Transforming Small Businesses 2025
Page 22 of 54 · WEF_Transforming_Small_Businesses_2025.pdf
4 Talent and workforce
capability
The successful adoption of AI at scale in SME
organizations requires access not only to the right
data and technology but also the right skilled
workforce. How effectively AI is implemented in these
organizations will vary depending on how well the
workforce is able to implement, operate and use AI
tools and solutions to enhance productivity, efficiency
and decision-making. SMEs in India struggle to find
the right talent, with a lot of them lacking a digitally
skilled workforce. Consultations with stakeholders
clearly highlighted this problem, with SME leaders
voicing concerns that any initiative to adopt AI is
likely to encounter a shortage of capable workers.
The problem of talent vis-à-vis AI adoption manifests
in these organizations in the form of three critical
challenges: upskilling the operational workforce
for AI-readiness; attracting AI professionals to
implement new technologies; and cultivating an
AI-literate leadership.
There is a dearth of AI-literate leadership at SMEs.
SME owners and managers often lack awareness
of how AI can be integrated into business
operations to drive efficiency in the organization.
Their knowledge of AI is generally limited to
popular generative AI (GenAI) tools, without a clear understanding of the potential of AI in all areas of
business operations. This lack of understanding
leads to inaction, slowing the adoption of AI.
SMEs typically operate with a workforce that
lacks basic digital skills and has little or no
exposure to AI technologies. These workers lack
the technical proficiency required to operate digital
tools and AI applications. This skills gap makes it
difficult for SMEs to implement AI solutions in the
organization, as such implementation would have to
be accompanied by significant investment in training
workers. As SME organizations operate with limited
resources, and workers generally work on a fixed-
term basis, it is difficult to justify such significant
investments in training programmes.
Another challenge faced by SMEs is attracting
skilled AI professionals who can drive AI
implementations in the organization. This is caused
by two factors: the demand–supply gap for skilled
AI professionals and the unwillingness of these
professionals to work in SME set-ups. There is
a shortage of AI professionals in the broader job
market, with greater and greater demand in the
wake of recent euphoria about AI. In addition to
this shortage, these professionals typically prefer
working for larger organizations that can offer
higher compensation packages and a better
employee value proposition The successful
adoption of AI
requires access
not only to the
right data and
technology but
also the right
skilled workforce.
Visuals from a workshop
with MSME promoters
in Bangalore, Karnataka
Transforming Small Businesses: An AI Playbook for India’s SMEs
22
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