Nolan Vey Vey Architects of Dominance

Architects of Dominance

von Nolan Vey

Financial Consolidation, Chip Geopolitics, and the Regulatory Failures Shaping AI's Global Power Order

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Beschreibung

Power in the AI era is not declared. It is embedded — in chips, in contracts, and in the silence of legislatures that moved too slowly.
Artificial intelligence was never only a technological question. From its earliest commercial phase, it became an arena in which financial capital, infrastructure control, and legislative influence converged in ways that resemble the great industrial monopolies of the twentieth century — but operate at a speed and opacity that earlier antitrust frameworks were never designed to address. This book examines the structural forces through which a small number of corporations have positioned themselves to govern not merely markets, but the foundational layers of how intelligence itself is produced and distributed. The financial consolidation behind this process is neither accidental nor subtle. The aggressive acquisition of startups, the systematic absorption of competing talent through retention contracts and equity structures, and the channeling of sovereign wealth and private capital into a handful of vertically integrated AI developers have created dependency chains that regulators are only beginning to map. OpenAI, Microsoft, Google DeepMind, and Meta have not merely competed — they have restructured the landscape so that meaningful independent competition requires access to capital, compute, and data that only incumbents can provide. What appears as innovation is often the formalization of market closure. Below the software layer, a more tangible struggle has unfolded.

Autor*in

Nolan Vey
He creates business, history, and self-help books with a sharp, minimal, and internationally marketable tone.

Themen in »Architects of Dominance«

AI monopoly big tech semiconductor geopolitics Taiwan OpenAI Microsoft consolidation EU AI Act regulation data center energy infrastructure copyright AI training data

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Details

ISBN: 9783565634347
Verlag: epubli
Erscheinung: 11.08.2026

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