Future readiness: Learning how to learn

Image credit: Coursera

Readiness for the future of work is becoming increasingly important, agnostic of the industry we are in.

• As machines do manual tasks, “learning how to learn” and learning fast can become competitive advantages
• Automation, the gig economy, crowdsourcing, and demographic shifts could significantly impact how work is done in the future
• Automation goes beyond the elimination of routine tasks and cost cuts. Perhaps more importantly, it is about creating value for customers by focusing on problem solving and creativity
• Context-agnostic capabilities, such as skills to design superior customer experience (both from process and technology perspective) or managing change, could become more important than industry knowledge
• The capacity to anticipate change and evolving trends is important. This means institutions and individuals should embrace “scalable learning” to remain competitive
• Lastly, problem solving skills requiring intuition, creativity, judgment, persuasion, and empathy could command a premium in a machine-dominated world

Reference: Link