Rise of the humans – Parts 1 and 2 | KPMG | AU

Rise of the humans 1 & 2

Rise of the humans 1 & 2

We explore the integration of digital and human labour and the workforce shaping process.

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National Leader, People & Change

KPMG Australia

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Get ready for the rise of the humans

Hardly a day goes by, it seems, without apocalyptic warnings that robots in the workplace will create a dystopian destiny. The convergence of artificial intelligence, robotic process automation (RPA), machine learning, and cognitive platforms are at the forefront of the Fourth Industrial revolution. As organisations seek to streamline processes and reduce operating costs, cognitive technologies are rapidly creating a new class of intelligent automation.

Arguments range as to whether intelligent automation will remove or grow jobs but in the midst of this debate, KPMG professionals explore the ways that jobs will likely be transformed and its impact on organisations. It is important to understand the potential impacts that intelligent automation will have on the shape, size and functions of organisations and to provide guidance with this, KPMG International continues its exploration from the original Rise of the humans published in 2016. Rise of the humans part 2 explores in more detail what is involved in workforce shaping and the observations and experiences surrounding clients.

Practical advice for shaping a workforce of bots and bosses

  • Now is the time for leaders of business to conduct conversations for a higher purpose. To identify the dilemmas, challenges and key considerations that will shape the future workforce and deliver on business objectives.
  • Organisations need to develop transition strategies to manage the disruption to the workforce. Leaders need to be aware of their role and develop the skills required to ensure success.
  • Traditional supply and demand forecasting must be replaced with agile workforce shaping. a structured yet agile approach to determine the appropriate shape and size of the workforce incorporating all elements – e.g., employed vs. contingent, human vs. digital, career ladder vs. career lattice, etc.
  • Early movers are already learning lessons about the best way to deploy Intelligent Automation. One lesson is the importance of preparing the workforce and enabling them to re-skill themselves for new roles.

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