Economics of Technology – Page 52

Code Schools Provide Intense 12 Week Training, and Jobs

(p. B1) Across the U.S., change is coming for the ecosystem of employers, educational institutions and job-seekers who confront the increasingly software-driven nature of work. A potent combination–a yawning skills gap, stagnant middle-class wages and diminished career prospects for millennials–is bringing about a rapid shift (p. B4) in the labor market for coders and other technical professionals.
Riding into the breach are “code schools,” a kind of vocational training that rams students through intense 12-week crash courses in precisely the software-development skills employers need.

For the full commentary, see:
Christopher Mims. “Code-School Boot Camps Offer Fast Track to Jobs.” The Wall Street Journal (Mon., Feb. 27, 2017): B1 & B4.
(Note: the online version of the commentary has the date Feb. 26, 2017, and has the title “A New Kind of Jobs Program for Middle America.”)

Employment Grows as Productivity Rises

(p. C3) In a recent paper prepared for a European Central Bank conference, the economists David Autor of MIT and Anna Salomons of Utrecht University looked at data for 19 countries from 1970 to 2007. While acknowledging that advances in technology may hurt employment in some industries, they concluded that “country-level employment generally grows as aggregate productivity rises.”
The historical record provides strong support for this view. After all, despite centuries of progress in automation and recurrent warnings of a jobless future, total employment has continued to increase relentlessly, even with bumps along the way.
More remarkable is the fact that today’s most dire projections of jobs lost to automation fall short of historical norms. A recent analysis by Robert Atkinson and John Wu of the Information Technology & Innovation Foundation quantified the rate of job destruction (and creation) in each decade since 1850, based on census data. They found that an incredible 57% of the jobs that workers did in 1960 no longer exist today (adjusted for the size of the workforce).
Workers suffering some of the largest losses included office clerks, secretaries and telephone operators. They found similar levels of displacement in the decades after the introduction of railroads and the automobile. Who is old enough to remember bowling alley pin-setters? Elevator operators? Gas jockeys? When was the last time you heard a manager say, “Take a memo”?
. . .
. . . , if artificial intelligence is getting so smart that it can recognize cats, drive cars, beat world-champion Go players, identify cancerous lesions and translate from one language to another, won’t it soon be capable of doing just about anything a person can?
Not by a long shot. What all of these tasks have in common is that they involve finding subtle patterns in very large collections of data, a process that goes by the name of machine learning.
. . .
But it is misleading to characterize all of this as some extraordinary leap toward duplicating human intelligence. The selfie app in your phone that places bunny ears on your head doesn’t “know” anything about you. For its purposes, your meticulously posed image is just a bundle of bits to be strained through an algorithm that determines where to place Snapchat face filters. These programs present no more of a threat to human primacy than did automatic looms, phonographs and calculators, all of which were greeted with astonishment and trepidation by the workers they replaced when first introduced.
. . .
The irony of the coming wave of artificial intelligence is that it may herald a golden age of personal service. If history is a guide, this remarkable technology won’t spell the end of work as we know it. Instead, artificial intelligence will change the way that we live and work, improving our standard of living while shuffling jobs from one category to another in the familiar capitalist cycle of creation and destruction.

For the full commentary, see:
Kaplan, Jerry. “Don’t Fear the Robots.” The Wall Street Journal (Sat., June 22, 2017): C3.
(Note: ellipses added.)
(Note: the online version of the commentary has the date June 21, 2017.)

The David Autor paper, mentioned above, is:

Autor, David, and Anna Salomons. “Does Productivity Growth Threaten Employment?” Working Paper. (June 19, 2017).

The Atkinson and Wu report, mentioned above, is:
Atkinson, Robert D., and John Wu. “False Alarmism: Technological Disruption and the U.S. Labor Market, 1850-2015.” (May 8, 2017).

The author’s earlier book, somewhat related to his commentary quoted above, is:
Kaplan, Jerry. Artificial Intelligence: What Everyone Needs to Know. New York: Oxford University Press, 2016.

Toyota’s Solid-State, Lithium-Ion Batteries Increase Electric Car Range

(p. B6) TOKYO–Toyota Motor Corp. believes it has mastered the technology and production process for a new lithium-ion battery that could slash charging time and double the range of electric vehicles, according to U.S. patent filings and one of the inventors.
On Tuesday [July 25, 2017] Toyota said that by the early 2020s it planned to sell cars equipped with solid-state batteries, which replace the damp electrolyte used to transport lithium ions inside today’s batteries with a solid glass-like plate.
Behind Toyota’s brief statement lay years of research aimed at solving issues that have long bedeviled batteries for electric cars. Current lithium-ion batteries can’t be packed too tightly together because of fire risk. That is one reason electric cars tend to have limited range compared with traditional gasoline-powered cars.
With the solid-state battery, “you can improve the output and reduce the charge time–hopefully,” said Ryoji Kanno, a professor at the Tokyo Institute of Technology. Prof. Kanno led a team including Toyota scientists that discovered the materials for the glass-like electrolyte.

For the full story, see:
McLain, Sean. “Toyota: Battery Can Make Electric Cars Go Farther.” The Wall Street Journal (Fri., July 28, 2017): B6.
(Note: bracketed date, added.)
(Note: the online version of the story has the date July 27, 2017, and has the title “Toyota’s Cure for Electric-Vehicle Range Anxiety: A Better Battery.”)

Process Innovations Increase Access to Natural Resources

(p. B6) SUPERIOR, Ariz.–One of the world’s largest untapped copper deposits sits 7,000 feet below the Earth’s surface. It is a lode that operator Rio Tinto PLC wouldn’t have touched–until now.
. . .
Advances in mining technology are making that possible–just as developments in oil and gas drilling heralded the fracking revolution. Now, using everything from sensors and data analytics to autonomous vehicles and climate-control systems, Rio aims to pull ore from more than a mile below ground, where temperatures can reach nearly 175 degrees Fahrenheit.
. . .
While a deep underground block-cave mine costs much more to develop, Rio says it can match the operating costs per ton of ore of a surface mine, partly because it is so mechanized.
. . .
As with the development of new hydraulic-fracturing and horizontal-drilling techniques to extract oil from shale-rock deposits, locating and extracting the copper successfully requires deployment of new technologies such as cheaper, more powerful sensors and breakthroughs in the use of data.
, , ,
Electrical gear buzzes constantly, and a network of pipes pumps water out of the shaft at the rate of 600 gallons a minute. A ventilation system cools the area to 77 degrees.
Over the next few years, Rio plans to deploy tens of thousands of electronic sensors, as well as autonomous vehicles and complex ventilation systems, to help it bring 1.6 billion tons of ore to the surface over the more than 40-year projected life of the mine.

For the full story, see:
Steven Norton. “Rio Digs Deeper for Copper.” The Wall Street Journal (Thurs., June 8, 2017): B6.
(Note: ellipses added.)
(Note: the online version of the story has the date June 7, 2017, and has the title “Mining a Mile Down: 175 Degrees, 600 Gallons of Water a Minute.”)

Health Innovations Launch Where Regulations Are Few

(p. A15) One type of mobile device that is likely to appear first in the Far East and be widely adopted there is the digital stethoscope. This device is able to detect changes in pitch and soon will be able to detect asthma in children, pneumonia in the elderly, and, in conjunction with low-cost portable electrocardiographs, cardiopulmonary disease.
An additional advantage is that this part of the world–particularly India and Africa–has limited regulation, which makes it much easier to launch these kinds of health-care tools. In India and much of Africa, there are few government drug agencies or big insurance companies to throw up barriers.
Companies that make medical devices and their accompanying smartphone apps could establish themselves almost overnight. Then, once they have built a large, profitable base of users, they could consider jumping through the legal and regulatory hoops to bring the technology to developed countries.

For the full commentary, see:
Michael S. Malone. “Silicon Valley Trails in Medical Tech; With smartphones everywhere and little regulation, India and Africa are set to lead..” The Wall Street Journal (Mon., July 24, 2017): A15.
(Note: the online version of the commentary has the date July 23, 2017.)

Regulations, Not Robots, Cause Slower Job Growth

(p. A19) Some anxious forecasters project that robotics, automation and artificial intelligence will soon devastate the job market. Yet others predict a productivity fizzle. The Congressional Budget Office, for instance, expects labor productivity to grow at the snail’s pace of 1.3% a year over the next decade, well below the historical average.
There’s reason to reject both of these dystopian scenarios. Innovation isn’t a zero-sum game. The problem for most workers isn’t too much technology but too little. What America needs is more computers, mobile broadband, cloud services, software tools, sensor networks, 3-D printing, augmented reality, artificial intelligence and, yes, robots.
For the sake of explanation, let’s separate the economy into two categories. In digital industries–technology, communications, media, software, finance and professional services–productivity grew 2.7% annually over the past 15 years, according to the findings of our report, “The Coming Productivity Boom,” released in March. The slowdown is concentrated in physical industries–health care, transportation, education, manufacturing, retail–where productivity grew a mere 0.7% annually over the same period.
Digital industries have also experienced stronger job growth. Since the peak of the last business cycle in December 2007, hours worked in the digital category rose 9.6%, compared with 5.6% on the physical side. If health care is excluded, hours worked in physical jobs rose only 3%.
What is holding the physical industries back? It is no coincidence that they are heavily regulated, making them expensive to operate in and resistant to experimentation. The digital economy, on the other hand, has enjoyed a relatively free hand to invest and innovate, delivering spectacular and inexpensive products and services all over the world.
But more important, partially due to regulation, physical industries have not deployed information technology to the same extent that digital industries have.

For the full commentary, see:

Bret Swanson and Michael Mandel. “Robots Will Save the Economy; The problem today is too little technology. Physical industries haven’t kept up.” The Wall Street Journal (Mon., May 15, 2017): A19.
(Note: the online version of the commentary has the date May 14, 2017.)

Workers Are Empowered, Not Threatened, by Robots

(p. A15) Most computer scientists agree that predictions about robots stealing jobs are greatly exaggerated. Rather than worrying about an impending Singularity, consider instead what we might call Multiplicity: diverse groups of people and machines working together to solve problems.
Multiplicity is not science fiction. A combination of machine learning, the wisdom of crowds, and cloud computing already underlies tasks Americans perform every day: searching for documents, filtering spam emails, translating between languages, finding news and movies, navigating maps, and organizing photos and videos.
Consider Google’s search engine. It runs on a set of algorithms with input from a large number of human users who share valuable feedback every time they click on or skip over a link. The same is true for spam filters. Every time someone marks an email as spam or overrides a filter, it helps fine-tune the system for determining what is relevant.
. . .
Multiplicity is collaborative instead of combative. Rather than discourage the human workers of the world, this new frontier has the potential to empower them.

For the full commentary, see:
Ken Goldberg. “The Robot-Human Alliance; Call it Multiplicity: diverse groups of people and machines working together.” The Wall Street Journal (Mon., June 12, 2017): A15.
(Note: ellipsis added.)
(Note: the online version of the commentary has the date June 11, 2017.)

Small, Obscure Firm Innovates to Keep Moore’s Law Alive

(p. B1) VELDHOVEN, the Netherlands– ASML Holding NV, a little-known company based next to corn fields here, may hold the answer to a question hanging over the global semiconductor industry: how to make chips do more while keeping them the same, compact size.
The industry’s past prowess has been codified into what’s been called Moore’s Law, named after an observation Intel Corp. co-founder Gordon Moore first made in 1965. He postulated that chip makers could double the number of transistors in–and boost the performance of–a typical microprocessor every two years.
Last year, though, Intel Chief Executive Brian Krzanich warned that after decades of incredible leaps, that timeline was slipping closer to every 2.5 years. Some in the industry feared the eventual death of Moore’s Law, a rule of thumb underpinning modern computing.
ASML believes its breakthrough technology can postpone the demise. “I’m not concerned yet about the next 10-plus years,” said Hans Meiling, who oversees ASML’s effort trying to solve this problem.
Many in the industry, including big backers like Intel itself and Samsung Electronics Co. , are hoping ASML can quicken the pace of innovation once again. With around 15,000 employees and €6.3 billion ($7.05 billion) in revenue last year, the company manufactures equipment that makes chips–specializing in a field called photolithography. Specifically, ASML uses light rays to essentially lay out billions of transistors–the brain cells of a chip–in a microprocessor.

