Artificial Intelligence (AI) is reshaping the professional world at an unprecedented pace. Across industries, integrating AI tools is no longer just a value-add; it’s quickly becoming a necessity. From automating repetitive tasks to generating powerful data-driven insights, AI streamlines workflows and transforms business functions.
The UK is currently facing an AI skills gap, so how can you take action to stay ahead of the competition? If you're a jobseeker, especially in tech-savvy fields or industries adopting AI solutions, showcasing AI skills on your CV is increasingly important.
For some roles, it's even expected to see AI expertise listed. The question is: how do you effectively highlight your AI skills? Whether you're enhancing marketing campaigns with AI-driven analytics or using AI tools to optimise workflows, these technical and soft skills can set you apart and demonstrate real value to employers.
In this article, we cover:
Essential AI skills.
Examples of AI skills for different job types.
Commonly asked questions about listing AI skills on a CV.
8 essential AI skills to list on your CV
AI is no longer a niche skill reserved for tech professionals; it’s influencing nearly every industry. Companies across healthcare, finance, marketing, customer service, and even law sectors rely on AI tools to optimise efficiency. This demand means employers actively seek candidates skilled in AI or those with familiarity and a proactive approach to incorporating AI into their work.
Must-have AI skills in 2025
Effective AI prompting: Writing clear, goal-oriented prompts and refining them iteratively.
AI tool proficiency: Using general business tools like ChatGPT or field-specific tools like Microsoft Copilot, Canva, and Jasper AI.
AI literacy: Understanding AI capabilities, limitations, ethics, and basic concepts.
Automation and integration: Automating tasks and integrating AI into workflows.
Data handling: Cleaning, organising, and analysing data with AI tools.
AI-enhanced creativity: Using AI for content creation, brainstorming, and design.
Adaptability: Quickly learning and experimenting with new AI tools.
Human-AI collaboration: Working alongside AI and providing feedback for better results.
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The workplace of the future is not about replacing people with AI, it's about collaboration. The strongest teams leverage the power of AI tools to amplify human potential.
For example:
Marketing teams use AI for automated content generation and predictive campaign analytics.
Customer service departments use AI-powered chatbots to improve response times, while humans focus on complex customer queries.
Tech teams deploy AI in cybersecurity frameworks to detect and prevent threats efficiently.
Are you curious if AI will replace or transform your job? While nothing is guaranteed, one thing is clear: times are changing, and adapting is essential. The evolving partnership between humans and AI requires professionals to embrace these tools while staying creative and strategic.
Pro Tip
Focus on mastering AI tools relevant to your field, but don’t forget to sharpen your uniquely human skills, such as critical thinking, empathy, and storytelling. These will set you apart.
Examples of AI skills
AI is reshaping industries and changing the skills in demand. To stay competitive, tailor your CV to showcase abilities relevant to AI's impact on your field. Highlight technical skills like data analysis, programming, or machine learning, and soft skills such as adaptability and problem-solving.
For example, marketers can showcase expertise in AI tools like predictive analytics, while healthcare professionals might highlight experience with AI in diagnostics. Aligning your CV with AI trends demonstrates your readiness for this evolving landscape.
Healthcare
Experience with AI tools for medical imaging, diagnostics, or patient monitoring.
Familiarity with predictive analytics for improving patient outcomes.
Learn more about how to write a healthcare CV.
Pro Tip
Stay ahead in healthcare by pairing clinical expertise with AI skills, learning to use decision-support tools, and keeping up with emerging tech like predictive analytics.
Finance
Proficiency in machine learning models for risk assessment and fraud detection.
Experience using AI to analyse financial datasets and provide strategic insights.
Discover the key to creating an impressive finance CV.
Pro Tip
Sharpen your edge by learning how to leverage AI for risk analysis, fraud detection, and forecasting. Tech-savvy finance pros will lead the future.
Customer Service
Knowledge of AI chatbots and virtual assistants for handling customer interactions.
Ability to optimise chatbot responses based on customer feedback.
Improve your customer service CV today.
Pro Tip
Use AI tools like chatbots and sentiment analysis to boost efficiency but keep honing your empathy and communication skills to deliver standout human experience.
Legal
Expertise in using AI tools to review contracts or conduct legal research.
Skills in leveraging AI for predictive analysis in case outcomes.
Create a CV by personalising our legal CV example.
Pro Tip
Embrace AI for tasks like legal research and contract analysis but stay sharp on critical thinking and interpretation, where human judgment still leads.
Marketing
Familiarity with AI tools for automating email marketing workflows.
Experience in predictive advertising for targeted campaigns.
