Yeah, says me 13 years into free-lancing. I rely on the ACA for access to health insurance, and on the Freelancers Union for a place to invest retirement money.
For workers, the gig economy offers the tantalizing prospect of greater opportunities for entrepreneurship, flexible jobs, and a variety of careers. But turning that promise into reality will take a major overhaul of America’s social safety net, which was designed for a different labor market and economy. (Think 1950s and a gold watch at retirement.) The fundamental priority of the gig economy era should be to attach safety net benefits—especially retirement savings and health insurance—to the individual or household rather than to the employer. (Source)
As automation substitutes for labor across the entire economy, the net displacement of workers by machines might exacerbate the gap between returns to capital and returns to labor. On the other hand, it is also possible that the displacement of workers by technology will, in aggregate, result in a net increase in safe and rewarding jobs.
We cannot foresee at this point which scenario is likely to emerge, and history suggests that the outcome is likely to be some combination of the two. However, I am convinced of one thing—that in the future, talent, more than capital, will represent the critical factor of production. This will give rise to a job market increasingly segregated into “low-skill/low-pay” and “high-skill/high-pay” segments, which in turn will lead to an increase in social tensions. (Source)
Hoping that I can see this image even after the PKM course ends. It's important for me to reflect on how un-deliberate I've been regarding Personal Knowledge Management in the past. I want to use this Wikity to learn to curate my thoughts and to constructively address the work of others.
In the Personal Knowledge Mastery class, @hjarche has challenged us to be critical in public ... thoughtful but critical. I am surprised about how nervous I am. It's so much easier to retweet a thought, or even to reflect on another's thought. But I'm pretty sure he is right that thoughtful criticism within one's network is crucial. How else will I know if my ideas are only half-baked unless someone else informs me?
But at the same time, I'm not quite ready to do it.
Interesting talk between Kara Swisher and Bradley Tusk about what to do when most jobs have been automated.
So what does that do to the environment? Because I think this is much bigger, more than auto regulation, these are all big issues. I had a very interesting interview with Gavin Newsom; he's like, "Every idea of the employee has to change. Everything. And it should be done first in California." Obviously, he wants to do that. But at the same time, it does make sense. This is where the change is happening rather dramatically.
Yeah, the future of work is obviously going to look very different than it does today, and I think the real trick with regulators and politicians is to find some people who are willing to not just — everyone sort of looks back and then they make their views based on what's already been and where the politics line up, as opposed to what can be. So a guy like Gavin Newsom's pretty rare, in that he's one of the rare forward-thinking politicians on a lot of issues.
There is so much great information in this keynote speech by Mike Caulfield, but I'm pulling out this bit because it's a good reminder to me about what works in my own online classroom.
Addressing belonging requires the ability to modify and customize materials.
Addressing relevance requires space for students to contribute, to publish, to remix.
Addressing diversity of student strengths and knowledge requires an ecosystem of many explanations, not just the “textbook” explanation. (Source)
hbr.org telling us that not only is work changing, but so also is leadership and with it, the way we learn how to lead.
Relying solely on classroom-based learning has a reputation for being inspiring in the moment but offering little to no transfer of training — nothing changes back on the job. But relying solely on on-the-job learning poses its own obstacles including lack of good feedback and limited opportunities to learn new things. The power comes from bringing formal learning and on-the-job learning together in a deliberate manner. Use formal learning to set the context and content for change in a standard and thorough way. Then practice and apply new behavior back on the job while instituting routines for manager, peer and coach feedback. (Source)
@hjarche reminds us, as part of developing our Deep Thinking muscles, that having powerful Crap Detection skills are vital.
Harold recommended this 2009 Howard Rheingold post on "Crap Detection 101." I was pleased to see it again, because long ago, I taught a class in "Technical Fluency" at Marlboro College Graduate School . Crap Detection was definitely part of the curriculum.
The first thing we all need to know about information online is how to detect crap, a technical term I use for information tainted by ignorance, inept communication, or deliberate deception. Learning to be a critical consumer of Webinfo is not rocket science. It’s not even algebra. Becoming acquainted with the fundamentals of web credibility testing is easier than learning the multiplication tables. The hard part, as always, is the exercise of flabby think-for-yourself muscles.
Another vote for learning the skills of Deep Thinking instead of expecting that the equivelent of re-tweeting will keep you employed.
Could a robot do your job? Millions of people who didn’t see automation coming will soon find out the painful way. The answer is a resounding yes.
The World Economic Forum’s Future of Jobs study predicts that 5 million jobs will be lost before 2020 as artificial intelligence, robotics, nanotechnology and other socio-economic factors replace the need for human workers.