![]() ![]() Simple computational tasks are automated, and analysis of structured data is conducted in the algorithm wave which we are currently in. PwC divides this transformation of automation into three main phases: algorithm wave (to early 2020s), augmentation wave (to late 2020s), and autonomy wave (to mid-2030s). PwC estimates 20% of jobs to be automated by the late 2020s and 30% of jobs to be automated by the mid-2030s. McKinsey also predicts that <5% of occupations can be entirely automated with today’s AI advances.Įxample occupations and automation potential according to McKinsey: 18% is estimated on a bottom-up estimate that 30% of activities in ~60% of all occupations can be automated. McKinsey estimates that at least ~18% of activities are possible to be automated with today’s technology. PwC estimates this automation wave to take place until the late 2020s and that automation could reach 30% of all existing jobs by mid-2030s. What share of jobs can be automated?īased on McKinsey and PwC’s analysis, ~20% of business activities can be automated using today’s technology. In the next decade, driving is likely to become automated as well, enabling one of the most common professions to be automated. These activities include tasks that involve manipulating tools, extracting data from documents and other semi-structured data sources, making tacit judgments, and even sensing emotions. Machines can now perform the activities involved in these jobs better/cheaper than humans. white-collar back-office work: data collection and processing.The jobs that can be mostly automated include The advances in AI since the rise of deep learning can usher a new age of automation as machines go beyond human capabilities in a wide range of tasks.
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