What is artificial intelligence (AI)?
Artificial intelligence is the umbrella term for software that learns rather than follows explicit rules. Instead of a programmer writing every condition, the system is trained on examples until it can handle cases it has never seen. Under the umbrella sit machine learning, which finds patterns in data; computer vision, which reads images; natural language processing, which reads and writes text; and generative AI, which produces new text, images, audio and video.
In an agency the word covers two very different things. There is the AI inside the platforms a brand already pays for, quietly deciding who sees an ad and what a search result looks like. And there is the AI a team uses by hand: assistants, image generators, transcription, translation. The first has shaped marketing for a decade. The second arrived all at once.
Why it matters
Why AI matters
It changes what is cheap. Research that took a week takes an afternoon. Transcribing an interview, drafting ten subject lines, cutting a rough assembly from a transcript, localizing a campaign into six languages: tasks that were costs become near-free, which means the price of doing them stops being a differentiator. What remains expensive is judgment: knowing which of the ten subject lines is right for this brand, and knowing when all ten are wrong.
It also changes how brands are found. Search engines now answer questions directly and assistants summarize the web, so the content a brand publishes is read by machines before it is read by people. Being accurate, clear and quotable has stopped being good practice and become distribution.
In practice
How AI works in practice
- 01
Most practical AI is a model trained on data, wrapped in a product. A platform's ad system learns from billions of outcomes which users are likely to act on which creative and allocates spend accordingly. An assistant is a large language model that has read most of the public internet and predicts the most plausible continuation of whatever you type. Neither understands the brand; both are extremely good at pattern.
- 02
The useful posture for a creative team is to hand the model the pattern work and keep the taste. Feed it the brief, the transcripts, the brand guide and the facts, let it draft, sort, summarize and vary, then decide. A team that does this well is faster at everything it was already doing and spends the saved time on the things a model cannot do, which is where the brand lives.
Watch out
What people get wrong about AI
Treating it as an oracle. A model produces confident output whether or not it is correct, and the errors are hardest to spot precisely because they read well. The other mistake is treating it as a threat to be banned rather than a tool to be governed. Teams that set rules (what it may touch, what gets checked, what never leaves the building) get the speed without the embarrassment. Rules beat bans, and they beat having no rules at all.
