ABSTRACT
Artificial Intelligence (AI) has evolved into a pivotal catalyst for entrepreneurial innovation,
furnishing firms with the capacity to integrate digital transformation, bespoke customer
engagement, and sustainable growth into coherent strategic frameworks. This research
chronicles the processes and consequences of AI assimilation within entrepreneurial
ecosystems situated in Haryana, India, with particular attention allocated to the agriculture,
manufacturing, and services domains. Employing a concurrent-sequential mixed-methods
paradigm, the empirical foundation arose from a survey administered to 390 founders,
supplemented by 30 semi-structured interviews and five illustrative case analyses of AIcentric start-ups. Assessment of the measurement model through Smart PLS substantiated
elevated reliability and convergent validity for all latent constructs; subsequent structural
model analysis substantiated statistically robust, positive pathways from AI assimilation to
digital transformation, customer personalization, and sustainable growth outcomes.
Qualitative data and coding further explicated motivational antecedents for adoption,
observable enhancements in operational efficiency, latent integration impediments, and AI’s
additive role in fostering sustainability benchmarks. Results posit that AI amplifies strategic
querying processes, nurtures customer-oriented product-development cycles, and enables
scalable, ecologically responsible growth trajectories, whilst confronting firms with elevated
upfront investment requisites and pronounced human-capital deficiencies. The study
advances the theoretical literature by appending conceptual entrepreneurial frameworks to
accommodate AI as a mediating construct and articulates actionable guidance for
policymakers, pedagogues, and practitioner communities intent on harnessing AI to yield
sustainable competitive progression.
Keywords: Artificial Intelligence, Entrepreneurial Innovation, Digital Transformation,
Personalization, Strategic Management