Small businesses risk falling behind as business data goes unused

New Census data show AI adoption is rising faster at larger firms than at the smallest businesses, raising concerns that small companies could lose ground if they do not organize and use the records they already collect. The stakes go beyond efficiency: better data practices may shape customer service, local competitiveness and resilience.

Why it matters: - Small businesses already generate useful operational data through inventory records, customer questions, service requests, pricing histories, sales notes, photos, emails and calendars. - When those records stay scattered, owners can miss patterns in demand, workflow bottlenecks and recurring decisions. - The gap could widen as larger firms adopt AI faster and turn organized data into a competitive advantage. - Small businesses support local jobs, supply chains and neighborhood services, so weaker data use can affect more than one company’s bottom line.

What happened: - New federal data show reported AI use varies sharply by business size. - In a May 2026 analysis of U.S. Census Bureau Business Trends and Outlook Survey data collected from Dec. 14, 2025, through May 3, 2026, overall reported AI use hovered between 17% and 20%. - 37% of firms with at least 250 employees reported using AI in business operations. - In the period ending May 3, 2026, 32% of firms with 100 to 249 employees reported AI use. - Less than 20% of firms with four or fewer employees reported using AI. - Census researchers found reported AI use increased among firms with at least 20 employees and did not change significantly among firms with fewer than 20 employees.

The details: - A separate 2026 Census working paper found that 18% of firms used AI in a business function during the November 2025 through January 2026 period. - Among AI-using firms, 57% integrated AI in three or fewer business functions. - Most users, 66%, said they used AI only to augment tasks. - Sales and marketing, strategy and business development, and information technology were the most common functions. - At Select Auto Parts in Milwaukee, inventory records, parts descriptions, customer inquiries and workflow notes help staff answer availability questions and make operating decisions. - Natasha Broxton, founder of The Alitura Group and operator of Select Auto Parts & Sales, said small businesses often have an organization problem rather than a data shortage. - Broxton said the goal is to identify a useful question, protect sensitive information, test the process and keep a qualified person accountable for the answer. - The National Institute of Standards and Technology’s voluntary AI Risk Management Framework encourages organizations to manage AI risks while promoting trustworthy and responsible use. - A practical starting point for small firms is to inventory where business information lives, pick one recurring decision, standardize the relevant fields, limit access, test on a small scale and verify results against original records. - Owners should review vendor terms, privacy notices and data-processing terms to understand retention, security, model-training use and available controls.

Between the lines: - The data do not prove that every small company needs an AI system. - They do suggest that better-resourced firms may gain another advantage if they can organize, govern and use information more effectively. - A realistic small-business opportunity may be narrow, high-value workflows such as matching customer requests with inventory, summarizing service issues, identifying unanswered inquiries or reviewing pricing patterns. - AI output can be incomplete or wrong, and poor source data can produce unreliable results faster. - The bigger policy challenge is not just adoption; it is access to training, technical help and basic data practices that let local firms use AI safely. - Chambers of commerce, Small Business Development Centers, lenders, industry associations and procurement-assistance organizations can help by teaching data organization and governance alongside AI tools.

What’s next: - Small businesses that want AI gains will likely need to build data readiness before choosing tools. - Broxton and The Alitura Group are positioning practical AI adoption and small-business data readiness as advisory topics. - To request an interview, keynote presentation or executive workshop with Natasha Broxton, visit the Alitura Group speaking page.

The bottom line: - The next small-business productivity edge may not come from buying more software. - It may come from organizing the records owners already have and using them with human oversight.