How much artificial-intelligence literacy should a marketing graduate develop?
A marketing graduate should aim for practical AI literacy: understand how AI and machine learning support research, segmentation, content, advertising, analytics, and customer service; use common tools responsibly; evaluate outputs for accuracy and bias; and understand privacy, copyright, transparency, and data governance. Advanced coding is optional unless pursuing a technical or specialist marketing path.
Key points
- Learn to write effective prompts, check AI-generated claims, and combine automation with human judgment.
- Understand enough data and statistics to interpret model outputs, measure campaign performance, and recognise limitations.
- Develop awareness of bias, consent, security, intellectual property, and disclosure when using customer data or generated content.
Things to check
- The expected depth varies by degree programme, country, employer, and career goal; the course syllabus and relevant professional guidance should be checked for specific requirements.