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AI Is Not a Marketing Strategy: My Honest Take After a Year Using It Daily
By Joseph Maina · · 5 min read
I use AI tools every day of my working life, for content, research, and even parts of this website. After a year of that, I have a clear view on what they are actually good for, and where I see brands quietly hurting themselves by leaning on AI for things it was never built to do.
Where AI genuinely earns its place
Drafting, summarising, and speeding up production are where these tools shine. A first draft of an ad script, a content calendar skeleton, or a quick summary of a messy client brief takes minutes instead of an afternoon.
I use it daily for exactly this kind of work, and it has made me faster without making the work worse, as long as I am the one editing what comes out before a client or an ad platform ever sees it.
Where it quietly hurts brands
Strategy is the biggest one. AI can describe a strategy convincingly without knowing your margins, your actual customers, or what your competitors are doing right now in Nairobi this month. It will confidently give you a plan that sounds right and is wrong for your business.
Voice is the second one. Unedited AI copy has a recognisable rhythm, and Kenyan audiences notice when a brand's Instagram caption suddenly stops sounding like a person. That gap in authenticity costs more trust than most business owners realise.
How I actually use it on this website
This site's blog section runs on AI-assisted drafting with a system prompt built around Nairobi and Kenyan context, but every post gets a real edit pass before it is published. The AI writes a first draft, not the final version.
That split, AI for speed and a human for judgement and voice, is the same one I recommend to every client who asks whether they should just let a tool run their content.
My advice if you're deciding how much to lean on it
Use it for volume: first drafts, variations, research summaries, and repetitive formatting work. Do not use it to decide your budget, your targeting, or your brand's voice without a person who knows the business checking the output first.
The businesses getting real value from AI right now are not the ones using it the most. They are the ones being precise about which five percent of the work they still refuse to hand over.