Small firms don't get big-tech budgets. They still have to deliver.

Small businesses don't get big-tech budgets. They don't get the in-house teams, the brand recognition or the benefit of the doubt. They still have to deliver.

That's what was on my mind when John P. Mello Jr. of TechNewsWorld asked me whether AI-generated documents weaken brand trust, for his story "Experts Warn AI-Generated Documents Can Weaken Brand Trust (opens in a new tab)." It's worth reading in full. I want to expand on the part I think gets less attention than it should: what this looks like from a small firm's side of the table.

AI is how small firms keep up

Let me say this plainly: small businesses can really get a boost with AI, and most of us are grateful to have it. We rely on it too.

A small team doesn't have a marketing department, a research desk and a document-production group. AI fills some of those gaps. It drafts, checks, formats and summarizes. Used well, it gives a five-person firm some of the leverage a five-thousand-person firm takes for granted.

So I don’t know that AI-assisted work is the problem.

Big brands get the benefit of the doubt

Here's where it doesn't land evenly.

If a household name sends a generic proposal, most readers assume there's real depth somewhere behind it, because the name has earned that assumption over decades.

Small businesses don't get that assumption. They can't lean on a famous name, so they have to prove their depth in every engagement. When a small firm's work reads like it could have come from anyone, the reader doesn't conclude "there must be more behind this." They conclude there isn't.

Daniel Burrus put it well in the same TechNewsWorld story: "A polished document that wastes a client's time can make the company look less capable, even when its people have real expertise." For a small firm, the expertise is real. The job is making sure it shows.

Sameness isn't new

The usual argument is that AI makes every company sound alike. I'm not convinced that's the problem, at least not on its own. For more than 20 years I’ve worked at small and large organizations. During that time, very little of the big consultancies' websites, marketing pitches and materials or presentations were truly differentiated. Back then and today, businesses understand that the public-facing material is polish. What you pay for is the expertise and the brand recognition underneath. Sameness on the surface isn't new, and AI didn't invent it.

It just made it cheaper, for everyone, including the firms that used to win on polish alone.

Checking is easier now

Invented figures are now much easier to catch, and AI is part of the reason. For a long time, a busy line manager had very few ways to cross-check the numbers in a sales deck. Today that check takes minutes. So when an invented figure turns up, it leaves a particularly sour taste. It tells the reader nobody even bothered to ask AI to check its own work.

That cuts both ways. A small firm can now verify its own work as thoroughly as a big one. Better to use fewer numbers and be able to source every one.

Renting the tools you depend on

There's a quieter issue small firms rarely get to weigh in on. Most of the AI we rely on is rented from a handful of very large companies. They set the prices, change the models, decide the terms and hold the data that passes through.

A big company can negotiate, build its own, or absorb a price change. A small firm usually takes whatever it gets. If the tool you depend on to deliver changes underneath you, your client still expects the same work on Monday.

That doesn't mean stop using these tools. It means knowing which parts of your work you can't afford to hand to someone else's roadmap, and keeping those close: your knowledge, your client data, your judgment about what's right.

What depth looks like

Depth is still very hard to fake, and clients know where to look for it.

1. Specific lessons, not general advice. What you learned on real work, including what didn't go well.
2. Real tradeoffs. Every honest recommendation gives something up. Say what.
3. Sources a reader can check. Fewer claims, each one traceable.
4. A named person behind the work who can answer the next question.

That last one matters most. Audiences already come to the table with a healthy grain of salt. The follow-up questions quickly give away anyone who is all talk and no depth. And depth is how we earn our keep: lessons acquired over many years and many projects, successes and failures alike. Most experts are rightly reluctant to give that away for free, and no amount of generated content can fake it in a real conversation.

Let AI help with the drafting, checking and formatting. Just make sure a person who knows the work shapes what goes out, and stands behind it.

Go figure

In the early years of my business, before AI-generated content really hit the scene, people would ask me whether my articles were written by AI.

They weren't. Go figure.

The suspicion arrived before the technology did, which tells you how much readers already value knowing there's a real person behind the words. For a small business, that person is the advantage. AI can help them do more. It can't stand in for them.