Silicon Valley Will Escape the Revolution

The Daily Escape:

Waterfall Jumping Competition (from 69 feet up), Bosnia, August 5th – photo by Amel Emric

Antonio Garcia Martinez:

Every time I meet someone from outside Silicon Valley – a normy – I can think of 10 companies that are working madly to put that person out of a job…

Well, that makes most of us “normies”. In context, we are the people who do not work in Silicon Valley. We are the people who use technology, rather than invent technology, and many of us ought to see technology as a threat to our jobs and our place in society.

We are not in the beautiful peoples’ club. Our names are not on the list. We’re not software engineers who work just to pay the taxes on their company stock.

And who is this Martinez guy? From Mashable:

He’d sold his online ad company to Twitter for a small fortune, and was working as a senior exec at Facebook (an experience he wrote up in his best-selling book, Chaos Monkeys). But at some point in 2015, he looked into the not-too-distant future and saw a very bleak world, one that was nothing like the polished utopia of connectivity and total information promised by his colleagues.

Martinez pointed out that there are enough guns for every man, woman and child in this country, and they’re in the hands of people who would be hurt most by automation:

You don’t realize it but we’re in a race between technology and politics, and technologists are winning…

Martinez worries about how the combination of automation and artificial intelligence will develop faster than we expect, and that the consequences are lost jobs.

Martinez’s response was to become a tech prepper, another rich guy who buys an escape pod somewhere off the grid, where he thinks he will be safe from the revolution that he helped bring about. More from Mashable: (brackets by the Wrongologist)

So, just passing [after turning] 40, Antonio decided he needed some form of getaway, a place to escape if things turn sour. He now lives most of his life on a small Island called Orcas off the coast of Washington State, on five Walt Whitman acres that are only accessible by 4×4 via a bumpy dirt path that…cuts through densely packed trees.

He’s not alone. Reid Hoffman, co-founder of LinkedIn told The New Yorker earlier this year that around half of Silicon Valley billionaires have some degree of “apocalypse insurance.” Pay-Pal co-founder and venture capitalist Peter Thiel recently bought a 477-acre escape hatch in New Zealand, and became a Kiwi. Other techies are getting together on secret Facebook groups to discuss survivalist tactics.

We’ve got to expect that with AI and automation, our economy will change dramatically. We will see both economic and social disruption until we achieve some form of new equilibrium in 30 years or so.

It will be a world where either you work for the machines, or the machines work for you.

Robert Shiller, of the famous Case-Shiller Index, wrote in the NYT about the changing meaning of the “American Dream” from the 1930s where it meant:

…ideals rather than material goods, [where]…life should be better and richer and fuller for every man, with opportunity for each according to his ability or achievement…It is not a dream of motor cars and high wages merely, but a dream of a social order in which each man and each woman shall be able to attain to the fullest stature of which they are innately capable…

That dream has left the building, replaced by this:

Forbes Magazine started what it calls the “American Dream Index.” It is based on seven statistical measures of material prosperity: bankruptcies, building permits, entrepreneurship, goods-producing employment, labor participation rate, layoffs and unemployment claims. This kind of characterization is commonplace today, and very different from the original spirit of the American dream.

How will the “Normies” survive in a society that doesn’t care if you have a job? That refuses to provide a safety net precisely when it celebrates the progress of technology that costs jobs?

The Silicon Valley survivalists understand that, when this happens, people will look for scapegoats. And we just might decide that the techies are it.

Today’s music is “Guest List” by the Eels from the 1996 album “Beautiful Freak”:

 Takeaway Lyric:

Are you one of the beautiful people
Is my name on the list
Wanna be one of the beautiful people
Wanna feel like I’m missed

Are you one of the beautiful people
Am I on the wrong track
Sometimes it feels like I’m made of eggshell
And it feels like I’m gonna crack

Those who read the Wrongologist in email can view the video here.

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Trump Promised Jobs. That’s Why He Won

Take a good look at this map. It shows which counties switched parties in the 2016 US Presidential election compared to 2012. Red counties switched from Democrat to Republican, blue counties switched from Republican to Democrat and the vast majority in grey did not switch parties:

counties-that-changed-partys

Source: Brilliant Maps

Of course, it doesn’t show vote margin or size of the total vote in each county. The main thing this map shows is the large number of counties in the North East and Midwest that flipped to Trump, after having been Democratic counties in the prior election. The effect was large enough to deliver the normally Democratic leaning states of Iowa, Michigan, Pennsylvania, and Wisconsin into the Republican camp.

Tim Duy has an article about how economists and most politicians get so wrapped up that they miss the human element in economic dislocations. Duy makes the point that they ignore two of the negative impacts of job losses. First, they say how lost jobs free up human capital for use elsewhere in the economy. Of course, as jobs are added to the economy, skill levels and training determine whether laid-off workers are part of that equation.

“High-skilled” workers is what we need, but they are not always the kind of workers that were laid off.

