Start-ups and artificial intelligence: From application to value, and the five problems that shape effective implementation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F26%3A0201686" target="_blank" >RIV/00216305:26510/26:0201686 - isvavai.cz</a>

Result on the web

<a href="https://oeconomia.pl/index.php/oc/article/view/4057" target="_blank" >https://oeconomia.pl/index.php/oc/article/view/4057</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24136/oc.4057" target="_blank" >10.24136/oc.4057</a>

Result language

angličtina

Original language name

Start-ups and artificial intelligence: From application to value, and the five problems that shape effective implementation

Original language description

This paper examines the growing role of artificial intelligence (AI) in start-ups and digital entrepreneurial ventures, emphasizing the transition from simple technological application to the generation of sustainable business value. The authors argue that the effective adoption of AI in start-ups depends on several interrelated organizational and ecosystem factors that shape innovation outcomes. The discussion identifies five key challenges influencing AI implementation. First, the ability of start-ups to absorb external technologies and data determines whether open innovation and access to cloud-based AI tools translate into real competitive advantage. Second, the transition from experimental prototypes to scalable solutions remains a major operational bottleneck, often requiring structured proof-of-concept processes and support from innovation ecosystems. Third, human factors - such as organizational culture, employee attitudes, and empowerment - play a decisive role in determining whether AI is perceived as a supportive tool or a threat. Fourth, ethical considerations, trust, and regulatory compliance are increasingly becoming integral elements of AI-based value propositions, particularly in consumer-oriented markets. Finally, ecosystem inequalities, including geographical concentration of AI start-ups and unequal access to capital and talent, shape the diffusion and commercialization of AI innovations. The editorial concludes that successful AI-driven entrepreneurship requires treating AI not merely as a technological solution but as an organizational system combining technological capabilities, human competencies, and institutional support structures.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50201 - Economic Theory

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Oeconomia Copernicana

ISSN

2083-1277

e-ISSN

2353-1827

Volume of the periodical

16

Issue of the periodical within the volume

4

Country of publishing house

PL - POLAND

Number of pages

8

Pages from-to

1369-1376

UT code for WoS article

001691370500001

EID of the result in the Scopus database

2-s2.0-105029815948