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3 life skills that are becoming obsolete
The world's always been changing, but it feels like it's never changed so quickly as it does now. What life skills will that render obsolete?
- Experts estimate that a full 47% of today's jobs may be replaced by automation and AI.
- As those jobs disappear, so too will the important skills associated with them.
- This list describes the top three life skills that will either disappear in the future or change so profoundly that we may no longer recognize them.
In an analysis of 702 occupations, researchers from Oxford University came to a distressing conclusion. A full 47 percent of all occupations in the US are likely to become automated, and that's only over the next few decades.
It's anxiety inducing, but it's also inevitable. It's not reasonable to be a Luddite in the face of such an overwhelming potential for human benefit — sure, the transition will be rough, but as automation transforms the nature of work, humanity stands to gain significant productivity and free time. Unfortunately, many of the life skills that we've worked hard to acquire in order to succeed and perform the jobs of today may not be relevant tomorrow. Here are the top 3 life skills that the changing world is making obsolete.
Recently, Lyft announced that its fleet of 30 self-driving cars in Las Vegas had made their 55,000th ride, with no major incidents and a consistent 4.97 rating out of 5. As the remote sensing technology and algorithms that drive autonomous cars improve, not owning a car may become the norm. Instead, we might request a ride from a fleet of cars owned by corporations like Lyft and Uber. Commercial trucking, too, will likely be replaced by self-driving cars. Already, a number of companies are angling to become the first to dominate this new market, such as TuSimple, which is running five round trips for the US postal service as part of a two-week pilot test.
While this is an exciting transformation, it's also going to have some major impacts. Being a driver (whether that's a truck, delivery, or tractor driver) is the most common job in the US. Once self-driving cars mature, there will be no reason to pay for a driver anymore, and no reason to learn to drive. Some people will undoubtedly still drive, but it will become a skill akin to riding horses, something set aside as a hobby for individuals with a keen interest.
A Waymo self-driving car pulls into a parking lot at the Google-owned company's headquarters in Mountain View, California.
GLENN CHAPMAN/AFP/Getty Images
2. STEM skills
STEM skills are among the most lucrative, practical, and useful skills to acquire, so it seems far-fetched that they would become obsolete. The trouble is, STEM industries develop at an exponential rate. It has been estimated the 65 percent of children entering grade school will wind up working in professions that don't exist yet, making it difficult to train them for those industries. Fifty-four percent of Americans believe that they need to train continuously in order to keep up with their changing workplace, and nearly 50 percent of the knowledge learned during the first year of a four-year technical degree will be out of date by the time the student graduates.
So, STEM skills as a concept aren't likely to go away any time soon — rather, the specific STEM skills that you can learn today are going to rapidly become obsolete. The benefit of STEM education is the same as any type of education: the rigorous, critical thinking skills they inculcate. Specific to a STEM education, too, is the fact that if you don't learn these skills that will cease to be relevant in the future, you won't be able to keep your head above water at all.
But this, of course, doesn't fully account for the specter of automation. Most experts believe that STEM-based fields will probably grow in response to the wave of automation. Just as machines didn't replace all the jobs during the Industrial Revolution, it's unlikely that the so-called "Fourth Industrial Revolution" will totally replace all jobs as well. And it will replace those jobs with new ones, ones that will likely involve STEM skills.
The thing is, nobody really knows for sure. Some believe, for instance, that software development will become a largely automated process requiring far fewer technical skills than it does today. Coding skills are extremely lucrative today, but it's not at all clear that they'll be needed in the future. The level of talent and skill needed to enter other STEM fields, too, may diminish as automation makes things easier.
3. Financial skills
As with STEM, the nature of many financial activities makes them very attractive targets for automation. Banking, accounting, and financial forecasting are mainly just different ways of processing information, something that machines are becoming increasingly adept at. For instance, a study by PwC found that 40 percent of accounting activities can be automated, such as billing and reporting.
Financial advisors will no longer need to navigate complicated tax scenarios as well. Already, H&R Block is using IBM's Watson to assist in tax preparation. Considering the over 74,000 pages of the tax code, offloading this work to a machine makes a lot of sense. As another example, JP Morgan's Contract Intelligence — or COIN — saves the company 360,000 work hours annually by reviewing loan documents in seconds.
Technology has replaced many of the jobs that used to exist in the financial industry. In fact, technology has so thoroughly permeated this industry that some colleges are offering "fintech" courses focusing on the impact and nature of financial technology. But financial technology has mostly replaced tedious tasks that were clearly ripe for automation. More complicated tasks will always have to be left in human hands, right?
Not true. Even something as challenging and multifaceted as investing is being automated. Banks like Citigroup use AI to provide clients with investment advice. The Boston-based hedge fund Domeyard uses AI to parse through the 300 million data points that are generated by the New York Stock Exchange's first hour of trading alone. Using machine-learning techniques to gain an edge is quickly becoming the norm among traders.
These three major skill sets are likely to disappear in the future or transform so thoroughly that they will bear little resemblance to what we see today. Does that mean developing these skills today is a waste of time? Not necessarily. Although little can be said for driving skills, honing your STEM and financial skills will provide an understanding of the fundamentals behind the relevant technology. And most importantly, sharpening these skills will sharpen the skills that are truly difficult to automate as well, like creative and critical thinking. In the future, the ability to think in a uniquely human way may become the most important skill out there.
- Why the Programming Language C Is Obsolete - Big Think ›
- 47% of Jobs Will Disappear in the next 25 Years, Says Oxford ... ›
A Mercury-bound spacecraft's noisy flyby of our home planet.
- There is no sound in space, but if there was, this is what it might sound like passing by Earth.
- A spacecraft bound for Mercury recorded data while swinging around our planet, and that data was converted into sound.
- Yes, in space no one can hear you scream, but this is still some chill stuff.
First off, let's be clear what we mean by "hear" here. (Here, here!)
Sound, as we know it, requires air. What our ears capture is actually oscillating waves of fluctuating air pressure. Cilia, fibers in our ears, respond to these fluctuations by firing off corresponding clusters of tones at different pitches to our brains. This is what we perceive as sound.
All of which is to say, sound requires air, and space is notoriously void of that. So, in terms of human-perceivable sound, it's silent out there. Nonetheless, there can be cyclical events in space — such as oscillating values in streams of captured data — that can be mapped to pitches, and thus made audible.
Image source: European Space Agency
The European Space Agency's BepiColombo spacecraft took off from Kourou, French Guyana on October 20, 2019, on its way to Mercury. To reduce its speed for the proper trajectory to Mercury, BepiColombo executed a "gravity-assist flyby," slinging itself around the Earth before leaving home. Over the course of its 34-minute flyby, its two data recorders captured five data sets that Italy's National Institute for Astrophysics (INAF) enhanced and converted into sound waves.
Into and out of Earth's shadow
In April, BepiColombo began its closest approach to Earth, ranging from 256,393 kilometers (159,315 miles) to 129,488 kilometers (80,460 miles) away. The audio above starts as BepiColombo begins to sneak into the Earth's shadow facing away from the sun.
The data was captured by BepiColombo's Italian Spring Accelerometer (ISA) instrument. Says Carmelo Magnafico of the ISA team, "When the spacecraft enters the shadow and the force of the Sun disappears, we can hear a slight vibration. The solar panels, previously flexed by the Sun, then find a new balance. Upon exiting the shadow, we can hear the effect again."
In addition to making for some cool sounds, the phenomenon allowed the ISA team to confirm just how sensitive their instrument is. "This is an extraordinary situation," says Carmelo. "Since we started the cruise, we have only been in direct sunshine, so we did not have the possibility to check effectively whether our instrument is measuring the variations of the force of the sunlight."
When the craft arrives at Mercury, the ISA will be tasked with studying the planets gravity.
The second clip is derived from data captured by BepiColombo's MPO-MAG magnetometer, AKA MERMAG, as the craft traveled through Earth's magnetosphere, the area surrounding the planet that's determined by the its magnetic field.
