AI: The Good, the Hype, and the Fine Print
Is the Juice Worth the Squeeze?
AI is impressive. It can crunch data faster than any of us, spot trends we’d miss, and even handle tasks we’d rather not do ourselves. Over time, it’s only going to get smarter. But here’s the thing. Right now, AI is still figuring itself out. And so are we.
I’ve seen AI do some amazing things, like helping a local retailer predict inventory needs or automating routine customer service inquiries for a friend’s business. In areas like healthcare or fraud detection, it’s already proving its value.
But for most small businesses, AI may still feel like a tool in search of a purpose. Companies are racing to cash in, and in the process, they’re throwing a lot of ideas at the wall to see what sticks. Sound familiar? It’s the same story we’ve seen with every new technology, from the internet to smartphones.
The problem is, in the rush to be first, we often skip the part where we ask, "What could go wrong?" And that’s a mistake.
New tech always comes with new risks. Some we can predict. Others blindside us. With AI, we’re already seeing both. For example, we’ve heard stories of AI chatbots generating inappropriate or biased responses, or automated hiring tools that reject resumes based on keywords, missing out on a person’s potential. The concern is that AI operates so fast that by the time we realize there’s a problem, it might be too late to fix it.
The Prompts We Ignore (At Our Own Risk)
Here’s where AI hits close to home for small business owners. You’ve seen it. Those little pop-ups asking if you want to enable AI to "improve your experience." You click Yes because, why not? It’s just one more thing to make life easier, right?
But what are you really agreeing to?
Your data: Can they use your information to "train" their AI? What does that even mean for your business or your customers’ privacy? For example, if you’re using an AI tool to manage customer emails, are you inadvertently giving it access to sensitive information?
Access: How much of your systems or files can this tool touch? More than you think. Some AI tools require broad permissions to function, which might include access to files or data you’d rather keep private.
Actions: Can it send emails, move money, or change records for you? And if it messes up, who’s on the hook? There have already been cases where AI tools have taken actions their users didn’t intend, leading to financial or reputational damage.
Accountability: If something goes wrong, do you have the records to figure out what happened? With AI making decisions at lightning speed, tracing back the steps to understand an error can be like finding a needle in a haystack.
These aren’t just hypotheticals. We’ve already seen AI tools overstep their boundaries, sometimes with serious consequences. And while frameworks for liability are emerging, they’re often unclear or untested in practice, leaving small businesses exposed.
But How Do You Even Know What the Risks Are?
Let’s face it. AI is a complex technology, and a lot of what it does happens "behind the scenes." For the average person, it’s not always clear what to look for or where to find the risks. And to make it even harder, some risks are still unknown because the technology itself is still evolving.
It’s easy to say, "Look at the risks and decide," but in many cases, the technology is too advanced for most of us to fully grasp. So how do you make an informed decision when the landscape is this unclear?
Start by asking the right questions, even if you don’t know all the answers.
Using AI Safely: A Practical Checklist for Non-Technical Users
When you’re faced with that pop-up asking you to enable AI, pause and ask:
What’s the real benefit for my business? If the tool doesn’t save you time, money, or a major headache, it’s not worth the risk. Example: Does it automate a task you currently spend hours on, or is it just a "nice-to-have" feature?
What’s the worst that could happen if I enable this? Think about the impact on your business. Could it expose customer data? Make a costly mistake? Damage your reputation? If the downside is severe, proceed with caution.
Do I trust the company behind this tool? Stick with reputable providers who are transparent about how they use your data. If you’ve never heard of them or their terms are unclear, that’s a red flag.
Can I start small? Test the tool in one limited area (e.g., a single project or team) before rolling it out across your entire business. This way, you can spot issues early.
Do I have a way to turn it off or undo its actions? Make sure you can disable the tool or revert changes if something goes wrong. If you can’t easily "undo" it, think twice.
Who do I call if something breaks? Ensure the provider offers clear support and accountability. If they can’t (or won’t) explain what the tool does or how to fix problems, that’s a sign to walk away.