ARTIFICIAL INTELLIGENCE AND AUTOMATION IN STARTUP BUSINESS PROCESSES: EVIDENCE FROM THE US AND EU

Pavlo Yatchenko

doi:10.32782/2524-0072/2025-82-73

Pavlo Yatchenko National University of Food Technologies https://orcid.org/0009-0007-3905-1031

DOI: https://doi.org/10.32782/2524-0072/2025-82-73

Keywords: artificial intelligence, automation, startup processes, early-stage startups, PDCA cycle, digital transformation, entrepreneurship

Abstract

The article examines the role of artificial intelligence and automation in early-stage startup processes under conditions of uncertainty and limited resources. The study focuses on how AI-enabled infrastructure supports problem discovery, hypothesis testing, iterative learning, and demand validation. Using the Plan–Do–Check–Act framework as a theoretical foundation, the research conceptualizes startups as learning-oriented process systems rather than static organizational entities. Comparative analysis of startup practices in the United States and the European Union highlights institutional differences in AI adoption and process automation. The findings demonstrate that artificial intelligence, when embedded into core startup processes, reduces experimentation costs, accelerates feedback loops, and improves decision-making quality. The study contributes to entrepreneurship and digital transformation research by framing AI and automation as infrastructural elements of early-stage startup development.

References

Exploding Topics. Startup Failure Rate Statistics: Why Do Startups Fail? – Exploding Topics, 2024. Available at: https://explodingtopics.com/blog/startup-failure-stats (accessed: 10.01.2026).

CB Insights. The Top 12 Reasons Startups Fail. – CB Insights Research Report, 2023. Available at: https://www.cbinsights.com/research/startup-failure-reasons-top/ (accessed: 10.01.2026).

Founders Forum Group. Why Startups Fail: Market Fit and Demand Challenges. – Founders Forum Insights, 2023.

DemandSage. Startup Statistics: Market Size, Failure Rates, and Funding. Demand Sage, (2024). Available at: https://www.demandsage.com/startup-statistics/ (accessed: 10.01.2026).

Eurostat. Business Demography Statistics. – Eurostat Database, (2021). Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Business_demography_statistics (accessed: 10.01.2026).

OECD. The Digital Transformation of SMEs. – Paris: OECD Publishing, (2021). DOI: 10.1787/bdb9256a-en.

European Commission. Digital Economy and Society Index (DESI): Digital Intensity of Enterprises. – Brussels, 2023.

Available at: https://digital-strategy.ec.europa.eu/en/policies/desi (accessed: 10.01.2026).

McKinsey & Company. The State of AI in 2024. – McKinsey Global Survey, (2024). Available at: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2024 (accessed: 10.01.2026).

McKinsey & Company. The Economic Potential of Generative AI. – McKinsey Global Institute, (2024). Available at: https://www.mckinsey.com/mgi/our-research/the-economic-potential-of-generative-ai (accessed: 10.01.2026).

U.S. Small Business Administration. Small Business Economic Profile 2023. – Washington, DC: SBA Office of Advocacy, (2023).

Available at: https://advocacy.sba.gov (accessed: 10.01.2026).

Rao A. S. Minimum Viable Product (MVP) for Product Startup: An Indian Perspective. – SSRN Electronic Journal, (2019).

DOI: 10.2139/ssrn.3353060.

Peças P., Silva A., Henriques E. PDCA 4.0: A New Conceptual Approach for Continuous Improvement. – International Journal of Quality and Service Sciences, (2021). DOI: 10.1108/IJQSS-08-2020-0125.

Yan X., Zhang Y., Liu H. Research on the Sustainable Improvement Mechanism Based on OBE–PDCA Cycle. – Sustainability, Vol. 17, No. 4, (2025). DOI: 10.3390/su170404051.

Öztabak M. U. Product–Content–Market Fit as a Framework for Startup Marketing Strategy. – Journal of Innovation and Entrepreneurship, (2024).

DOI: 10.46849/guiibd.1491114.

Startup Genome. Global Startup Ecosystem Report 2024. – Startup Genome (2024) . Available at: https://startupgenome.com/reports/gser2024 (accessed: 10.01.2026).

StartupBlink. Global Startup Ecosystem Index 2025. – StartupBlink, (2025). Available at: https://www.startupblink.com/startup-ecosystem-index (accessed: 10.01.2026).

Exploding Topics. Startup Failure Rate Statistics: Why Do Startups Fail? – Exploding Topics, 2024. URL: https://explodingtopics.com/blog/startup-failure-stats (дата звернення: 10.01.2026).

CB Insights. The Top 12 Reasons Startups Fail. – CB Insights Research Report, 2023. URL: https://www.cbinsights.com/research/startup-failure-reasons-top/ (дата звернення: 10.01.2026).

Founders Forum Group. Why Startups Fail: Market Fit and Demand Challenges. – Founders Forum Insights, 2023.

DemandSage. Startup Statistics: Market Size, Failure Rates, and Funding. Demand Sage, (2024). URL: https://www.demandsage.com/startup-statistics/ (дата звернення: 10.01.2026).

Eurostat. Business Demography Statistics. – Eurostat Database Publishig, (2021). URL: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Business_demography_statistics (дата звернення: 10.01.2026).

OECD. The Digital Transformation of SMEs. – Paris: OECD Publishing, (2021). DOI: 10.1787/bdb9256a-en.

European Commission. Digital Economy and Society Index (DESI): Digital Intensity of Enterprises. – Brussels, (2023).

URL: https://digital-strategy.ec.europa.eu/en/policies/desi (дата звернення: 10.01.2026).

McKinsey & Company. The State of AI in 2024. – McKinsey Global Survey, (2024). URL: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2024 (дата звернення: 10.01.2026).

McKinsey & Company. The Economic Potential of Generative AI. – McKinsey Global Institute, (2024). URL: https://www.mckinsey.com/mgi/our-research/the-economic-potential-of-generative-ai (дата звернення: 10.01.2026).