Managers are not looking for one universal list of AI skills. The strongest resume signal is a capability that matches the job’s actual work, backed by a concrete example of what you did and how you checked the result. A list of tools—or “familiarity with AI” on its own—usually leaves the important questions unanswered.
What AI skills do managers actually look for on a resume?
It depends on the role. AI-related job requirements can refer to developing AI, using AI tools in a workflow, designing systems, or working with AI-powered services. Those are different capabilities, so a software engineer and a marketer should not necessarily present the same skills.
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Indeed Hiring Lab analyzed several hundred thousand job postings containing AI-related terms, using a list of nearly 600 keywords. In its analyzed AI-related postings, nearly 74% used the term “AI,” while 2% specifically mentioned ChatGPT. The largest identified theme, core AI development and use, accounted for 52% of postings. About 25% did not fit a clear theme, an informal grouping that may include vague mentions such as “familiarity with AI.” These are patterns in Indeed’s sample, not a ranking of what every manager wants. Indeed Hiring Lab’s analysis of AI language in job postings describes the five themes and its method.
AI literacy is appearing more broadly, too. LinkedIn reported in April 2025 that AI literacy was among the most in-demand skills employers sought across jobs on its platform. It also found that three times as many C-suite executives on LinkedIn were adding AI skills to their profiles compared with two years earlier. That measures profile activity—not hiring outcomes or a requirement to list a particular tool. LinkedIn’s summary of AI skills and adoption gives the platform context.
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How should you identify the right skill for a specific job?
- Start with the posting’s core tasks. Note the AI-related actions it actually asks you to perform, rather than treating every mention of AI as interchangeable.
- Classify the capability. Is the role asking for AI literacy and applied tool use, workflow integration, systems design, or model development? Use the level and wording that fit the work.
- Look for evidence you can show. Connect the skill to a project, deliverable, or work example. Be ready to describe your contribution, not just the tool involved.
- Include the human review. Explain how you checked outputs, recognized limitations, protected quality, or escalated a decision that required human judgment.
This approach is consistent with skills-based hiring, but it is not a published employer scoring rubric. LinkedIn’s 2025 recruiting report says more than nine in ten surveyed talent-acquisition professionals believed accurate skills assessment was crucial to quality of hire. Its survey covered 1,271 recruiting professionals at management seniority or higher across 23 countries and was fielded in September 2024. LinkedIn’s Future of Recruiting 2025 describes the survey.
How do you show AI skills on a resume?
Use a bullet that makes the task, your role, and your quality check visible. A practical structure is:
Used [tool or model] to [specific task] for [project or workflow]; reviewed outputs against [source, criteria, or quality check] and delivered [verifiable result].
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For a technical project, describe relevant methods and evaluation rather than implying that using a model is the same as building one:
Built [AI-enabled workflow or model] using [relevant methods]; evaluated [accuracy, safety, or business measure] and documented human review.
If your strength is judgment about when and how to use AI, make that explicit:
Applied AI literacy to assess when [tool] was appropriate, identify limitations, and escalate decisions requiring human judgment.
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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →These are adaptable writing examples, not formulas shown to improve callbacks. Use a result only if you can substantiate it. Do not invent productivity gains, claim authorship of work generated by a tool, or suggest that a tool name alone proves proficiency.
Should you put ChatGPT on your resume?
Put it in a relevant skill or experience bullet when the target role asks for it or when a specific example demonstrates its value in your work. Name what you used it for and how you reviewed the output. Indeed’s analysis found that only 2% of the AI-related postings it examined specifically mentioned ChatGPT, so naming it without a job-related example may say little about your fit. That percentage applies to the analyzed AI-related postings, not to all job ads.
If the posting asks for a broader capability, describe that capability—such as applying AI tools in a workflow or evaluating generated output—and name a specific tool only where it adds useful detail.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Do employers care about prompt engineering?
The evidence here does not establish prompt engineering as a universally preferred resume skill or show that managers rank it above other AI capabilities. If a posting explicitly asks for it, include a relevant example. Otherwise, describe the work the prompting enabled, the result you checked, and your own contribution. That gives a reader more context than a standalone label.
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Why do human judgment and problem-solving still matter?
AI can alter tasks without removing the need for people to oversee them. Indeed Hiring Lab’s 2025 GenAI Skill Transformation Index estimated that 26% of jobs posted on Indeed in the prior year could be highly transformed by GenAI and 54% moderately transformed. It also estimated that almost half (46%) of skills in a typical US job posting were poised for “hybrid transformation,” in which human oversight remains important while GenAI handles a significant portion of routine work. These are model-based assessments of task transformation, not a survey of hiring-manager preferences. Indeed Hiring Lab’s 2025 AI at Work report explains its framework.
For a resume, the practical implication is to pair AI-related work with the judgment that kept it useful: checking accuracy, spotting limitations, solving problems, or deciding when a person needed to take over. Harvey Nash USA & Canada President and Managing Director Jason Pyle has described employers as seeking AI, machine learning, and data analytics alongside problem-solving and resourcefulness. That is an industry leader’s perspective, not a measured ranking that applies to every employer. LinkedIn’s 2025 release attributes the statement to Pyle.
Quick Recap
What should you leave off?
- Vague claims: “Familiar with AI” does not identify a task, level of skill, or example.
- Unconnected tool lists: Listing several tools without showing relevant use may not establish capability.
- Unsupported numbers: Do not claim time savings, accuracy improvements, or business results unless you have records to support them.
- Inflated ownership: Distinguish your work from AI-generated output and explain your role accurately.
- Unverified credentials: The available evidence does not establish a preferred AI certification or course. Add a credential when it is relevant to the role, not as a substitute for work evidence.
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