The world is in a perpetual state of change and evolution, and the landscape of careers and employment has transformed significantly from the times our parents or grandparents experienced. The driving forces behind this shift are globalization and technology.
Looking ahead to 2024, one prominent trend that is expected to further unfold is the profound impact of breakthrough technologies, particularly Artificial Intelligence (AI). Even individuals outside the tech industry will feel the repercussions of AI. According to Nexford University, by 2030, AI is projected to replace 300 million full-time jobs globally and could potentially take over a quarter of work tasks. While these figures may be daunting, it's important to note that AI will primarily replace jobs held by individuals who lack proficiency in using AI. The rapid evolution of Generative AI tools, coupled with their increasing proficiency in AI-augmented work, highlights the importance of understanding the limitations and identifying areas where AI can enhance job roles, thereby ensuring job security.
Employee experience has become a paramount consideration in the contemporary job landscape. Unlike any other period in job history, organizations recognize that customer experience is crucial for fostering lifelong relationships and generating recurring business. The impact of Covid-19 has significantly shifted perspectives on job satisfaction, with employees valuing this aspect more than ever. The pandemic has also influenced expectations regarding work-life balance, leading to a rise in remote work. As of 2023, Forbes reports that 12.7% of full-time employees work from home, and 28.2% follow a hybrid work model.
Digitization and the datafication of work have become integral aspects of our professional lives in 2024. Data now permeates every facet of our work, from the metrics used to assess productivity to the information leveraged for better decision-making and more efficient processes. In this evolving landscape, a basic proficiency in creating spreadsheets in Excel is no longer sufficient. While one doesn't necessarily need a data science degree, having a broad understanding of emerging tools and platforms, as well as the ability to identify opportunities to leverage them, is essential for those aiming to make a meaningful impact in their professional endeavours.