TLDR: Recent reports indicate a significant surge in Artificial Intelligence (AI) adoption among small businesses globally. This widespread integration is leading to notable improvements in operational efficiency, productivity, and even fostering workforce expansion. While the benefits are clear, challenges such as a lack of expertise and resources remain key hurdles for full AI integration.
Small businesses are rapidly embracing Artificial Intelligence (AI), marking a pivotal shift in how they operate and plan for future growth. According to a recent survey, AI adoption among small businesses has reached 68%, a substantial increase from 51% just two years prior. Another report, Datacom’s third annual State of AI Index, focusing on New Zealand businesses, shows an even higher adoption rate of 88% in 2025, up from 66% in 2024 and 39% in 2023.
The primary driver behind this surge is the tangible benefits AI offers. A significant 80% of small businesses that have adopted AI report enhanced workforce capabilities, with many planning to expand their teams in 2025. Nearly 40% of AI-using small businesses anticipate creating new jobs due to AI integration, countering public anxieties about job displacement. Beyond job creation, AI is delivering increased efficiency and productivity, providing better data for decision-making (cited by over 50% of users), and enabling new operational capabilities (49%). Some businesses are even reporting monthly savings ranging from $500 to $2,000.
Common applications of AI in small businesses include the automation of repetitive tasks (68%), data analytics and reporting (54%), workflow optimization (51%), and enhancing customer or employee experiences (32%). Real-world examples highlight AI’s impact: Trimble, a construction technology company, saw a 14% increase in annual recurring revenue driven by AI initiatives, such as processing over 1.5 million construction drawings. Similarly, Match Group, the parent company of popular dating apps, has leveraged AI to improve user experience and attract new demographics.
Despite the rapid uptake, challenges persist. Approximately 42% of small businesses not yet using AI cite a lack of resources and expertise as significant barriers, with 60% specifically pointing to a lack of know-how in applying AI to their business models. Other hurdles include data integration challenges and regulatory uncertainty. Justin Gray, managing director at Datacom, notes a ‘maturity gap,’ explaining that while adoption is wide, it’s not always deep; only 16% of businesses in their survey reported AI revolutionizing a core part of their operations, with many still in an ‘exploratory’ phase. Gray emphasizes the importance of AI literacy among leaders: ‘You don’t need everybody in your business to be an AI expert, but what you do need is leaders and people across the business to be AI-literate. They need to be able to spot the opportunities and where AI can be embedded for value.’ He warns, ‘If you don’t adopt it relatively widely, you’ll be left behind.’
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Overall, the outlook remains optimistic, with small businesses increasingly viewing AI as a catalyst for growth and innovation, rather than a threat, positioning them to compete more effectively in the evolving market.
