Marketers, it’s time to rethink how to use it effectively

AI is showing up everywhere, but that doesn’t mean it’s doing everything. Or doing everything well.
Today, it seems like every platform is calling itself AI-powered. Every deck has a line about embracing machine learning. But most of what gets labeled “AI” in advertising or marketing is just automation with better branding. You’re not seeing real intelligence.
You’re seeing shortcuts: faster guesses, templated content, performance theater. Think of programmatic ad buys that automatically optimize toward the cheapest inventory just because it gets clicks. The AI isn’t thinking about brand safety or context. It’s just reacting.
The popular pitch is always the same: “AI will fix everything. Target better. Write faster. Convert more.” However, if what you feed it isn’t grounded in reality and supported with real conversions and actual decisions, you’re not building intelligence. You’re just speeding up potential mistakes.
Where AI needs our help
AI is getting better. It can flag patterns, hint at intent, and suggest what might happen next. That’s progress. But it’s still guessing.
Models confuse activity with intent all the time. A click gets counted as engagement. A fast scroll looks like interest. CTV impressions, bot traffic, and accidental taps all get tallied without understanding what actually matters.
That’s why smart marketers don’t let the machine make the call. The focus should be on using real outcomes, customer insight, and proven behavior to keep AI focused on what works. If you’re not steering it, you’re letting it drift.
And drift leads to wasted spend, bad assumptions, and missed opportunities.
AI’s real job—enhance, not replace
Smarter teams aren’t asking AI to figure it out. They’re using it to scale what already works.
Start with outcomes. Feed it conversion data and real-time behavior, not assumptions. If you know what’s working, AI should be helping you become faster and more efficient. That’s it.
Too many brands use AI to guess their audience. They build lookalikes and spray messages across platforms. We’ve seen campaigns that lean on AI to identify in-market shoppers, only to serve ads to people who’ve already converted. The model’s chasing patterns, not context. Reach goes up. Relevance disappears. Impressions don’t convert. Costs climb. Nobody stops to ask why.
AI isn’t your strategist. It’s your engine. If you hand it a flawed plan, it won’t fix it, but it will get you to the wrong place faster.
How to use it right
AI works best when it’s reinforcing proven results. That means data tied to outcomes, not impressions.
If you know what’s driving performance, AI can help you do it faster. If you don’t, it will just amplify the noise. It’s not here to fix broken strategies. It’s here to extend experience and good judgment.
People still matter, possibly more than ever
AI can write copy, but that doesn’t mean it’s good copy.
It doesn’t know your brand. It doesn’t know your customers. You do. If you don’t, that’s your real problem.
AI won’t tell you when your tone is off, when your timing is wrong, or when the message feels disconnected. It doesn’t get context. It doesn’t know when a line sounds forced or when the audience stops trusting what you’re saying.
Someone still needs to make the call on what fits, what hits, and what fails. AI can’t feel friction. It can’t hear what people aren’t saying. That’s where good marketing lives.
The best work is coming from the people who understand AI as a tool, not those handing over control and hoping the model knows what to do with it. For Stirista, that means helping clients understand their unique customer segments and the nuance that makes messaging resonate authentically.
Where the industry goes from here
AI isn’t the future of marketing or advertising. Smarter marketers are.
The winning edge won’t come from the model. It will come from the data behind it and the people steering the output. The winners aren’t the ones with the flashiest demos. They are the ones turning smart use of AI into actual results.
This isn’t about becoming an AI company. It’s about being a better marketing company that knows when to lead and when to let the tools follow. It’s about being—or partnering with—a company focused on building a smarter marketing ecosystem where AI is a valuable tool within a broader strategy guided by data integrity and human insight.
Ask better questions. Pay attention to what you’re feeding the machine. If you’re not thinking clearly, AI won’t fix it. It will just help you fail faster.
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Mike Hilts oversees Stirista’s product innovation and development, ensuring the company’s offerings remain at the forefront of the industry. With extensive experience in product management and a deep understanding of the adtech landscape, Hilts focuses on delivering solutions that combine cutting-edge technology with user-friendly functionality.