by Scott Young
Driving this effect is what is known as “skill polarization.” It’s well known that income inequality has been increasing in the United States over the last several decades. However, this description ignores a more subtle picture. The MIT economist David Autor has shown that instead of inequality rising across the board, there are actually two different effects: inequality rising at the top and lowering at the bottom.2 This matches Cowen’s thesis of average being over, with the middle part of the income spectrum being compressed into the bottom and stretched out at the top. Autor identifies the role that technology has had in creating this effect. The advance of computerization and automation technologies has meant that many medium-skilled jobs—clerks, travel agents, bookkeepers, and factory workers—have been replaced with new technologies. New jobs have arisen in their place, but those jobs are often one of two types: either they are high-skilled jobs, such as engineers, programmers, managers, and designers, or they are lower-skilled jobs such as retail workers, cleaners, or customer service agents.
Exacerbating the trends caused by computers and robots are globalization and regionalization. As medium-skilled technical work is outsourced to workers in developing nations, many of those jobs are disappearing at home. Lower-skilled jobs, which often require face-to-face contact or social knowledge in the form of cultural or language abilities, are likely to remain. Higher-skilled work is also more resistant to shipping overseas because of the benefits of coordination with management and the market. Think of Apple’s tagline on all of its iPhones: “Designed in California. Made in China.” Design and management stay; manufacturing goes. Regionalization is a further extension of this effect, with certain high-performing companies and cities making outsized impacts on the economy. Superstar cities such as Hong Kong, New York, and San Francisco have dominating effects on the economy as firms and talent cluster together to take advantage of proximity.
This paints a picture that might either be bleak or hopeful, depending on your response to it. Bleak, because it means that many of the assumptions embedded in our culture about what is necessary to live a successful, middle-class lifestyle are quickly eroding. With the disappearance of medium-skilled jobs, it’s not enough to get a basic education and work hard every day in order to succeed. Instead, you need to move into the higher-skilled category, where learning is constant, or you’ll be pushed into the lower-skilled category at the bottom. Underneath this unsettling picture, however, there is also hope. Because if you can master the personal tools to learn new skills quickly and effectively, you can compete more successfully in this new environment. That the economic landscape is changing may not be a choice any of us has control over, but we can engineer our response to it by aggressively learning the hard skills we need to thrive.
Education: Tuition Is Too High
The accelerating demand for high-skilled work has increased the demand for college education. Except instead of expanding into education for all, college has become a crushing burden, with skyrocketing tuition costs making decades of debt a new normal for graduates. Tuition has increased far faster than the rate of inflation, which means that unless you are well poised to translate that education into a major salary increase, it may not be worth the expense.3
Many of the best schools and institutions fail to teach many of the core vocational skills needed to succeed in the new high-skilled jobs. Although higher education has traditionally been a place where minds were shaped and characters developed, those lofty goals seem increasingly out of touch with the basic financial realities facing new graduates. Therefore, even for those who do go to college, there are very often skill gaps between what was learned in school and what is needed to succeed. Ultralearning can fill some of those gaps when going back to school isn’t an affordable option.
Rapidly changing fields also mean that professionals need to constantly learn new skills and abilities to stay relevant. While going back to school is an option for some, it’s out of reach for many. Who has the ability to put their life on hold for years as they wade through classes that may or may not end up covering the situations they actually need to deal with? Ultralearning, because it is directed by learners themselves, can fit into a wider variety of schedules and situations, targeting exactly what you need to learn without the waste.
Ultimately, it doesn’t matter if ultralearning is a suitable replacement for higher education. In many professions, having a degree isn’t just nice, it’s legally required. Doctors, lawyers, and engineers all require formal credentials to even start doing the job. However, those same professionals don’t stop learning when they leave school, and so the ability to teach oneself new subjects and skills remains essential.
Technology: New Frontiers in Learning
Technology exaggerates both the vices and the virtues of humanity. Our vices are made worse because now they are downloadable, portable, and socially transmissible. The ability to distract or delude yourself has never been greater, and as a result we are facing crises of both privacy and politics. Though those dangers are real, there is also opportunity created in their wake. For those who know how to use technology wisely, it is the easiest time in history to teach yourself something new. An amount of information vaster than was held by the Library of Alexandria is freely accessible to anyone with a device and an internet connection. Top universities such as Harvard, MIT, and Yale are publishing their best courses for free online. Forums and discussion platforms mean that you can learn in groups without ever leaving your home.
Added to these new advantages is software that accelerates the act of learning itself. Consider learning a new language, such as Chinese. A half century ago, learners needed to consult cumbersome paper dictionaries, which made learning to read a nightmare. Today’s learner has spaced-repetition systems to memorize vocabulary, document readers that translate with the tap of a button, voluminous podcast libraries offering endless opportunities for practice, and translation apps that smooth the transition to immersion. This rapid change in technology means that many of the best ways of learning old subjects have yet to be invented or rigorously applied. The space of learning possibilities is immense, just waiting for ambitious autodidacts to come up with new ways to exploit it.
