I was watching a conversation with Claire Vo on YouTube recently, and something she said about trust made me pause. She was talking about the spectrum of trust people have with AI. How it's not an on/off switch, but a gradual thing. Sabrina Romanov has spoken about something similar recently, and I couldn't stop thinking about how perfectly that maps onto my own experience over the last three years with AI, and also what I see with small business owners every week.
Most aren't getting the productivity gains they hear about from AI, and they think they are doing something wrong. However, they aren't doing anything wrong, and it's rarely the tools that are the problem.
It's the trust that needs to be built.
Where the fear actually comes from
There is a lot of noise right now about AI and data: GDPR, privacy, sensitive information ending up where it shouldn't. Some of that noise is exaggerated, but the instinct underneath it is healthy.
You shouldn't hand your business over to a tool you don't yet understand. That would be reckless, not efficient.
But here's where I think the conversation goes wrong: people hear "use AI in your business" and imagine they have to jump straight to the deep end. Full automation. Total delegation. Everything handed over at once.
Nobody sensible does that. And nobody should. You wouldn't hand over sensitive financial data to your eager Harvard-educated intern on day one, so the same applies to your AI tool.
What actually works is a ladder, a progression over time, where you move up one rung at a time, at the pace your confidence or comfort level allows. And what's good to know in advance is that the further up that ladder you're willing to go, the more information you share with your AI, the more productive it becomes for you. Trust and productivity are directly linked.
The trust ladder in practice
Using email as an example, because we all live in our inbox, here's what the rungs look like.
Rung 1: Ask AI to draft for you
You give a bit of context. "I need to reply to this client enquiry, here's the situation." The AI drafts the email. You read it, adjust what doesn't sound like you, and send it. You are entirely in control. Nothing has gone anywhere without your eyes on it first. This is where most people start, and it's a completely legitimate place to stay while you're finding your feet.
Rung 2: Let AI read and summarise
You allow your AI assistant to look at your inbox and give you a digest of what actually needs attention today. You're not automating anything yet. You're just reducing the cognitive load of sifting through fifty emails to find the three that matter.
Rung 3: Draft responses in your drafts folder
The AI prepares replies and queues them up for your approval. Nothing goes out without you reading and confirming it. The heavy lifting is done, but you're still the one pressing send.
Rung 4: Autonomous handling
The AI manages the majority of your routine email and flags anything that genuinely needs your direct attention. This is the top of the ladder, and honestly, most people aren't here yet, myself included. And that's ok. The ladder exists so you don't have to rush.
Why smaller businesses have a real advantage here
I feel this part doesn't get talked about enough, and it should.
Large corporations are stuck. Legal departments, IT governance, compliance frameworks. They move slowly, and they're right to be cautious given the often sensitive data they're handling. They cannot simply experiment freely with new tools.
As a solopreneur or small business owner, you can move faster. You have considerably more flexibility with how you use and share information with your AI assistant. Which means your trust can build more quickly, your learning curve is shorter, and the productivity available to you is genuinely significant, if you're willing to start climbing.
The compounding effect of context
Here's what people are really getting to grips with now: the more context you give your AI, the better it gets at serving your specific business.
Not just for email. For your social media, blog posts, client proposals, website copy. For all of it. It learns, like an eager intern from Harvard, how to write like you, in your tone and style.
When your AI understands how you work, how you sound, who your clients are, and what matters to you, it stops being a generic tool and starts to feel like something that genuinely knows your business. The outputs get sharper. The time savings compound. The value keeps growing.
But that depth doesn't come on day one. It comes over weeks and months of giving it a little more information, testing what comes back, adjusting, and building on what works. Every time you share more context, every time you give your AI a better picture of your business, you get more back. That's the loop: trust opens the door to information, and information drives productivity.
Start where you are, not where you think you should be
You don't need to automate everything. You don't need to give your AI access to your entire inbox, your financial records, or your client database tomorrow.
You just need to find your current rung, the level of involvement that feels genuinely comfortable to you right now, and start there. Maybe that's asking ChatGPT to help you tighten a reply you've already written. Maybe it's using Claude to summarise a long brief so you don't have to read the whole thing. Maybe it's generating a first draft of your next social caption.
It doesn't matter where you start. What matters is that you do.
Because the trust only comes from actually using the tools, watching what they do, and seeing for yourself what's possible. Once you start to feel the difference, once things genuinely get lighter, you'll want to take the next step up naturally. Nobody has to push you.
That's just how trust works, whether it's with your new eager intern or your new AI tool.
Where are you on the trust ladder right now? I'd love to know what you're currently using AI for, or where you've been hesitating.