Asking which industries are going to be most impacted by Artificial Intelligence (AI) in the coming years and decades, is much like someone in
What is clear is that AI and its associated technologies will continue to advance. In Southeast Asia alone, the adoption of AI technologies stood at 14 percent in 2018, a marked increase from the 8 per cent in the previous year1. The use of AI will only trend upwards as organisations turn to this technology to plug the skills gap created by the digital transformation of traditional industries. This is set against the backdrop of a potential talent deficit of 47 million workers across
As AI becomes mainstream, today’s AI capabilities will open up to more general uses, otherwise known as Artificial General Intelligence (AGI). Once this happens, there will be fewer tasks which humans can perform more efficiently or economically. The unique economic value of humans will then be restricted to special cases like psychological therapy, entertainment and arts or roles that require human engagement or interaction to deliver value.
Before we get there, we must acknowledge that AI will generally not take over the human workforce all at once. Instead, it will start by prompting businesses to reorganise their structures to best leverage the strengths AI has to offer. In doing so, pieces of people’s jobs will be reallocated to AI, giving way to the creation of new roles and requiring humans to upskill themselves accordingly.
For instance, AI will first take on more routine accounting work such as calculations and backend processes, similar to intelligent adaptive Excel macros, while allowing accountants to handle strategic decision-making and customer interaction. Only with the emergence of AGI over time, will we see AI taking over these roles and by then, only a handful of humans will be needed to oversee the running of an organisation’s entire finance function. When this happens, we would be living in the reality of the hyper-intelligent workplace, where humans will simply provide mission critical thinking, while incorporating the intuitive skillsets of AI and robots for increased productivity.
A key thing to these roles that AI will and by of the jobs or job functions. we would case of biological lab testing as an example, equipment which
Of course, this is not to say that there will be a widespread
In general, one may say that among the last job roles to be eliminated will be those relying heavily on novel creativity, strategic decision-making, critical thinking and physical manipulations in life-or-death situations. Yet, among these roles, the routine and labour-intensive tasks will most likely be automated first as that is where most cost-savings will be obtained. To put into context –there is more money to be saved by automating car driving than helicopter piloting, and more to be saved by automating medical research than particle physics research.
In my view, the reduction of the need for humans to work for a living should be massively positive wherein an ideal world, would free up people’s time to pursue more social, artistic, intellectual and
While that is almost sure to be a rocky road given the realities of geopolitical issues and income inequality, projects such as the decentralised AI movement led by SingularityNET aims to smoothen the path towards it in a democratic and participatory way. If a substantial portion of the world’s AI brainpower is running on decentralised networks that are owned and controlled by their participants, it is more likely that the replacement of human labour with AI will unfold in a way that is beneficial for a large percentage of humanity. When that happens, we know that the AI revolution has reached the point of full success.
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