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https://medium.com/@nath_leigh/disruption-of-mental-work-1aef08ad4fc4 Disruption of Mental Work As much of the muscle work has been replaced by machines, the brain work is starting to face a similar fate by “intelligent” software bots. Cognitive computing like IBM’s Watson is giving computers the ability to “think”, which has the potential to disrupt a wide range of occupations. Computer power will become exponentially more powerful and AI algorithms being fed Big Data from the Internet of Things will evolve from a Smart Assistants like Siri, into Smart Workers and Smart Bosses and even to Smart Teachers and Doctors within the next 20 years. Disruption of Knowledge Work A Pew report on AI, Robotics, and the Future of Jobs which asked experts, “Will networked, automated, artificial intelligence (AI) applications and robotic devices have displaced more jobs than they have created by 2025?”, one of the key themes they found and reasons to be concerned was that automation has thus far impacted mostly blue-collar employment; the coming wave of innovation threatens to upend white-collar work as well. McKinsey Global Institute found that there were 230+ million knowledge workers in 2012 which accounts for 9% of the global workforce and 27% of global employment costs. They predict a $5–7 trillion potential economic impact by 2025 of automation of knowledge work. “Over the next 10 years, the work of 110 million to 140 million knowledge workers around the globe may be handled by cognitive robotic process automation systems. his shift to robotic process automation — which digitizes labor through the use of advanced machine intelligence, engagement, analytics, big data, social media, mobile technologies and cloud computing — will change the knowledge worker labor market as we know it.” — KPMG’s Cliff Justice. On its own, each technology has the capacity to change business activity. Taken together, they have the potential to radically reshape society, businesses, the workforce and the economy. These technologies are likely to significantly boost efficiency while eliminating many historic jobs. Big Data is allowing non-routine tasks to become programmable. When there is sufficient data information and computing power available, machine learning can be applied, aiding the computerisation of more tasks.
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