Box CEO Aaron Levie put it well in a recent post: the distance between people working at the cutting edge of AI and “basically everyone else” isn’t closing. It’s growing. His point was that AI is improving so fast that a company which set up its AI processes six months ago may already be behind, and one that “kicked into gear a year ago and thought that they were done” is further behind still.
If you own a small business in Sarasota or anywhere else, that can sound discouraging. You’ve barely had time to try ChatGPT, and now you’re told the target keeps moving. But there’s a more useful way to read it, and it actually favors smaller companies.
Why the gap keeps growing
Most technology settles down. Websites, smartphones and online ads all changed fast at first, then leveled off into standard ways of doing things. Once that happens, everyone catches up, and the tool stops being an advantage.
AI hasn’t leveled off. The tools get noticeably better every few months. Tasks that AI handled badly in the spring may work well by fall. That means two things for a business owner:
- Any AI setup you build will need updating. “Set it and forget it” doesn’t hold up.
- Something you tried and gave up on may be worth trying again. The answer you got six months ago may no longer be the right one.
The businesses falling behind aren’t the ones that started late. They’re the ones that treated AI as a one-time project, checked the box and moved on.
The good news: small businesses can move faster
Levie’s post ends on a question: can the bigger companies keep up? Large organizations have to run every change through committees, IT reviews and training plans. By the time a new process is approved, the tools have moved again.
A small business doesn’t have that problem. When the owner decides to try something on Monday, it can be running by Friday. If it doesn’t work, you drop it. That speed is a real advantage right now, as long as you use it.
Don’t chase every new tool. Build the structure underneath
Keeping up doesn’t mean signing up for every new app. That’s how businesses end up with five subscriptions and nothing that works. What lasts through every update is the structure you give the AI:
- Written-down processes. How you answer a new lead, how you onboard a client, what a good follow-up email looks like.
- Clear instructions and examples. Your tone of voice, your policies, your best past answers.
- Organized information. Price sheets, FAQs, service descriptions and templates in one place, so any AI tool can work from them.
- A clear definition of “done.” For each task, what does a correct result look like, and who checks it?
When a better AI model comes out, a business with this structure in place simply plugs it in and gets better results the same day. A business without it starts over.
Keep a “try it again” list
Here’s a simple habit that helps more than most people expect. Every time an AI tool falls short on something, write it down: “couldn’t draft our quotes accurately,” “got confused by our booking rules,” “summaries missed important details.” Then, every month or two, try that list again with the latest tools.
Some items will still fail. But some will suddenly work, and those are often the most valuable ones, because they were hard enough that your competitors gave up on them too.
A simple monthly AI routine for owners
You don’t need a full-time AI person to stay current. One focused hour a month covers most small businesses:
- Review what’s running. Is each automation still saving time? Are people still using it? Any mistakes slipping through?
- Work the “try it again” list. Retest one or two things that didn’t work before.
- Check the tools you already pay for. Google Workspace, Microsoft 365, your CRM and your booking software keep adding AI features. Many teams never switch them on.
- Run one small experiment. Pick one repetitive task and see if AI can take it on, with a person reviewing the result.
- Check your guardrails. Make sure customer data stays in tools you trust, and that anything customer-facing still gets reviewed.
What this looks like in practice
One business owner we worked with was spending two to three hours a day on email. We built an AI inbox agent that sorted and prioritized every message, drafted routine replies for one-click approval and kept track of follow-ups. The owner’s email time dropped to 20 to 30 minutes a day.
The important part is what happened next. Because the system was built on clear rules and organized information, it kept growing as the tools improved. It later took on scheduling requests and a short daily briefing of what needed attention. It didn’t need to be rebuilt each time. It just got more capable.
That’s what keeping up looks like: not a single big project, but a solid base that gets better every few months.
Feeling behind? Start here
If you haven’t done much with AI yet, you haven’t missed your chance. Pick the one problem that costs you the most time or money right now, such as slow lead follow-up, missed calls or a full inbox. Fix that one thing with the simplest system that works. Write down how it works. Then put it on a monthly check-in so it keeps improving.
That small habit puts you ahead of most businesses, including plenty of much bigger ones.
Want help getting started?
Hub Media has helped Southwest Florida businesses grow since 2013, and today we build practical AI systems for small and mid-sized businesses. Request an AI Opportunity Audit and David will look at how your business handles leads and admin today, then recommend the two or three automations worth building first, built to keep improving as the tools do. Request your audit.
Frequently asked questions
How often should a small business update its AI tools?
Review what you’re using about once a month. You don’t need to switch tools that often, but check whether your current tools have added features, and retest tasks that didn’t work before.
Is it too late to start using AI in my business?
No. Starting now with a clear problem and a simple system is better than having started a year ago and stopping. What matters is building a habit of improving it.
Do I need to switch every time a new AI tool comes out?
Usually not. If your processes, instructions and information are organized, you can often get better results by upgrading the AI inside the tools you already use, without rebuilding anything.
How can a small business compete with bigger companies on AI?
By moving faster. Small businesses can test, adopt and adjust AI tools in days, while larger organizations often take months to approve changes.