ARTIFICIAL INTELLIGENCE AND INEQUALITY IN THE STARTUP ECONOMY: A CONCEPTUAL FRAMEWORK FOR DIGITAL STRATIFICATION
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Abstract
This article provides a conceptual analysis of the relationship between the rapid diffusion of artificial intelligence technologies and the emergence of new forms of digital inequality within the startup economy. Against the backdrop of digital transformation, characterised by the rise of platform capitalism, algorithmic governance and the phenomenon of 'artificial sociality', there is an increasing demand for updated theoretical frameworks that can explain structural changes in communication systems and access to economic resources. This study aims to develop such a framework for digital stratification in startup ecosystems, focusing on the interplay between venture capital, technological innovation, and social structures. In addition to conceptual modelling, the research employs a mixed-methods approach, combining quantitative statistical analysis with interpretative theoretical synthesis. The empirical basis draws on data from the Baltic countries (Latvia, Lithuania and Estonia) from 2019 to 2024, including indicators of venture capital investment, startup density and gender distribution among founders. Correlation and regression analyses are used to identify structural dependencies between investment intensity and ecosystem development, and comparative analyses are employed to evaluate cross-country disparities. This methodology combines Niklas Luhmann’s systems theory, Pierre Bourdieu’s theory of capital, and approaches to political economy, platform capitalism (Nick Srnicek) and surveillance capitalism (Shoshana Zuboff). This allows for a multi-layered interpretation of digital inequality that goes beyond purely economic indicators. The results reveal a pronounced concentration of innovation resources. Estonia leads in terms of both venture capital investment per capita (1,100 EUR compared to 153 EUR in Lithuania and 56 EUR in Latvia) and startup density per 100,000 people (82 versus 38 and 24, respectively). A strong relationship has been confirmed between venture capital intensity and startup density (r = 0.81, β = 0.73, p < 0.01) through statistical analysis. However, gender asymmetry remains structurally embedded: startups with at least one female founder receive less than 5% of total venture funding, indicating persistent barriers to accessing innovation capital. The article introduces the concept of 'cognitive stratification' as a new form of inequality based on differential access to knowledge infrastructures, technological competencies and innovation networks. This concept builds on traditional approaches to social stratification by emphasising the cognitive and algorithmic dimensions of exclusion in digital economies. The study concludes that, while functioning as key drivers of economic growth and technological innovation, startup ecosystems simultaneously reproduce and reinforce structural inequalities. These findings have practical implications for innovation policy, indicating the necessity of targeted interventions to reduce investment concentration and enhance gender inclusivity within venture financing systems.
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artificial sociality, cognitive stratification, digital transformation, startup ecosystems, venture capital dynamics, innovation concentration, digital inequality, Baltic states, algorithmic communication, platform economy
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