AI and the Recentralization of the Global Media Economy

Beyond Disruption

Inbunden, Engelska, 2026

1 508 kr

Kommande

Beskrivning

At an inflection point when artificial intelligence is becoming media infrastructure, this volume offers a system-level analysis of value chains, organizational architectures, and economic rationales. Drawing on economic theory and industry observation, Zvezdan Vukanović interrogates platform governance, strategic conduct, technological deployment, and regulatory design to explain how AI is reconfiguring production, distribution, monetization, and audience engagement. Across seven sections, he reconstructs adoption trajectories and specifies consequences for cost structures, capital allocation, revenue logics, and scale economies. He charts advertising’s shift from efficiency to algorithmic allocation, automated trading, and programmatic markets within a platform-centric, data-intensive ecosystem. Chapters examine automated journalism, neural dubbing, streaming optimization, OTT personalization, and AI-enabled television, alongside their ethical and regulatory dilemmas. The book argues that AI intensifies recentralization and reintermediation through closed platforms, enabling conglomerates to exploit data and compute advantages, manage antitrust constraints, and govern fragmentation. It closes with one hundred questions for researchers to explore.

Produktinformation

Utgivningsdatum:2026-08-14
Mått:148 x 210 x undefined mm
Format:Inbunden
Språk:Engelska
Antal sidor:820
Förlag:Springer Nature Switzerland AG
ISBN:9783032280817

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Mer om författaren

Zvezdan Vukanovic serves as Associate Director of International Media Management at Columbia Business School’s CITI and as a member of the executive board of the International Media Management Academic Association (IMMAA).

Innehållsförteckning

Part I - Foundations, Context, and Historical Trajectories of AI in Media: Chapter 1: Introduction.- Chapter 2: The Co-evolution of AI and Media Industries: A Chronological Five-Phase Analysis.- Chapter 3: The Strategic Significance of AI: Value Creation, Appropriation, and Durable Moats in the Media Industry.- Chapter 4: The Consolidation-Expansion Dynamic in the Digital Media Market: Cycles of Diversification, Concentration, and Recentralization.- Chapter 5: Code Becomes Capital: AI’s Exponential Economics and the New Media Order.- Part II - Economic Impact of Artificial Intelligence on Media Industries: Chapter 6: Reconfiguring and Encoding the AI‑Media Economy: Platforms, Markets, Infrastructures, and Governance.- Chapter 7: The AI-Centric Media Ecosystem: Hyperpersonalization, Monetization, Regulatory Frameworks, and Platform Governance.- Chapter 8: Transformative Reconfiguration of Media Value Chains: AI Automation from Content Production to Monetization Lifecycle.- Chapter 9: How AI Is Transforming the Global Media Industry: The Algorithmic and Meta Intelligent Convergence.- Chapter 10: AI Capital Expenditure (CapEx) in the Media Industry.- Chapter 11: The Economic Feasibility of AI in the Media Industry.- Chapter 12: Strategic Monetization in an AI-Augmented Media Ecosystem.- Chapter 13: AI, Scalability, and Ecosystemic Viability in the Media Industry.- Part III - Advertising Strategies: Chapter 14: AI in Media Advertising: Systemic Effects on Production, Innovation, Competition, Distribution, Technology, ROI, and Audience Viewership.- Chapter 15: Advertising Efficiency and Programmatic Precision.- Part IV - Strategic Positioning and Competitive Dynamics: Chapter 16: Strategic Imperatives for Sustainable AI Integration in the Media Industry.- Chapter 17: The Competitive Superiority of AI Leaders in the Media Industry.- Chapter 18: Strategic Advantages of AI in the Media Industry: Competitive, Economic, Business Model, and Technological Dimensions.- Chapter 19: Strategic Challenges and Critical Considerations in Adopting and Implementing AI in the Media Industry.- Chapter 20: Benefits and Strategic Implications of AI Adoption and Deployment in the Media Industry.- Part V - Technological Applications in Journalism and Media: Chapter 21: Automated Newsrooms and Narrative Intelligence: Reporting, Editorial Workflow Automation, Multimedia Editing, and Real-Time Translation for Global Markets.- Chapter 22: Structural Reconfiguration of Streaming and OTT Business Models: Discovery, Personalization, and Traffic Engineering in the AI Era.- Chapter 23: From Passive Pipelines to Algorithmic Architectures: AI-Driven Transformation of the Global Video Streaming Ecosystem.- Chapter 24: AI Television Device‑Side Intelligence as a Next‑Generation Algorithmic Media: End‑to‑End Architecture, Cross‑Layer Orchestration, and Socio‑Technical Governance in the Connected Home.- Part VI - Media Policy, Regulation, Ethical Models, and Platform Transformations: Chapter 25: The Transformational Impact of Artificial Intelligence on Media Market Concentration.- Chapter 26: AI Recentralization and Reintermediation in Media Platforms, Cloud Infrastructure, and Intermediaries.- Chapter 27: Competitive and Value‑Capture Implications of Closed Platforms, Walled‑Garden Models, and Proprietary Infrastructure for AI-Intermediated Media Ecosystems.- Chapter 28: Comparative Global Governance of AI-Intermediated Media: Ethics, Accountability, and Regulatory Frameworks.- Part VII - Future Directions and Research Inquiry.- Chapter 29: Disruptive Horizons: Emerging AI Technologies Poised to Reshape the Global Media Industry.- Chapter 30: Structural, Organizational, and Sociotechnical Constraints on AI Implementation in the Media Industry.- Chapter 31: Mapping the Field: The Most Frequently Researched Topics on the Impact and Use of AI in the Media Industries.- Chapter 32: Prescriptive Research Pathways: One Hundred Underexplored Research Questions on AI in the Media Industry.- Chapter 33: How AI is Transforming the Global Media Industries: The Convergence of AI and the Media Industries.- Chapter 34: The Future Trajectories of AI-Mediated Reconfiguration of Global Media Industries.