Technological agglomerations and the emergence of artificial intelligence start-up ecosystems in Europe
Bibliographic Data
| ID | 7515513 |
|---|---|
| Authors | Óscar Vásquez (0000-0001-7867-2761, Universidad Complutense de Madrid), Francesco D Sandulli (0000-0003-0831-9959, Universidad Complutense de Madrid), Jorge Gallego (0000-0002-9398-9553, Universidad Complutense de Madrid, corresponding author) |
| Year | 2026 |
| Volume | 84 |
| Pages | 103092 |
| Publication date | 2026-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2025.103092 |
| OpenAlex | W4414540490 |
| Language | EN |
| Citations received | 1 |
| References cited | 74 |
The emergence of new industries is shaped by intricate geographical dynamics influenced by multiple factors. Yet, the rationales underpinning the locational choices of AI-based startups remain insufficiently understood. Traditional explanations have largely emphasized agglomeration economies, but their applicability to the AI industry requires further examination. This study investigates the growth of the AI industry across seven major European regions, uncovering two distinct locational patterns associated with different stages of industry evolution. In the nascent phase, the industry benefits primarily from intra-industry co-location effects and knowledge spillovers, which help mitigate technological risks. As the industry advances, however, cross-industry linkages become increasingly important, playing a pivotal role in addressing commercial risks and sustaining development. Overall, the findings highlight the dynamic interplay between technological and commercial risks, offering new insights into the shifting rationales and spatial dynamics that shape the emergence of the AI industry. • AI industry emergence shifts from intra-industry clustering to cross-industry ties. • oKnowledge spillovers drive early AI growth but show diminishing returns at scale. • oCross-sector complementarities mitigate commercial risks in AI industry evolution. • oAI clusters are multi-scalar, combining local agglomeration with global linkages. • oIndustry emergence follows sequential, stage-specific entrepreneurial drivers
Business cluster · Economies of agglomeration · Technological change · Underpinning · Urban agglomeration · Entrepreneurship Studies and Influences · Firm Innovation and Growth · Innovation and Knowledge Management
Agglomeration and the location of innovative activity
Digital affordances, spatial affordances, and the genesis of entrepreneurial ecosystems
Entrepreneurial Ecosystems and Regional Policy
Localised learning and industrial competitiveness
Beyond local search
General purpose technologies ‘Engines of growth’?
The structure and evolution of industrial clusters
Competitive Advantage, Agglomeration Economies, and Regional Policy
Clusters, convergence, and economic performance
Regional Innovation Systems, Clusters, and the Knowledge Economy
The transition of regional innovation systems to Industry 4.0
The key success factors of the AI industry entrepreneurial process in China Great Bay Area
The life cycle of technological innovation systems
The Double-edged Sword of Oppositional Category Positioning
The Log of Gravity
Knowledge complementarity and innovation
Artificial intelligence and big data in entrepreneurship
(Optimal) spatial aggregation in the determinants of industrial location
The knowledge spillover theory of entrepreneurship
Artificial Intelligence Policy Innovations at the Canadian Federal Government
Tales of the city
How do firms in co-located clusters interact? Evidence from Greater Montreal
Differentiating artificial intelligence activity clusters in Australia
Intermediaries in regional innovation systems
Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China
An evolutionary approach to regional studies on global value chains
Towards a comprehensive understanding of new regional industrial path development
Towards a theory of regional diversification
A data-driven global innovation system approach and the rise of China’s artificial intelligence industry
Industrial renewal in the 21st century
New path creation in the artificial intelligence industry
How does insertion in global value chains affect upgrading in industrial clusters
Increasing Returns and Economic Geography
Robots and Jobs
Regional innovation systems
Digital transformation and socio-economic development in emerging economies
Fixed-Effects Negative Binomial Regression Models
Toward a relational economic geography
Why is economic geography not an evolutionary science? Towards an evolutionary economic geography
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |