The Gap Between Believing and Using: What Small Firms Say Stands in the Way of AI

The Nasscom-Meta Report

The report "Empowering India's Growth: Unlocking AI's Potential for Tech-Enabled MSMEs" was produced by Nasscom and Meta, with Nvidia as knowledge partner. The version we read did not state a publication date, though it refers to projections for 2024 to 2027. It said India's AI market is projected to reach $17 billion by 2027, growing 25% to 35% a year from 2024 to 2027.

The sample

A sentiment analysis covered about 220 or more tech-enabled small and medium firms, and workshops in Gurugram, Hyderabad, Bengaluru, Mumbai and Pune engaged more than 300 senior executives. By size, 38% of firms were micro, 29% small, 27% medium, 4% enterprises above Rs 250 crore turnover and 2% other. The sample is of tech-enabled firms, so it should not be read as representing the typical micro business without any digital tools.

“Most small firms are not against AI; they do not yet know which one to trust.”

The belief figures

• 94% believed AI can drive business growth. • 87% were confident AI can improve productivity. • 74% of firms performing repetitive tasks recognised AI's automation potential.

The barrier figures

• 65% did not know which AI tools and resources to use. • 91% did not feel technology was widely accessible and affordable; 59% cited budget constraints. • 57% lacked the technical expertise, and 72% reported limited access to training. • 45% needed industry-specific use cases. • 56.4% were concerned about data privacy and security, and 52% wanted guidance on legal compliance. • 78% said they would adopt AI within three quarters if adequate peer support were available. The report recommended targeted awareness campaigns, MSME-focused training, forums for peer sharing, training on data protection law, financial support such as grants or flexible pricing, a data governance playbook, user-friendly tools with standard integration, and a cross-sector platform showing use cases, including in regional languages.

What stands out: our analysis

1. The barriers are mostly about information and confidence. Not knowing which tool to use (65%) and needing industry-specific examples (45%) point to a discovery problem. A small owner needs to hear "a firm like mine did this and got that", not a general promise. 2. Peer support is the strongest lever in the data. 78% said they would adopt within three quarters with adequate peer support. This is a stated intention, which is weaker than behaviour, but it indicates where outreach could work. Cluster meetings, association visits and demonstration days cost less than national campaigns. 3. Affordability is perceived as widespread. 91% saying technology is not widely accessible and affordable is a very high figure. Whether the problem is the price or the lack of a clear return on investment is not separated in what we saw. 4. Compliance worries are real. More than half wanted legal guidance. Small firms with customer data should understand their obligations before they feed it into outside tools.

Cautions

A report from a technology industry body and a large technology company has an interest in promoting adoption. The sample is modest, the survey period is unstated, and percentages for sub-questions may rest on smaller groups. 100% agreement on the need for sandboxes, reported in the paper, suggests a framing that invites agreement. We recommend using the report to generate questions, not as a forecast.

What an owner can do: our guidance

• Find a peer. Ask your trade association for a member who has tried a tool similar to what you are considering, and visit them. • Define the use case in one sentence. For example, "reduce the time to prepare quotations from two hours to thirty minutes". • Set a small budget and a deadline. Treat the first trial as a purchase of learning. • Write down data rules. Decide what customer or employee information must never be entered into external tools. • Share what you learn. Tell another owner. The data suggest peers are the best channel.

For associations and policymakers

The figures argue for practical demonstrations in local languages and for sandboxes where firms can try tools without a long commitment. Success should be measured by how many firms use a tool six months later.

A short vendor-questions list: our template

Which firms of my size use this tool, and may I call one? What exactly will it change in my daily work? What is the total cost over a year, including training? Where is my data stored and can I take it with me? What happens if I stop paying? A vendor who answers these plainly is more likely to be a good partner. Editorial analysis based on the Nasscom-Meta report (undated). Our analysis and guidance are labelled as such.