AI Can Destroy Brand Trust Fast

Forbes just published a Council Post titled "AI Can’t Build Brand Trust, But It Can Destroy It" (https://www.forbes.com/councils/forbesagencycouncil/2026/06/25/ai-cant-build-brand-trust-but-it-can-destroy-it/). The author makes a point every SMB founder needs to hear: when you use AI as your company voice, you compromise your strongest leverage.

My take? AI is a fantastic engine, but a terrible steering wheel. If you let the machine steer your messaging, you lose the exact advantage you have over enterprise competitors. You lose your real, human connection.

Let's talk about ai brand trust risks. We run GTM automation for revenue-share clients at Helix. We see the temptation daily. Founders want to scale outbound, so they let AI write every email, every follow-up, and every landing page. The volume goes up, but the conversion rate tanks. Why? Because prospects can smell a robot. When your outreach sounds like a generated template, trust evaporates instantly.

SMBs are uniquely at risk here. You compete on agility and relationships. You do not have a massive brand halo like Salesforce or HubSpot. People buy from you because they trust you, the founder, or your small team. When you replace that with generic AI copy, you strip away your only competitive advantage. Enterprise companies can afford to sound corporate. You cannot.

The Forbes piece specifically notes that AI is transformative, but using it as the voice of the company compromises your most powerful leverage. What is that leverage? It is the ability to pick up the phone, have a real conversation, and show a prospect you actually understand their problem. AI can simulate understanding, but simulation is not empathy. When a prospect senses simulation, trust breaks.

So how do you use AI without nuking your brand? You separate the work from the voice.

Automate the work, not the relationship Use AI to scrape intent data, summarize 10-K reports, and draft outlines. Let it process the heavy lifting of research. Then have a human add the actual voice. The machine finds the signal. The human translates it into something another human wants to read.

Guard your high-stakes touchpoints A welcome email to a new user? A cold pitch to a dream client? These need a human touch. AI can prep the research and suggest a structure, but a person needs to write the hook. If your first impression is a ChatGPT template, your last impression will be a delete button.

Review output for the "AI accent" Words like "delve", "tapestry", and "moreover" are dead giveaways. If your AI output sounds like a college essay, rewrite it to sound like a text message to a colleague. Keep it short. Keep it direct. Cut the fluff.

Here is a practical workflow we use for our clients:

1. AI for Research: Feed it data. Ask it to find patterns in your ideal customer profiles. Let it read earnings calls and summarize pain points.
2. AI for Drafting: Let it write the first pass of an email sequence. Let it build the structure of a sales page.
3. Human for Voice: This is where you step in. You take the draft and inject your specific point of view. Add the joke. Add the specific call-out that only a human would notice.
4. AI for Delivery: Use automation to send the emails, track the opens, and route the replies. The machine is great at routing and logistics.

Imagine you sell supply chain software to mid-market logistics companies. If you send an AI-generated email that says "I hope this message finds you well, I would love to delve into your synergies," you get deleted. If you send an email that says "Saw your Q3 shipping delays on the east coast, we fixed that for ABC Corp by doing X," you get a reply. AI can find the Q3 delay. AI can find the ABC Corp case study. But you need to write the sentence that connects them in a way a logistics director respects.

These ai brand trust risks are not theoretical. They hit your pipeline today. Every generic email you send trains your market to ignore you. Every robotic support reply trains your customers to leave.

At Helix, we build GTM automation for SMBs. We use AI constantly. But we use it to make our operators faster and sharper, not to replace their judgment. Our revenue-share model means we only make money when you make money. If your prospects get automated garbage and bounce, we lose too. We have skin in the game.

Trust takes years to build and seconds to destroy. AI can help you reach more people, but it cannot make them believe you. Keep the machine in the engine room. Let your humans steer the ship.