Transforming Small Businesses 2025
Page 19 of 54 · WEF_Transforming_Small_Businesses_2025.pdf
2.2 Key challenges to AI adoption identified
from stakeholder perspectives
The AI transformation journey from an SME perspective FIGURE 5
Phase 1
AI benefit-indifferent
I do not know why
I should adopt AI/
cannot see the
benefits it could
bring to mePhase 2
Curious but uninitiated
I am aware of AI’s
potential and that its
deployment could
benefit me but
know nothing morePhase 3
Seeking a roadmap
How should I go
about my journey?
What are the high-
value use cases?
Where do I begin?Phase 4
Mapping the resources
What are the
enablers to get to
where I want to be?
People, data, tools
and equipment...
Source: World Economic Forum
To determine where an SME should start with AI, it
is necessary to determine where it currently is on
its journey. Every SME goes through four phases,
as shown in Figure 5. Interviews indicate that most
SMEs are at the second or third stage of their
journey – aware that AI deployment could benefit
them but they are not sure how. They have not
studied high-value use cases nor have they been
able to identify partners for implementation or tools
that could help them start out. In addition to being
unaware of solutions, they are also unsure of the
value proposition and returns for each solution.
Furthermore, another problem faced by SMEs is the
lack of inspiration, success stories and mentorship.
Many SME owners hesitate to invest in AI due to
the lack of clear visible proof of success within their
industry ecosystem. Further, the lack of structured
mentorship programmes means that SMEs struggle
to understand the real implementation challenges.
Addressing this gap by creating mentorship programmes and promoting local success stories can
inspire SMEs to introduce AI into their organization.
SMEs also lack the expertise to implement
AI solutions in their business operations.
Implementation partners/vendors can help SMEs
bridge this gap by undertaking technology integration
and implementation at reasonable prices. Connecting
SMEs to a network of these partners can make the
process easier and thereby increase adoption.
Nurturing an ecosystem is as critical as enabling it.
SMEs need a platform where they can learn about
AI, its implications for small businesses and the value
potential of implementing different AI use cases. In
order to do this, SMEs at different phases of their AI
journey need to be brought together. Enterprises at
advanced stages of the journey can act as mentors
and guides for other SMEs in the early phases.
A peer network can be used to share experiences,
challenges faced and opportunities unlocked.
Most SMEs
are aware that
AI deployment
could benefit
them but they
are not sure how.The perspectives shared by SME entrepreneurs,
workers, industry bodies, start-ups and government
stakeholders reflect a diverse but consistent set of
concerns. Drawing from these ground-level insights, the team has synthesized the findings into four major
categories of challenges that hinder AI adoption
among MSMEs. These thematic areas form the basis
for the framework and recommendations that follow.
1 The knowledge imperative – AI awareness
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Transforming Small Businesses: An AI Playbook for India’s SMEs19
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