Economist: Difference engine and the Luddite legacy

There's a good article in the Economist about the automation revolution that's in full swing: Difference Engine: Luddite legacy. I find it strange that more people aren't talking about this, instead choosing to gripe about economic globalization, or blaming current unemployment rates on either inept governments or greedy corporations. It's becoming increasingly obvious that technologies are replacing jobs in a way that's been predicted for nearly two centuries. The difference now, however, is that both blue and white collar jobs (i.e. knowledge workers) are in danger of being replaced by automation systems.

Some snippets from the article worth reading:

The conventional explanation for America's current plight is that, at an annualised 2.5% for the most recent quarter (compared with an historical average of 3.3%), the economy is simply not expanding fast enough to put all the people who lost their jobs back to work. Consumer demand, say economists like Dr Tyson, is evidently not there for companies to start hiring again. Clearly, too many chastened Americans are continuing to pay off their debts and save for rainy days, rather than splurging on things they may fancy but can easily manage without.

There is a good deal of truth in that. But it misses a crucial change that economists are loth to accept, though technologists have been concerned about it for several years. 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.

And this:

The process has clearly begun. And it is not just white-collar knowledge workers and middle managers who are being automated out of existence. As data-analytics, business-intelligence and decision-making software do a better and cheaper job, even professionals are not immune to the job-destruction trend now underway. Pattern-recognition technologies are making numerous highly paid skills redundant.

Radiologists, who can earn over $300,000 a year in America, after 13 years of college education and internship, are among the first to feel the heat. It is not just that the task of scanning tumour slides and X-ray pictures is being outsourced to Indian laboratories, where the job is done for a tenth of the cost. The real threat is that the latest automated pattern-recognition software can do much of the work for less than a hundredth of it.

Lawyers are in a similar boat now that smart algorithms can search case law, evaluate the issues at hand and summarise the results. Machines have already shown they can perform legal discovery for a fraction of the cost of human professionals—and do so with far greater thoroughness than lawyers and paralegals usually manage.

Read the entire article.