The Self-Driving State

AI-Driven Governance and the Transformation of Public Administration
Erscheinungsjahr 2026
ISBN: 978-3-662-74176-4
Verlag: Springer

Buch, Englisch, 229 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Professional Practice in Governance and Public Organizations

This book introduces the concept of a "self-driving state", a vision of governance in which traditional bureaucratic structures are replaced by highly automated, service-oriented administrative systems. This model emphasizes seamless efficiency and responsiveness, redefining the relationship between the state and its citizens through advanced digital technologies.

Drawing on decades of advisory experience in the public sectors of Germany and Austria, the authors present a forward-looking framework for AI-driven administration. They trace the evolution from classical bureaucratic principles to autonomous decision-making and offer a systematic roadmap for implementing this transformation.

This book addresses policymakers, professionals, and scholars of public governance and explores how innovations such as digital legislative twins, optimized administrative workflows, and enhanced citizen services can improve quality of life and strengthen economic competitiveness. Through numerous applied examples, the authors demonstrate how the self-driving state can transition from concept to reality, providing both theoretical foundations and practical guidance for progressive public administration.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Schnitzhofer, Florian

Pils, Patrick

Seper-Ambros, Philipp

Weitere Mitwirkende

Solomon, Neil

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Öffentlicher Dienst, Öffentlicher Sektor
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Sozialwissenschaften Politikwissenschaft Politische Systeme Zentralregierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Foreword.- Preface.- Introduction.- Forecasting: The Self-Driving State.- The Path to the Self-Driving State.- The DNA of the Self-Driving State.- The Service Catalog of the Self-Driving State.- Technological Components of the Self-Driving State.- Humans in the Self-Driving State.

Über Autor(innen)

Florian Schnitzhofer is a visionary and management consultant for AI and software, founder of Sysparency, owner of ReqPOOL group and investor in highly scalable software and AI companies. 

Patrick Pils is an Austrian AI and technology expert who, as founder and CEO of LETO SPACE GmbH, drives digital transformation through satellite-based technologies. 

Philipp Seper-Ambros is an experienced Austrian management consultant for software and managing director and managing partner for the public sector at ReqPOOL.