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Job Disruptions for AI Photo by Ben White on Unsplash
12 November, 2023 : By Ajoy Maitra

AI has taken over the world with its advanced methodologies. As we experience the performance and capabilities of Chat GPT and other Generative AI tools, it is evident that industries will eventually be more inclined towards it.

With sweeping flood of technological advancements, now those days are not too far that robotic process automation will overpower human capabilities.

Recently there has been mass layoffs due to the lower relevance of knowledge worker positions. This is highly concerning as now AI is taking over the cognitive competency with high accuracy rates. Chat GPT models has proven high competency even in coding or assisting in management tasks.

The advent of Fourth Industrial Revolution has started impacting and will further cause unemployment due to the increased adoption of technologies in various sectors. The expectations and dependency on the automations shifted since the COVID-19 lockdowns and remote workings.

As workforce preferred more on remote workings, the requirement of technological advancements paved way for complete process automations. As per the analysis by World Economic Forum (WEF) in the Future of Jobs Report 2023 survey,

Organizations today estimate that 34% of all business-related tasks are performed by machines, with the remaining 66% performed by humans. Task automation in 2027 is expected to vary from 35% of reasoning and decision-making to 65% of information and data processing.

Among the surveyed companies, 75% of them expect to adopt AI technologies over the next five years, as per a report of WEF in Geneva. Such will eliminate up to 26 million jobs in record-keeping and administrative positions.

WEF's Future of Jobs Report 2023 predicts that 23% of global jobs will change in the next five years due to industry transformation, including through artificial intelligence and other text, image and voice processing technologies.

Jobs Exposed to AI

IT Jobs Photo by Tim Gouw on Unsplash

Many jobs are exposed to the influence of AI and automation. The extent to which they are affected can vary as AI has the potential to automate routine and repetitive tasks, enhance productivity, and improve decision-making in various industries.

Basic education structures to employment in IT and Finance sectors are likely to be highly affected by the AI transformation.

A latest report stated that a greater proportion of workers with a bachelor's degree or higher are in jobs most exposed to AI (27%), compared to the exposure of those without a high school diploma (3%).

This being said, the Generative Pre-Trained Transformer (GPT) models are likely to replace most of the requirements in sectors where employees need to analyse or use their cognitive skills in achieving tasks. Such tasks include: coding, statistics, financial data analysis, media, legal, teaching and customer services.

Indians are more concerned of job loss than the other country counterparts. With greater number of employees in Business Process Outsourcing (BPO) and Knowledge Process Outsourcing (KPO) sectors that are more likely to get automated. As mentioned by Viswanath P.S., the Managing Director and Chief Executive at Randstad India,

There are a lot of KPOs and BPOs in India where employees work on several operational tasks that AI can potentially take over. We must also consider that AI adoption in India is among the fastest in the world.

However, on the contrary, many of the manual tasks or higher decision makings are less likely to get replaced. Distinctive of the type of work, skills including manual services or decision makings like approval on the implementation of AI, requires human professionals. As per a study on the jobs that are potentially exposed to AI,

Jobs with the least potential exposure to GenAI (including driving, cleaning & sanitation, and beauty & wellness) are also those with the lowest ability to be done remotely. The higher the odds are that a job can be done remotely, the greater its potential exposure is to GenAI-driven change.
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