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This research aims to explore why AI adoption has not led to significant productivity growth, particularly in Central and Eastern European economies.

March 5, 2026Ekonomika preduzecaOpen Access

The complementarity trap: AI adoption and value capture

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This research aims to explore why AI adoption has not led to significant productivity growth, particularly in Central and Eastern European economies.
Developed a theoretical framework called the productivity funnel.
Analyzed firm-level data from Central and Eastern European countries (Serbia, Croatia, Czechia, Romania).
Investigated the relationship between AI diffusion indicators and productivity outcomes.
Identified a complementarity trap where firms' organizational readiness impacts AI productivity effects.
Found that productivity gains from AI are modest, especially for firms without standardized processes.
Demonstrated that organizational constraints, not technological failures, underlie the AI productivity paradox.

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The study examines AI adoption and its impact on productivity in Central and Eastern Europe, suggesting organizational readiness is key.

Pitić et al. (2026) studied this question.

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