AI unbound: digital infrastructure, AI adoption, and firm performance

Nuriye Melisa Bilgin and Gianmarco Ottaviano

CEP Discussion Papers from Centre for Economic Performance, LSE

Abstract: We study how digital infrastructure relaxes constraints on the diffusion and economic impact of artificial intelligence (AI). Using administrative data and a nationally representative enterprise survey from Turkey (2021-2024), we document significant disparities in AI adoption. Adoption is concentrated among large firms and in regions with high-speed broadband and proximity to data centers, particularly for software-intensive and cloud-based applications. To identify causal effects, we exploit the staggered expansion of Turkey's national natural gas pipeline network, which serves as a conduit for fiber-optic deployment. Because pipeline routing is determined by energy distribution priorities rather than digital demand, it provides plausibly exogenous variation in connectivity. Difference-in-differences estimates show that improved connectivity significantly increases AI adoption, particularly for software-intensive technologies and among small and medium-sized enterprises. Instrumental-variable estimates indicate that infrastructure-driven AI adoption raises labor productivity and export intensity while shifting labor composition toward ICT-related roles. These findings highlight digital infrastructure as a primary determinant of both the pace of AI diffusion and its resulting economic returns.

Keywords: artificial intelligence; digital infrastructure; broadband; technology diffusion; firm productivity; cloud computing (search for similar items in EconPapers)
Date: 2026-04-15
New Economics Papers: this item is included in nep-ain, nep-ara, nep-bec, nep-eff, nep-ene, nep-ent, nep-ict, nep-lma, nep-sbm and nep-tid
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