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Four key AI skills anyone can learn

Whether we like it or not, artificial intelligence is changing the way we work. Having some proficiency in AI is becoming an essential tool for workers and job seekers alike – who are relying on the technology to generate ideas, automate tasks, analyse data, craft cover letters and more.

Research shows that more of us are leaning on AI to help us at work. According to Zety’s 2025 Future or Work Report95% of employees are actively participating in training or taking other steps to improve their AI skills, and 71% already use AI at work. Nearly one in four people wish their employers would make AI-powered tools readily available, a survey of more than 1,100 people by LiveCareer found.

Read more: Does AI mean less pay for workers?

For the technology-shy, the idea of embracing AI can be daunting. But learning to use it productively – and ethically – isn’t as difficult as it can seem. Although the term ‘AI skills’ encompasses the computing skills needed to design and build AI tools, not all AI skills are so technical.

AI literacy, understanding what AI can do and how to use AI systems, is an important competency that anyone can develop.

When we talk about AI, we tend to think about tools like ChatGPT, Copilot or Gemini. These are examples of generative AI, models that use existing data to create new content like text, images, videos and music. The key to using these tools is being able to write good prompts – questions, information or sentences – which influence the quality of the outputs you receive.

“Workers in any industry can benefit from learning how to write a great prompt for chatbots like Gemini and ChatGPT,” says Martin Poduška, at Kickresume. “We recently researched AI use at work and found that 78% of workers across many different industries use these tools in some way. Knowing what to include in the prompt in order to get the results you want is a skill that everyone would benefit from developing.”

AI tools are not foolproof, so it’s important to verify any facts and figures provided in an output. · Surasak Suwanmake via Getty Images

To write a good prompt, keep your instructions concise, straightforward and conversational. Outline the context of the prompt, for example, if you’re asking an AI to write an email to a client, you may want to tell it to be professional. You can refine your prompt again by changing a word or phrase if you don’t get the results you’re looking for with your first attempt.

AI tools are not foolproof, so it’s important to verify any facts and figures provided in an output and double-check any references included. Often, AI outputs can be filled with vague ‘filler’ text and buzzwords. In a paper published in 2024, academics highlighted how large language models (LLM) are proliferating ‘careless speech’ online – AI-generated output that contains “subtle inaccuracies, oversimplifications or biased responses” that are phrased confidently.

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