Technological Unemployment

Posted: 1st December 2017 by Khannea Suntzu in Uncategorized
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We Need to Talk About the Robots – How Can Society Survive after Automation? (September 2016)

Half of all jobs could be automated in the next twenty years. That means some pretty radical changes for society. In this video, I look at some of the steps we’ll need to take in order to survive the Robot Revolution.

The robot-proof job men aren’t taking (VOX, Nov 2017)

Nursing is the job of the future. So why have men stayed away?

The Rise of the Robots: Technology and the Threat of Mass Unemployment (Book, Martin Ford 2016)

In a world of self-driving cars and big data, smart algorithms and Siri, we know that artificial intelligence is getting smarter every day. Though all these nifty devices and programs might make our lives easier, they’re also well on their way to making “good” jobs obsolete. A computer winning Jeopardy might seem like a trivial, if impressive, feat, but the same technology is making paralegals redundant as it undertakes electronic discovery, and is soon to do the same for radiologists. And that, no doubt, will only be the beginning. In Silicon Valley the phrase “disruptive technology” is tossed around on a casual basis. No one doubts that technology has the power to devastate entire industries and upend various sectors of the job market. But Rise of the Robots asks a bigger question: can accelerating technology disrupt our entire economic system to the point where a fundamental restructuring is required? Companies like Facebook and YouTube may only need a handful of employees to achieve enormous valuations, but what will be the fate of those of us not lucky or smart enough to have gotten into the great shift from human labor to computation?

Why Automation is Different this Time (June 2017)

Half of all jobs could be automated in the next twenty years. That means some pretty radical changes for society. In this video, I look at some of the steps we’ll need to take in order to survive the Robot Revolution.

Homo Deus: A Brief History of Tomorrow (Yuval Harrari, 2015)

Over the past century humankind has managed to do the impossible and rein in famine, plague, and war. This may seem hard to accept, but, as Harari explains in his trademark style—thorough, yet riveting—famine, plague and war have been transformed from incomprehensible and uncontrollable forces of nature into manageable challenges. For the first time ever, more people die from eating too much than from eating too little; more people die from old age than from infectious diseases; and more people commit suicide than are killed by soldiers, terrorists and criminals put together. The average American is a thousand times more likely to die from binging at McDonalds than from being blown up by Al Qaeda. What then will replace famine, plague, and war at the top of the human agenda? As the self-made gods of planet earth, what destinies will we set ourselves, and which quests will we undertake? Homo Deus explores the projects, dreams and nightmares that will shape the twenty-first century—from overcoming death to creating artificial life. It asks the fundamental questions: Where do we go from here? And how will we protect this fragile world from our own destructive powers? This is the next stage of evolution. – Audiobook Link.

Robots Will Run Mines Within the Next Decade, Anglo Says (Bloomberg, November 2017)

Some mines in the next decade will run without humans and instead rely on robots, virtual models and sensors, according to Anglo American Plc.

Elon Musk: Say ‘Sweet Dreams,’ Humanity (LiveScience, November 2017)

Twitter user Alex Medina, a designer for Vox Media, posted a clip of a Boston Dynamics humanoid robot called Atlas doing a backflip with the short caption: “we dead.” In reply, Musk wrote, “This is nothing. In a few years, that bot will move so fast you’ll need a strobe light to see it. Sweet dreams.”

Robots Are Coming for Jobs of as Many as 800 Million Worldwide (Bloomberg, November 2017)

As many as 800 million workers worldwide may lose their jobs to robots and automation by 2030, equivalent to more than a fifth of today’s global labor force.

Elon Musk Is Right, Artificial Intelligence is Growing Like Crazy (November 2017)

Tesla and SpaceX CEO Elon Musk is renowned for making dire predictions about how artificial intelligence will be a threat to humankind. While it’s not yet self-evolving to the point of being an imminent danger, in 2017 AI did grow like crazy. At least that’s the topic several CEOs wanted to mention when asked what they saw as the biggest trends in tech this year.

The future of employment: How susceptible are jobs to computerisation? (Study, 1017)

We examine how susceptible jobs are to computerisation. To assess this, we begin by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier. Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between an occupations probability of computerisation, wages and educational attainment.

The Guardian view on productivity: the robots are coming (The Guardian, 2017)

A country’s ability to improve its standard of living over time depends almost entirely on its ability to raise its output per worker. That’s why Nobel laureate Paul Krugman concluded that productivity isn’t everything – but in the long run it is almost everything. Instead of wasting the nation’s time focusing on the non-existent threat of the deficit, the chancellor, Philip Hammond, this week conceded the “everything” that Mr Krugman had identified: British productivity has stalled and as a result workers’ real wages will be lower than when the recession began. Before the crash, we would have expected living standards to double every 40 years. Now that will take 80. That means lost decades for millions of ordinary people.

Hillary Clinton says America is ‘totally unprepared’ for the impact of AI (Hillary Clinton, The Verge 2017)

“What are we going to do when we get driverless cars?” she asked. “It sounds like a great idea. And how many millions of people, truck drivers and parcel delivery people and cab drivers and even Uber drivers, what do we do with the millions of people who will no longer have a job? We are totally unprepared for that.”

A new analysis of Trump supporters has uncovered 5 key psychological traits about them… (Rawstory November 2017)

375 million jobs may be automated by 2030, study suggests (CNN Tech September 2017)

The McKinsey Global Institute cautions that as many as 375 million workers will need to switch occupational categories by 2030 due to automation. The work most at risk of automation includes physical jobs in predictable environments, such as operating machinery or preparing fast food. Data collection and processing is also in the crosshairs, with implications for mortgage origination, paralegals, accounts and back-office processing.

Undercover at Amazon: Exhausted humans are inefficient so robots are taking over (November 2017)

Mirror investigative reporter says: ‘Amazon has recognised humans are the least efficient part of the operation – it makes more money by treating its workers as expendable commodities’

Stephen Hawking: Automation and AI Are Going to Decimate Middle Class Jobs (Futurism, September 2017)

Artificial intelligence and increasing automation is going to decimate middle class jobs, worsening inequality and risking significant political upheaval, Stephen Hawking has warned.

Siemens Plans to Cut Nearly 7,000 Jobs in Traditional Power Generation (GTM, November 2017)

Siemens announced massive cuts last week that would eliminate 2 percent of the industrial giant’s workforce. Nearly all of the layoffs will come from its Power and Gas division, reducing labor on its power plant turbine business.



What will the economy of the future look like? (Book, 2009)

Where will advancing technology, job automation, outsourcing and globalization lead? Is it possible that accelerating computer technology was a primary cause of the current global economic crisis—and that even more disruptive impacts lie ahead? This groundbreaking book by a Silicon Valley computer engineer and entrepreneur explores these questions and shows how accelerating technology is likely to have a highly disruptive influence on our economy in the near future—and may well already be a significant factor in the current global crisis.

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