Not every AI user is a Fortune 500 company.

Some of the most rewarding work I've done is for small businesses.

A local restaurant wanted to predict daily ingredient needs to reduce food waste. We built a simple time-series model using their POS data and local event calendars. Food waste dropped 35%.

A small e-commerce shop wanted product descriptions in multiple languages. A fine-tuned translation model generates descriptions in 5 languages from a single English input. Their international sales doubled.

A photography studio wanted to automatically sort and tag 50,000 photos. A vision model + simple clustering does it in hours instead of weeks of manual work.

None of these required cutting-edge AI. A gradient boosted tree. A fine-tuned translation model. A pre-trained vision backbone.

The tech was simple. The impact was enormous for businesses operating on thin margins.

What small businesses need from AI isn't a sophisticated architecture. It's a reliable solution that saves them time or money, doesn't require a PhD to maintain, and costs less than hiring another person.

If you can build these kinds of solutions, the market is massive and largely untapped. There are millions of small businesses that could benefit from basic ML but don't know where to start.

Be the engineer who makes AI accessible, not just impressive.