What small businesses can learn from big companies getting AI wrong (and right)

Key points

• Large companies absorb the early costs and risks of new technology before it becomes affordable for everyone else.
• The same pattern that played out with the internet and mobile payments is repeating with AI.
• Small business owners who watch what big firms do with AI can copy the wins and dodge the mistakes without spending a fortune.
• AI tools that carried steep enterprise price tags in 2022 and 2023 now have small-business tiers at a fraction of the cost.

When a big retailer stumbles trying to automate its customer service with AI, that failure isn't just a bad headline. It's a free lesson for every small shop owner who was about to try the same thing.

That's the core argument in a piece by small-business columnist Gene Marks, first published by The Guardian. His claim: corporate America acts as an expensive testing ground, and small businesses have always been the quiet beneficiaries.

Hasn't this happened before?

The pattern is well established. The internet was built out by governments and large corporations, then became a tool any corner shop could afford. Mobile payments were perfected by banks and big retailers before the technology dropped in price enough for a sole trader to use on a phone. Cloud computing, renting storage and software over the internet rather than buying servers, followed the same path.

Each time, big players took the early risk, figured out what worked, and the rest of the market inherited a cheaper, steadier version of the same tools.

AI is now at that middle stage. Large companies are still burning through budget testing what AI can do reliably. Some experiments have gone badly public: chatbots giving customers wrong information, automated hiring tools flagging the wrong candidates, AI-written marketing copy that felt hollow. Our story on 25 August found that a survey of 1,719 business leaders showed confidence in AI growing fast while actual earnings from it lagged behind. Others have worked well, cutting the time staff spend on repetitive tasks like summarising documents or drafting routine emails.

What does this mean for a small business owner?

You don't need to rush. Watch and wait on anything that hasn't been road-tested at scale, and move quickly on the things that have.

AI writing assistants, software tools that help draft emails or product descriptions, have already been through enormous corporate testing. Millions of employees at large companies have used them daily, and the rough edges are well known. For a small business owner writing a quote letter or a job ad, those tools are ready.

Tools that make decisions affecting customers or staff, systems that automatically approve loan applications or screen job candidates, are still generating lawsuits and regulatory headaches at the corporate level. Worth noting too: AI tools can sound most confident exactly when they are most wrong, as our 18 August testing story showed, which matters a great deal when the tool is guiding a real business decision. That's a signal to wait, or at least to read the fine print before buying.

Patience is a competitive advantage here. Let the big firms pay for the education.

Common questions

Do I need a tech background to start using AI tools in my business?

No. Most AI tools aimed at small businesses today work through ordinary apps with no coding required. If you can write an email, you can use most of them.

Which AI tools are actually ready for small businesses right now?

Writing assistance and basic customer-service chatbots have the most real-world testing behind them. Tools that make consequential decisions about people, such as hiring or credit, carry more legal and practical risk and deserve more caution.