Most routine, standardized work will be automated, as we enter The Second Machine Age. Any process that can be analyzed and mapped is the raw material for a machine, whether it be a computer or a robot. Cashiers, bank tellers, managers, and lawyers are some of the vocations that have been automated. In the near future, taxi drivers, analysts, and researchers will join them. (more…)
We show that over the past 40 years, structural change within the labor market has revealed itself during downturns and recoveries. The arrival of robotics, computing, and information technology has allowed for a large-scale automation of routine tasks. This has meant that the elimination of middle-wage jobs during recessions has not been accompanied by the return of such jobs afterward. This is true of both blue-collar jobs, like those in production occupations, and white-collar jobs in office and administrative support occupations. Thus, the disappearance of job opportunities in routine occupations is leading to jobless recoveries. – Third Way: Jobless recoveries
Oscar Berg has further developed his digital collaboration canvas that describes nine capabilities required for collaborative knowledge work. He includes a handy CC-licensed worksheet to go with it. Oscar’s original work on this subject was part of my inspiration while working on a way to describe the required facets on an enterprise social network (ESN). I described how I developed the framework, based on the work of Oscar and others, in a presentation at the Learning Technologies conference in 2014. A recording of my presentation is available as well. (more…)
Professor Lynda Gratton at the London Business School outlines five forces in The Shift: The Future of Work is Already Here, that will shape the future patterns of work.
“Technology (think 5 billion people, digitized knowledge, ubiquitous cloud).
Globalisation (think continued bubbles and crashes, a regional underclass, the world becoming urban, frugal innovation).
Longevity and demography (think Gen Y, increasing longevity, aging boomers growing old poor, global migration).
Society (think growing distrust of institutions, the decline of happiness, rearranged families)
Energy resources (think rising energy prices, environmental catastrophes displacing people, a culture of sustainability emerging).”
[Almost] Every fortnight I collate some of the observations and insights that were shared on social media. I call these Friday’s Finds.
Designers: 70% on the visual specs for upcoming features, 20% exploring new features, and 10% on wireframes for entirely new concepts/styles.
Engineers: 70% building features and fixing bugs, 20% on prototyping fledgling ideas or exploratory data analysis, and 10% on speculative initiatives like a 10x performance improvement.
Sales: 70% on closing deals, 20% on bigger I/Os for the next quarter, and 10% on long-term relationships with agencies and big advertisers.
Automation of procedural work is accelerating. What was considered knowledge work yesterday will be routine tomorrow, and workers will be replaced by software and machines. At the same time, access to real-time data is making individuals more powerful, and managers obsolete. (more…)
Openness enables knowledge-sharing, which fosters innovation through a diversity of ideas. Trust emerges in networks that are open and transparent. This is how open source software is developed. There are lessons to learn for open source work. (more…)