AI is no longer just a workplace trend. It is becoming part of how candidates present their skills.
Monster’s AI Resume Trends Report, based on an analysis of 75,000 resumes from 2023 to 2025, found that the share of resumes listing at least one AI-related term has more than tripled in two years, rising from 3.4% in 2023 to 12.8% in 2025.
That means about 1 in 8 resumes now includes at least one AI-related term, from broad concepts like artificial intelligence and machine learning to tools, frameworks, applied methods, and emerging generative AI buzzwords.
For employers, this creates both an opportunity and a challenge. More candidates are signaling AI fluency, but not every AI mentioned reflects the same level of experience. Hiring teams need to know how to evaluate whether a candidate’s AI skills are practical, relevant, and connected to the role.
Key Findings For Employers
- AI-related resume mentions more than tripled, rising from 3.4% of resumes in 2023 to 12.8% in 2025.
- The sharpest growth happened from 2024 to 2025, suggesting more workers are now formalizing AI experience as part of their core skill set.
- Foundational AI terms are driving the increase, with “Artificial Intelligence” rising to 6.3% of resumes and “Machine Learning” rising to 5.7%.
- AI tools and frameworks are growing but still limited, increasing from 0.2% of resumes in 2023 to 3.1% in 2025.
- Applied AI methods are also gaining traction, with Natural Language Processing rising to 1.7% of resumes in 2025.
- Generative AI terms are visible but not dominant, with ChatGPT/OpenAI appearing on 1% of resumes and prompt engineering on 0.6%.
What This Means For Employers
The rise in AI-related resume language shows that workers are adapting quickly to changing skill expectations. Candidates are increasingly aware that AI fluency can help them stand out.
But for hiring teams, the presence of an AI term on a resume should be treated as a starting point, not proof of proficiency.
A candidate who lists “artificial intelligence” may have broad exposure. A candidate who lists a specific tool, framework, project, or applied method may be signaling more hands-on experience. A candidate who references generative AI may be showing awareness of emerging tools, but hiring teams still need to understand how that experience was used.
In other words, AI keywords can help identify potential skill signals, but they should not replace structured evaluation.
AI Skills Are Becoming More Resume-Visible
Monster’s data shows a clear acceleration in how candidates describe AI experience. After modest growth from 2023 to 2024, AI-related resume mentions increased sharply in 2025.
This suggests that more candidates are recognizing AI as a skill worth highlighting, even if their experience varies widely.
For hiring teams, that matters because AI is no longer limited to technical roles. Candidates across functions may now list AI-related skills to show productivity, problem-solving, analysis, automation, or digital fluency.
Employers should expect to see AI language appear more often in resumes, cover letters, LinkedIn profiles, and applications. The challenge is knowing which signals are meaningful.
Foundational Terms Are Leading The Growth
The biggest gains are coming from broad AI concepts.
Terms like “Artificial Intelligence” and “Machine Learning” are now the most common AI signals on resumes. These terms can indicate general familiarity, education, coursework, project exposure, or work experience, but they do not always reveal depth. That makes follow-up important.
Hiring teams should look for context around:
- Projects completed
- Tools used
- Business problems addressed
- Data or workflows involved
- Results achieved
- Human judgment or review applied
This helps distinguish candidates who are simply naming AI from those who can apply it in ways that are useful to the business.
Tools And Frameworks May Signal More Applied Experience
Mentions of major tools and frameworks are rising, but they still appear on a relatively small share of resumes. Monster’s analysis found that tools and frameworks increased from 0.2% of resumes in 2023 to 3.1% in 2025. Examples include Scikit-learn, TensorFlow, PyTorch, Keras, and Hugging Face.
For employers hiring for technical or AI-adjacent roles, these more specific terms may offer stronger signals of hands-on experience. But even then, the resume should not be the only source of truth.
A candidate may list a tool because they used it in a course, contributed to one project, or worked with it extensively. Hiring teams should calibrate expectations based on the role level and responsibilities.
Generative AI Mentions Are Rising, But Still Early
Generative AI terms are gaining visibility, but they are not yet dominant on resumes.
Monster’s analysis found that newer generative AI terms rose to 1.5% of resumes in 2025. ChatGPT/OpenAI appeared on 1% of resumes, while prompt engineering appeared on 0.6%.
For employers, this is an important reminder: generative AI familiarity is growing, but it is still uneven.
Some candidates may be highly comfortable using generative AI tools for writing, research, analysis, coding, or workflow support. Others may have little or no hands-on experience. Hiring teams should avoid assuming that all candidates have the same level of AI readiness.
This is especially important for roles where AI literacy is becoming part of everyday work, even if the role is not technical.
How Hiring Teams Should Respond
As AI terms become more common on resumes, hiring teams should adjust how they evaluate skills.
- Update job descriptions to be specific about AI expectations. If a role requires hands-on experience with AI tools, name the tools or use cases where appropriate. If AI familiarity is helpful but not required, say that clearly.
- Train recruiters and hiring managers on what different AI terms may indicate. Broad concepts, technical frameworks, applied methods, and generative AI tools do not all signal the same thing.
- Use structured evaluation. If AI skills matter for the role, create consistent interview questions or assignments that help candidates demonstrate how they think, problem-solve, and validate AI-supported work.
Finally, avoid overvaluing buzzwords. A resume with multiple AI terms is not automatically stronger than one that clearly demonstrates business impact, adaptability, and relevant experience.
The Bottom Line
AI is becoming more visible on resumes, and that trend is likely to continue.
For employers, the opportunity is not just to search for AI keywords. It is to understand what those keywords mean, how they connect to the role, and whether candidates can apply AI skills in practical, responsible, and business-relevant ways.
Hiring teams that evaluate AI skills with more clarity can identify better-matched candidates, reduce keyword-driven noise, and make more confident hiring decisions as AI becomes part of more jobs.
Methodology
Monster analyzed a stratified keyword taxonomy of AI-related skills and terms across a random sample of 25,000 resumes per year from 2023 to 2025. Mentions were identified through standardized term matching and grouped into four categories: Core AI Concepts, Tools & Frameworks, Methods & Skills, and Emerging Buzzwords. Results are reported as the percentage of resumes containing each term and as category-level incidence, meaning the share of resumes containing at least one term in a category.
