Don't Confuse AI Volume with Effective Marketing

Trust in AI companies has dropped 15 percentage points in five years. In the U.S., only 35% of people say they trust AI companies, down from 50% in 2019 (Edelman Trust Barometer, 2024).

The problem isn't the technology.

Here's what I'm seeing: businesses are treating AI like a volume dial instead of an amplifier. They're not asking whether their marketing message works; they're just cranking up how many people hear it.

Harvard professor Frances Frei has a trust model I use with every client: authenticity, empathy, and logic. When any one wobbles, the whole thing collapses. AI doesn't create these wobbles. It exposes them faster and broadcasts them wider.

The Volume Trap

My inbox is a case study in what not to do. I'm watching AI-generated outreach flood in, messages that mention case studies scraped from websites, reference company names, and look personalized. They're not.

Real personalization requires understanding the problem you solve, not proving you visited someone's website. Think of it this way: showing up to a first date and reciting facts from someone's LinkedIn profile doesn't mean you understand them. When you use AI to scale surface-level research, you're just amplifying shallow thinking.

The numbers prove it. 72% of consumers say poor personalization decreases their trust in brands. More than half will stop buying when emails lack genuine relevance.

The Authenticity Problem

You can't fake genuine interest at scale. We've all felt the "car salesman feeling," when someone pretends enthusiasm they don't have because they just want the sale. AI makes this worse because you can now deliver that fake enthusiasm to thousands of people simultaneously.

The pattern I see repeatedly: authenticity breaks when you overstate your understanding of someone's problems before you've earned that knowledge. When your AI-powered email claims to know all my pain points based on a website scrape, you've violated the first pillar.

Recovery from this violation takes more work than getting it right the first time. You've opened the door for competitors who demonstrate real understanding.

The real damage? You're not just losing that one prospect. You're training them to ignore your entire brand.

Where Empathy Gets Lost

I'll use HVAC companies as an example because this applies everywhere. Most marketing focuses on the latest technology and equipment features. But homeowners don't care about your new HVAC system specs.

Here's what they care about: It's midnight in July. The AC just died. Two kids are crying upstairs because it's too hot to sleep. Tomorrow's a workday. They need someone responsive who'll fix it right the first time, charge fairly when they're vulnerable, and send techs who take their shoes off and don't treat their home like a construction site.

That's empathy, speaking to what your audience values, not what you're excited to sell.

AI can help you reach more people, but only after you've done the work to understand what matters to them. I've seen this disconnect firsthand. When I help clients audit their marketing, the gap between what they're saying and what customers care about is the #1 issue, before we even talk about AI tools.

I use Simon Sinek's approach constantly: answer why you're doing something and who cares. If you can't answer both questions clearly, you're handicapping your marketing before AI even touches it.

The Logic Test

This pillar breaks less often in AI marketing, but when it does, the damage compounds quickly. Logic fails when your promises don't align with what you can deliver, or when your messaging doesn't match your brand.

The temptation with AI is to blast campaigns into adjacent markets because the marginal cost feels low. But brand damage from misaligned messaging costs more than the campaign saved.

What to Audit Before You Scale

Here's the exact audit I run for clients. You can do this yourself right now. Before you send that next AI-powered campaign, check these three things:

Authenticity: Are you representing what you do and why you do it? Or are you overstating your understanding of prospects you haven't spoken with?

Empathy: Do you genuinely understand the pain points you're addressing? Can you speak to what your audience values, not just what's on their website?

Logic: Does your offer make sense in context? Does it align with your brand and what you can deliver?

AI amplifies what you feed it, garbage in, garbage out at scale. When you manage these three pillars before scaling, AI becomes a superpower. When you don't, you're just amplifying mistakes faster.

You might send 1,000 emails that get a 2% response rate when you could send 100 that get 20%. Sending 10,000 bad emails doesn't build your brand. It teaches 10,000 people to ignore you.