Artificial intelligence is moving from experimentation to practical business use among Indian MSMEs, with smaller businesses using AI for marketing, customer service, operations and decision-making. The shift is creating opportunities to improve productivity and control costs, while also exposing gaps in skills, data readiness and cybersecurity.
AI adoption is gaining ground among Indian MSMEs
AI adoption among Indian MSMEs is becoming increasingly visible as small businesses look for ways to improve efficiency without making large technology investments. A 2026 MSME Digital Index study covering 10,000 retailers and MSMEs found that 90% of respondents had heard of AI, while 71% had used AI tools to automate or improve business operations. However, 26% were still unsure which AI features would be most useful for their businesses.
The development comes as businesses across sectors face pressure to control operating expenses while maintaining growth. For smaller enterprises, even modest improvements in productivity can have a direct effect on margins.
AI tools are increasingly being used for tasks such as creating marketing material, analysing information, responding to customers, managing routine workflows and supporting business decisions. This is making AI less of a technology experiment and more of an operational consideration for MSMEs.
Small businesses see AI as a productivity tool
For an MSME, productivity is not limited to producing more goods. It also includes reducing the amount of time employees spend on repetitive administrative work, responding to customers faster and making better use of existing resources.
AI can support these areas by handling repetitive tasks or helping employees complete them more quickly. A shop owner, for example, can use AI to create product descriptions and promotional messages, while a small manufacturer can use digital systems to organise information and identify operational patterns.
The Economic Times reported in August that AI was opening new advertising opportunities for Indian small businesses. In an Amazon Ads study of 300 Indian B2C marketing decision-makers, nearly nine in ten respondents said AI helped provide access to new audiences and formats, while three-quarters said AI-powered advertising had supported business growth.
The findings indicate that AI’s value for small businesses extends beyond back-office automation. It can also influence how they attract customers and compete with larger companies.
AI investment is rising among Indian small businesses
AI is also becoming a more prominent technology investment area. A CPA Australia survey found that the share of Indian small businesses investing in AI increased from 26% in 2024 to 36% in 2025, making AI the leading technology investment category in the survey.
The same research found that 41% of Indian small businesses sought advice from AI tools in 2025, compared with 25% the previous year. This suggests that businesses are not only spending on AI systems but are also experimenting with readily available tools to solve practical problems.
That distinction matters for MSMEs. Many smaller firms cannot afford large enterprise software deployments. Instead, they can begin with relatively accessible AI applications for specific tasks and expand their use when the business case becomes clearer.
This approach can reduce the initial technology burden, although businesses still need to consider subscription costs, employee training, data security and integration with existing systems.
Cost pressures are making efficiency more important
AI adoption is taking place against a backdrop of continued cost pressure for Indian small businesses. The CPA Australia research found that 42% of respondents identified increasing expenses as their biggest business concern, with manufacturing and export-oriented MSMEs also facing pressure from energy, logistics and raw material costs.
This makes productivity improvements particularly important.
If an AI tool can reduce the time required for routine work, help a business reach customers more efficiently or reduce certain administrative expenses, the resulting savings can potentially be redirected towards inventory, hiring, equipment or expansion.
However, AI does not automatically reduce costs. Businesses have to select appropriate use cases and measure whether the technology actually produces savings or additional revenue. Paying for multiple tools without clear objectives can increase technology expenses instead of reducing them.
For smaller businesses operating with limited margins, calculating the return on each AI investment is therefore becoming an important part of technology planning.
Tier-2 and Tier-3 businesses are part of the shift
The expansion of AI beyond major corporate centres is particularly relevant for India’s Tier-2 and Tier-3 cities. Small businesses in these markets include retailers, manufacturers, service providers, traders, logistics operators and professional firms that increasingly rely on digital tools.
Government-backed technology initiatives are also supporting this transition. The Ministry of MSME’s 2026 updates highlight technology centres and programmes designed to improve technology adoption, training and productivity among smaller enterprises. A technology centre established in Gaya, Bihar, for example, is expected to support MSMEs through facilities covering Industry 4.0, artificial intelligence, IoT, automation and manufacturing technologies.
The Ministry’s MSME dashboard also shows the scale of its technology infrastructure, with 20 Technology Centres and 100 Extension Centres listed as of September 2026.
For businesses outside major cities, access to training and practical technology support can be as important as access to the technology itself.