Second, Duy reminds us that most workers have little ability to move to where better jobs might be found. Politicians tell us that the economy is shifting to urban and suburban areas; to higher skilled jobs; that workers must go and get retrained. That misses the point.

Most new jobs for those who were laid off will only be found if workers are able to relocate, to move from rural or devastated urban locations to geographic areas where jobs are expanding. Duy notes it is particularly difficult for rural areas:

The speed of regional labor market adjustment to shocks is agonizingly slow in any area that lacks a critical mass of population…Relative to life spans, in many cases the shocks might as well be permanent.

We don’t have answers for most of these communities. Rural and urban economic re-development is hard. The people living in these regions have experienced job losses (or no jobs growth) for decades; positive jobs growth has occurred elsewhere.

And the laid-off workforce isn’t mobile. In effect, we have limited access to housing in our major cities by pushing housing costs beyond the reach of most middle class workers. This, from Kevin Erdmann:

If you lost your manufacturing job in Buffalo, and you’re thinking of moving to New York City because there are more jobs there, you might decide not to move because it is too expensive. It is the affordability that is keeping you out. But, even here, the affordability problem is just the messenger. It is the rationing mechanism for a housing stock that is relatively fixed for political reasons.

If you decide to move to the NYC area, you see that the housing supply is largely fixed. New buildings are hard to get through zoning. Construction costs in big cities are very high. Income taxes are rising rapidly.

Erdmann makes the point that housing in big cities doesn’t move up with increased demand:

So, it doesn’t matter if Brooklyn apartments rent for $500, or $1,000, or $2,000, or $4,000. There isn’t one for you. Fixing this by fixing affordability isn’t going to change the supply curve. It’s simply substituting non-monetary rationing mechanisms for the monetary one.

Trump’s message that US firms need to consider domestic jobs as much as their bottom line, also resonated with middle and upper-middle class households. OTOH, it’s not like Trump took on the Coal Industry on behalf of workers. He blamed federal environmental policy, but that isn’t what caused the loss of coal industry jobs.

Trump doesn’t really have any answers, but he pretends to care while pretending to have answers. Pretending to care and pretending to have answers gave him the switched counties on the electoral map above. People want work. They want secure jobs.

Trump might be running a “jobs” scam, but if it fails, what is the Democrats’ alternative?

We have four years until the next election, two if you are looking at Congress. What policies will work? Will we just trade Trump’s scam for another one peddled by the establishment?

Business as usual hasn’t delivered. The idea that economic growth creates jobs is a pipe dream for many: For the past 40 years, economic growth did not improve wages.

Trump’s promise swung the election. If he fails, what will be the Democrats’ response?

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Robots Are Coming For Your Job

Americans worry that robots could make their jobs irrelevant. A new study shows that they may be correct. The report, Technology at Work v 2.0: The Future Is Not What It Used to Be, was conducted at University of Oxford in association with Citibank. Researchers Carl Frey and Mike Osborne, co-directors of the Oxford Martin Programme on Technology and Employment, found that 47% of US jobs are at risk of automation in the next two decades.

They also found that the city where you live may influence the risk of your work being automated. Among metro areas, Boston faces the lowest percentage of jobs likely to be automated, while Fresno, Calif., faces the highest. The cities that fared best in the survey have a cluster of skilled jobs, typically because they have developed a strong tech sector. Boston, for instance, which is home to a number of top universities and has many well educated residents, has become a global technology hub, transitioning successfully from its roots as a shipping center and manufacturing economy to a tech/finance center.

Here are the best/worst rankings:

FireShot Screen Capture #079 - Cities at risk of automation-page-001

Even in cities with the lowest percentage of jobs at risk of automation, nearly 40% of jobs could disappear because of technological innovation, the report finds. So how many workers are we talking about? The BLS reports that in December, 2015 our working population was 149.9 million; 40% of that number would be 60 million people unemployed in the next 20 years. Perhaps it won’t be that bad, maybe 20-30 million jobs will replace the approximately 60 million we stand to lose.

No politician will be able to paint a happy face on THAT.

Skeptics will say not to worry, that the economy has always adapted over time, and created new kinds of jobs. The classic example they use is agriculture. In the 1800s, 80% of the US labor force worked on farms. Today it’s 2%. Obviously, mechanization didn’t destroy the economy; it made it better. Food is now really cheap compared to what it used to cost, and as a result, people have money to spend on other things and they’ve transitioned to jobs in other areas.

But, the agricultural revolution was about specialized equipment that couldn’t be transferred to other industries. You couldn’t take farm machinery and have it flip hamburgers. Information technology is totally different. It’s a broad-based general purpose technology.

There just won’t be new jobs available for all these displaced workers.

There will certainly be many new industries, (think nanotechnology and synthetic biology), and those jobs will be highly paid. But they won’t employ many people. They’ll use lots of technology, rely on big computing centers, and be heavily automated.

