Beyond the broad ROI story, our data reveals a specific set of characteristics shared by the businesses getting the most from AI. These are not the businesses with the biggest budgets. They are the businesses that have stayed with AI the longest, practiced the most, and adapted the fastest.
The AI Veteran Growth Curve
There is a clear compounding-interest effect for businesses that have stuck with AI for more than a year. Businesses using AI for more than two years report a revenue growth score 2.2x higher than those who have been using it for less than three months (7.1 versus 2.8). Growth from AI is not instant. The most successful small businesses are those that have moved past the experimentation phase and have fully integrated AI into their long-term operations.
Younger Businesses Are Pulling Ahead
The data suggests that early-stage businesses are seeing the most immediate ROI from AI. Businesses in their first one to five years of operation report the highest average revenue growth scores (0.6 to 0.7) compared to established businesses with ten or more years of operation (0.5). Younger companies are likely more agile and “AI-native,” building their processes around automation from day one, whereas established companies may be facing higher legacy friction when integrating AI into existing workflows, and may not know how to get focused help.
The 65+ Crowd Is Out-Prompting Millennials
Contrary to the “new tech is for the young” narrative, the oldest demographic in our study is just as active with AI as the youngest. 56% of respondents in the 65-plus age group report using AI multiple times per day, which actually slightly edges out the 25-to-34 age group at 55%. AI’s ease of use through natural language has removed the traditional technical barriers that previously kept older business owners on the sidelines of technology adoption.
ChatGPT, 
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Gemini, 
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