AI holds great promise for increasing business productivity and unlocking innovation. A paper prepared by the Organisation for Economic Co-operation and Development (OECD) for the G7 conference in December 2025 highlights that while AI adoption is accelerating rapidly, a massive adoption gap persists between small businesses and large corporations. Across the OECD, 40% of large companies have integrated AI into their workflows, compared to just 11.9% of small businesses.
Many SMEs currently use Generative AI for peripheral tasks like drafting marketing text or generating social media visuals. However, only 29% of SMEs utilizing generative AI report using it for their core business operations. AI adoption is heavily concentrated in the information and communication technologies (45%) and professional services sectors (25%). Traditional sectors like construction (7.2%) and accommodation and food services (7.8%) lag significantly behind.
To help policymakers design targeted support, the OECD introduced a helpful taxonomy that categorizes small businesses into four distinct stages based on their digital maturity and scope of application:
- AI Novices: These businesses are just beginning their AI journey. They generally rely on passive AI built into everyday software or use standalone, off-the-shelf tools for isolated tasks.
- AI Optimizers: Optimizers are comfortable using a wide array of digital tools. They cross-functionally integrate multiple off-the-shelf platforms to realize measurable productivity gains across several departments.
- AI Explorers: Explorers are ready to take a technical leap. Typically operating in data-intensive sectors, these SMEs actively develop or customize AI tools trained on their own proprietary data to solve specific organizational needs.
- AI Champions: Champions have embedded AI across their entire enterprise operations and business strategy. They use advanced machine learning and autonomous AI agents to drive operational decision-making at scale.
Moving from an AI Novice to an AI Champion doesn't happen quickly. The OECD paper outlines four critical pillars that act as prerequisites for successful transformation:
- Connectivity: Access to high-speed, reliable broadband like fiber and 5G is the foundation of any digital transformation. Gaps between urban and rural infrastructure continue to hold back rural businesses.
- AI-Enabling Inputs: Building custom solutions requires data readiness and having structured, high-quality, and secure data alongside access to affordable cloud computing power.
- Skills Shortages: A lack of internal skills is consistently cited as a top barrier. SMEs need more than just technical programmers. They need a workforce trained in AI literacy, critical thinking, and data interpretation.
- Finance: Tight credit conditions make it harder for small businesses to fund long-term technology transitions. Diversified financing options, including fintech lending and government grant programs, are crucial to lowering the risk of adoption.
AI has the potential to increase annual labor productivity growth across G7 economies by up to 1.3 percentage points over the next decade, but this growth will not automatically happen. Governments must continue to lower the barriers to entry through targeted funding, training, and clear regulatory guidance for small businesses to adopt AI, drive productivity growth and thrive.
For a deeper dive into the data, read the full report: OECD (December 2025), AI adoption by small and medium-sized enterprises: OECD discussion paper for the G7, OECD Publishing, Paris, https://doi.org/10.1787/426399c1-en .
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