We are all living longer and need the means to fund our retirement a lot of the over 50s must work for longer. Besides a lot of them want to work as they maintain intellectual curiosity and gain social needs from working. There is a lot of talk of second careers
The world of work often still considers those over 50 old or on the scrap heap, often too expensive and rigid and out of touch. Like all stereotypes there is some truth there. Against a background or new technologies and disruptive business models those over 50 need to adapt quickly as they may not be able to have an analogue second career either in employment or on their own.
So how can the over 50s adapt quickly?
Well they have three huge advantages
1. They were a generation who read, and did their learning by reading
2. They had focus, they did not have the instant news, or social media culture to distract them
3. They need to be relevant
A path to digital education for over 50s
Build a reading list
Draft a selection of brilliant books on digital disruption, cloud technology, data and analytics, social media and so and read through them
Use the internet to search out those at the forefront of digital disruption and read their stories. Reflect on what makes them unique? What need did they solve?
Subscribe to relevant magazines and websites
Magazines such as Fast company https://www.fastcompany.com/ and Wired https://www.wired.com/ were born from the internet, and others such as Inc. http://www.inc.com/ and Business week by Blomberg https://businessweek.com are just as relevant. Then there are the magazine aggregators such as magzter https://www.magzter.com/ and readly https://us.readly.com/ with an all you can eat annual subscription giving access to hundreds of magazines articles
Take a free or near free on line course
With MOOC such as Coursera https://www.coursera.org/ there are hundreds of university /college grade coursers available and a lot are free. Even those who charge a fee , its mostly a fraction of the cost of attending a full time or part time university course . Seek out courses is data and analytics, or introduction to machine learning and so on
Periodically reflect on what you have learnt. What does this mean for my industry? How can I combine my skills and what I have learnt? Is my organisation doing enough in this space