For the full story, see:
Stu Woo and Maarten van Tartwijk. “Dutch Company Aims to Make Chips Do More.” The Wall Street Journal (Mon., Oct. 3, 2016): B1 & B5.
(Note: the online version of the story has the title “Can This Little-Known Chip Company Preserve Moore’s Law?”)

Level 3 Failed, In Spite of a Well-Executed, Plausible Business Plan

Source of graph: online version of the Omaha World-Herald article quoted and cited below.

(p. 1D) Thomas Dowd and hundreds of other Omahans soon will be digging out their Level 3 Communications Inc. stock records. • The reason: This week, Level 3 shareholders are voting to sell the company to Century Link Communications. • The sale marks the end of an investment saga that began 20 years ago with hopes of riches but ended with big losses for most shareholders, despite the efforts of some of Omaha’s biggest names in business. • “It was a very bad experience,” said Dowd, a retired attorney and former director of the Metropolitan Utilities District. “It’s just one purchase at a time, and you think everything’s going good and then, bam! Anyway, lesson learned.” • Although his loss was “substantial,” he said, it didn’t disrupt his lifestyle, and he figures he’s better off than shareholders who lost their retirement savings or other vital funds. He’s still a Level 3 shareholder and will get some cash and Century Link shares in the sale, which is scheduled for September [2017].

(p. 4D) But it works out to about $4.43 for shares he bought years ago, some of them costing more than $100.
. . .
On March 20, 2000, someone sold and someone bought Level 3 shares for $132.25, a price that made the company’s publicly traded stock worth nearly $20 billion. By 2002, the price had nearly collapsed, putting most shareholders into the red.
Level 3 might have an information highway, but its toll system wasn’t collecting enough to earn a profit. It was clear that the nation had a “bandwidth glut,” a huge overcapacity of fiber networks.
Level 3 had installed its network, at an eventual cost of $14 billion, and could cheaply add more lines by stringing extra cable through its conduits.
But others had built networks, too, and the demand for bandwidth wasn’t growing as Crowe had hoped. Researchers also found ways to send more data along existing fibers, meaning greater capacity along existing lines.
Most of the new fiber networks were unused, or “dark.” Only a fraction of fibers in the buried bundles were “lit” by the light waves that carried digital communications and brought in revenue for companies like Level 3.
The supply of fiber far outran the demand, and Level 3’s losses mounted, along with its stock price. Investors lost confidence that the company would begin making profits anytime soon. In fact, that didn’t happen until 2014.
. . .
Dowd, the retired attorney, said he held onto the shares because it didn’t seem worthwhile to sell at the lower prices and he figured someone would buy the company and he would get some of his money back.
“I always thought Walter Scott was going to pull a rabbit out of the hat,” he said. “He never did.”

For the full story, see:
STEVE JORDON. “END OF THE LINE FOR LEVEL 3; Omaha-born company, which laid fiber-optic cable, will cease to exist.” Omaha World-Herald (Sun., March 12, 2017): 1D & 4D.
(Note: ellipses added.)

