would flow directly to the assembly line rather than having to be put on carts and moved across an aisle.”

And finally, instrumentation is hugely valuable for control; it can go a long way toward ensuring that only the right people are involved, and that they’re using only the right parts and tools. At Raytheon, “The system is designed to prevent any operator from performing a process for which he or she isn’t certified. Before using a sealant, the operator must flick the tube under a bar-code reader so a computer can verify it is exactly the right sealant. The computer also knows exactly how much torque should be applied by any wrench or screwdriver. And operators aren’t permitted to use the wrong wrench.”

The upshot of all this, as Erik Brynjolfsson and I highlighted in our Harvard Business Review article on Big Data last fall, is that stuff that was formerly an art becomes a science, and guesswork is replaced by precision. So ‘Instrument, analyze, tune’ has become the modern manufacturing mantra.

In all ways except one, this is great news. It’s great because it increases the quality and consistency of the products we buy, and lowers their prices (rework and waste are expensive for manufacturers, and instead of eating the costs they pass them on to us). I want the things I use to be perfectly crafted. The way to accomplish this today is, paradoxically enough, not by employing more craftsmen, but instead relying ever more heavily on machines and data.

The one issue here has to do with those craftsmen; we just don’t need them as much, or need as many of them, in an instrumented world. As the article points out, “Semiconductor and other high-tech companies were early adopters” of the ’Instrument, analyze, tune’ mantra; the precision required by their processes didn’t permit any alternatives. And their factories now aren’t full of people. In fact, they look very much like something out of a science fiction movie, with a few people in weird clothes walking down hallways full of humming machinery. As I watched this video, I kept waiting for the alien to jump out, or the virus to spread.

So while I’m thrilled about Big Data coming to manufacturing (and soon to just about all other sectors of the economy), I’m concerned that it will increase and accelerate the ‘hollowing out‘ of the workforce already underway.

Do you share my mix of optimism and pessimism here? If you see things differently, why? Leave a comment, please, and let us know.

 

 

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New Jobs Data, Same Old Story…

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A couple months back I drew a graph of the employment rate, workforce participation rate, and employment-to-population ratio and argued that the unemployment rate was going down not because people were going back to work in huge numbers, but instead because they were dropping out of the labor force. I said: The simplest and, I [...]

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Technology’s Real Benefits (Hint: They’re Not Economic)

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A couple recent articles, one in the WSJ by Dennis Berman and one in the NYT by Eduardo Porter, have raised the question of why all the amazing technologies we have these days aren’t showing up more strongly in the productivity and GDP growth statistics. This is both a really important question, and one that [...]

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One More Industry Where Employment is Dropping as Output Rises

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Mona Vernon, senior director of emerging technology at Thomson Reuters (and a former RA of mine) pointed me to an amazing Bloomberg chart of the day showing that “ the number of people employed in New York City in “securities and commodities contracts intermediation and brokerage,” which includes investment banking and securities dealing, fell to about 101,200 in [...]

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Head-to-Head at TED

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My colleague, coauthor, and friend Erik “The Iceland Cometh” Brynjolfsson went up against Bob “Flash” Gordon onstage at TED earlier this year. It was one of the highlights of the conference for me, and the videos are now up. Bob went first, giving his provocative view of why economic growth, as we know it, might be [...]

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Boston After the Bombs

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Hi everyone, The only thing I can personally say about the bomb attacks yesterday is that they were LOUD. I was in a cab at Huntington Avenue and Exeter St. when they went off. They sounded too loud to be benign, and sure enough within seconds Twitter was filling up with reports of explosions along [...]

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Why I For One Welcome Our New Robot Underlings

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Imagine a world where the robots did all the work.  They tend the crops, sew the clothes, cook the food, drive the trucks, and work on all the assembly lines in all the world’s factories. In this world, everything would be a lot cheaper because labor costs would drop to zero. In fact, there’d be [...]

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Here’s the Difference Between Repeating Slogans and Understanding a Concept

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If you want to see the difference between sophisticated and unsophisticated thinking and writing about technology’s effects on the workforce, look no further than two recent posts, both from the conservative side of the house. First is a March 25 piece by Luca Gattoni-Celli called “Steve Kroft: Philistine,” the main points of which are all stated [...]

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What Should Our Logo Be?

March 26, 2013

We’re running a 99designs contest to help us design the logo for MIT Sloan’s new Initiative on the Digital Economy, and need your feedback. If you’ve got a minute today, please take our poll:   And if you’d like to submit a logo, there’s still time – we’re picking finalists tomorrow. It’s a private contest; [...]

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