By: A Staff Writer
Updated on: Nov 23, 2023
The Human Side of Automation: Reskilling the Workforce for the Future
Introduction The acceleration of intelligent automation across industries is raising pertinent questions regarding the future of human work. While machines take on repeatable tasks, the need for distinctly human skills like creativity, empathy, judgement and collaboration only continues to grow. This underscores why responsible automation must be accompanied by strategic workforce planning and reskilling.
CXOs have a crucial role to play on this human side of automation spanning the following aspects:
The starting point is identifying functions, activities and tasks likely to get automated using assessment models and risk matrices. Analytics can size expected redundancy and change impact across business units, job families and locations. Such visibility allows targeting reskilling interventions towards vulnerable roles, high-risk profiles and disruption hotspots.
The next step is determining emerging proficiency gaps as technology redefines roles. Capability estimators can quantify future human capability demand across domains like software development, data science, design thinking, advanced engineering and human-centered service. Such insights help design relevant learning interventions.
Designing Training Infrastructure
Enterprises need dedicated business and technology infrastructure powering their reskilling programs at scale, spanning:
Standardized curriculum covering next-gen proficiencies in areas like AI, robotics, internet-of-things, cybersecurity, cloud computing and augmented reality needs curation by experts based on industry outlook.
Instructional design for specific learning modalities – like virtual/blended/digital bootcamps, microlearning, apprenticeships and coaching is imperative for quality delivery.
Providing guidance and personalization matching program opportunities to employee aptitude, experience and aspirations ensures better engagement. Self-assessments can allow mapping current competencies and identifying ideal future roles.
AI recommendations can even suggest best-fit reskilling paths aligning individual profiles with business demand projections.
Integrating multiple modes of delivery accelerates capability building aligned to use cases:
Scaling Virtual Instructor-Led Training
As workplace dynamics get distributed, digital delivery models provide convenient skilling access:
Bite-sized learning focused on specific concepts allows scalable point reskilling:
Leveraging Immersive Technologies
Technologies like virtual reality, augmented reality and mixed reality promote experiential learning:
Skills development platforms continuously assess proficiency gains using AI, providing dashboard analytics on individual and cohort achievement, certification completion rates and area gaps to refine content.
Intelligent automation demands enterprises to make workforce resilience a strategic business priority today, not an afterthought. CXOs must lead the charge by institutionalizing holistic skilling infrastructure, prioritizing vulnerable profiles, enabling flexible options, and continuously optimizing programs based on real-time diagnostics. With pragmatic action, it is possible to shape an augmented future of work where both technology and human potential thrive in harmony.