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This of course is a terrible, soulless, insecure life for the workers, but since when did that really change anything? There will also be a parallel call for benefits, professional development, and compensation that smooths out the rough patches in this on-demand labor life, but such efforts will lag behind the exploitation of said labor because big business has more resources and big tech moves too fast for human-scale responses of accountability and responsibility.

Look at Linux and open-source development. The world runs on both now, and they employ millions of human beings. Many, or most, of the new open-source programmers building and running our world today are self-taught, or teach each other, to a higher degree than they are educated by formal schooling. Look at Khan Academy and the home-schooling movement, both of which in many ways outperform formal institutional education. This model for employment of self and others will also spread to other professions.

The great educator John Taylor Gatto , who won many awards for his teaching and rarely obeyed curricular requirements, says nearly all attempts to reform education make it worse.


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We are by nature learning animals. We are each also very different: both from each other and from who we were yesterday. As a society we need to take advantage of that, and nurture our natural hunger for knowledge and productive work while respecting and encouraging our diversity, a fundamental balancing feature of all nature, human and otherwise. But we will likely see a radical economic disruption in education — using new tools and means to learn and certify learning — and that is the way by which we will manage to train many more people in many new skills.

An earlier and more enduring focus on stats and statistical literacy — which can readily be taught using current affairs, for example, analyzing the poll numbers from elections, the claims made by climate change scientists, or even the excellent oral arguments in the Supreme Court Texas abortion law case — would impart skills that transferred well into IT, programming and, especially, security. About , years ago, Earth experienced its first Cambrian Explosion — a period of rapid cellular evolution and diversification that resulted in the foundation of life as we know it today. We are clearly in the dawn of a new age, one that is marked not just by advanced machines but, rather, machines that are starting to learn how to think.

Georges Hébert

Soon, those machines that can think will augment humankind, helping to unlock our creative and industrial potential. Some of the workforce will find itself displaced by automation. That includes anyone whose primary job functions are transactional bank tellers, drivers, mortgage brokers.

However, there are many fields that will begin to work alongside smart machines: doctors, journalists, teachers. The most important skill of any future worker will be adaptability.

This current Cambrian Explosion of machines will mean diversification in our systems, our interfaces, our code. Workers who have the temperament and fortitude to quickly learn new menu screens, who can find information quickly, and the like will fare well. I do not see the wide-scale emergence of training programs during the next 10 years due to the emergence of smart machines alone. The jury is very much out on the extent to which acquisition of knowledge and reasoning skills requires human interaction. We now have empirical evidence that a substantial percentage — half or more — can be gained through self-study using computer-assisted techniques.

The path forward for society as a whole is strewn with obstacles of self-interest, ignorance, flawed economics, etc.

Back to the Basics: Educational Gymnastics

Here I want to focus on other areas. The issue is not just training but cultural re-evaluation of teaching and healing as highly respected skills. Few of us make anything we use — from the building we live in to the objects we own — and these things are mostly manufactured as cheaply as possible, to be easily bought, discarded, and bought again, in a process of relentless acquisition that often brings little happiness.

Very easily accessible learning for how to fix these things themselves and making it economically rewarding, in the case of a common good — is a simple, basic example of the kind of ubiquitous craft learning that at scale would be enormously valuable. Some of this can be taught online — a key component is also online coordination. Certainly science and technology are important, but we need to refocus liberal education, not ignore it.

History, in all its complexity.

Critical thinking — how to debate, how to recognize persuasive techniques, how to understand multiple perspectives, how to mediate between different viewpoints. Key skill: how to research, how to evaluate what you see and read. Sites like Stack Overflow for software engineers demonstrate a new moral sense that learning in private is selfish.

Public learning is becoming the norm. Instead, most focus will be on childhood education for the poorer sectors of the world. Udacity is a good example of the trajectory. After starting a company to pursue the idea, he pivoted, focusing specifically on skill-oriented education that is coupled directly to the job market.

These need not be MOOCs. Even mobiles can be sources of education. I hope we will see more opportunities arising for sharing this kind of knowledge. New online credential systems will first complement, then gradually replace the old ones. The skills of the future? Those are the skills a robot cannot master yet. Leadership, design, human meta communication, critical thinking, motivating, cooperating, innovating.

In my black-and-white moments I say: Skip all knowledge training in high schools. We make you better than a robot. We let you cooperate with robots. We build your self-trust. We turn you into a decent, polite, social person.

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And most importantly, we do not mix education with religion — never. The subject-matter-specific part of a B. A large part of this time is spent not in a classroom but becoming fluent through monitored practice, including group work, internships and other high-intensity, high-interaction apprentice-like programs.

There are possibilities for adding limited skill sets to otherwise qualified workers, e. Jobs that seem viable may fall victim to a surprising development in automation see, for example, filmmaking ; new categories of work may not last long enough to support large numbers of employees. Automation and semi-automation e. Training is useful but not the end of education — only a kind of education.

As for sipping: you need not know the name of every bear to know you should avoid bears. Yet the continual construction of knowledge and cultures requires more from us. So far, training formally as in Kahn Academy and Lynda. No programmer or developer could keep up without the informal training of Stack Overflow.

No need for debate. A little information sip will let us know. But what is left out? Collaborative construction of knowledge in new areas, deeper investigation into known areas, and the discovery of entirely new areas of knowledge. This is our challenge: how to create wisdom from knowledge, not just jobs from training and information.

Today programming is increasingly become a trade. The problem with many websites is not so much the training of the programmers as much as getting managers and C-level people who understand the new concepts of a world being redefined by software.

Circuit training examples

We need to think about co-evolving work and workers. And, as always, critical thinking will remain the biggest challenge. Rigorous science and humanities courses help students learn how to learn. Skills training all too often does not. Of course, it can complement core academic courses, and is likely to be part of a lifetime of learning for those switching occupations. But turning high school and college into narrow vocational education programs would make their graduates more vulnerable to robotic replacement, not less.

We need to invest in higher education, shoring up support for traditional universities and colleges, lest they eventually become bastions for reproduction of an elite, leaving the rest of society to untested experiments or online programs. Online learning is a good complement for existing colleges — but cannot replace them. Online-only programs emphasize the upside of high-tech approaches, but rarely grapple with the downside.


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Big-data surveillance will track the work students do, ostensibly in order to customize learning. Get stuck on a lesson? Just keep interfacing with a keyboard, camera and perhaps haptic sensors.