Think about what Facebook and Twitter have added to the jobs economy: They are two of our very “best” success stories, and they only employ 8,100 workers. They have had a huge impact on society, and have created significant value for their owners, but the total jobs they have created are only a rounding error in the US economy.

Much of what we buy is produced in factories increasingly run with robots, and maintained and operated by small cadres of engineers. Also, keep in mind that globally, some 3 billion people are already looking for work and the vast majority are willing to work for less than the average American.

So, we can expect an ever-greater number of unemployed chasing an ever-shrinking number of jobs that can’t be eliminated or simplified by technology. Thus, the prognosis for many of our medium and some higher-skilled workers appears grim.

Incomes will continue to stagnate, because automation does not threaten unskilled jobs. This is sometimes called “Moravec’s Paradox”, which says that, contrary to traditional assumptions, high-level reasoning requires relatively little computation, but low-level sensorimotor skills require enormous computational resources. The “Roomba” robotic vacuum cleaner remains just an expensive toy. It has had zero impact on the market for janitors and maids like a rechargeable cordless sweeper has done, yet, wages for American janitors and maids have fallen because of competition from the currently unemployed and newly arrived immigrants.

If we forecast continuing technology breakthroughs (and we should), and combine that with the 3 billion people currently looking for work globally, we have to conclude that the planet is overpopulated if the goal is a growing global middle class.

This is why the quest for better technology has become the enemy of sustaining middle class job growth in the developed world.

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Technology Isn’t Creating Enough Middle Class Jobs

Yesterday we talked about how America is losing middle class jobs to technical outsourcing on our way to becoming a land of spreadsheets and flags. Today, let’s discuss another aspect of that; how technology continues to cost more and more mid-skilled jobs. We usually think of technology as a great panacea, making most of our processes more efficient. In fact, many of us can look back on the “sneakernet” of the 1980s and feel good about how far we’ve come with technology.

But technology has also reduced the number of middle class workers required, at a time when American wages are stagnant and benefits are falling for the remaining available jobs.

The meme used to be that if technology replaced workers, new jobs came along and net-net, more people were employed. Although things weren’t that simple, by 1900 if you were displaced, you could get another job because 99% of all jobs were still done only by humans.

Today corporations tell us that the knowledge economy can take as many workers as we can create, and since we can’t create them fast enough, technology firms need more of the H-1B visas we discussed yesterday. This is false. Facebook is touted as a prime player in the knowledge economy, but it only employs 5,800 to service 1 billion customers! Twitter has 400 million total users. It has 2,300 employees.

What is the value of Facebook and Twitter to the jobs economy? These are two of our very “best” success stories, and they only employ 8,100 workers. They have had a huge impact on society, but the total jobs they have created are only a rounding error in our economy.

Much of what we want to buy is produced in factories increasingly run with robots, and maintained and operated by small cadres of engineers. Increased sales of iPhones only add a few sales jobs at $12/hour in the US and not many new factory jobs in China. Also, keep in mind that globally, some 3 billion people are looking for work and the vast majority are willing to work for less than the average American.

We all know that technology is costing jobs, and by some estimates it could cost half of all current jobs in the next 20 years. So, we can expect an ever-greater number of unemployed chasing an ever-shrinking number of jobs that can’t be eliminated or simplified by technology. Thus, the prognosis for many medium and some higher-skilled workers appears grim. With this being said, technology is benefiting a lot of businesses and the way they operate. You’ll get a better understanding of it just by reading these Quotes about AI. Seeing as technology doesn’t look like it is going anywhere anytime soon, we might as well use it to our advantage in a business.

The oligarchs have seen these forecasts. That may explain their unwillingness to do anything serious to create effective jobs programs here at home. They don’t need to do anything, because there is a (virtually) infinite supply of skilled and unskilled workers in the overpopulated third world.

The issue is not technology, or robots, or restoring our manufacturing base. Nor is the issue better skills, or technology or outsourcing. We have too many people chasing too few good jobs.

Incomes will continue to stagnate, because automation does not threaten unskilled jobs. This is sometimes called “Moravec’s Paradox”, which says that, contrary to traditional assumptions, high-level reasoning requires relatively little computation, but low-level sensorimotor skills require enormous computational resources. The “Roomba” robotic vacuum cleaner is, despite years of development, just an expensive toy. It has had zero impact on the market for janitors and maids, yet, wages for American janitors and maids have fallen because of competition from the currently unemployed and newly arrived immigrants. While the Roomba aims to be a forward-looking cleaning solution, it still cannot compete with the manual vacuum cleaners, like Bissell’s, that still prove to be the preferred choice despite innovative attempts to move towards automation. See this link for Bissell vacuum cleaners – https://www.bissell.com/vacuums/upright-vacuum-cleaners/

If we forecast continuing technology breakthroughs (and we should), and combine that with the 3 billion people currently looking for work globally, we have to conclude that the planet is overpopulated if the goal is a growing global middle class.

This is why the quest for better technology has become the enemy of sustaining middle class growth in the developed world.

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