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Journals / Türkiye Mesleki ve Sosyal Bilimler Dergisi / 2026 / Cilt: 8

AI Co-Founders: Redefining Entrepreneurial Agency When Generative AI Becomes a Decision-Making Partner in New Venture Creation

Maha Sami Barakat(Al-Bayan University)0009-0002-0058-7641
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Publication Date
2026-08-02
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Distributed cognition processes are influenced by founder identity profiles (explorers, joiners and investors) and results show that the delegations of decision by joiners are very close to being equal.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper aims to address this gap by discussing the potential for generative AI, as a ‘decision-making partner', in new venture creation within the context of validated models linking AI co-founding intensity with reconfiguration of entrepreneurial agency.
📊
Key Findings & Data:A sequential explanatory mixed-methods approach was used and the data was collected over twenty-four months from 300 early-stage companies in the three sectors - SaaS, Fintech, and EdTech.
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Conclusion & Impact:Distributed cognition processes are influenced by founder identity profiles (explorers, joiners and investors) and results show that the delegations of decision by joiners are very close to being equal.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Agentic AI · Entrepreneurial agency · Digital co-founder

Abstract

This paper aims to address this gap by discussing the potential for generative AI, as a ‘decision-making partner', in new venture creation within the context of validated models linking AI co-founding intensity with reconfiguration of entrepreneurial agency. A sequential explanatory mixed-methods approach was used and the data was collected over twenty-four months from 300 early-stage companies in the three sectors - SaaS, Fintech, and EdTech. Results have confirmed that the higher the use of AI, the faster the creation of the MVP (71.1% less time than control using only humans). Distributed cognition processes are influenced by founder identity profiles (explorers, joiners and investors) and results show that the delegations of decision by joiners are very close to being equal. A clear impact of resource constraint on the compliance behavior is found: companies with low constraint rates above 35% are in compliance. AI-powered performance gaps are effective across industries, delivering 2.7X performance effectiveness in operations as compared to conventional performance. The study provides a first-principles measurement framework for understanding how augmentation differs from the substitution of human agency, a sector-generalizability of advantages of AI co-founding, and quantification of the misalignment between founder behaviour (resource constrained) and a normative governance framework. The results contribute to the theory of distributed cognition in entrepreneurial settings and provide recommendations for governance tuning in the use of AI in creating ventures.

Özet

This paper aims to address this gap by discussing the potential for generative AI, as a ‘decision-making partner', in new venture creation within the context of validated models linking AI co-founding intensity with reconfiguration of entrepreneurial agency. A sequential explanatory mixed-methods approach was used and the data was collected over twenty-four months from 300 early-stage companies in the three sectors - SaaS, Fintech, and EdTech. Results have confirmed that the higher the use of AI, the faster the creation of the MVP (71.1% less time than control using only humans). Distributed cognition processes are influenced by founder identity profiles (explorers, joiners and investors) and results show that the delegations of decision by joiners are very close to being equal. A clear impact of resource constraint on the compliance behavior is found: companies with low constraint rates above 35% are in compliance. AI-powered performance gaps are effective across industries, delivering 2.7X performance effectiveness in operations as compared to conventional performance. The study provides a first-principles measurement framework for understanding how augmentation differs from the substitution of human agency, a sector-generalizability of advantages of AI co-founding, and quantification of the misalignment between founder behaviour (resource constrained) and a normative governance framework. The results contribute to the theory of distributed cognition in entrepreneurial settings and provide recommendations for governance tuning in the use of AI in creating ventures.

🔖

Cite This Article

Barakat, M. S. (2026). AI Co-Founders: Redefining Entrepreneurial Agency When Generative AI Becomes a Decision-Making Partner in New Venture Creation. Türkiye Mesleki ve Sosyal Bilimler Dergisi, Cilt: 8. https://ajindex.com/articles/1067188

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