Artificial intelligence (AI) is becoming increasingly integrated into various job functions, raising concerns among workers about which roles might be eliminated and what they can do to safeguard their careers. Companies are investing in AI to reap its benefits, creating top-level roles such as Chief AI Officer and Chief Data and Analytics Officer. AI has been a domain with a continued increase in new role creation, and almost all functions within the enterprise will be impacted by AI, although the degree of impact will vary, according to Arun Chandrasekaran, Vice President at research firm Gartner.
Roles such as AI engineers, data scientists, and data engineers are becoming highly sought after, while titles such as AI ethicists and AI architects are expected to become more common. Workers who embrace AI are expected to benefit, while those who are slow to adapt may need to upskill or risk being compared to AI-enabled machines.
AI is expected to eliminate jobs that perform repetitive and mundane tasks. Intelligent automation is fundamentally questioning the ‘need’ for many tasks, leading to many jobs and roles being eliminated, according to Harish Dunakhe, Senior Research Director at the International Data Corporation. A recent report by Goldman Sachs suggested that AI could cost the world the equivalent of 300 million full-time jobs across major economies.
However, the growing adoption of AI technology can help boost global economic growth and raise labor productivity, as seen in a report by the US investment bank Goldman Sachs. According to the report, annual global gross domestic product could grow 7% in the 10 years after at least half of companies worldwide use AI.
AI in the workplace is not new, but it has gained significant momentum with the advent of generative AI. Investors poured over $4.2 billion through 215 deals into generative AI start-ups in 2021 and 2022 after interest surged in 2019, according to data from CB Insights. Generative AI can produce various kinds of data, including audio, code, images, text, simulations, 3D objects, and videos. While it takes cues from existing data, it is also capable of generating new and unexpected outputs, according to GenerativeAI.net.
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