Open LinkedIn on any given morning and someone will be telling you their AI agents now handle their inbox, their content, their admin, and probably their weekly food shop too. Everyone, it seems, has quietly built some slick automated setup while you were busy actually running your business.
So the thought creeps in. Am I falling behind?
If you've ignored AI completely over the last year, there's probably some catching up to do. But nowhere near as much as LinkedIn would have you believe.
And I want to explain why, because once you see it, a lot of the anxiety falls away.
A little while ago a friend told me how she'd started using ChatGPT to plan her family's meals. She'd given it their favourite dinners, their dietary requirements, the things they won't touch, and it produced a full week of meals with a complete shopping list to match. It's changed my life. I do the same thing regularly now.
I mention this because I didn't discover it by keeping up. I discovered it because someone told me. And I spend hours every month reading about AI and researching new tools. By any reasonable measure I am not behind the curve.
And yet I still read the marketing content online and come away feeling like there are hundreds of tools out there that would make my job easier and my clients more successful, and that everyone else has found them and I haven't. If I feel that, despite the hours I put in, I promise you the feeling is not a reliable guide to reality.
Because here's what's actually going on. If you went looking for an AI tool to write your emails, you wouldn't find just one. You'd find more than you could ever test, all promising much the same result, all slightly different, none obviously the best. The same is true for almost any task you can name.
We have been here before. In the late nineties, every possible business idea spawned a dozen near-identical websites, all flush with investment, all convinced they'd be the one to win. Then the dot-com bubble burst. Most of them vanished. A handful survived, got stronger, and became the names we now use without thinking. You can already see the same pattern settling in SaaS software you rely on. Ask a small business owner which accounting tool to use and you'll hear two names, maybe three. The market sorted itself out.
AI is mid-bubble. The sorting hasn't happened yet. There are simply too many tools, launching too fast, for anyone to keep track of them all. So if your measure of "keeping up" is knowing every tool and what it does, you have set yourself an impossible task, and feeling behind is the only possible outcome.
Years ago, I tried Canva when it was still fairly new. I didn't get on with it. The templates felt rigid, the layouts wouldn't do what I wanted, and after a bit of frustration I gave up and went back to what I knew. My verdict at the time was fair: it wasn't good enough for what I needed.
That verdict is now completely wrong. Canva today is versatile, powerful, and does all the things I once wished it could, and more. If I'd clung to my first impression, I'd have written off a tool I now use constantly.
When a field is moving this fast, your opinion of any given tool has a shelf life of months, not years. A tool that disappoints you today might be excellent by Christmas. A tool everyone raves about today might be overtaken by something you've not heard of yet.
Which leads somewhere genuinely reassuring. The person who spent the last year running their business rather than testing AI hasn't lost much, because half of what the early adopters learned is already out of date. The ground shifted under them too. They just had to keep re-learning it, while you got on with your actual job.
Being "behind," in a race where the finish line keeps moving, is not the disadvantage it feels like.
None of this means ignore AI. It means stop trying to keep abreast of everything, because you can't, and it was never the right approach anyway. Start at the other end instead. Not with the tools, but with your own work.
Sit down, on your own or with your team, and spend ten minutes listing the tasks that eat the most time and might, one day, be a job for AI. Not the interesting tasks. The repetitive, time-consuming, slightly tedious ones. Write them down, and if you can, note roughly how long each one takes you or your team every week.
My own list includes scheduling content, chasing follow-up emails that have stalled, and pulling metrics from various platforms into the one dashboard I actually want to look at. That last one I'm slowly automating, and I'll be honest, it's important but boring, which means I procrastinate on it horribly if I'm not careful. Automating it isn't really about saving hours. It's about getting a dull, necessary job to happen reliably without me avoiding it.
Because here's the thing about all those whizzy AI tools. Most of them solve problems you don't have. That's why they look so impressive in a demo and so irrelevant five minutes after you've signed up. Any time you spend researching and implementing those is time wasted, however clever the tool. But the handful that solve a problem on your list, a real one, costing you real hours, those are worth your attention.
The winners won't be the people who know the most AI tools. They'll be the people who recognise the right solution to their problem when they see it.
Once you know what you're looking for, you don't have to go hunting for it. You can let other people do most of the work.
You can't test fifty email tools. You don't have the time, and neither do I. So here's what I actually do, and it's less sophisticated than you might expect. I wait until someone I trust recommends one.
Not an influencer with an affiliate link. Not a "best AI tools for 2026" listicle written to earn commission. And certainly not the AI-written spam emails that land in my inbox every day, confidently pretending to understand exactly what my business needs. Someone doing similar work to me, who has actually used the tool on a real job, and rates it. That's the recommendation worth acting on.
This probably sounds familiar, because it's exactly how most of your best customers found you. Not through the loudest advertising, but because someone they trusted said you were worth a look. There's no reason to abandon that instinct the moment AI is involved.
So keep your list somewhere you'll see it. Then, when a trusted recommendation lands, you'll know instantly whether it matters to you or not. You're no longer trying to keep up with everything. You're just watching for the few things that solve the problems you actually have.
Maybe, a little. But the people who look miles ahead aren't nearly as far ahead as they appear, because much of what they know is already going stale. And the ones who look most impressive online are often the ones who've spent more time on the tools than on the work those tools are meant to serve.
You don't need to catch up with the tools. You need to know your own list, stay close to a couple of people worth listening to, and point whatever you adopt at a problem that actually matters.
The race isn't to know the most AI. It's to solve the most valuable problems.
Good marketing has never been about chasing every new tactic. It's about solving the right problem, measuring what works, and ignoring the rest. AI doesn't change that. It just gives you a few more tools to choose from.
If you're not sure what's hype and what's genuinely useful when it comes to AI, my free guide might help. It's called How I Built AI Into My Marketing Machine, and it walks through where I've actually put AI to work in my own marketing, the quick wins worth chasing, and the traps that make everything sound robotic. No tech-bro nonsense. You can download it here.
Probably a little, but far less than it feels. AI tools change so quickly that much of what early adopters have learned is already out of date, so the gap between you and them is smaller and more temporary than it appears. Focus on your own priorities rather than trying to catch up with everything.
Start with your own problems, not the tools. List the repetitive, time-consuming tasks that eat your team's hours, then look only for tools that solve those specific problems. Most AI tools solve problems you don't have, so ignoring them isn't falling behind, it's focusing.
You don't need to track every release. A more sustainable approach is to rely on recommendations from people you trust who do similar work and have actually used the tool, rather than influencer lists or affiliate-driven "best of" articles.
An AI agent is a tool that can carry out multi-step tasks with limited human supervision, such as sorting an inbox or drafting and scheduling content. Despite the hype, most small businesses don't yet need full agents, and simpler AI tools solve most everyday problems.
Yes, but start with the problem, not the tool. The most useful approach is to identify the repetitive, time-consuming tasks that slow your marketing down, then look for AI that solves those specific problems, rather than adopting tools because everyone else is. AI works best as a way to save time on routine work so you can focus on the things that need human judgment, like strategy, tone and knowing your customer. Always keep a person checking what it produces before it reaches a customer. For more information on how to do it, read my guide: How I Built AI Into My Marketing Machine.