the future of human work

People can never be better at computing than computers. We cannot become more efficient than machines. All we can do is be more curious, more creative, more empathetic. The fact that automation is taking away jobs once designed for people means that it is time we focus on what is really important: our humanity. Service delivery will gradually improve as machines take it over. Accidents will diminish with self-driving cars. Errors will be reduced with robotic surgeries. Many human jobs will fade away.

Just as few people do work that requires pure physical labour today, soon few of us will do routine, procedural, standardized knowledge work. As DeepMind beat the world Go champion in their first three games this week, we should take a serious look at what this means for the long term. Machines that can teach themselves may be better teachers for humans as well.

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temporary, negotiated hierarchies

Hierarchies in Perpetual Beta

A Post-Job Economy

The job was the way we redistributed wealth, making capitalists pay for the means of production and in return creating a middle class that could pay for mass produced goods. That period is almost over, as witnessed by 54 million self-employed Americans. The job is a social construct that has outlived its usefulness. Freelancing may be a replacement but often lacks a safety net, and many of the self-employed become pawns of the platform monopolists. We are entering a post-job economy. Our careers will be shorter as our lives get longer. Companies and institutions are no longer the stable source of employment they once were, as even the Fortune 500 companies now have an average lifespan of 20 years, as opposed to 60 years in 1960.

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strategic transformation of workplace learning

Is your learning and development team able to transform so it can support complex work, help people be more creative, and adapt to the changing nature of the digital workplace? Strategic transformation is more than changing what you work on.

“Strategic Transformation. This means changing the very essence of what ‘learning’ means in the company, through both a new understanding of how it happens in the workplace (i.e. not just through conventional training but as people carry out their daily jobs) and how performance problems can be solved in different ways. It also means that learning and performance improvement is no longer the sole remit of the L&D department, but something that everyone in the organisation – managers and employees alike – has responsibility for.” – Jane Hart

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unified models for work and learning

There are two models that I regularly use when explaining how organizations need to integrate learning and working in the network era. Individuals need to master the ability to negotiate social networks, communities of practice, and teams doing complex or creative work. Personal knowledge mastery is the individual skill, while working out loud helps groups stay in close contact with the work flow. Everyone needs to be adept at cooperating in the openness of social networks in order to be open to possible innovative ideas. At the same time these workers have to be focused on co-creating value at work. They also need to find a trusted middle ground to test new ideas. Communities of practice become a business necessity and a professional development imperative. This is the network learning model.

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network management update

You cannot manage a network. As networks become the dominant organizational form, the way we think about management has to change, as well as the way those in positions of authority try to influence others. In a network society, we influence through reputation, based on our previous actions. This is why working out loud and learning out loud are so important. Others need to see what we are contributing to the network. Those who contribute to their networks will be seen as valuable and hence will have a better reputation and may be able to influence others. Management in networks is fuzzy.

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learn like a gamer

Learning is the new literacy. Personal computers are just one example. We buy new ones every few years. Operating systems change. Programs change, get replaced, or become obsolete. But we often continue with the same habits until something goes wrong. Few of us do the equivalent of ‘looking under the hood’. We learn enough to get our work done, but often do not take time to understand the underlying systems and logic.

By not being active learners we lose the agility to react quickly to changing situations. We have to take the time to keep learning. It’s an effort that too many of us avoid. When was the last time you learned a new computer program? How many books do you read? When did you try to master a new skill? These are things we need to make a priority. If not, we risk becoming obsolete before our time. Aiming for retirement is not a bad thing, but what happens when it is forced on us and we are not ready?

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the printed word at electric speed

In tribal organizations, influence often comes through kinship. It still does with certain royal families. In institutions, power is exerted through the hierarchy. It is positional. Even today, in a market-dominated society, many people are their institutional job title, and feel naked without it. But those who exercise power through markets can often throw off their job titles and not worry about their formal qualifications, as long as they deliver the goods (and services). [more on TIMN]

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70:20:10 – towards 100% performance

Many books provide a good read and then go on the shelf, where they stay. The latest publication from the 70:20:10 Institute, entitled 702010 towards 100% performance, is not that type of book. It should stay on the desk of any learning & development professional and be used as a constant resource. The book is big, in number of pages, size, and content. I was amazed at how much practical information the authors were able to put into it, and how accessible it is.

The book consists of 100 practitioner-focused  articles, many of which provide checklists and examples. It is focused on helping people to implement the reference model. Five roles are identified (not all for traditional L&D professionals) with sections focused on each:

  • Performance Detective
  • Performance Architect
  • Performance Master Builder
  • Performance Game Changer
  • Performance Tracker

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connecting cooperation and collaboration

According to The Collaboration Paradox: Why Working Together Often Yields Weaker Results, some of the reasons that workplace collaboration fails is due to:

  • overconfidence in our collective thinking;
  • peer pressure to conform; and
  • reliance on others to do the work.

The article goes on to show that collaboration works when:

  • we work with people with different skills;
  • we do what each person does best; and
  • we all contribute our own work.

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platform capitalism and the post-job economy

Here are some collected thoughts on the changing nature of work and shifting wealth creation.

Platform capitalism is beginning to define the economy for the second Gilded Age we seem to be entering. It requires 4 contributing factors, which when combined, create a perfect opportunity for the ‘uberization’ of almost any industry.

  • A platform: a mobile application delivered through an oligopoly like iTunes or Google Play.
  • A critical mass of users: upwardly mobile knowledge workers, especially those in Silicon Valley or the tech sector.
  • Desperate service providers: people with no ability to organize due to weak or non-existing trade unions in their field, who see opportunities for better cash flow.
  • Lack of regulations and oversight: bureaucracies that either cannot keep up with technology advances, or political leadership that condones poor working conditions in the name of progress.

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