-
My Account
5 essential AI skills that you must learn in 2025 to 'protect' your job
AI is coming for your jobs and whether there's truth in that statement or not. Learning some AI skills might help you secure your jobs. Here are five AI-era skills that will be crucial for every working professional in coming future.
1/5
Data literacy
Being comfortable with data will become non-negotiable. While not everyone needs to be a data scientist, understanding how to interpret, analyze, and act on data will be vital across roles. The ability to draw insights from data visualizations and trends will be expected in everyday decision-making.
Being comfortable with data will become non-negotiable. While not everyone needs to be a data scientist, understanding how to interpret, analyze, and act on data will be vital across roles. The ability to draw insights from data visualizations and trends will be expected in everyday decision-making.
2/5
Understanding large language models (LLMs)
Familiarity with tools like GPT and other LLMs will be critical. Professionals should go beyond using these tools passively—learning how to prompt them effectively, assess their output, and identify limitations will boost productivity and accuracy. Prompt engineering is just the start.
Familiarity with tools like GPT and other LLMs will be critical. Professionals should go beyond using these tools passively—learning how to prompt them effectively, assess their output, and identify limitations will boost productivity and accuracy. Prompt engineering is just the start.
3/5
Design thinking and problem-solving
As machines take over repetitive work, human roles will increasingly demand problem-solving and creativity. Design thinking, which focuses on user-centric solutions through iterative testing, will help professionals approach challenges in a structured way. Defining the problem accurately will be as important as solving it.
As machines take over repetitive work, human roles will increasingly demand problem-solving and creativity. Design thinking, which focuses on user-centric solutions through iterative testing, will help professionals approach challenges in a structured way. Defining the problem accurately will be as important as solving it.
4/5
Ethics and responsible AI use
Understanding how to build and deploy AI responsibly is essential. This includes awareness of bias, fairness, transparency, and accountability. Zavery emphasizes that AI ethics is not just for developers—it’s for anyone involved in using or implementing AI-driven systems. Organizations are already looking for people who can help shape ethical practices.
Understanding how to build and deploy AI responsibly is essential. This includes awareness of bias, fairness, transparency, and accountability. Zavery emphasizes that AI ethics is not just for developers—it’s for anyone involved in using or implementing AI-driven systems. Organizations are already looking for people who can help shape ethical practices.
5/5
AI-human collaboration
One of the most important soft skills of the future will be the ability to work effectively with both humans and machines. This includes translating business needs into machine-executable instructions and clearly communicating AI-generated insights to teams and stakeholders. Collaboration across disciplines and tools will define the future of work.
One of the most important soft skills of the future will be the ability to work effectively with both humans and machines. This includes translating business needs into machine-executable instructions and clearly communicating AI-generated insights to teams and stakeholders. Collaboration across disciplines and tools will define the future of work.
Discover the latest Business News, Budget 2025 News, Sensex, and Nifty updates. Obtain Personal Finance insights, tax queries, and expert opinions on Moneycontrol or download the Moneycontrol App to stay updated!
