Let’s break down the essential gen AI skills you can develop to help make you a more marketable job candidate.
First: understanding gen AI tools. Each platform has its strengths, from ChatGPT and Claude for content creation to Midjourney and Runway for video and design. Many of these tools offer free versions, allowing you to experiment at your leisure and figure out which are most helpful. (Before downloading and using new software on your work computer, remember to check with your manager and IT department to ask about any AI guidelines.)
Next, let’s talk about prompt engineering. It’s a fancy term for a simple idea: learning to talk to AI. Here’s an easy tip to remember when honing your generative AI skills: the better your prompts, the better your results. Take marketing emails, for instance. A vague prompt like “Write an email about our sale” might give you generic results. However, a detailed prompt such as “Draft an email for our loyal customers about our summer sale, highlighting our top-selling beach accessories and using a friendly, energetic tone” is more likely to deliver good output. The key is being specific about your audience, goal and style.
Finally, the ability to apply ethical considerations throughout the process will only grow in importance as a key generative AI skill. As AI gets smarter, we need to be smarter about how we use it. An ethical approach includes fact-checking AI-generated content every time you publish so you’re not inadvertently spreading inaccuracies or outright errors. Accuracy and authenticity matter, and one way to develop in-demand generative AI skills in the marketing and creative fields is to embrace your role as a responsible human professional, steering AI and catching any slipups.
Download a copy of Building Future-Forward Tech Teams from Robert Half for insight on how to address critical skills gaps in your technology organization so you can achieve your tech priorities this year, and beyond.