BepiColombo eventually entered the hellish mangentosheath, the region battered by cosmic plasma from the sun before the craft passed into the relatively peaceful magentopause that marks the transition between the magnetosphere and Earth's own magnetic field.
MERMAG will map Mercury's magnetosphere, as well as the magnetic state of the planet's interior. As a secondary objective, it will assess the interaction of the solar wind, Mercury's magnetic field, and the planet, analyzing the dynamics of the magnetosphere and its interaction with Mercury.
Recording session over, BepiColombo is now slipping through space silently with its arrival at Mercury planned for 2025.
Research suggests that aging affects a brain circuit critical for learning and decision-making.
As people age, they often lose their motivation to learn new things or engage in everyday activities. In a study of mice, MIT neuroscientists have now identified a brain circuit that is critical for maintaining this kind of motivation.
Researchers develop the first objective tool for assessing the onset of cognitive decline through the measurement of white spots in the brain.
- MRI brain scans may show white spots that scientists believe are linked to cognitive decline.
- Experts have had no objective means of counting and measuring these lesions.
- A new tool counts white spots and also cleverly measures their volumes.
White spots and educated guesses<p>The white spots, or "hyperintensities," are brain lesions—fluid-filled holes in the brain believed to have been left behind by the breaking down of blood vessels that had previously provided nourishment to brain cells.</p><p>Prior to the new research, the quantity of white spots was assessed using an imprecise three-point scale indicating ascending likelihoods of dementia: A minimal number of spots was considered as level 1, a medium number of spots level 2, and a great number of them level 3.</p>
How the new measurements were derived<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNDYwMTc1OS9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYzNDQ1ODExNX0.vqhQJSvL99KjOe24TOs4E8R7c6-pprbXYSrGcIqbVps/img.jpg?width=980" id="c64d9" class="rm-shortcode" data-rm-shortcode-id="002d9b8ef47b5a86c3a387ad2cd90629" data-rm-shortcode-name="rebelmouse-image" />
Credit: sfam_photo/Shutterstock<p>The team of researchers from NYU's Langone's <a href="https://med.nyu.edu/departments-institutes/neurology/divisions-centers/center-cognitive-neurology" target="_blank">Center for Cognitive Neurology</a> and <a href="https://med.nyu.edu/departments-institutes/neurology/divisions-centers/center-cognitive-neurology/alzheimers-disease-research-center" target="_blank">Alzheimer's Disease Research Center</a> were led by <a href="https://med.nyu.edu/faculty/jingyun-chen" target="_blank">Jingyun "Josh" Chen</a>. They analyzed 72 MRI scans from a national database of older people taken as part of the <a href="http://adni.loni.usc.edu" target="_blank">Alzheimer's Disease Neuroimaging Initiative</a> (ADNI). The scans were mostly of white people over age 70, and there were a roughly equivalent number of men and women. Some had normal brain function, some were presenting moderate cognitive decline, and some had severe dementia.</p><p>Without knowing each individual's diagnosis, the researchers analyzed the white spots in their scans. While the team counted each scan's lesions, the innovation they introduced was the production of a 3D measurement for each lesion's fluid volume. The measurement was derived by measuring a lesion's distance from opposite sides of the brain.</p><p>Measurements of 0 milliliters (mL) were assessed for areas without white spots, with other white spots coming up as containing 60 mL of fluid. Chen's team predicted that volumes over 100 mL could signify severe dementia.</p><p>"Amounts of white matter lesions above the normal range should serve as an early warning sign for patients and physicians," Chen told <a href="https://nyulangone.org/news/white-matter-lesion-mapping-tool-identifies-early-signs-dementia" target="_blank">NYU Langone Health NewsHub</a>.</p><p>When the team compared the likely diagnoses derived from their calculations against the individuals' medical records, they found that their predictions were correct about 7 out of 10 times.</p><p>The researchers compiled their formulas into an online tool that's available to physicians for free via <a href="https://github.com/jingyunc/wmhs" target="_blank" rel="noopener noreferrer">GitHub</a>. The researchers plan to further refine and test it using an additional 1,495 brain scans representing a more diverse group of individuals from the ADNI database.</p>