Artificial intelligence is about training computer models to perform tasks that normally require human intelligence. In marketing, this means using AI to spot patterns and trends in customer data, make predictions about what customers will want, and automate creative and communication tasks.
AI helps businesses achieve core marketing objectives more effectively — understanding the customer better by analysing huge amounts of data, personalising the experience by moving from one advert for everyone to a unique message for each person, improving efficiency by automating repetitive tasks, and supporting customer retention (e.g. predicting which customers are at risk of leaving, and sending them a targeted offer).
AI & Personalisation
AI analyses a customer's past behaviour — clicks, purchases, views — to show them content or products they're most likely to want, e.g. a streaming service recommending shows based on viewing history, or a retailer showing "customers who bought this also bought…" suggestions.
AI & Content Creation
Generative AI can create marketing content, from simple text to complex images — writing multiple ad headlines to test which performs best, generating ideas for social media scripts or captions, or writing unique product descriptions at scale.
AI & Customer Service
AI-powered chatbots handle common customer queries around the clock, freeing up human staff for more complex issues — e.g. answering "where is my order?" or basic account questions.
AI & Dynamic Pricing
AI can adjust prices in real time based on demand, competition and other factors — known as dynamic pricing. Examples include ride-hailing "surge pricing" during periods of high demand, and airline ticket prices changing based on how many seats remain and how close it is to the departure date.
Benefits and Drawbacks of AI in Marketing
Benefits
Drawbacks
BenefitsImproved ROI
DrawbacksCost of implementing AI tools
BenefitsEnhanced customer experience
DrawbacksData privacy concerns
BenefitsIncreased efficiency
DrawbacksJob displacement risk
BenefitsBetter decision-making from data
DrawbacksPotential AI bias, and less human interaction
Not every business can use AI to the same extent — a huge multinational may have the data and budget for it, while a small local business often doesn't. Whether the goal is cutting costs or building deep, personal relationships, and whether customers are comfortable with data-driven marketing, both affect how appropriate AI is for a given business. The most successful strategies often blend AI-powered efficiency with human creativity and oversight.
Real-World Case Studies
Klarna — a real AI customer service rollout, and its limits
Klarna's AI customer service assistant handled 2.3 million conversations in its first month after launching in February 2024 — around two-thirds of all Klarna's customer service chats, doing the equivalent work of roughly 700 full-time staff, and reportedly contributing an estimated $40 million improvement to profit that year. By 2025, however, Klarna had publicly walked back some of its AI-only approach and reintroduced human agents for more complex cases, while still using AI to handle around two-thirds of inquiries (now equivalent to 853 full-time staff by late 2025). This is a genuine, well-documented example of both AI's real efficiency benefits in marketing/customer service, and a real business discovering the practical limits of relying on it entirely.
Source: verified via search, September 2026 — OpenAI's and Klarna's own reporting, and CX Dive's 2025 coverage of Klarna's AI strategy adjustment.
Personalisation at scale — Tesco's AI-driven Clubcard strategy
Tesco now personalises 100% of active Clubcard customers' grocery home shopping journeys on a one-to-one basis and runs more than 10,000 different "Clubcard Prices" each week. In 2026 it partnered with Adobe specifically to deepen its use of AI-driven personalised marketing, using customer data to make offers and content more relevant to each individual shopper. This shows exactly the kind of large-scale, data-driven personalisation that AI makes practical — a level of individual targeting that would be far too labour-intensive to do manually across millions of customers.
Source: verified via search, September 2026 — Marketing Week's 2026 coverage of Tesco's AI-driven Clubcard personalisation.
AI Use, or Human Judgement?
Tap an example, then tap whether it's mainly AI automation, or a task that still relies on human judgement.
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Quick Knowledge Check
Short, snappy recall questions — tap to reveal the answer.
What is dynamic pricing? (1 mark)
Using AI to adjust prices in real time based on demand, competition and other factors.
Give one benefit of AI in marketing. (1 mark)
Any one of: improved ROI, enhanced customer experience, increased efficiency, better decision-making.
Give one drawback of AI in marketing. (1 mark)
Any one of: cost, data privacy concerns, job displacement, AI bias, less human interaction.
Key Term Flashcards
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Tap a card to flip it, then rate yourself.
Dynamic Pricing
Using AI to adjust prices in real time based on demand, competition and other factors.
Generative AI
AI that creates new content — text, images or video — such as ad copy or product descriptions.
AI Chatbot
A tool that automatically handles common customer queries 24/7, freeing up staff for complex issues.
A*/A Stretch
Examiner's eye
Evaluative answers on AI in marketing should weigh the business's size and resources, not just the general pros/cons of AI — a small independent business considering AI tools faces a very different cost/benefit trade-off from a large multinational with existing customer data and an AI budget.
Common misconception
Klarna's experience shows that "more AI automation" isn't automatically better — even a large, technically sophisticated business found it needed to bring human agents back for complex cases, after initially automating almost entirely. A strong answer treats AI as one tool to be balanced against human judgement, not a wholesale replacement for it.
Try This With AI
Before using this: AI tools can get facts or mark scheme details wrong, and quality varies by tool. Always check anything factual against your notes or ask your teacher.
Give me a short scenario about a business deciding whether to introduce an AI chatbot for customer service. Ask me to weigh up one benefit and one drawback specific to that business, and to reach a justified recommendation. Mark my answer and check I've reached a clear judgement, not just listed pros and cons.