Thryv's 2026 AI and Small Business Adoption Survey says AI use among small businesses has reached 66%, up from 55% a year earlier. The same research highlights the awkward bit: about seven in ten owners say they need more training to use AI effectively.
That is a very Internet Marketing Brief kind of problem. The tool is not the scarce thing anymore. The scarce thing is a useful operating pattern: knowing which tasks AI should touch, what good output looks like, and where a human still needs to judge the work.
The adoption trap
Small teams often start by asking AI for copy, captions, blog ideas, summaries, or simple plans. That is fine, but it can become a blur of one-off prompts with no memory, no standards, and no measurable improvement.
The next level is workflow. Instead of "write me a sales email", build a repeatable process that includes the buyer, offer, objections, proof, tone, call to action, review step, and performance notes from the last campaign.
Train the workflow
- Pick one recurring marketing task that wastes time every week.
- Write the steps you already follow when doing it manually.
- Add examples of good and bad output.
- Use AI for the draft, comparison, or transformation step, not the final judgment.
- Save the prompt, result, edit, and performance note for the next run.
The brief
AI adoption is now mainstream enough that using the tool is not a differentiator by itself. The edge belongs to small businesses that turn AI into disciplined, measurable workflows.