Ultralearning does not require new technology, though. As I will discuss in the chapters to come, the practice has a long history, and many of the most famous minds could be described as having applied some version of it. However, technology offers an incredible opportunity for innovation. There are still many ways to learn things that we have yet to fully explore. Perhaps certain learning tasks could be made far easier or even obsolete, with the right technical innovation. Aggressive and efficiency-minded ultralearners will be the first to master them.
Accelerate, Transition, and Rescue Your Career with Ultralearning
The trends toward skill polarization in the economy, skyrocketing tuition, and new technology are all global. But what does ultralearning actually look like for an individual? I believe there are three main cases in which this strategy for quickly acquiring hard skills can apply: accelerating the career you have, transitioning to a new career, and cultivating a hidden advantage in a competitive world.
To see how ultralearning can accelerate the career you already have, consider Colby Durant. After graduating from college, she started work at a web development firm but wanted to make faster progress. She took on an ultralearning project to learn copywriting. After taking the initiative and showing her boss what she could do, she was able to get a promotion. By choosing a valuable skill and focusing on quickly developing proficiency, you can accelerate your normal career progression.
Learning is often the major obstacle to transitioning to the career you want to have. Vishal Maini, for instance, was comfortable in his marketing role in the tech world. But he dreamed of being more closely involved with artificial intelligence research. Unfortunately, that was a deep technical skill set that he hadn’t acquired. Through a careful six-month ultralearning project, howe
ver, he was able to develop strong enough skills that he could switch fields and get a job working in the field he wanted.
Finally, an ultralearning project can augment the other skills and assets you’ve cultivated in your work. Diana Fehsenfeld worked as a librarian for years in her native New Zealand. Facing government cutbacks and rapid technologization of her field, she was worried that her professional experience might not be enough to keep up. As a result, she undertook two ultralearning projects, one to learn statistics and the programming language R and another on data visualization. Those skills were in demand in her industry, and adding them to her background as a librarian gave her the tools to go from bleak prospects to being indispensable.
Beyond Business: The Call to Ultralearning
Ultralearning is a potent skill for dealing with a changing world. The ability to learn hard things quickly is going to become increasingly valuable, and thus it is worth developing to whatever extent you can, even if it requires some investment first.
Professional success, however, was rarely the thing that motivated the ultralearners I met—including those who ended up making the most money from their new skills. Instead it was a compelling vision of what they wanted to do, a deep curiosity, or even the challenge itself that drove them forward. Eric Barone didn’t pursue his passion in solitude for five years to become a millionaire but because he wanted the satisfaction of creating something that perfectly matched his vision. Roger Craig didn’t want to go on Jeopardy! to win prize money but to push himself to compete on the show he had loved since he was a child. Benny Lewis didn’t learn languages to become a technical translator, or later a popular blogger, but because he loved traveling and interacting with the people he met along the way. The best ultralearners are those who blend the practical reasons for learning a skill with an inspiration that comes from something that excites them.
There’s an added benefit to ultralearning that transcends even the skills one learns with it. Doing hard things, particularly things that involve learning something new, stretches your self-conception. It gives you confidence that you might be able to do things that you couldn’t do before. My feeling after my MIT Challenge wasn’t just a deepened interest in math and computer science but an expansion in possibility: If I could do this, what else could I do that I was hesitant to try before? Learning, at its core, is a broadening of horizons, of seeing things that were previously invisible and of recognizing capabilities within yourself that you didn’t know existed. I see no higher justification for pursuing the intense and devoted efforts of the ultralearners I’ve described than this expansion of what is possible. What could you learn if you took the right approach to make it successful? Who could you become?
What About Talent? The Terence Tao Problem
Terence Tao is smart. By age two, he had taught himself to read. At age seven, he was taking high school math classes. By seventeen, he had finished his master’s thesis. It was titled “Convolution Operators Generated by Right-Monogenic and Harmonic Kernels.” After that, he got a PhD from Princeton, won the coveted Fields Medal (called by some the “Nobel Prize for mathematics”), and is considered to be one of the best mathematical minds alive today. Though many mathematicians are extreme specialists—rare orchids adapted to thrive only on a particular branch of the mathematical tree—Tao is phenomenally diverse. He regularly collaborates with mathematicians and makes important contributions to distant fields. This virtuosity caused one colleague to liken his ability to “a leading English-language novelist suddenly producing the definitive Russian novel.”4
What’s more, there doesn’t seem to be an obvious explanation for his feats. He was precocious, certainly, but his success in mathematics didn’t come from aggressively overbearing parents pushing him to study. His childhood was filled playing with his two younger brothers, inventing games with the family’s Scrabble board and mah-jongg tiles, and drawing imaginary maps of fantasy terrain. Normal kid stuff. Nor does he seem to have a particularly innovative studying method. As noted in his profile in the New York Times, he coasted on his intelligence so far that, upon reaching his PhD, he fell back “on his usual test-prep strategy: last-minute cramming.” Although that approach faltered once he reached the pinnacle of his field, the fact that he breezed through classes for so long points to a powerful mind rather than some unique strategy. Genius is a word thrown around too casually, but in Tao’s case the label certainly sticks.
