Misconceptions about artificial intelligence (AI) are preventing small- to medium-sized businesses (SMBs) from realizing AI's full revenue potential. Business owners are rushing to adopt AI, but they are treating it primarily as a time-saving tool.
AI adoption among SMBs continues to grow. This year, 66% of small businesses experienced revenue increases from AI, and 82% of SMBs are already using some AI tools.
The problem is that many owners underutilize AI or use it too sparingly, missing out on major revenue opportunities. Many SMBs remain caught between using AI to draft emails 10% faster and using it to completely re-engineer their sales pipelines.
Joe Gagnon, CEO of the autonomous, AI-native sales platform Raynmaker, argues that the biggest misconception about AI is treating it primarily as a time-saving tool rather than a driver of revenue growth. Efficiency gains are valuable, but there is only so much time a business can save.
"For most SMBs, growth happens in the customer conversation. It happens when a lead calls, asks a question, fills out a form, responds to an offer, or shows buying intent. That is where AI can have a profound impact," he told the E-Commerce Times.
Questioning AI Adoption Claims
Gagnon disagreed with the report's finding of such high adoption rates. He questioned that level of adoption in any sector, let alone the SMB sector.
"That notwithstanding, the SMBs who have adopted AI have done so using it as a tool. They have not yet adopted AI as a business capability," he said.
He distinguishes between using AI to write emails, summarize meetings, or draft content and deploying it to capture demand, engage customers, and increase revenue.
Most SMBs are still using AI at the edges of their businesses. "They are experimenting with it in administrative workflows, but they are not yet putting it where the business outcome is created," he said.
Gagnon contends that many business owners have not connected AI directly to revenue moments. They use AI to make work easier rather than to make the business more responsive, more available, and better at converting leads into customers.
He agrees that AI can save time. However, the bigger opportunity is to use that time to capture missed revenue. By focusing on how AI can save five hours a week, SMB owners miss the bigger point: how much business are they losing from not responding to every prospect with speed, intelligence, and consistency?
"Used properly, AI is more than a time saver. It is a revenue creation engine," he said.
Tactical Shift: From Admin to Conversion
According to Gagnon, business owners must change their mindsets by starting with the business outcome rather than the tool. That means not asking “Where can I use AI?” but seeking “Where am I losing opportunity?”
Most owners can answer that in 30 seconds, he noted, citing after-hours leads, slow follow-up, prospects that nobody qualified, and the high-intent buyer who got the same generic experience as everyone else.
"Once you name where opportunity is leaking, AI stops being an experiment and becomes obvious," he said.
Another strategy is to move AI from back-office tasks into the customer journey, where it can engage prospects, answer questions, qualify leads, and improve conversions. That is how an SMB moves from playing with AI to growing with it, he advised.
"An e-commerce brand leaves money on the table when AI is used only to write product descriptions or summarize customer reviews, but not to engage buyers who are actively showing intent," Gagnon explained.
Learn to Spot Missed Opportunities
Gagnon offered an example in which a customer visits a product page, compares two items, adds one to the cart, hesitates, and leaves.
He suggested that a traditional efficiency-focused use of AI might help the business write better copy or generate a follow-up email. Those improvements help, but they do not address the buying moment itself.
"A growth-focused use of AI would identify the intent signal, engage the customer in real time or near real time, answer the specific question that may be blocking the purchase, recommend the right product, offer reassurance, and move the customer toward conversion," he added.
If AI is only helping the team work faster internally, the brand misses the moment when the customer is ready to buy but needs one more interaction. That is missed revenue.
Measure AI by Business Results
Gagnon maintained that hours saved are not the most important measurement. SMB leaders should measure AI by its impact on business performance. That means looking at metrics such as lead response time, conversion rate, booked appointments, qualified leads, revenue per lead, customer satisfaction, average order value, repeat purchase rate, and the percentage of inquiries successfully handled.
SMBs should also measure how consistently AI engages potential customers. Consider how many leads are engaged that previously would have been missed. How many after-hours inquiries are now being handled? Also, review how many customer questions staff answered immediately rather than waiting for someone to become available.
The most meaningful ROI measure goes beyond hours saved. It is how much opportunity AI helped the business capture. "That is a much better metric for SMBs, because most small businesses are not trying to become slightly more efficient. They are trying to grow," he said.
Enhance the Customer Experience
Gagnon cautioned against using AI to prioritize lead conversion at the expense of the customer experience. The goal is not to give customers a robotic experience or sacrifice the personal touch.
The key is designing AI around trust rather than transactions. AI should not feel like a script. It should feel like a helpful extension of the brand. That means communicating with clarity, relevance, and respect for the customer’s intent. Customers generally accept AI when it solves problems quickly and accurately. They are offended by bad experiences.
Gagnon warned about not providing generic answers, confusing loops, manipulative tactics, or interactions that feel disconnected from what customers are trying to accomplish.
"To drive conversion without losing trust, SMBs need AI that understands the brand voice, knows the product or service, recognizes customer intent, answers accurately, and knows when to escalate to a human," he said. "Aggressive conversion does not have to mean aggressive selling."
The better approach is to use AI to guide customers intelligently throughout the buying process. Help the customer make a confident decision. Remove friction. Answer the real question. Make the next step obvious.
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