Skills remain a major barrier to AI adoption
Awareness of AI does not necessarily translate into effective adoption. The PayNearby MSME Digital Index found that 26% of respondents remained unsure about which AI features could best support their businesses. Training was also identified as a major barrier to deeper digital adoption, with 30% of respondents citing lack of training.
This creates a practical challenge for MSMEs.
A business owner may have access to ChatGPT, Gemini or another AI service, but knowing how to use the tool effectively requires basic digital skills, understanding of business processes and awareness of data-security risks.
Government initiatives are beginning to address this gap. IBEF reported that the Ministry of MSME trained 2,543 artisans under the PM Vishwakarma programme in June 2026 in areas including ChatGPT, Google Gemini, branding, product design, digital marketing, packaging and AI-based management.
Such programmes show that AI adoption increasingly depends on human capability, not simply software availability.
Data security and AI readiness remain concerns
Another challenge is whether smaller businesses have the data infrastructure needed to use AI effectively. A Dun & Bradstreet survey reported that 73% of Indian organisations were already seeing measurable returns from AI investments, while 69% planned to increase AI investment. At the same time, only 4% were found to have AI-ready data, highlighting a major gap between AI ambitions and underlying data preparedness.
For MSMEs, the issue can be particularly important because business data may be spread across spreadsheets, messaging applications, accounting software and paper records.
Cybersecurity is another consideration. The CPA Australia survey found that nearly half of Indian MSMEs reported productivity losses from cyber incidents during 2025.
As businesses feed more information into digital and AI systems, they need to understand what data is being shared, where it is stored and who can access it.
AI could change how MSMEs compete
The broader significance of AI adoption is that it could change the competitive equation for smaller companies. Large businesses have traditionally had greater access to specialised employees, marketing budgets, data systems and technology infrastructure.
Accessible AI tools can narrow some of these gaps.
A small retailer can create marketing material without maintaining a large creative team. A local manufacturer can use digital tools to organise operational information. A service provider can automate parts of customer communication. These applications do not eliminate the need for employees, but they can change how employees spend their time.
The Economic Survey 2025-26 has also highlighted AI’s growing role as a general-purpose technology and noted that early evidence suggests AI is more likely to augment labour than immediately replace it.
For Indian MSMEs, the immediate question is therefore less about replacing workers and more about improving the productivity of existing teams.
The next phase will depend on measurable returns
Indian MSMEs are moving into a phase where simply adopting AI may no longer be enough. Businesses will increasingly need to identify specific problems that AI can solve and measure the resulting impact.
For a small enterprise, that could mean tracking whether AI reduces the time required to prepare quotations, improves customer response rates, lowers advertising costs or increases sales conversions.
The same principle applies to manufacturing and services. AI projects need to be connected to measurable business outcomes rather than treated as technology experiments.
The growing adoption of AI among Indian MSMEs suggests that the technology is becoming part of everyday business operations. But the long-term impact will depend on affordability, employee skills, reliable data, cybersecurity and the ability of businesses to turn technology investment into measurable productivity gains.
Key Takeaways
- AI adoption is increasing among Indian MSMEs, with 71% of surveyed last-mile businesses reporting use or experimentation with AI tools.
- AI is being applied to marketing, customer service, automation, productivity and business decision-making.
- Cost pressures are encouraging small businesses to examine technology that can improve efficiency and reduce repetitive work.
- Skills, data readiness and cybersecurity remain important barriers to effective AI adoption.
FAQs
How are Indian MSMEs using AI?
Indian MSMEs are using AI for areas such as marketing, customer communication, content creation, business operations, automation and decision support. The exact applications vary according to the size and sector of the business.
Is AI reducing costs for Indian MSMEs?
AI can potentially reduce costs by automating repetitive work, improving marketing efficiency and helping employees complete tasks faster. However, the actual financial impact depends on the tool, implementation and business use case. AI adoption itself can also create costs through software subscriptions, training and data infrastructure.
What are the biggest barriers to AI adoption among MSMEs?
Key barriers include lack of training, uncertainty about which AI applications are useful, data readiness and cybersecurity. In the PayNearby survey, 30% of respondents cited lack of training as a barrier to deeper digital adoption, while 26% were unsure which AI features were most relevant to their businesses.
Why is AI adoption important for MSMEs in smaller cities?
AI can give smaller businesses access to tools for marketing, automation, customer support and analysis without requiring the same scale of technology infrastructure traditionally associated with large companies. Government technology centres and training programmes are also expanding access to digital and AI capabilities outside major cities.
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