Writing a resume that effectively represents your AI skills can feel overwhelming. If you’re like many of the job seekers I work with, you may believe you need to be an AI expert to secure an interview, let alone land a new role.

But the data suggests otherwise. In a survey of 1,000 U.S. hiring managers, 78 percent said AI tool proficiency was at least somewhat important, while only 19 percent called it very important, according to Resume Genius’ 2026 Hiring Insights Report. In the same survey, AI and machine learning ranked sixth on the list of the skills hiring managers prioritize, behind communication and collaboration, critical thinking, domain knowledge, project management and data analysis. Most hiring managers factor in AI, but few rank it above the skills they have screened for over decades.

Outside of AI engineering and similar technical fields, employers don’t tend to expect fluency. They just want candidates who can show that they use AI to be more effective in their actual jobs. You need to demonstrate that experience properly on your resume and in interviews to capture a recruiter’s attention.

I’ve coached more than 1,000 tech professionals and executives one-on-one. I also serve as a group coach for leaders in human resources and talent acquisition. This means I hear about what hiring managers screen for and which resume content generates interviews. What candidates think will impress a hiring manager and what actually does are often two different things.

What AI Skills Do Employers Actually Want to See?

Much of the AI career advice currently circulating pushes workers to build fluency fast. I coach candidates to take a narrower approach and try for proficiency instead because the bar is lower and more specific than many people assume.

The Resume Genius survey also asked hiring managers how they prefer candidates to demonstrate AI skills. Describing AI’s impact on their work or a task they completed in an interview came first at 26 percent. Mentioning it briefly on a resume and reflecting it through work examples tied at 19 percent each. Certifications or courses came in at 15 percent. Notably, 21 percent said they don’t want candidates emphasizing AI skills at all.

Taken together, these numbers point to something specific. Employers respond to AI experience when it shows up in the context of your actual work. That tracks with the broader shift toward skills-first hiring, where employers weigh demonstrated capability more heavily than credentials.

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