Since the release of ChatGPT in November 2022, investment flows into AI technologies have increased nearly eight-fold
| Photo Credit: ChakisAtelier
The demand for generative AI training has grown significantly among learners and enterprises, according to Coursera data, highlighted in the Future of Jobs Report 2025. India and the U.S. are leading this global trend in enrolments, but the factors driving demand differ between the two countries. While individual learners primarily drive demand in the U.S., corporate sponsorship plays a significant role in boosting enrolments in India.
Globally, individual learners on Coursera are focusing on foundational generative AI skills and conceptual topics, such as prompt engineering, trustworthy AI practices, and strategic decision-making around AI. Meanwhile, institution-sponsored learners are prioritising practical workplace applications, including using AI to enhance productivity in tools such as Excel or developing applications with AI-driven solutions.
Chart 1 shows the Generative AI enrolment trend in 2022-2024 in Coursera.
The demand for generative AI training is not happening in isolation but is closely tied to broader technological shifts reshaping industries worldwide. The survey reveals that among nine transformative technologies, AI and information processing technologies are expected to have the most significant impact on businesses by 2030, with 86% of employers identifying them as likely to drive business transformation. This surpasses the anticipated influence of robots and autonomous systems (58%) or energy generation and storage technologies (41%).
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Chart 2 shows the technology trends driving business transformation, as answered by the surveyed employers.
Since the release of ChatGPT in November 2022, investment flows into AI technologies have increased nearly eight-fold, driving significant advancements in the field. This influx of capital has been matched by investment in the physical infrastructure required to support these technologies, such as servers.
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The growing demand for generative AI training is also closely tied to the shifting landscape of job roles driven by technological advancements. Employers expect technological developments such as AI and robotics to play a pivotal role in shaping the workforce, says the survey.
By 2030, roles such as Big Data Specialists, FinTech Engineers, AI and Machine Learning Specialists, and Software and Applications Developers are projected to experience the fastest net growth.
Chart 3 shows the top jobs by fastest net growth as projected by surveyed employers.
The interplay of humans, machines, and algorithms is fundamentally reshaping the nature of work. Automation and advancements in technology are driving a shift in how tasks are performed across industries.
According to the survey, 47% of tasks today are completed primarily by humans, while 22% are handled mainly by technology, and 30% involve a mix of both. By 2030, tasks are expected to be more equally divided.
This shift is driven largely by increased automation. Of the nearly 15% point reduction expected in the proportion of work tasks performed solely by humans between 2025 and 2030, approximately 82% will be attributable to advancing automation, while the remaining 19% will result from expanded human-machine collaboration.
Chart 4 shows the share of work tasks expected to be delivered predominantly by human workers, by technology, or by a combination of both.
This transition highlights the growing importance of equipping the workforce with the skills needed to thrive in a world increasingly shared with intelligent machines.
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Published – February 03, 2025 07:00 am IST