Language, Labor and Leadership for the 4th Industrial Revolution
Automation is the language and the driver of the 4th Industrial Revolution
Robotics: Includes physical robots (such as drones and robots used for manufacturing) and robotic process automation (technology that automates highly standardized routines and transactions).
Cognitive technologies: Include natural language processing and generation (machines that understand language), and machine learning (pattern recognition).
AI: Machines that can make predictions using deep learning, neural networks, and related techniques.
Humans and their Relationship with 'Jobs' in the 4th Industrial Revolution
"The Fourth Industrial Revolution is causing a large-scale decline in some roles as they become redundant or automated. According to the 2018 Future of Jobs Report, 75 million jobs are expected to be displaced by 2022 in 20 major economies. At the same time, technological advances and new ways of working could also create 133 million new roles, driven by large-scale growth in new products and services that would allow people to work with machines and algorithms to meet the demands of demographic shifts and economic changes."
Jobs Undergoing Re-Definition in the 4th Industrial Revolution
Standard jobs: Roles that perform work using a specified and narrow skill set. Generally organized around repeatable tasks and standard processes.
Hybrid jobs: Roles that perform work using a combination of skill sets drawing on both technical and soft skills. Historically, these types of skills have not been combined in the same job.
Superjobs: Roles that combine work and responsibilities from multiple traditional jobs, using technology to both augment and broaden the scope of the work performed and involve a more complex set of domain, technical, and human skills.
New research shows that the jobs in highest demand today, and those with the fastest acceleration in wages, are so-called “hybrid jobs” that bring together technical skills, including technology operations and data analysis and interpretation, with “soft” skills in areas such as communication, service, and collaboration.
The concept of superjobs takes this shift one step further. In a superjob, technology has not only changed the nature of the skills the job requires but has changed the nature of the work and the job itself. Superjobs require the breadth of technical and soft skills that hybrid jobs do—but also combine parts of different traditional jobs into integrated roles that leverage the significant productivity and efficiency gains that can arise when people work with smart machines, data, and algorithms.
Definition of Leadership in the 4th Industrial Revolution
"The need for human involvement complicates the widely held view that AI will automate everything. If anything, humans and their innate skills seem to be growing more important as the need to devise, implement, and validate AI solutions becomes widespread. Understanding the unique capabilities that machines and humans bring to different types of work and tasks will be critical as the focus moves from automation to the redesign of work."
Matt Sigelman, “By the numbers: The job market for data science and analytics,” Burning Glass Technologies, February 10, 2017. View in article
Examples of what superjobs could look like in government and in manufacturing, see William D. Eggers, Amrita Datar, and, Jenn Gustetic, Government jobs of the future: What will government work look like in 2025 and beyond?, Deloitte Insights, October 4, 2018; Paul Wellener, Ben Dollar, and Heather Ashton Manolian, The future of work in manufacturing: What will jobs look like in the digital era?, Deloitte Insights, January 25, 2019. View in article
Peter Evans-Greenwood, Harvey Lewis, and Jim Guszcza, “Reconstructing work: Automation, artificial intelligence, and the essential role of humans,” Deloitte Review 21, July 31, 2017. View in article