Category: Future of Work

Posts relating to changing employment and the future of work

  • Running a post conventional company

    Running a post conventional company

    One of the most derided organisational theories of recent times has been Holacracy, a system of running organisations without managers.

    The idea behind Holacracy is job descriptions are outdated and unnecessarily limiting. Modern workplaces and roles are far more fluid than the traditional, almost militaristic, structure of the hierarchical organisation chart.

    Creator of Holacracy, Brian Robertson, describes in a Medium post how the anti-management theory came around during the early days of running a tech startup in the early 2000s.

    The impact of our deep dive into agile software development went far beyond just “how we built software”?—?it infused our culture and gave us a foundation of principles and practices for the management of the company as well. Over the next several years, we’d do our best to express this paradigm in everything we did. Agile principles became a guidepost and a measurement for all of our future experimentation, as did the highly overlapping principles of the lean movement.

    Given the tech startup roots of the idea, it’s not surprising Holacracy applies many of the principles that make up the Agile and Lean movements – particularly the hostility to micro-management.

    Moving on from Holacracy

    It’s notable that Robertson posted his background on Holacracy on Medium as the service was one of the more prominent adopters of the organisational theory, however the publishing platform has now dumped the philosophy.

    In his post about why he and his business partner have dumped Holacracy, Medium founder Ev Williams said “the system had begun to exert a small but persistent tax on both our effectiveness” however he still thought the concept has merit and traditional management structures are too slow to deal with the demands of modern business.

    The management model that most companies employ was developed over a century ago. Information flows too quickly?—?and skills are too diverse?—?for it to remain effective in the future.

    Williams’ point is right, the 19th Century military structure of businesses was fine at a time when product cycles could be measured in years if not decades. In today’s world where the life of companies, let alone products, has been drastically compressed a much more flexible and fast moving way of organising businesses is needed.

    Dynamic times

    Along with needing far more flexible and fast moving structures, organisations also have the tools to create them. Again, the days of memos moving through layers of management via manila envelopes are long gone and now we have collaborative, real time communications methods.

    One of the great changes in business over the next decade is going to be the rethinking of how organisations are managed, Holacracy may turn out not to be the answer but it is an early attempt of making sense of a very changed business world.

    Management are the one group that really hasn’t been disrupted over the past thirty years. As strange as it might sound, Holacracy is a taste of the radical changes the executive suite are about to experience.

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  • What happens when machines start to learn

    What happens when machines start to learn

    Computer programming is one of the jobs of the future. Right?

    Maybe not, as Japanese industrial robot maker Fanuc demonstrates with their latest robot that learns on the job.

    The MIT Technology Review describes how the robot analyses a task and fine tunes its own operations to do the task properly.

    Fanuc’s robot uses a technique known as deep reinforcement learning to train itself, over time, how to learn a new task. It tries picking up objects while capturing video footage of the process. Each time it succeeds or fails, it remembers how the object looked, knowledge that is used to refine a deep learning model, or a large neural network, that controls its action.

    While machines running on deep reinforcement learning won’t completely make programmers totally redundant, it shows basic operations even in those fields are going to be increasingly automated. Just knowing a programming language is not necessarily a passport to future prosperity.

    Another aspect flagged in the MIT article is how robots can learn in parallel, so groups can work together to understand and optimise tasks.

    While Fanuc and the MIT article are discussing small groups of similar computers working together it’s not hard to see this working on a global scale. What happens when your home vacuum cleaner starts talking to a US Air Force autonomous drone remains to be seen.

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  • How artificial intelligence can outguess people

    How artificial intelligence can outguess people

    It’s hard to spot locations from a photograph and it’s something people can’t do this very well. MIT’s Technology Review reports Google’s researchers have developed a tool that figures out the location of an image with twice the accuracy of humans.

    To illustrate their point Google have their Geoguesser game that allows people to pit their knowledge against the computer.

    While this could be seen as a gimmick, it again shows how computing power is being used in areas that were seen as being immune from technology not so long ago and how artificial intelligence will be applied in various fields.

    For the moment, applying artificial intelligence to seemingly trivial fields like games gives researchers to opportunity to test it before being applied to areas like cancer treatment.

    As artificial intelligence advances, a whole range of existing fields are going to be disrupted – particularly in ‘knowledge industry’ fields like law, consulting and management – while new industries and occupations will arise out of these technologies.

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  • Disrupting professional services

    Disrupting professional services

    As Irish immigrants, the founders of San Francisco payments company Stripe, John and Patrick Collison, know too well the difficulties of setting up a US based corporation.

    So the company establishing Stripe Atlas, a service to help foreign entrepreneurs set up their US presence makes sense and the payments services bundled into the package may also generate business for the brothers.

    The Stripe Atlas service also illustrates the challenges facing professional services businesses as the service automates many of the bread and butter tasks that were good earners for lawyers and accountants.

    Until recently it was thought those ‘higher level’ occupations would escape disruption, now it appears software will eat the professions as well.

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  • Tough times for startup staffers

    Tough times for startup staffers

    One of the frequently reported things about tech startups is how well they treat their staff. The truth is not always so rosy.

    At Yelp staff get free meals, drinks and snacks but many of them barely earn enough to pay the rent. A now fired staffer wrote an open letter to the company’s CEO describing how tough she found working their call centre on a wage that left her destitute.

    Similarly Buzzfeed reports working conditions at Zenefits, last year’s hottest startup, are more akin to a boiler room than the nice, relaxed offices of places like Google.

     

    While we often portray tech companies as being enlightened workplaces, the truth is they can be as harsh as any other employer. The big question for those working for tech startups though is how long their benefits and jobs will survive as the current funding crunch bites.

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