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AI and Small Businesses in 2026: Adapt or Be Left Behind

April 29, 2026

Read the Article (page 19)


By Jeremy Davis

Artificial intelligence is no longer a futuristic concept reserved for Silicon Valley. In 2026, it is quickly becoming one of the most important tools small and medium-sized businesses can adopt to remain competitive. And while some business owners are still debating whether AI matters, the truth is simple: the companies that learn how to use it will move faster, operate more efficiently, and outperform the ones that do not.

Small businesses often assume that new technologies benefit large corporations first. Historically, that was true. Enterprise companies had the budgets and research teams needed to experiment with emerging technology. But AI is different. Many of the most powerful AI tools today are inexpensive, easy to use, and available to anyone with an internet connection. In fact, small businesses may be in the best position to benefit because they can implement new tools quickly without navigating layers of corporate bureaucracy.

Think about the daily work that consumes time in most businesses: responding to routine emails, drafting marketing content, summarizing reports, researching answers to customer questions, or organizing internal information. These tasks are necessary, but they rarely create direct value for the business. AI can now handle much of this work in seconds. That means employees can spend less time on repetitive tasks and more time focusing on strategy, relationships, and growth.

This shift is what I like to call a "force multiplier." When used correctly, AI allows a small team to perform at the level of a much larger organization. A marketing manager can generate content ideas in minutes instead of hours. A sales team can analyze customer data faster than ever before. Customer support can respond more quickly with AI-assisted answers to common questions.

The result is not just efficiency. It is leverage.

Some people still worry that AI will replace workers entirely. While there will certainly be changes in how work is done, most businesses are not using AI to eliminate people. They are using it to help their teams perform better. In many cases, employees actually welcome AI tools because they remove tedious work that nobody enjoys doing in the first place.

The bigger risk right now is not that AI will replace your employees. The bigger risk is that a competitor will learn how to use AI before you do.

Across industries, early adopters are already gaining an advantage. Businesses that experiment with AI are producing marketing campaigns faster, analyzing data more effectively, and delivering better customer experiences. They are also discovering entirely new ways to operate that were not possible even a few years ago.

Meanwhile, businesses that ignore AI are slowly falling behind.

This is not about chasing hype or adopting technology simply because it is new. The goal is not to replace good judgment with automation. The goal is to give business owners and their teams better tools so they can make smarter decisions and operate more efficiently.

Of course, there are important considerations. Businesses must think carefully about how they protect sensitive data, how employees use AI responsibly, and how human oversight remains part of critical decisions. AI should be implemented thoughtfully, not recklessly.

But avoiding AI entirely is not a strategy. It is a gamble.

For small businesses in our community, the opportunity is enormous. Artificial intelligence levels the playing field in ways we have never seen before. A small company with the right tools can compete with organizations that once seemed untouchable.

The businesses that thrive over the next decade will be the ones that experiment, learn quickly, and build AI into the way they work every day. They will treat AI not as a novelty but as a core business capability.

In other words, the question is no longer whether AI will impact your business.

The question is whether you will lead that change—or be forced to catch up later.