Pro Tip
Use AI to analyse trends, personalise content, and automate campaigns but your creativity and brand storytelling will always be the game-changer.
Whether you're a writer or in social media, check out our CV writing guides below:
5 ways to list AI skills on a CV
Showcasing AI skills to recruiters requires more than just mentioning 'AI' on your CV. It’s about presenting them strategically, as a good CV highlights your strengths, aligns with the role, and makes a strong first impression, increasing your chances of standing out.
1. Personal profile
Begin with a concise overview of your background, highlighting your AI expertise. For example, “Tech-savvy marketing professional with expertise in AI-driven campaign strategies and predictive analytics.”
AI personal profile example
Skilled software developer with a strong background in integrating AI tools like Microsoft Copilot to enhance team productivity and streamline workflows. Successfully leveraged AI to write, debug, and optimise code, accelerating development timelines and efficiently scaling product launch features across 30+ regions.
For more information, refer to our guide on how to write a personal profile.
2. Work experience
Be specific about where and how you’ve used AI. Quantify your achievements where possible. Example: “Streamlined customer service operations by implementing an AI chatbot, resulting in a 25% reduction in response times.”
AI work experience example
Enhanced team productivity by integrating AI-driven code review tools, reducing code review times by 30% and improving accuracy by identifying critical bugs earlier. Spearheaded the development of an AI-powered feature that personalised user experiences, contributing to a 20% increase in product adoption at launch. Automated repetitive testing processes using AI, cutting QA cycles by 40% and accelerating product release timelines by two weeks.
Refer to our work experience on a CV guide for more information.
3. Skills
Incorporate AI skills or create a dedicated section to showcase essential AI skills. Arrange these in a clear, bullet-point format, such as:
Examples of AI tools for marketing professionals include:
AI email marketing: Tools like Mailchimp or ActiveCampaign use AI to optimise email campaigns, personalise content, and improve delivery times.
AI social media creation: Platforms like Canvas Magic Design or Buffer's AI assistant help create social media posts, captions, and visuals.
Content generation: Tools like Jasper or Copy.ai help write blogs, ads, and other marketing materials.
SEO optimisation: SEMrush and Clearscope use AI to analyse keywords and improve search rankings.
Customer insights: Tools like HubSpot and Salesforce analyse customer data to improve targeting and engagement.
Chatbots: Solutions like Intercom or Drift offer AI-powered chatbots for customer support and lead generation.
Learn more about what skills to put on a CV.
4. Education and courses
Highlight any AI-focused training or certifications you’ve completed, such as online courses, diploma programs, or workshops. If you want to expand your skills, consider starting a course like on MasterClass, which includes creating better prompts and other essential AI techniques.
For example:
Completed Coursera’s “Machine Learning” certification by Stanford University
Participated in workshops on AI-driven automation tools to optimise workflows and increase efficiency.
Developed hands-on experience with AI platforms like TensorFlow and PyTorch for building and deploying models.
Explored AI-powered tools for natural language processing and data analysis.
Contributed to projects integrating AI solutions for business process automation.
Refer to the below guides for more information:
Key takeaways
AI expertise is now a key career asset, not optional.
Highlight how you've used AI tools to achieve concrete results.
Customise your CV to align with the specific industry you're targeting.
Showcase both technical AI skills and complementary soft skills employers value.
Position yourself as an adaptable and innovative professional in the AI-driven job market.
Next steps?
Whether you're seeking a job in AI or want to highlight your AI skills, having a good CV and cover letter is essential. Our intuitive CV and Cover Letter Builder and over 160 CV examples allow you to easily tailor your documents to your needs. Alternatively, you can use our CV Writing Services, where one of our experts can help you craft the perfect application.
FAQs
What are AI soft skills?
AI soft skills like adaptability, creativity, problem-solving, collaboration, and critical thinking are essential for effectively working with AI. Adaptability helps teams adapt to new technologies, while creativity drives innovative applications like AI in art or medicine. Problem-solving tackles issues like biases or data quality, and collaboration ensures smooth teamwork between technical and non-technical roles. Critical thinking evaluates AI outputs for ethical, accurate decisions.
How do I make my CV AI-friendly?
To make your CV AI-friendly, include AI-related keywords, highlight your experience with AI tools, and demonstrate how AI has enhanced your work.
What are the best AI skills to add to your CV?
The top AI skills to highlight can vary depending on the job role. For data scientists, expertise in machine learning, AI programming languages like Python or R, and data analysis are crucial. For software engineers, skills in building AI models, automation tools, and programming frameworks are essential. If you're applying for industry-specific roles, showcasing experience in integrating AI solutions within that field can give you a competitive edge.