AI won't save a bad brief: what creatives want to see in the age of automation
AI can generate a hundred variations of an idea in the time it used to take to do one. And for brands and their partners, this can seem like an effective shortcut for briefing. Re-imagining and re-shaping ideas, concepts and asset across all the channels a client needs in the blink of an AI.
But brands should not let this sacrifice what make a good quality brief that will lead to good quality results.
As automation takes on more of the load in brand execution, the quality of the brief becomes more important, not less. In the age of generative technological advancement, here's what creatives want to see, and why it matters more than ever in an AI-supported strategies and workflows.
1. A clear, single-minded idea - not a list of requirements
There needs to be one sharp idea to execute against, not a checklist of features and claims to shoehorn in. This matters more in the AI economy as generative tools can produce endless output at speed, but volume without a clear direction just multiplies the wrong idea faster and produces many ideas that aren’t useful. AI amplifies whatever direction it's given. Hence clarity and direction in is what you will get out. Likewise, ambiguity in, a hundred confident-looking wrong answers out.
2. Context on the moment, not just the intended message
The key parameters of where and how the work will materialise need to remain. The occasion, location and purpose – festival pop-up, in-store shelf, phone screen. AI can lead brands to feel they only need to share what they want to say as the generative tools are increasingly good at applying to any asset. But without real-life context, knowledge of constraints, and consumer behavioural insight, it won’t lead to anything useful. Without it, teams end up with technically impressive work, but that simply doesn't fit what it's competing for.
3. Don’t forget a "why," not just a "what"
A good brief gives creatives the strategic reasoning behind the ask, so they can use their extensive experience and expertise to question, build on and improve it - not just an instruction to execute. AI is very good at "what": produce X variations of Y in Z formats. It has no access to "why" unless the human asks for it. When formulating a brief with agentic support, reasoning must not be forgotten.
4. Honesty about what's already been decided
Clarity on what's genuinely fixed — logo lockup, legal claims, non-negotiable brand guidelines etc — versus what's open is essential for effective creative interpretation. This is where AI-assisted iteration lives or dies. It's only efficient if the constraints are defined upfront; otherwise teams burn away "speed" AI was meant to deliver by multiple iterations rework.
5. Time to think, not just time to produce
AI has compressed production time dramatically. It hasn't compressed thinking time, and it can't. Creatives want briefing timelines that account for ideation, not just output. The efficiency gains from AI are too often grouped as purely as faster delivery, when the smarter move is to reinvest some of that saved time into more opportunity for improved ideas. AI can’t replace the nuance of a creative the leads to a winning idea.
The bottom line
There is no doubt AI has many positive opportunities for brands and partners within the briefing journey. But in embracing them, it is crucial to not leave out the human elements that lead to a successful brand execution output.
AI has changed how fast a brand can move from brief to shelf. It hasn't changed what a brief needs to say to get there.