Terence Tao and other naturally gifted learners present a major challenge for the universality of ultralearning. If people like Tao can accomplish so much without aggressive or inventive studying methods, why should we bother investigating the habits and methods of other impressive learners? Even if the feats of Lewis, Barone, or Craig don’t reach the level of Tao’s brilliance, perhaps their accomplishments also are due to some hidden intellectual ability that normal people lack. If this were so, ultralearning might be something interesting to examine but not something you could actually replicate.
Putting Talent Aside
What role does natural talent play? How can we examine what causes someone’s success when the shadow of intelligence and innate gifts looms over us? What do stories like Tao’s mean for mere mortals who just want to improve their capacity to learn?
The psychologist K. Anders Ericsson argues that particular types of practice can change most attributes necessary for becoming an expert-level performer with the exception of the innate traits of height and body size. Other researchers are less optimistic about the malleability of our natures. Many argue that a substantial proportion, perhaps most, of our intelligence is genetically derived. If intelligence comes mostly from genes, why not use that to explain ultralearning instead of ultralearners’ use of a more effective method or strategy? Tao’s success in mathematics doesn’t seem to be owed to something easily replicable by normal human beings, so why assume that any of the ultralearners are any different?
I take a middle position between those two extremes. I think that natural talents exist and that they undoubtedly influence the results we see (especially at extreme levels, as in the case of Tao). I also believe that strategy and method matter, too. Throughout this book, I will cover science showing how making changes to how you learn can impact your effectiveness. Each of the principles is something that, if applied appropriately, will make you a better learner regardless of whether your starting point is dull or brilliant.
My approach in telling stories for this book, therefore, will not be to try to determine what the sole cause is of someone’s intellectual success. Not only is this impossible, but it isn’t particularly useful. Instead, I’m going to use stories and anecdotes to illustrate and isolate what are the most practical and useful things you can do to improve how you learn. The ultralearners I mention should serve as exemplars you can use to see how a principle applies in practice, not a guarantee that you can achieve an identical result with identical effort.
Finding Time for Ultralearning
Another doubt that may have formed in your mind when reading so far is asking how you’ll find time to do these intensive learning projects. You may worry that this advice won’t apply to you because you already have work, school, or family commitments that prevent you from throwing yourself into learning full-time.
In practice, however, this usually isn’t a problem. There are three main ways you can apply the ideas of ultralearning, even if you have to manage other commitments and challenges in your life: new part-time projects, learning sabbaticals, and reimagining existing learning efforts.
The first way is by pursuing ultralearning part-time. The most dramatic examples of learning success tend to be those where the ultralearner put impressive amounts of time into the project. Spending fifty hours a week on a project will accomplish more than spending five hours a week on it, even if the efficiency is the same, and thus the most captivating stories usually involve heroic schedules. Though this makes for good storytelling, it’s actually unnecessary when it comes
to pursuing your own ultralearning projects. The core of the ultralearning strategy is intensity and a willingness to prioritize effectiveness. Whether this happens on a full-time schedule or just a couple hours per week is completely up to you. As I’ll discuss in chapter 10, a spread-out schedule may even be more efficient in terms of long-term memory. Whenever you read about an intensive schedule in this book, feel free to adapt it to your own situation, taking a more leisurely pace while employing the same ruthlessly efficient tactics.
The second way is by pursuing ultralearning during gaps in work and school. Many of the people I interviewed did their projects during temporary unemployment, career transitions, semesters off, or sabbaticals. Although these aren’t as reliable to plan for, a burst of learning may be perfect for you if you know you’re about to have this kind of time off. That was one of my motivations for pursuing my MIT Challenge when I did: I had just graduated, so extending my existing student life another year was easier than pushing it out for four. If I had to do the same project today, I might have done it over a longer period of time, over some evenings and weekends, since my work is less flexible today than it was in that moment of transition from school to working life.
The third way is to integrate ultralearning principles into the time and energy you already devote to learning. Think about the last business book you read or the time you tried to pick up Spanish, pottery, or programming. What about that new software you needed to learn for work? Those professional development hours you need to log to maintain your certification? Ultralearning doesn’t have to be an additional activity; it can inform the time you already spend learning. How can you align the learning and studies you already need to do with the principles for maximizing effectiveness?