Equal Opportunity Gene Innovation

(p. R4) Kian Sadeghi has postponed homework assignments, sports practice and all the other demands of being a 17-year-old high-school junior for today. On a Saturday afternoon, he is in a lab learning how to use Crispr-Cas9, a gene-editing technique that has electrified scientists around the world–. . .
. . .
Crispr-Cas9 is easier, faster and cheaper than previous gene-editing techniques.
. . .
A do-it-yourself Crispr kit with enough material to perform five experiments gene-editing the bacteria included in the package is available online for $150. Genspace, the Brooklyn, N.Y., community lab where Mr. Sadeghi is learning how to use Crispr to edit a gene in brewer’s yeast, charges $400 for four intensive sessions. More than 80 people have taken the classes since the lab started offering them last year.
. . .
In the workshop, if the participants correctly edit the gene in brewer’s yeast, the cells will turn red. In between the prep work, the classmates swap stories on why they are there. Many have personal Crispr projects in mind and want to learn the technique.
Kevin Wallenstein, a chemical engineer, takes a two-hour train ride to the lab from his home in Princeton, N.J. Crispr is a hobby for him, he says. He wants to eventually use it to edit a gene in an edible fruit that he prefers not to name, to restore it to its historical color. “I always wondered what it would look like,” he says.
At the workshop, Mr. Wallenstein shares his Crispr goal with Will Shindel, Genspace’s lab director. Mr. Shindel is enthusiastic; he has started his own Crispr project, a longtime dream to make a spicy tomato. Both men say they aren’t looking to commercialize their ideas–but they would like to eat what they create someday, if they get permission from the lab. “I’m doing it for fun,” Mr. Shindel says.
When Mr. Sadeghi first wanted to try Crispr, the teenager emailed 20 scientists asking if they would be willing to let him learn Crispr in their labs. Most didn’t respond; those that did turned him down. So he did a Google search and stumbled upon Genspace. When he shared the lead with his science teacher at the Berkeley Carroll School in Brooklyn, Essy Levy Sefchovich, she agreed to take the course with him.
When Mr. Shindel describes the steps of the experiment, Ms. Sefchovich takes notes. She is hoping to create a modified version of the yeast experiment so all her students can try Crispr in class.
Later, Mr. Sadeghi recounts that the hardest part of the day was handling the micropipette, the lab tool he used to mix small amounts of liquid. He says he still feels clumsy. Ms. Sefchovich reassures him he’ll get the hang of it; he just needs to practice.
“It’s like driving,” she tells him. “You learn the right feel.” Mr. Sadeghi doesn’t have his driver’s license yet. He figures he’ll do Crispr first.

For the full story, see:
Marcus, Amy Dockser. “JOURNAL REPORTS: HEALTH CARE; DIY Gene Editing: Fast, Cheap–and Worrisome; The Crispr technique lets amateurs enter a world that has been the exclusive domain of scientists.” The Wall Street Journal (Mon., Feb. 27, 2017): R4.
(Note: ellipses added.)
(Note: the online version of the story has the date Feb. 26, 2017.)

Australian Government’s Centrally Planned “Costly Internet Bungle”

(p. A6) BRISBANE, Australia — Fed up with Australian internet speeds that trail those in most of the developed world, Morgan Jaffit turned to a more reliable method of data transfer: the postal system.
Hundreds of thousands of people from around the world have downloaded Hand of Fate, an action video game made by his studio in Brisbane, Defiant Development. But when Defiant worked with an audio designer in Melbourne, more than 1,000 miles away, Mr. Jaffit knew it would be quicker to send a hard drive by road than to upload the files, which could take several days.
“It’s really the big file sizes that kill us,” said Mr. Jaffit, the company’s co-founder and creative director. “When we release an update and there’s a small bug, that can kill us by three or four days.”
Australia, a wealthy nation with a widely envied quality of life, lags in one essential area of modern life: its internet speed. Eight years after the country began an unprecedented broadband modernization effort that will cost at least 49 billion Australian dollars, or $36 billion, its average internet speed lags that of the United States, most of Western Europe, Japan and South Korea. In the most recent ranking of internet speeds by Akamai, a networking company, Australia came in at an embarrassing No. 51, trailing developing economies like Thailand and Kenya.
. . .
The story of Australia’s costly internet bungle illustrates the hazards of mingling telecommunication infrastructure with the impatience of modern politics. The internet modernization plan has been hobbled by cost overruns, partisan maneuvering and a major technical compromise that put 19th-century technology between the country’s 21st-century digital backbone and many of its homes and businesses.
The government-led push to modernize its telecommunications system was unprecedented, experts say — and provides a cautionary tale for others who might like to try something similar.
“Australia was the first country where a totally national plan to cover every house or business was considered,” said Rod Tucker, a University of Melbourne professor and a member of the expert panel that advised on the effort.

For the full story, see:
ANDREW McMILLEN. “How Australia Bungled Internet Modernization.” The New York Times (Fri., MAY 12, 2017): A6.
(Note: ellipsis added.)
(Note: the online version of the story has the date MAY 11, 2017, and has the title “How Australia Bungled Its $36 Billion High-Speed Internet Rollout.”)