e growth of arti cial intelligence (AI) is transforming workplaces in signi cant and complex ways, many of which are not yet fully understood. For many professionals, the question is no longer whether AI will in uence their job but what the impact will be. You might think this is just another reason to worry about job security, but you should also view it as a chance to learn how to work with new tools, improve your skills, and build greater resilience in your career. As AI becomes more integrated into various sectors, the challenge will be to adapt rather than compete. To succeed, it is important to understand key categories of AI tools, how they function at work, and what practical strategies you can use to stay relevant as work changes. UNDERSTANDING AI TOOLS AND THEIR CAPABILITIES AI tools can be broadly categorized into four groups: language generation, process automation, data analysis, and decision support. Each group serves a speci c purpose in enhancing workplace e ciency, and the way people interact with them will also have unique features. Language generation tools, such as large language models (LLMs), are increasingly used for dra ing content, summarizing information, or responding to routine emails. ese tools are becoming essential parts of email and word processing so ware. As their use becomes common, it is important to become comfortable with language tools. ese are tools that can assist with early-stage creative or administrative tasks, but they still need human review and context. WORKING WITH AI: A PRACTICAL GUIDE TO STAYING RELEVANT IN THE AGE OF AUTOMATION
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